Article

Association of CREBRF variants with obesity and diabetes in Pacific Islanders from Guam and Saipan

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Abstract

Aims/hypothesis Variants in CREBRF (rs12513649 and rs373863828) have been strongly associated with increased BMI and decreased risk of type 2 diabetes in Polynesian populations; the A allele at rs373863828 is common in Polynesians but rare in most other global populations. The aim of the present study was to assess the association of CREBRF variants with obesity and diabetes in Pacific Islander (largely Marianas and Micronesian) populations from Guam and Saipan. Methods CREBRF rs12513649 and rs373863828 were genotyped in 2022 participants in a community-based cross-sectional study designed to identify determinants of diabetes and end-stage renal disease (ESRD). Associations were analysed with adjustment for age, sex, ESRD and the first four genetic principal components from a genome-wide association study (to account for population stratification); a genomic control procedure was used to account for residual stratification. Results The G allele at rs12513649 had an overall frequency of 7.7%, which varied from 2.2% to 20.7% across different Marianas and Micronesian populations; overall frequency of the A allele at rs373863828 was 4.2% (range: 1.1–5.4%). The G allele at rs12513649 was associated with higher BMI (β = 1.55 kg/m² per copy; p = 0.0026) as was the A allele at rs373863828 (β = 1.48 kg/m², p = 0.033). The same alleles were associated with lower risk of diabetes (OR per copy: 0.63 [p = 0.0063] and 0.49 [p = 0.0022], respectively). Meta-analyses combining the current results with previous results in Polynesians showed a strong association between the A allele at rs373863828 and BMI (β = 1.38 kg/m²; p = 2.5 × 10⁻²⁹) and diabetes (OR 0.65, p = 1.5 × 10⁻¹³). Conclusions/interpretation These results confirm the associations of CREBRF variants with higher BMI and lower risk of diabetes and, importantly, they suggest that these variants contribute to the risk of obesity and diabetes in Oceanic populations.

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... Interestingly, the A allele was associated with a higher BMI but had the opposite effect on diabetes. Moreover, this allele was also found in Marianas and Micronesian populations at notably higher rates than the global frequency (1.1% and 5.4%, respectively) while exhibiting the same relationships with increased BMI and decreased risk of diabetes [15]. ...
... Thus, it's possible that this hereditary gene variant may effectively increase Polynesian lean body mass rather than fat mass [16]. Contrarily, these individuals likely have a decreased risk of diabetes, though the prevalence of other comorbidities is currently unknown [15]. ...
... Interestingly, one of the few studies that measured body fat percentage (BF%) rather than BMI in Oceanic populations did so in Samoan children, finding that these children did indeed have a higher BF% but a lower trunk-to-peripheral fat ratio compared to other ethnic groups [24,25]. Considering the potential implications of heredity differences among Oceanic populations, a more definitive interpretation of body composition is warranted for this demographic beyond the capabilities of BMI [15,16,23]. ...
Article
This study is a triphasic exploration of the Oceania region’s disproportionate obesity rates and access to obesity related clinical trials. To accomplish this, this study investigated the prevalence of obesity clinical trials compared to the worldwide population proportion, the validation of existing obesity data for this population, and the application of exercise and non-exercise-based clinical trials. No statistically significant relationship was noted between the regional population and obesity clinical trial proportions. Simply, the size of a regional population did not directly influence the number of clinical trials. However, findings did validate that Oceanic populations exhibit higher Body Mass Index (BMI) values compared to the global population, in alignment with previous literature. One sample t-tests revealed a statistically significant difference (p <.001) difference between mean BMI, obesity rate (BMI >30), and morbid obesity rate (BMI >40) in Oceanic populations compared to worldwide rates. Despite the disproportionate obesity rates in this demographic, a negligible number of clinical trials, especially those including exercise interventions, have been made available to this population. Finally, exercise-based clinical trials were used infrequently worldwide, a rate that was exceptionally low amongst studies conducted in the Oceania region. Of note, emerging literature suggests that Oceanic populations, specifically Polynesians, exhibit a genetic anomaly that increases body mass without necessarily increasing fat mass via allele rs373863828. Thus, while the existing BMI data expresses significantly higher obesity rates, more comprehensive research is needed on this population to understand this demographic’s typical body composition. Otherwise, some areas within the Oceania region continue to exhibit obesity rates exceeding five times that of the world average, yet are rarely provided with obesity clinical trials to mitigate obesity-related disease and comorbidities. These findings suggest a need for more equitable allocation of research resources to address the unique challenges posed by obesity in the Oceanic population.
... Our discovery has been replicated in several other Pacific Islander populations (M aori, Tongan, Cook Islander, Niuean, Chamorro, Chuukese) [2][3][4][5][6], and it may partially explain the greater risk of obesity compared with other ethnic groups. The paradoxical associations of rs373863828 with BMI and diabetes, however, remain unexplained. ...
... We found that the minor allele was associated with greater absolute fat-free mass in both sexes, suggesting a potential role for lean mass in mediating the variant's effect on glucose homeostasis. However, although the variant had a negative overall direct effect on fasting glucose, consistent with previous reports [1,4,6], the indirect effect of rs373863828 on fasting glucose mediated by FFMI was in the opposite direction (i.e., associated with higher fasting glucose). ...
... Although it is not possible to obtain the same measures of fat distribution in infants as we explored here in adults, we also saw no effect on total or percent fat mass. The mechanism linking rs373863828 genotype and lean mass is and its association with BMI, including our own, have adjusted for sex rather than presenting sex-stratified analyses [1][2][3][4][5][6]; therefore, this phenomenon has not been noted previously, to our knowledge. Our findings indicate that attempts to examine potential sex-and tissuespecific effects of the variant are warranted. ...
Article
Objective: The aim of this study was to understand whether the paradoxical association of missense variant rs373863828 in CREB3 regulatory factor (CREBRF) with higher BMI but lower odds of diabetes is explained by either metabolically favorable body fat distribution or greater fat-free mass. Methods: This study explored the association of the minor allele with dual-energy x-ray absorptiometry-derived body composition in n = 421 Samoans and used path analysis to examine the mediating role of fat and fat-free mass on the relationship between rs373863828 and fasting glucose. Results: Among females, the rs373863828 minor A allele was associated with greater BMI. There was no association of genotype with percent body fat, visceral adiposity, or fat distribution in either sex. In both females and males, lean mass was greater with each A allele: 2.16 kg/copy (p = 0.0001) and 1.73 kg/copy (p = 0.02), respectively. Path analysis showed a direct negative effect of rs373863828 genotype on fasting glucose (p = 0.004) consistent with previous findings, but also an indirect positive effect on fasting glucose operating through fat-free mass (p = 0.027). Conclusions: The protective effect of rs373863828 in CREBRF, common among Pacific Islanders, on type 2 diabetes does not operate through body composition. Rather, the variant's effects on body size/composition and fasting glucose likely operate via different, tissue-specific mechanisms.
... 1 One genetic variant associated with both, the minor allele A of a missense variant in CREBRF (rs373863828, c.1370G>A, p.R457Q) is simultaneously associated with higher BMI (1.36 kg/m 2 per copy of the A allele) and, contrary to expectations, lower the odds of type 2 diabetes (OR 0.586) and lower fasting glucose (−1.65 mg/ dL per copy of the A allele) in Samoans and other Pacific Island populations. [2][3][4][5][6] Alleles with such discrepant effects have been termed 'favorable adiposity' alleles. 7 8 Favorable adiposity alleles like those of rs373863828 in CREBRF and variants in ADAMTS9, GRB14/COBLL1, and TCF7L2 1 9 could reveal avenues for the study of the variation in biological pathways underlying the relationship between BMI and type 2 diabetes. ...
... 6 and Pacific Island people from Guam and Saipan (MAF=0.042), 4 but is very rare in non-Pacific populations (MAF <0.001). 10 11 The prevalence of obesity in Polynesia is among the highest in the world, and temporal increases in obesity-related disorders such as type 2 diabetes represent a growing public health problem in the region. ...
... 14 Previous work has focused on the direct associations of rs373863828 with BMI, type 2 diabetes, and fasting glucose. [2][3][4][5] Here we examine, more extensively, the relationships among type 2 diabetes, fasting glucose, BMI, and rs373863828 in three samples of adult Samoans (n=2861, n=1083, and n=1013) living in Samoa and American Samoa and a sample of adult Polynesians (n=1270) of several ancestries living in Aotearoa New Zealand. This combined study (n=7127) is the largest one thus far examining the relationship between rs373863828, type 2 diabetes, and BMI. 2 3 This is also the first time that path analysis has been used to explore the direct and indirect effects of rs373863828 on type 2 diabetes and fasting glucose. ...
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Introduction The minor allele of a missense variant, rs373863828, in CREBRF is associated with higher body mass index (BMI), lower fasting glucose, and lower odds of type 2 diabetes. rs373863828 is common in Pacific Island populations (minor allele frequency (MAF) 0.096–0.259) but rare in non-Pacific Island populations (MAF <0.001). We examined the cross-sectional associations between BMI and rs373863828 in type 2 diabetes and fasting glucose with a large sample of adults of Polynesian ancestries from Samoa, American Samoa, and Aotearoa New Zealand, and estimated the direct and indirect (via BMI) effects of rs373863828 on type 2 diabetes and fasting glucose. Research design and methods We regressed type 2 diabetes and fasting glucose on BMI and rs373863828 stratified by obesity, regressed type 2 diabetes and fasting glucose on BMI stratified by rs373863828 genotype, and assessed the effects of rs373863828 on type 2 diabetes and fasting glucose with path analysis. The regression analyses were completed separately in four samples that were recruited during different time periods between 1990 and 2010 and then the results were meta-analyzed. All samples were pooled for the path analysis. Results Association of BMI with type 2 diabetes and fasting glucose may be greater in those without obesity (OR=7.77, p=0.015 and β=0.213, p = 9.53×10 ⁻⁵ , respectively) than in those with obesity (OR=5.01, p=1.12×10 ⁻⁹ and β=0.162, p = 5.63×10 ⁻⁶ , respectively). We did not observe evidence of differences in the association of BMI with type 2 diabetes or fasting glucose by genotype. In the path analysis, the minor allele has direct negative (lower odds of type 2 diabetes and fasting glucose) and indirect positive (higher odds of type 2 diabetes and fasting glucose) effects on type 2 diabetes risk and fasting glucose, with the indirect effects mediated through a direct positive effect of rs373863828 on BMI. Conclusions There may be a stronger effect of BMI on fasting glucose in Polynesian individuals without obesity than in those with obesity. Carrying the rs373863828 minor allele does not decouple higher BMI from higher odds of type 2 diabetes.
... Strikingly, occurrence of this Arg457Gln missense variant is tightly restricted by descent and geography. It is present in all surveyed Polynesian populations, with reported minor allele frequencies as high as 0.259 in the Samoan cohort, but comparatively scarce even among the geographically close Melanesian and Micronesian populations and virtually non-existent in individuals outside the Pacific Islands [1][2][3][4][5][6]. ...
... More recently, associations with increased height and fat-free mass have also been described [6][7][8][9][10]. Intriguingly, carriers of the missense variant have a reported reduction in the risk of type 2 and gestational diabetes [1,5,11]. This phenotype is quite paradoxical, given the well-documented correlation between obesity and diabetes. ...
... This phenotype is quite paradoxical, given the well-documented correlation between obesity and diabetes. The reduction in diabetes risk, however, is retained even following adjustment for BMI and has been attributed to (undefined) effects of the variant on glucose homeostasis, which cause significantly lower fasting blood glucose levels operating independently of insulin sensitivity or secretion [1,3,5]. Of note, carriers of the missense variant seem to develop their phenotypic differentiation early in life, with effects on weight, height, and waist circumference seen also in childhood [1,6,[8][9][10]. ...
Article
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The Arg457Gln missense variant in the CREBRF gene has previously been identified as driving excess body weight in Pacific/Oceanic populations. Intriguingly, Arg457Gln variant carriers also demonstrate paradoxical reductions in diabetes risk, indicating that the gene has a critical role in whole-body metabolism. To study the function of this variant in more detail, we generated mice on an FVB/N background with the Crebrf Arg458Gln variant knocked in to replace the endogenous Crebrf. The whole-body metabolic phenotype was characterized for male and female mice on a regular chow diet or an 8-week high-fat challenge. Regular assessment of body composition found that the Crebrf variant had no influence on total body weight or fat mass at any time point. Glucose tolerance tests demonstrated no obvious genotype effect on glucose homeostasis, with indirect calorimetry measures of whole-body energy expenditure likewise unaffected. Male chow-fed variant carriers displayed a trend towards increased lean mass and significantly reduced sensitivity to insulin administration. Overall, this novel mouse model showed only limited phenotypic effects associated with the Crebrf missense variant. The inability to recapitulate results of human association studies may invite reconsideration of the precise mechanistic link between CREBRF function and the risks of obesity and diabetes in variant allele carriers.
... Although this variant is extremely rare in populations most commonly studied in GWAS (i.e., Europeans), it is very common in Samoans (~46% carry at least one copy of the risk allele). The relationship between CREBRF R457Q and obesity/diabetes risk has now been replicated by numerous other groups in Oceanic populations [9,[11][12][13][14][15]. However, despite its large effect size and high prevalence in this population, the mechanisms by which the CREBRF R457Q variant contributes to obesity and obesity-associated traits remain unknown. ...
... The human CREBRF R457Q variant is associated with greater body mass [6,[11][12][13] and linear height [8][9][10] in humans. To determine the effect of the murine CREBRF R458Q variant on these parameters, we evaluated energy homeostasis, body composition, and linear growth in male and female WT and KI mice under control nutritional conditions (low-fat diet, LFD; males only) and in response to chronic nutritional overload (high-fat diet, HFD; males and females) from weaning until sacrifice at 22 weeks of age. ...
... The human CREBRF R457Q variant is associated with relative protection from metabolic complications of obesity, most notably lower fasting glucose and lower diabetes risk [6,[11][12][13] as well as absence of expected obesity-associated increase in serum lipids in humans [6]. To determine the effect of the murine CREBRF R458Q variant on these parameters, we evaluated energy substrate utilization, glucose homeostasis, and lipid homeostasis in response to acute nutritional stress (<24h fasting and refeeding) and chronic nutritional stress (LFD and HFD feeding) in WT and KI mice. ...
Article
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Obesity and diabetes have strong heritable components, yet the genetic contributions to these diseases remain largely unexplained. In humans, a missense variant in Creb3 regulatory factor (CREBRF) [rs373863828 (p.Arg457Gln); CREBRFR457Q] is strongly associated with increased odds of obesity but decreased odds of diabetes. Although virtually nothing is known about CREBRF’s mechanism of action, emerging evidence implicates it in the adaptive transcriptional response to nutritional stress downstream of TORC1. The objectives of this study were to generate a murine model with knockin of the orthologous variant in mice (CREBRFR458Q) and to test the hypothesis that this CREBRF variant promotes obesity and protects against diabetes by regulating energy and glucose homeostasis downstream of TORC1. To test this hypothesis, we performed extensive phenotypic analysis of CREBRFR458Q knockin mice at baseline and in response to acute (fasting/refeeding), chronic (low- and high-fat diet feeding), and extreme (prolonged fasting) nutritional stress as well as with pharmacological TORC1 inhibition, and aging to 52 weeks. The results demonstrate that the murine CREBRFR458Q model of the human CREBRFR457Q variant does not influence energy/glucose homeostasis in response to these interventions, with the exception of possible greater loss of fat relative to lean mass with age. Alternative preclinical models and/or studies in humans will be required to decipher the mechanisms linking this variant to human health and disease.
... Population-specific genetic variation impacts type 2 diabetes risk [2][3][4]. The A allele of rs373863828, an Arg457Gln missense variant in the CREBRF gene, has been associated with a 30-40% reduction in risk of type 2 diabetes in people of Polynesian (Aotearoa New Zealand Māori and Pacific peoples) [4][5][6] and Oceanic (Marianas and Micronesian) [7] ancestries, as well as reduced risk of gestational diabetes in Māori and Pacific women with obesity [8]. CREBRF rs373863828 has a minor allele frequency of 5-27% in people of Polynesian and Oceanic ancestry but is rare (<0.01%) in non-Pacific populations [4,5,9,10]. ...
... Both higher muscle mass and metabolically favourable adipose tissue distribution could improve insulin sensitivity to protect from diabetes. However, whether the CREBRF Arg457Gln affects insulin sensitivity is not clear, since in people without diabetes the A allele associates with similar [7] or increased fasting insulin resistance [4] as assessed by HOMA-IR. Interestingly, however, Hanson et al. [7] reported 20% higher HOMA-B per A allele in Oceanic peoples without diabetes. ...
... However, whether the CREBRF Arg457Gln affects insulin sensitivity is not clear, since in people without diabetes the A allele associates with similar [7] or increased fasting insulin resistance [4] as assessed by HOMA-IR. Interestingly, however, Hanson et al. [7] reported 20% higher HOMA-B per A allele in Oceanic peoples without diabetes. HOMA-B is a marker of pancreatic beta cell function, and a decline in functional beta cell mass is a defining characteristic of type 2 diabetes pathogenesis [16]. ...
Article
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Aims/hypothesis The minor A allele of rs373863828 (CREBRF p.Arg457Gln) is associated with increased BMI, but reduced risk of type 2 and gestational diabetes in Polynesian (Pacific peoples and Aotearoa New Zealand Māori) populations. This study investigates the effect of the A allele on insulin release and sensitivity in overweight/obese men without diabetes. Methods A mixed meal tolerance test was completed by 172 men (56 with the A allele) of Māori or Pacific ancestry, and 44 (24 with the A allele) had a frequently sampled IVGTT and hyperinsulinaemic–euglycaemic clamp. Mixed linear models with covariates age, ancestry and BMI were used to analyse the association between the A allele of rs373863828 and markers of insulin release and blood glucose regulation. Results The A allele of rs373863828 is associated with a greater increase in plasma insulin 30 min following a meal challenge without affecting the elevation in plasma glucose or incretins glucagon-like polypeptide-1 or gastric inhibitory polypeptide. Consistent with this point, following an i.v. infusion of a glucose bolus, participants with an A allele had higher early (p < 0.05 at 2 and 4 min) plasma insulin and C-peptide concentrations for a similar elevation in blood glucose as those homozygous for the major (G) allele. Despite increased plasma insulin, rs373863828 genotype was not associated with a significant difference (p > 0.05) in insulin sensitivity index or glucose disposal during hyperinsulinaemic–euglycaemic clamp. Conclusions/interpretation rs373863828-A allele associates with increased glucose-stimulated insulin release without affecting insulin sensitivity, suggesting that CREBRF p.Arg457Gln may increase insulin release to reduce the risk of type 2 diabetes. Graphical abstract
... While type 2 diabetes and obesity are highly correlated, there is little overlap in genetic variants associated with each phenotype [1]. One genetic variant associated with both, the minor allele A of a missense variant in CREBRF (rs373863828, c.1370G>A, p.R457Q) is simultaneously associated with higher BMI (1.36 kg/m 2 per copy of the A allele) and, contrary to expectations, lower odds of type 2 diabetes (0.586 OR) and lower fasting glucose (−1.65 mg/dL per copy of the A allele) in Samoans and other Pacific Island populations [2][3][4][5][6]. Alleles with such discrepant effects have been termed "favorable adiposity" alleles [7,8]. ...
... The association of rs373863828 with BMI, obesity, type 2 diabetes, and fasting glucose was first identified in Samoans from Samoa and American Samoa [2] and has since been replicated in other Pacific populations [3][4][5][6]. rs373863828 is common in Samoans (minor allele frequency [MAF] = 0.259) [2], Tongans (MAF = 0.150) [5], Pukapukans (MAF = 0.243), Niueans (MAF = 0.096), Cook Island Māori (MAF = 0.195), New Zealand Māori (MAF = 0.174) [3], Native Hawaiians (MAF = 0.128) [6], and Pacific Island people from Guam and Saipan (MAF = 0.042) [4] but is very rare in non-Pacific populations (MAF < 0.001) [10,11]. ...
... The association of rs373863828 with BMI, obesity, type 2 diabetes, and fasting glucose was first identified in Samoans from Samoa and American Samoa [2] and has since been replicated in other Pacific populations [3][4][5][6]. rs373863828 is common in Samoans (minor allele frequency [MAF] = 0.259) [2], Tongans (MAF = 0.150) [5], Pukapukans (MAF = 0.243), Niueans (MAF = 0.096), Cook Island Māori (MAF = 0.195), New Zealand Māori (MAF = 0.174) [3], Native Hawaiians (MAF = 0.128) [6], and Pacific Island people from Guam and Saipan (MAF = 0.042) [4] but is very rare in non-Pacific populations (MAF < 0.001) [10,11]. ...
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Objective The minor allele of rs373863828 in CREBRF is associated with higher BMI, lower fasting glucose, and lower odds of type 2 diabetes. We examined the associations between BMI and rs373863828 on type 2 diabetes and fasting glucose with a large sample of adult Polynesians from Samoa, American Samoa and Aotearoa New Zealand and estimated direct and indirect (via BMI) effects of rs373863828 on type 2 diabetes and fasting glucose. Research Design and Methods We regressed type 2 diabetes and fasting glucose on BMI and rs373863828 stratified by obesity, regressed type 2 diabetes and fasting glucose on BMI stratified by rs373863828 genotype, and assessed the effects of rs373863828 on type 2 diabetes and fasting glucose with path analysis. Results Association of BMI with fasting glucose was greater in those without obesity than in those with obesity. We did not observe evidence of differences by genotype. In the path analysis, the minor allele has direct negative and indirect positive effects on type 2 diabetes risk and fasting glucose, with the indirect effect mediated through a direct positive effect on BMI. Conclusions There may be a stronger effect of BMI on fasting glucose in Polynesians without obesity than in those with obesity. Carrying the rs373863828 minor allele does not decouple higher BMI from odds of type 2 diabetes. Given the current cost of genotyping compared to the accessibility of measuring BMI, including rs373863828 as a clinical predictor of type 2 diabetes may not be indicated.
... The identification of a missense variant (rs373863828, c.1370G>A, p.R457Q) in the CREB3 Regulatory Factor (CREBRF), which occurs at a relatively high frequency within Pacific Islander populations (minor allele frequency [MAF] range: 0.042-0.259) [6][7][8][9][10][11][12][13][14], suggests that genetic influences might mitigate type 2 diabetes mellitus risk for some in this population and may attenuate the overall population prevalence. In a genome-wide association study (GWAS) of adult Samoans (n = 3,072) [6], the minor (A) allele of rs373863828 was paradoxically associated with greater BMI but lower odds of type 2 diabetes mellitus, and significantly lower FG among people without type 2 diabetes mellitus (with an effect size of 0.09 mmol/L lower FG for each copy of the minor allele) [6]. ...
... In a genome-wide association study (GWAS) of adult Samoans (n = 3,072) [6], the minor (A) allele of rs373863828 was paradoxically associated with greater BMI but lower odds of type 2 diabetes mellitus, and significantly lower FG among people without type 2 diabetes mellitus (with an effect size of 0.09 mmol/L lower FG for each copy of the minor allele) [6]. The same protective association between the A allele of rs373863828 and odds of type 2 diabetes mellitus has been replicated in Pacific Islanders living in Saipan and Guam [7], Native Hawaiians [8], and Māori and Pacific people living in New Zealand [13]. However, because these studies have been cross-sectional, the extent to which rs373863828 is associated with change in FG over time remains unknown. ...
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Background The A allele of rs373863828 in CREB3 regulatory factor is associated with high Body Mass Index, but lower odds of type 2 diabetes. These associations have been replicated elsewhere, but to date all studies have been cross-sectional. Our aims were (1) to describe the development of type 2 diabetes and change in fasting glucose between 2010 and 2018 among a longitudinal cohort of adult Samoans without type 2 diabetes or who were not using diabetes medications at baseline, and (2) to examine associations between fasting glucose rate-of-change (mmol/L per year) and the A allele of rs373863828. Methods We describe and test differences in fasting glucose, the development of type 2 diabetes, body mass index, age, smoking status, physical activity, urbanicity of residence, and household asset scores between 2010 and 2018 among a cohort of n = 401 adult Samoans, selected to have a ~2:2:1 ratio of GG:AG: AA rs373863828 genotypes. Multivariate linear regression was used to test whether fasting glucose rate-of-change was associated with rs373863828 genotype, and other baseline variables. Results By 2018, fasting glucose and BMI significantly increased among all genotype groups, and a substantial portion of the sample developed type 2 diabetes mellitus. The A allele was associated with a lower fasting glucose rate-of-change (β = −0.05 mmol/L/year per allele, p = 0.058 among women; β = −0.004 mmol/L/year per allele, p = 0.863 among men), after accounting for baseline variables. Mean fasting glucose and mean BMI increased over an eight-year period and a substantial number of individuals developed type 2 diabetes by 2018. However, fasting glucose rate-of-change, and type 2 diabetes development was lower among females with AG and AA genotypes. Conclusions Further research is needed to understand the effect of the A allele on fasting glucose and type 2 diabetes development. Based on our observations that other risk factors increased over time, we advocate for the continued promotion for diabetes prevention and treatment programming, and the reduction of modifiable risk factors, in this setting.
... The minor A allele of rs373863828 (R457Q) in the cAMP-responsive element binding protein 3 (CREB3) regulatory factor (CREBRF) gene, found uniquely in populations from the islands associated with Pacific ancestry, is associated with the largest increase in BMI reported for a common gene variant (approximately 1.4 kg/m 2 per allele), but, intriguingly, a 1.6-fold decrease in the risk of T2D. [7][8][9][10][11] The transcription factor CREB3 is an endoplasmic reticulum (ER) membrane-bound protein that is activated in response to ER-Golgi stress and then translocates to the nucleus to regulate gene transcription. CREBRF, which is regulated by cellular stress, sequesters CREB3, thus ending the above response. ...
... The CREBRF R457Q pigs had elevated fat deposition while maintaining normal insulin sensitivity, authentically replicating the increased BMI but reduced risk of T2D observed in human populations with R457Q mutations. [7][8][9][10][11] According to the location of the deposition, fat can be divided into visceral fat and subcutaneous fat. In the CREBRF R457Q variant pigs, body weight gain was mainly attributed to increased fat deposition in subcutaneous fat given that we did not observe distinct fat accumulation in the visceral organs. ...
Article
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Obesity is among the strongest risk factors for type 2 diabetes (T2D). The CREBRF missense allele rs373863828 (p. Arg457Gln, p. R457Q) is associated with increased body mass index but reduced risk of T2D in people of Pacific ancestry. To investigate the functional consequences of the CREBRF variant, we introduced the corresponding human mutation R457Q into the porcine genome. The CREBRFR457Q pigs displayed dramatically increased fat deposition, which was mainly distributed in subcutaneous adipose tissue other than visceral adipose tissue. The CREBRFR457Q variant promoted preadipocyte differentiation. The increased differentiation capacity of precursor adipocytes conferred pigs the unique histological phenotype that adipocytes had a smaller size but a greater number in subcutaneous adipose tissue (SAT) of CREBRFR457Q variant pigs. In addition, in SAT of CREBRFR457Q pigs, the contents of the peroxidative metabolites 4‐hydroxy‐nonenal and malondialdehyde were significantly decreased, while the activity of antioxidant enzymes, such as glutathione peroxidase, superoxide dismutase, and catalase, was increased, which was in accordance with the declined level of the reactive oxygen species (ROS) in CREBRFR457Q pigs. Together, these data supported a causal role of the CREBRFR457Q variant in the pathogenesis of obesity, partly via adipocyte hyperplasia, and further suggested that reduced oxidative stress in adipose tissue may mediate the relative metabolic protection afforded by this variant despite the related obesity.
... Islands have been found to have a high prevalence of obesity (10)(11)(12). A genome-wide study in Samoan individuals identified a variant in the CREB3 regulatory factor (CREBRF) gene that had a very large effect on risk for obesity (11). ...
... Interestingly, this variant was common in Samoan individuals but extremely rare in non-Pacific Island populations. The association with obesity was later replicated in other Polynesian populations such as Guam and Saipan (12). ...
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Objective: This study aimed to identify genetic variants enriched in Southwest American Indian (SWAI) individuals that associate with BMI. Methods: Whole genome sequencing data (n = 296) were used to identify potentially functional variants that are common in SWAI individuals (minor allele frequency ≥10%) but rare in other ethnic groups (minor allele frequency < 0.1%). Enriched variants were tested for association with BMI in 5,870 SWAI individuals. One variant was studied using a luciferase reporter, and haplotypes that included this variant were analyzed for association with various measures of obesity (n = 917-5,870), 24-hour energy expenditure (24-h EE; n = 419), and skeletal muscle biopsy expression data (n = 207). Results: A 5' untranslated region variant in cytochrome b5 type A (CYB5A), rs548402150, met the enrichment criteria and associated with increased BMI (β = 2%, p = 0.004). Functionally, rs548402150 decreased luciferase expression by 30% (p = 0.003) and correlated with decreased skeletal muscle CYB5A expression (β = -0.5 SD, p = 0.0008). Combining rs548402150 with two splicing quantitative trait loci in CYB5A identified a haplotype carried almost exclusively in SWAI individuals that associated with increased BMI (β = 3%, p = 0.0003) and decreased CYB5A expression, whereas the most common haplotype in all ethnic groups associated with lower BMI and percentage of body fatness, increased 24-h EE, and increased CYB5A expression. Conclusions: Further studies on the effects of CYB5A on 24-h EE and BMI may provide insights into obesity-related physiology.
... The rs373863828 minor (A) allele causes the p.Arg457Gln substitution and the functional consequences of this are not well understood. This variant is unique to isolated populations in the islands of the Pacific where it is present at minor allele frequencies (MAF) of up to 25% in Polynesia (including Samoa, Aotearoa NZ Māori) [7][8][9] and at lower MAF in some areas of Melanesia and Micronesia [9,10]. Importantly, of single gene variants common in a population it has the biggest impact on BMI, being associated with an increase of up to 3 kg/m 2 per rs373863828 A allele [7][8][9][10] Increases in BMI in adults are commonly associated with a relative increase in adiposity [11] and initial evidence suggested the impact of the rs373863828 A allele on BMI was due to increased adiposity [8]. ...
... This variant is unique to isolated populations in the islands of the Pacific where it is present at minor allele frequencies (MAF) of up to 25% in Polynesia (including Samoa, Aotearoa NZ Māori) [7][8][9] and at lower MAF in some areas of Melanesia and Micronesia [9,10]. Importantly, of single gene variants common in a population it has the biggest impact on BMI, being associated with an increase of up to 3 kg/m 2 per rs373863828 A allele [7][8][9][10] Increases in BMI in adults are commonly associated with a relative increase in adiposity [11] and initial evidence suggested the impact of the rs373863828 A allele on BMI was due to increased adiposity [8]. Based on this it was suggested this variant was an evolutionary adaptation for facilitating energy storage and thus was acting as a thrifty gene [8] . ...
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The minor allele (A) of the rs373863828 variant (p.Arg457Gln) in CREBRF is restricted to indigenous peoples of the Pacific islands (including New Zealand Māori and peoples of Polynesia), with a frequency up to 25% in these populations. This allele associates with a large increase in body mass index (BMI) but with significantly lower risk of type-2 diabetes (T2D). It is unclear whether the increased BMI is driven by increased adiposity or by increased lean mass. Hence, we undertook body composition analysis using DXA in 189 young men of Māori and Pacific descent living in Aotearoa New Zealand. The rs373863828 A allele was associated with a trend toward increased relative lean mass although this was not statistically significant (p=0.06). Notably though this allele was associated with significantly lower circulating levels of the muscle inhibitory hormone myostatin (p<0.05). This was further investigated in two Arg458Gln knockin mouse models on FVB/Nj and C57Bl/6j backgrounds. Supporting the human data, significant increases in relative lean mass were observed in male knockin mice. This was more significant in older mice (p<0.01) where it was associated with increased grip strength (p<0.01) and lower levels of myostatin (p <0.05). Overall these results provide new evidence that the rs373863828 A-allele is associated with a reduction of myostatin levels which likely contributes to increased lean muscle mass component of BMI, at least in males.
... Rs373863828 was found to have a large effect on body mass index (BMI) as well as on a number of other adiposity, metabolic and anthropometric traits in Samoans (11). Despite an estimated 26% allele frequency in Samoans, the derived allele is only segregating in the few Pacific Islands populations and not found elsewhere in the world (12)(13)(14)(15)(16). Because of a lack in Polynesian haplotypes in publicly accessible sequencing databases (e.g. ...
... We demonstrated the urgent need of having proper reference sequences in order to explore population-specific variants in diverse populations by using rs373863828 in CREBRF as an example in this study. We replicated the increasing effect of the derived allele of this variant on anthropometric and adiposity traits in Native Hawaiians and its protective effect on type 2 diabetes, consistent with reports in other populations from the Pacific Islands (11,15,16). When examining more refined measure of body fat distribution, we also found the derived allele to be associated with increasing total fat mass and whole-body fat percentage, even though we only have data available on ∼ 300 Native Hawaiians. ...
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Statistical imputation applied to genome-wide array data is the most cost-effective approach to complete the catalog of genetic variation in a study population. However, imputed genotypes in underrepresented populations incur greater inaccuracies due to ascertainment bias and a lack of representation among reference individuals, further contributing to the obstacles to study these populations. Here we examined the consequences due to the lack of representation by genotyping in a large number of self-reported Native Hawaiians (N = 3693) a functionally important, Polynesian-specific variant in the CREBRF gene, rs373863828. We found the derived allele was significantly associated with several adiposity traits with large effects (e.g. approximately 1.28 kg/m2 per allele in BMI as the most significant; P = 7.5x10-5), consistent with the original findings in Samoans. Due to the current absence of Polynesian representation in publicly accessible reference sequences, rs373863828 or its proxies could not be tested through imputation using these existing resources. Moreover, the association signals at the entire CREBRF locus could not be captured by alternative approaches, such as admixture mapping. In contrast, highly accurate imputation can be achieved even if a small number (<200) of internally constructed Polynesian reference individuals were available; this would increase sample size and improve the statistical evidence of associations. Taken together, our results suggest the alarming possibility that lack of representation in reference panels could inhibit discovery of functionally important loci such as CREBRF. Yet, they could be easily detected and prioritized with improved representation of diverse populations in sequencing studies.
... Rs373863828 was found to have a large effect on body mass index (BMI) as well as on a number of other adiposity, metabolic, and anthropometric traits in Samoans 11 . Despite an estimated 26% allele frequency in Samoans, the derived allele is only segregating in the few Pacific Islands populations and not found elsewhere in the world [12][13][14][15][16] . Because of a lack in Polynesian haplotypes in publicly accessible sequencing databases (e.g. ...
... We demonstrated the urgent need of having proper reference sequences in order to explore population-specific variants in diverse populations by using rs373863828 in CREBRF as an example in this study. We replicated the increasing effect of the derived allele of this variant on anthropometric and adiposity traits in Native Hawai'ians, and its protective effect on type II diabetes, consistent with reports in other populations from the Pacific Islands 11,15,16 . When examining more refined measure of body fat distribution, we also found the derived allele to be associated with increasing total fat mass and whole body fat percentage, even though we only have data available on ~300 Native Hawai'ians. ...
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Statistical imputation applied to genome-wide array data is the most cost-effective approach to complete the catalog of genetic variation in a study population. However, imputed genotypes in underrepresented populations incur greater inaccuracies due to ascertainment bias and a lack of representation among reference individuals,, further contributing to the obstacles to study these populations. Here we examined the consequences due to the lack of representation by genotyping a functionally important, Polynesian-specific variant, rs373863828, in the CREBRF gene, in a large number of self-reported Native Hawai'ians (N=3,693) from the Multiethnic Cohort. We found the derived allele of rs373863828 was significantly associated with several adiposity traits with large effects (e.g. 0.214 s.d., or approximately 1.28 kg/m2, per allele, in BMI as the most significant; P = 7.5x10-5). Due to the current absence of Polynesian representation in publicly accessible reference sequences, rs373863828 or any of its proxies could not be tested through imputation using these existing resources. Moreover, the association signals at this Polynesian-specific variant could not be captured by alternative approaches, such as admixture mapping. In contrast, highly accurate imputation can be achieved even if a small number (<200) of Polynesian reference individuals were available. By constructing an internal set of Polynesian reference individuals, we were able to increase sample size for analysis up to 3,936 individuals, and improved the statistical evidence of association (e.g. p = 1.5x10-7, 3x10-6, and 1.4x10-4 for BMI, hip circumference, and T2D, respectively). Taken together, our results suggest the alarming possibility that lack of representation in reference panels would inhibit discovery of functionally important, population-specific loci such as CREBRF. Yet, they could be easily detected and prioritized with improved representation of diverse populations in sequencing studies.
... The rs373863828 A allele had the strongest association with HbA1c compared to all other measured variables, re-affirming findings from prior studies in this setting [15,50], and others [50][51][52], of its importance for glucose management among Pacific Islanders, even when controlling for other risk factors. Ongoing investigations into the variant's mechanism of action will be important for informing future intervention approaches. ...
Article
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Understanding psychosocial determinants of health is critical in understudied, high-risk populations, where such knowledge could have a major impact on health outcomes. In Samoa, where diabetes prevalence has rapidly increased over 30 years, associations between psychosocial factors and diabetes remain poorly understood. The purpose of our study was to identify psychosocial factors associated with HbA1c among Samoan adults while accounting for established correlates of HbA1c including age, body composition, and genetic and behavioral risk factors. Participants (n = 349 adult Samoans; 53% female) who were not receiving diabetes care were selectively sampled from the Soifua Manuia (2017 – 2019) study. Multiple linear regression with backwards elimination and a bootstrapping stability investigation was used to assess associations between HbA1c and participant demographics, genetics (rs373863828 A allele in CREBRF), biological, behavioral, and psychosocial variables (i.e., self-esteem, self-efficacy, social support, health related quality of life, perceived social conflict, food security). The rs373863828 genotype and age were statistically significantly associated with HbA1c—more copies of the rs373863828 A allele and younger age were associated with lower HbA1c. While not statistically significant based on confidence intervals, those with greater self-efficacy tended to have lower HbA1c, while those with higher social support tended to have higher HbA1c. Based on the frequent appearances of psychosocial factors in our models, we advocate for increased awareness and promotion of psychosocial health, and health promoting social support in Samoa. Integrating psychosocial and mental health awareness with standard biomedical protocols and health promotion materials provides an important and empowering means of diabetes prevention and management.
... lean mass at 2 to 4 months 12 and a taller stature at 5 to 18 years of age 13 . Consistent with its protective role in diabetes [8][9][10] , the rs373863828 A allele was associated with a five-fold reduction in the likelihood of GDM in New Zealand Māori and Pacific pregnant women with obesity, without any apparent influence on gestational weight gain or maternal lipid concentrations 14 . ...
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In Māori and Pacific adults, the CREBRF rs373863828 minor (A) allele is associated with increased body mass index (BMI) but reduced incidence of type-2 and gestational diabetes mellitus. In this prospective cohort study of Māori and Pacific infants, nested within a nutritional intervention trial for pregnant women with obesity and without pregestational diabetes, we investigated whether the rs373863828 A allele is associated with differences in growth and body composition from birth to 12–18 months’ corrected age. Infants with and without the variant allele were compared using generalised linear models adjusted for potential confounding by gestation length, sex, ethnicity and parity, and in a secondary analysis, additionally adjusted for gestational diabetes. Carriage of the rs373863828 A allele was not associated with altered growth and body composition from birth to 6 months. At 12–18 months, infants with the rs373863828 A allele had lower whole-body fat mass [FM 1.4 (0.7) vs. 1.7 (0.7) kg, aMD −0.4, 95% CI −0.7, 0.0, P = 0.05; FM index 2.2 (1.1) vs. 2.6 (1.0) kg/m² aMD −0.6, 95% CI −1.2,0.0, P = 0.04]. However, this association was not significant after adjustment for gestational diabetes, suggesting that it may be mediated, at least in part, by the beneficial effect of CREBRF rs373863828 A allele on maternal glycemic status.
... A missense variant in the CREB3 Regulatory Factor (CREBRF) gene, rs373863828, has been associated with higher body mass index (BMI) in Samoan adults, with each copy of the minor allele associated with a 1.4 kg/m 2 increase in BMI [1]. This association has been replicated in a Saipanese and Guamanian (Micronesian) cohort, a Tongan cohort, a Māori and Pacific Island (Polynesian) cohort from Aotearoa New Zealand, and a Native Hawaiian cohort [2][3][4][5]. The rs373863828 variant has also been associated with greater average body fat percentage, abdominal circumference, hip circumference, and height [1,[5][6][7] as well as favorable lipid profiles [1,8] and a decreased odds of diabetes [1]. ...
Preprint
Background The Pacific-specific minor allele of rs373863828, a missense variant in CREB3 Regulatory Factor (CREBRF), is associated with several cardiometabolic phenotypes in Polynesian peoples, but the variant's function remains poorly understood. To broaden our understanding of this variant, we used joint multivariate and network analyses to examine the relationships between rs373863828 and a panel of correlated anthropometric and lipid phenotypes. Methods We tested the association of rs373863828 with a panel of phenotypes (body mass index [BMI], weight, height, HDL cholesterol, triglycerides, and total cholesterol) under a multivariate Bayesian association model in a cohort from Samoa (N = 1632), a Maori and Pacific Island (Polynesian) cohort from Aotearoa New Zealand (N = 1419), and the combined cohort (N = 2976). An expanded set of phenotypes (adding estimated fat and fat-free mass, abdominal circumference, hip circumference, and abdominal-hip ratio) was also tested in the Samoa cohort (N = 1496). Bayesian networks were learned to further understand the structure of the relationships. Results In the Samoa cohort, significant associations (log10 Bayes factor >=5.0) were found between rs373863828 and the overall phenotype panel (7.97), weight (8.35) and BMI (6.39). In the Aotearoa New Zealand cohort, suggestive associations (log10 Bayes factor between 1.5 and 5) were found between rs373863828 and the overall phenotype panel (3.64), weight (3.30), and BMI (1.79). In the combined cohort, concordant signals with stronger magnitudes were observed. In the expanded phenotype analyses among the Samoa cohort, significant associations were also observed between rs373863828 and fat mass (5.68), abdominal circumference (5.37), and hip circumference (5.15). Bayesian networks provided evidence for a direct association of rs373863828 with weight and indirect associations with height and BMI. Conclusions When correlation structures were considered, multivariate Bayesian analyses provided additional evidence of rs373863828's pleiotropic effects and highlighted a strong direct effect only on weight.
... The minor A allele of the CREBRF missense variant rs373863828 was found to be strongly associated with greater average BMI in the Samoan adult population, using cross-sectional data collected in 2010 (6,7 ), an effect replicated in several Polynesian and Micronesian populations (8,9,10). rs373863828 is common in Samoans (minor allele frequency 0.259) and other Pacific Islanders but is extremely rare in non-Pacific Islanders (9). ...
Article
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Objective A missense variant, rs373863828, in CREBRF is associated with obesity in Polynesians. We investigate whether rs373863828 and other factors are associated with body mass index (BMI) rate-of-change between 2010 and 2017–19 in Samoans. Methods We used sex-stratified models to test whether BMI rate-of-change was associated with rs373863828, baseline BMI, age, residence, physical activity, and household asset score in a cohort study of 480 Samoan adults measured in both 2010 (mean age 43.8 years) and 2017–19. Results Mean BMI increased from 32.1 to 33.5 kg/m² in males (n = 220, p = 1.3 ×10⁻⁸) and from 35.9 to 37.8 kg/m² in females (n = 260, p = 1.2 ×10⁻¹³). In females, the A allele was associated with a higher rate-of-change (0.150 kg/m²/year/allele, p = 1.7 ×10⁻⁴). Across 10-year age groups, mean BMI rate-of-change was lower in older participants. The BMI rate of change differed by genotype: it was, in females with AA genotype, approximately half that seen in GG and AG participants. In females lower baseline household asset scores were associated with a higher rate-of-change (p = 0.002). Conclusions In Samoans, the minor A allele of rs373863828 is associated with an increased rate-of-change in BMI in females. On average, BMI of females with the AA genotype increased 0.30 kg/m²/year more than of those with the GG genotype.
... Although they suggested that this allele had been subject to positive selection, establishing whether the enhanced allele frequency was a consequence of positive selection due to enhanced survival during famine events or founder effects followed by rapid population expansion is challenging. This finding was later replicated in other Polynesian populations [109] where it was shown to not only increase BMI but also reduce the risk of developing type 2 diabetes. More recent work suggests that this missense variant actually impacts BMI via an effect on fat-free mass rather than fat mass [110], thus explaining the paradoxical effects on BMI and type 2 diabetes risk, and making the possibility it is a "thrifty variant" related to fat storage as originally claimed remote. ...
Article
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People completely lacking body fat (lipodystrophy/lipoatrophy), and those with severe obesity, both show profound metabolic and other health issues. Regulating levels of body fat somewhere between these limits would therefore appear to be adaptive. Two different models might be contemplated. More traditional is a set-point where levels are regulated around a fixed level. Alternatively, is a system that tolerates fairly wide variation but is activated when critically high or low levels are breached - a dual intervention point (DIP) system. A DIP system seems to fit our experience much better than a set-point, and models suggest it is more likely to have evolved. A DIP system may have evolved because of two contrasting selection pressures. At the low end we may have been selected to avoid low levels of fat as a buffer against starvation, disease induced anorexia, and to support reproduction. At the upper end we may have been selected to avoid excess storage because of the elevated risks of predation. This upper limit of control seems to have malfunctioned because some of us deposit large fat stores, with important negative health effects. Why has evolution not protected us against this problem? One possibility is that because the system evolved as a protection against predation risks, then when we dramatically reduced the risk of being predated in our evolutionary history, the protective system slowly fell apart due to random mutations. By chance it fell apart more in some people than others, and these people are now unable to effectively manage their weight in the face of the modern food glut. To understand the evolutionary context of obesity it is important to separate the adaptive reason for storing some fat (i.e. the lower intervention point), from the non-adaptive reason for storing lots of fat (a broken upper intervention point). The DIP model has several consequences for how we understand the obesity problem and what happens when we attempt to treat it.
... The rs373863828 minor (A) allele causes the p.Arg457Gln substitution, and the functional consequences of this are poorly understood. This variant is unique to isolated populations in the islands of the Pacific where it is present at minor allele frequencies (MAF) of up to 25% in Polynesia (including Samoa, Aotearoa NZ M aori) [7e9] and at lower MAF in some areas of Melanesia and Micronesia [9,10]. Importantly, of single gene variants common in a population, it has the biggest impact on BMI, being associated with an increase of up to 3 kg/m 2 per rs373863828 A allele [7e10]. ...
Article
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Objective: The minor allele (A) of the rs373863828 variant (p.Arg457Gln) in CREBRF is restricted to indigenous peoples of the Pacific islands (including New Zealand Māori and peoples of Polynesia), with a frequency of up to 25% in these populations. This allele associates with a large increase in body mass index (BMI) but with significantly lower risk of type-2 diabetes (T2D). It remains unclear whether the increased BMI is driven by increased adiposity or by increased lean mass. Methods: We undertook body composition analysis using DXA in 189 young men of Māori and Pacific descent living in Aotearoa New Zealand. Further investigation was carried out in two orthologous Arg458Gln knockin mouse models on FVB/NJ and C57BL/6j backgrounds. Results: The rs373863828 A allele was associated with lower fat mass when adjusted for BMI (p < 0.05) and was associated with significantly lower circulating levels of the muscle inhibitory hormone myostatin (p < 0.05). Supporting the human data, significant reductions in adipose tissue mass were observed in the knockin mice. This was more significant in older mice in both backgrounds and appeared to be the result of reduced age-associated increases in fat mass. The older male knockin mice on C57BL/6j background also had increased grip strength (p < 0.01) and lower levels of myostatin (p < 0.05). Conclusion: Overall, these results prove that the rs373863828 A-allele is associated with a reduction of myostatin levels which likely contribute to an age-dependent lowering of fat mass, at least in males.
... The minor allele of rs373863828 (p.Arg457Gln), found uniquely in populations from the islands of the Paci c, encoding cAMP-responsive element binding protein 3 (CREB3) factor regulatory (CREBRF) is associated with the largest increase in BMI reported for a common gene variant (approximately 1.4kg/m2 per allele) yet intriguingly, 1.6-fold decrease in the risk of type 2 diabetes [7][8][9][10][11] . CREBRF, expressed widely in a variety of tissues, is a speci c negative regulator of CREB3; it can translocate nuclear CREB3 out of the nucleus and promote CREB3 protein degradation, which regulates the CREB3/Luman protein localized at the endoplasmic reticulum CREBRF (CREB3 regulatory factor) 12 . ...
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Obesity is one of the most important risk factors for type 2 diabetes (T2DM). The CREBRF missense allele of rs373863828 (p.Arg457Gln) is associated with increased body mass index (BMI), yet reduced risk of T2DM in people with Pacific ancestry. To investigate the functional consequences of the CREBRF variant, we introduced the corresponding human mutation p.Arg457Gln into porcine genome by using a CRISPR/Cas9-mediated homologous recombination (HR)-dependent approach. The CREBRF p.Arg457Gln pig models displayed dramatically increased fat deposition, yet improved sensitivity to insulin. Transcriptome and metabolome analyses of subcutaneous white adipose tissues showed that the CREBRF p.Arg457Gln mutation promoted preadipocyte differentiation, which indicated that obesity was caused by increased number (hyperplasia) rather than size (hypertrophy) of adipocytes. In addition, the oxidative capacity decreased in the adipose tissue of pigs with CREBRF p.Arg457Gln variant. The pre-oxidative metabolite content (4-HNE and MDA) significantly decreased, while activity of antioxidant enzymes (GPX, SOD, and CAT) increased, thereby repressing oxidative metabolism of adipose tissue and reducing level of reactive oxygen species (ROS). The low reactive oxygen species could prevent insulin resistance and reduce risk of obesity-induced type 2 diabetes. This study provides further mechanistic insights into favourable adiposity resulting from CREBRF p.Arg457Gln.
... An upstream variant in XBP1 has been suggested to be associated with increased T2D risk, increased fasting plasma glucose levels and fasting insulin levels in Han Chinese (28). Two common variants in the CREBRF gene, encoding a transcriptional repressor of the UPR, have been recently found to be associated with obesity and T2D risk in Pacific Highlanders (29). Variants in PDX1 have a strong genetic association with random and fasting glucose (25). ...
Article
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The notion that in diabetes pancreatic β-cells express endoplasmic reticulum (ER) stress markers indicative of increased unfolded protein response (UPR) signaling is no longer in doubt. However, what remains controversial is whether this increase in ER stress response actually contributes importantly to the β-cell failure of type 2 diabetes (akin to ‘terminal UPR’), or whether it represents a coping mechanism that represents the best attempt of β-cells to adapt to changes in metabolic demands as presented by disease progression. Here an intercontinental group of experts review evidence for the role of ER stress in monogenic and type 2 diabetes in an attempt to reconcile these disparate views. Current evidence implies that pancreatic β-cells require a regulated UPR for their development, function and survival, as well as to maintain cellular homeostasis in response to protein misfolding stress. Prolonged ER stress signaling, however, can be detrimental to β-cells, highlighting the importance of “optimal” UPR for ER homeostasis, β-cell function and survival.
... Nonetheless, this is a single locus that could be selected for its pleiotropic effect in Samoa. Its frequency is quite variable across Pacific Island populations 26,[54][55][56][57][58] , and the selection evidence was not replicated in a recent study of Native Hawaiians (although the sample size was small 26 ). Given the more comprehensive European-and East Asian-centric GWAS data on BMI and T2D [59][60][61][62] , the advancement in population genetic methods to detect selection across different time scales [63][64][65][66] , and the emerging genomic data from large epidemiological cohorts from Polynesian populations 21,48 , there is now an opportunity to systematically survey the genome for signature of adaptation, assess their modern-day health consequences, if any, and rigorously put the Thrifty Gene Hypothesis to test. ...
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There is an urgent and well-recognized need to extend genetic studies to diverse populations, but several obstacles continue to be prohibitive, including (but not limited to) the difficulty of recruiting individuals from diverse populations in large numbers and the lack of representation in available genomic references. These obstacles notwithstanding, studying multiple diverse populations would provide informative, population-specific insights. Using Native Hawaiians as an example of an understudied population with a unique evolutionary history, I will argue that by developing key genomic resources and integrating evolutionary thinking into genetic epidemiology, we will have the opportunity to efficiently advance our knowledge of the genetic risk factors, ameliorate health disparity, and improve healthcare in this underserved population.
... Interestingly, however, the BMI-increasing allele is associated with decreased odds of type II diabetes and lower fasting serum glucose levels. Several studies in New Zealand Māori and Pacific Islanders (Tongans, Cook Islanders, Niueans and Mariana Islanders, and Micronesians from Guam and Saipan) have reproduced the incongruent effects on BMI and diabetes [7][8][9][10][11]. ...
Article
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Background/objectives: In Samoa, where 80% of the adult population is living with obesity, understanding the determinants of adiposity and growth during infancy may inform prevention efforts. We examined the association of a missense variant, rs373863828, in the CREBRF gene with body composition in Samoan infants. Adults with one or more copies of the rs373863828 minor allele (A) have higher odds of obesity, based on body-mass index (BMI), but paradoxically decreased odds of diabetes compared to those without the allele. Our study may offer novel insight into the natural history and pathogenesis of this unexpected relationship. Subjects/methods: In a prospective study, we measured body composition in early infancy, and at 2- and 4-months of age using anthropometry and dual-energy x-ray absorptiometry (DXA). We genotyped subjects at the CREBRF rs373863828 locus and compared infants with (AA/AG) and without (GG) the variant. In longitudinal analyses, we calculated the absolute change in each outcome from the early infant to the 4-month assessment, adjusting for baseline and other covariates. Results: In cross-sectional analyses, there was no significant difference in infant BMI or fat mass by genotype. After adjusting for covariates, infants with the variant had 4.0 ± 1.8 g more bone mass (p = 0.026) and 210.9 ± 79.6 g more lean mass (p = 0.009) at 4-months and accumulated 176.9 ± 73.0 g more lean mass between the early infant and 4-month assessment (p = 0.017). Conclusions: The CREBRF rs373863828 minor allele (A) was not associated with increased BMI or adiposity in Samoan infants, but instead with increased lean and bone mass. Our findings suggest that lean (i.e., muscle) and bone mass accretion should be explored as pathways to explain the "protective" effect of the CREBRF variant against diabetes.
... Recently, a missense variant (rs373863828, Arg457Gln, c.1370G>A) in the CREBRF gene was identified as being strongly associated with higher BMI (+1.4 kg/m 2 ) and waist circumference (+3 cm), but lower risk of type 2 diabetes (OR 0.59) among adults of Polynesian [13,14] and Micronesian [15] ancestry. The minor (A) allele is prevalent in New Zealand Māori and Pacific people (allelic frequency 10-27%) but exceedingly rare in other ethnic groups (0.01% in East Asians and 0.004% in Europeans) in the Genome Aggregation Database (http://gnomad.broadinstitute.org, ...
Article
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Aims/hypothesisThe CREBRF rs373863828 minor (A) allele is associated with increased BMI but reduced prevalence of type 2 diabetes in Māori and Pacific people. Given the shared aetiology of type 2 diabetes and gestational diabetes mellitus (GDM), we tested for an association between the CREBRF rs373863828 variant and GDM.Methods We conducted a prospective cohort study of Māori and Pacific women nested within a nutritional intervention study for pregnant women with obesity. Women were enrolled at 12–17 weeks’ gestation and underwent anthropometry and collection of buffy coats for later genetic testing. GDM was diagnosed by 75 g OGTT at 24–28 weeks’ gestation using the International Association of Diabetes and Pregnancy Study Groups criteria. Genotyping was performed by real-time PCR with a custom CREBRF rs373863828 probe-set. The association between CREBRF rs373863828 and GDM was analysed separately by ethnic group using logistic regression, with effect estimates combined in a meta-analysis.ResultsOf 112 Māori and Pacific pregnant women with obesity, 31 (28%) carried the CREBRF rs373863828 A allele (A/G or A/A) and 35 (31%) developed GDM. Women who carried the CREBRF rs373863828 A allele did not differ in BMI when compared with non-carriers (G/G). There was a fivefold reduction in the likelihood of GDM per CREBRF rs373863828 A allele (OR 0.19 [95% CI 0.05, 0.69], p = 0.01), independent of age, BMI and family history of diabetes (adjusted OR 0.13 [95% CI 0.03, 0.53], p = 0.004). GDM was diagnosed in 10% and 40% of women with and without the CREBRF rs373863828 A allele, respectively (no woman with the A/A genotype developed GDM).Conclusions/interpretationThe CREBRF rs373863828 (A) allele is associated with reduced likelihood of GDM in Māori and Pacific women with obesity and may improve GDM risk prediction. Graphical abstract
... A large-effect body mass index (BMI) increasing missense variant in CREBRF (rs373863828) was also recently identified, as it is common in Samoan populations (MAF ≈25%) and rare in other global populations outside of Oceania (Table 2). 118,119 The variant has a larger effect size (β=1.36 kg/m 2 ) than many common BMI loci, including FTO (rs1558902, the largest effect size variant reported in European GWAS 120 [β=0.39 kg/ m 2 ]), and is associated with decreased risk of T2D. ...
Article
Genome-wide association studies have revolutionized our understanding of the genetic underpinnings of cardiometabolic disease. Yet, the inadequate representation of individuals of diverse ancestral backgrounds in these studies may undercut their ultimate potential for both public health and precision medicine. The goal of this review is to describe the imperativeness of studying the populations who are most affected by cardiometabolic disease, to the aim of better understanding the genetic underpinnings of the disease. We support this premise by describing the current variation in the global burden of cardiometabolic disease and emphasize the importance of building a globally and ancestrally representative genetics evidence base for the identification of population-specific variants, fine-mapping, and polygenic risk score estimation. We discuss the important ethical, legal, and social implications of increasing ancestral diversity in genetic studies of cardiometabolic disease and the challenges that arise from the (1) lack of diversity in current reference populations and available analytic samples and the (2) unequal generation of health-associated genomic data and their prediction accuracies. Despite these challenges, we conclude that additional, unprecedented opportunities lie ahead for public health genomics and the realization of precision medicine, provided that the gap in diversity can be systematically addressed. Achieving this goal will require concerted efforts by social, academic, professional and regulatory stakeholders and communities, and these efforts must be based on principles of equity and social justice.
... Interestingly, however, the higher-BMI allele is associated with decreased odds of type 2 diabetes and lower fasting serum glucose levels. Several studies in New Zealand Māori and Pacific Islanders (Tongans, Cook Islanders, and Niueans) have recently replicated these findings [7][8][9][10][11], demonstrating comparable minor allele frequencies and reproducing the incongruent effects on BMI and type 2 diabetes. The variant is nearly absent in non-Pacific Islanders (14 alleles in 198,121 individuals, allele frequency=0.00004 in BRAVO and the Genome Aggregation Database (gnomAD) combined) [12,13]. ...
Article
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Background: The prevalence of obesity and diabetes in Samoa, like many other Pacific Island nations, has reached epidemic proportions. Although the etiology of these conditions can be largely attributed to the rapidly changing economic and nutritional environment, a recently identified genetic variant, rs373863828 (CREB 3 regulatory factor, CREBRF: c.1370G>A p.[R457Q]) is associated with increased odds of obesity, but paradoxically, decreased odds of diabetes. Objective: The overarching goal of the Soifua Manuia (Good Health) study was to precisely characterize the association of the CREBRF variant with metabolic (body composition and glucose homeostasis) and behavioral traits (dietary intake, physical activity, sleep, and weight control behaviors) that influence energy homeostasis in 500 adults. Methods: A cohort of adult Samoans who participated in a genome-wide association study of adiposity in Samoa in 2010 was followed up, based on the presence or absence of the CREBRF variant, between August 2017 and March 2019. Over a period of 7-10 days, each participant completed the main study protocol, which consisted of anthropometric measurements (weight, height, circumferences, and skinfolds), body composition assessment (bioelectrical impedance and dual-energy x-ray absorptiometry), point-of-care glycated hemoglobin measurement, a fasting blood draw and oral glucose tolerance test, urine collection, blood pressure measurement, hand grip strength measurement, objective physical activity and sleep apnea monitoring, and questionnaire measures (eg, health interview, cigarette and alcohol use, food frequency questionnaire, socioeconomic position, stress, social support, food and water insecurity, sleep, body image, and dietary preferences). In January 2019, a subsample of the study participants (n=118) completed a buttock fat biopsy procedure to collect subcutaneous adipose tissue samples. Results: Enrollment of 519 participants was completed in March 2019. Data analyses are ongoing, with results expected in 2020 and 2021. Conclusions: While the genetic variant rs373863828, in CREBRF, has the largest known effect size of any identified common obesity gene, very little is currently understood about the mechanisms by which it confers increased odds of obesity but paradoxically lowered odds of type 2 diabetes. The results of this study will provide insights into how the gene functions on a whole-body level, which could provide novel targets to prevent or treat obesity, diabetes, and associated metabolic disorders. This study represents the human arm of a comprehensive and integrated approach involving humans as well as preclinical models that will provide novel insights into metabolic disease. International registered report identifier (irrid): RR1-10.2196/17329.
Article
Obesity is a major global concern and is generally attributed to a combination of genetic and environmental factors. Several hypotheses have been proposed to explain the evolutionary origins of obesity epidemic, including thrifty and drifty genotypes, and changes in thermogenesis. Here, we put forward the hypothesis of metaflammation, which proposes that due to intense selection pressures exerted by environmental pathogens, specific genes that help develop a robust defense mechanism against infectious diseases have had evolutionary advantages and that this may contribute to obesity in modern times due to connections between the immune and energy storage systems. Indeed, incorporating the genetic variations of gut microbiota into the complex genetic framework of obesity makes it more polygenic than previously believed. Thus, uncovering the evolutionary origins of obesity requires a multifaceted approach that considers the complexity of human history, the unique genetic makeup of different populations, and the influence of gut microbiome on host genetics.
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The minor allele of rs373863828, a missense variant in CREB3 Regulatory Factor, is associated with several cardiometabolic phenotypes in Polynesian peoples. To better understand the variant, we tested the association of rs373863828 with a panel of correlated phenotypes (body mass index [BMI], weight, height, HDL cholesterol, triglycerides, and total cholesterol) using multivariate Bayesian association and network analyses in a Samoa cohort (n = 1632), Aotearoa New Zealand cohort (n = 1419), and combined cohort (n = 2976). An expanded set of phenotypes (adding estimated fat and fat‐free mass, abdominal circumference, hip circumference, and abdominal‐hip ratio) was tested in the Samoa cohort (n = 1496). In the Samoa cohort, we observed significant associations (log10 Bayes Factor [BF] ≥ 5.0) between rs373863828 and the overall phenotype panel (8.81), weight (8.30), and BMI (6.42). In the Aotearoa New Zealand cohort, we observed suggestive associations (1.5 < log10BF < 5) between rs373863828 and the overall phenotype panel (4.60), weight (3.27), and BMI (1.80). In the combined cohort, we observed concordant signals with larger log10BFs. In the Samoa‐specific expanded phenotype analyses, we also observed significant associations between rs373863828 and fat mass (5.65), abdominal circumference (5.34), and hip circumference (5.09). Bayesian networks provided evidence for a direct association of rs373863828 with weight and indirect associations with height and BMI.
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Knowing how genetic, behavioural, and sociocultural factors influence eachperson's risk for C. It is imperative that a larger, more diverse set of geneticstudies be done in order to be able to close the analysis of CMD distance Interms of disease prevention, there is a lot of interest in CMD genomic research.This potential can only be achieved if Ancestry DNA-style data like PRS issuccessfully gathered from the population. Inadequate participation is a bigissue in current CMD genetic research. Differential minorities in the UnitedStates and Canada have set forth some important steps to improve their accessto genetic research. To make sure that this will not happen again, these activitiesinclude discovering the issues and using community-based participatoryinterventions and benefits-sharing mechanisms. People underrepresented in theworld of genetics will require more services to support them.CMD and other genomics markers have been successfully identified and creatednovel avenues for human and population health change. In addition, it hascomplicated matters with regard to how this data would affect the broaderhealthcare system. What are the main questions: disproportionate difficulty inthe CMD genotype-phenotype database; confounded research on diseaseheritability; ethnicity may not be well described, making estimating diseaseheritability difficultDespite these roadblocks, genome-informed inclusive datawill bear unprecedented promise for bringing down CMD and improvingwellbeing. A large-scale data unification has already occurred, as mentioned inthis blog post to CMD Data sharing, however, is a project that must be done ona small scale in order to gain initial traction. This is also applicable to GWASresearch on self-identified ethnicity. Although race and ethnicity are sociallyand culturally constructed, the use of self-identifying categories in geneticstudies still endures.
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Aims/hypothesis: The A (minor) allele of CREBRF rs373863828 has been associated with increased BMI and reduced risk of type 2 diabetes in the Samoan populations of Samoa and American Samoa. Our aim was to test rs373863828 for associations with BMI and the odds of type 2 diabetes, gout and chronic kidney disease (CKD) in Māori and Pacific (Polynesian) people living in Aotearoa/New Zealand. Methods: Linear and logistic regression models were used to analyse the association of the A allele of CREBRF rs373863828 with BMI, log-transformed BMI, waist circumference, type 2 diabetes, gout and CKD in 2286 adults. The primary analyses were adjusted for age, sex, the first four genome-wide principal components and (where appropriate) BMI, waist circumference and type 2 diabetes. The primary analysis was conducted in ancestrally defined groups and association effects were combined using meta-analysis. Results: For the A allele of rs373863828, the effect size was 0.038 (95% CI 0.022, 0.055, p = 4.8 × 10-6) for log-transformed BMI, with OR 0.59 (95% CI 0.47, 0.73, p = 1.9 × 10-6) for type 2 diabetes. There was no evidence for an association of genotype with variance in BMI (p = 0.13), and nor was there evidence for associations with serum urate (β = 0.012 mmol/l, pcorrected = 0.10), gout (OR 1.00, p = 0.98) or CKD (OR 0.91, p = 0.59). Conclusions/interpretation: Our results in New Zealand Polynesian adults replicate, with very similar effect sizes, the association of the A allele of rs373863828 with higher BMI but lower odds of type 2 diabetes among Samoan adults living in Samoa and American Samoa.
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Samoans are a unique founder population with a high prevalence of obesity, making them well suited for identifying new genetic contributors to obesity. We conducted a genome-wide association study (GWAS) in 3,072 Samoans, discovered a variant, rs12513649, strongly associated with body mass index (BMI) (P = 5.3 × 10(-14)), and replicated the association in 2,102 additional Samoans (P = 1.2 × 10(-9)). Targeted sequencing identified a strongly associated missense variant, rs373863828 (p.Arg457Gln), in CREBRF (meta P = 1.4 × 10(-20)). Although this variant is extremely rare in other populations, it is common in Samoans (frequency of 0.259), with an effect size much larger than that of any other known common BMI risk variant (1.36-1.45 kg/m(2) per copy of the risk-associated allele). In comparison to wild-type CREBRF, the Arg457Gln variant when overexpressed selectively decreased energy use and increased fat storage in an adipocyte cell model. These data, in combination with evidence of positive selection of the allele encoding p.Arg457Gln, support a 'thrifty' variant hypothesis as a factor in human obesity.
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Recent genetic association studies have identified 55 genetic loci associated with obesity or body mass index (BMI). The vast majority, 51 loci, however, were identified in European-ancestry populations. We conducted a meta-analysis of associations between BMI and ∼2.5 million genotyped or imputed single nucleotide polymorphisms among 86 757 individuals of Asian ancestry, followed by in silico and de novo replication among 7488–47 352 additional Asian-ancestry individuals. We identified four novel BMI-associated loci near the KCNQ1 (rs2237892, P = 9.29 × 10−13), ALDH2/MYL2 (rs671, P = 3.40 × 10−11; rs12229654, P = 4.56 × 10−9), ITIH4 (rs2535633, P = 1.77 × 10−10) and NT5C2 (rs11191580, P = 3.83 × 10−8) genes. The association of BMI with rs2237892, rs671 and rs12229654 was significantly stronger among men than among women. Of the 51 BMI-associated loci initially identified in European-ancestry populations, we confirmed eight loci at the genome-wide significance level (P < 5.0 × 10−8) and an additional 14 at P < 1.0 × 10−3 with the same direction of effect as reported previously. Findings from this analysis expand our knowledge of the genetic basis of obesity.
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Cochrane Reviews have recently started including the quantity I 2 to help readers assess the consistency of the results of studies in meta-analyses. What does this new quantity mean, and why is assessment of heterogeneity so important to clinical practice? Systematic reviews and meta-analyses can provide convincing and reliable evidence relevant to many aspects of medicine and health care.1 Their value is especially clear when the results of the studies they include show clinically important effects of similar magnitude. However, the conclusions are less clear when the included studies have differing results. In an attempt to establish whether studies are consistent, reports of meta-analyses commonly present a statistical test of heterogeneity. The test seeks to determine whether there are genuine differences underlying the results of the studies (heterogeneity), or whether the variation in findings is compatible with chance alone (homogeneity). However, the test is susceptible to the number of trials included in the meta-analysis. We have developed a new quantity, I 2, which we believe gives a better measure of the consistency between trials in a meta-analysis. Assessment of the consistency of effects across studies is an essential part of meta-analysis. Unless we know how consistent the results of studies are, we cannot determine the generalisability of the findings of the meta-analysis. Indeed, several hierarchical systems for grading evidence state that the results of studies must be consistent or homogeneous to obtain the highest grading.2–4 Tests for heterogeneity are commonly used to decide on methods for combining studies and for concluding consistency or inconsistency of findings.5 6 But what does the test achieve in practice, and how should the resulting P values be interpreted? A test for heterogeneity examines the null hypothesis that all studies are evaluating the same effect. The usual test statistic …
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Objective: Investigating a large and ethnically diverse cohort from the Pacific region, we aimed to replicate and extend the recently reported findings that a CREBRF genetic variant is strongly associated with body mass index in Samoans. Methods: A birth cohort of more than six thousand children was utilised. In this study, genotyping of two markers (rs12513649 and rs37386328) was undertaken in Māori, Pacific, European and Asian individuals in the cohort. Results: We report that these CREBRF genetic variants are not confined to Samoans but are prevalent in all other Pacific populations sampled, including Māori. We found that the rs37386328 variant was significantly associated with growth at four years of age. On average, we observed allele-specific increases in weight (P=0·004, +455 g, s.e. 0.158), height (P=0·007, +0·70 cm, s.e. 0.26) and waist circumference (P=0·004, +0·70 cm, s.e. 0.24) at four years of age. The rs37386328 variant was not associated with birthweight (P=0·129). Conclusion: We replicated the finding that a CREBRF variant is associated with increased body mass. We then built on the original findings by demonstrating the prevalence of the rs12513649 and rs37386328 variants in multiple Pacific population groups and by demonstrating that the rs37386328 variant is associated with growth in early childhood. Pacific population groups experience a disproportionately high burden of obesity, starting in early childhood. This new knowledge offers potential for evidence-based interventions aimed at establishing healthy growth trajectories from the earliest possible age.International Journal of Obesity accepted article preview online, 20 September 2017. doi:10.1038/ijo.2017.230.
Article
It has been suggested that a 'thrifty' genotype hypothesis can account for high prevalence of obesity in the island populations of Oceania. A recent genome-wide association study revealed that a missense variant, rs373863828-A (p.Arg457Gln), of the CREBRF gene (encoding CREB3 regulatory factor) was associated with an excessive increase in body mass index (BMI) in Samoans. In the present study, the association of rs373863828-A with an increase in BMI was examined in four Austronesian (AN)-speaking populations in Oceania. We found that rs373863828-A was frequently observed (frequency of 0.15) in Tongans (Polynesians), and was strongly associated with higher BMI (P=6.1 × 10(-4)). A single copy of the rs373863828-A allele increased BMI by 3.09 kg m(-2) after adjustment of age and sex. No significant association was detected in the other three AN-speaking populations (Melanesians and Micronesians) living in Solomon Islands. This was probably due to the low allele frequency (0.02-0.06) of rs373863828-A as well as small sample size. The rs373863828-A allele was not found in both AN-speaking and non-AN-speaking Melanesians living in Papua New Guinea. Our results suggest that rs373863828-A of CREBRF, a promising thrifty variant, arose in recent ancestors of AN-speaking Polynesians.Journal of Human Genetics advance online publication, 13 April 2017; doi:10.1038/jhg.2017.44.
Article
Identifying functionally relevant variants against the background of ubiquitous genetic variation is a major challenge in human genetics. For variants in protein-coding regions, our understanding of the genetic code and splicing allows us to identify likely candidates, but interpreting variants outside genic regions is more difficult. Here we present genome-wide annotation of variants (GWAVA), a tool that supports prioritization of noncoding variants by integrating various genomic and epigenomic annotations.
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The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees beta-cell deficiency and insulin resistance. Comparison of a patient's fasting values with the model's predictions allows a quantitative assessment of the contributions of insulin resistance and deficient beta-cell function to the fasting hyperglycaemia (homeostasis model assessment, HOMA). The accuracy and precision of the estimate have been determined by comparison with independent measures of insulin resistance and beta-cell function using hyperglycaemic and euglycaemic clamps and an intravenous glucose tolerance test. The estimate of insulin resistance obtained by homeostasis model assessment correlated with estimates obtained by use of the euglycaemic clamp (Rs = 0.88, p less than 0.0001), the fasting insulin concentration (Rs = 0.81, p less than 0.0001), and the hyperglycaemic clamp, (Rs = 0.69, p less than 0.01). There was no correlation with any aspect of insulin-receptor binding. The estimate of deficient beta-cell function obtained by homeostasis model assessment correlated with that derived using the hyperglycaemic clamp (Rs = 0.61, p less than 0.01) and with the estimate from the intravenous glucose tolerance test (Rs = 0.64, p less than 0.05). The low precision of the estimates from the model (coefficients of variation: 31% for insulin resistance and 32% for beta-cell deficit) limits its use, but the correlation of the model's estimates with patient data accords with the hypothesis that basal glucose and insulin interactions are largely determined by a simple feed back loop.
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In the study of complex disease, separating causal from confounded factors is a challenge for genetic epidemiologists. One tool useful for separating these factors is Genomic Control (GC). In this communication we clarify how and when to use GC. We also describe a refined approach to GC, which should be used when GC is applied to extreme settings.
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The Family Investigation of Nephropathy and Diabetes (FIND) is a multicenter study designed to identify genetic determinants of diabetic nephropathy. It is conducted in eight U.S. clinical centers and a coordinating center, and with four ethnic groups (European Americans, African Americans, Mexican Americans, and American Indians). Two strategies are used to localize susceptibility genes: a family-based linkage study and a case-control study using mapping by admixture linkage disequilibrium (MALD). In the family-based study, probands with diabetic nephropathy are recruited with their parents and selected siblings. Linkage analyses will be conducted to identify chromosomal regions containing genes that influence the development of diabetic nephropathy or related quantitative traits such as serum creatinine concentration, urinary albumin excretion, and plasma glucose concentrations. Regions showing evidence of linkage will be examined further with both genetic linkage and association studies to identify genes that influence diabetic nephropathy or related traits. Two types of MALD studies are being done. One is a case-control study of unrelated individuals of Mexican American heritage in which both cases and controls have diabetes, but only the case has nephropathy. The other is a case-control study of African American patients with nephropathy (cases) and their spouses (controls) unaffected by diabetes and nephropathy; offspring are genotyped when available to provide haplotype data. Identification of genes that influence susceptibility to diabetic nephropathy will lead to a better understanding of how nephropathy develops. This should eventually lead to improved treatment and prevention.
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Whole-genome association studies present many new statistical and computational challenges due to the large quantity of data obtained. One of these challenges is haplotype inference; methods for haplotype inference designed for small data sets from candidate-gene studies do not scale well to the large number of individuals genotyped in whole-genome association studies. We present a new method and software for inference of haplotype phase and missing data that can accurately phase data from whole-genome association studies, and we present the first comparison of haplotype-inference methods for real and simulated data sets with thousands of genotyped individuals. We find that our method outperforms existing methods in terms of both speed and accuracy for large data sets with thousands of individuals and densely spaced genetic markers, and we use our method to phase a real data set of 3,002 individuals genotyped for 490,032 markers in 3.1 days of computing time, with 99% of masked alleles imputed correctly. Our method is implemented in the Beagle software package, which is freely available.
The Family Investigation of Nephropathy and Diabetes (FIND): design and methods
  • W C Knowler
  • J Coresh
  • R C Elston
  • WC Knowler
Widespread prevalence of a CREBRF variant amongst Maori and Pacific children is associated with weight and height in early childhood
  • S D Berry
  • C G Walker
  • K Ly
  • SD Berry