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Article: Association among obesity-related anthropometric phenotypes: analyzing genetic and environmental contribution.
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ABSTRACT: Obesity has become a public-health and policy problem in many parts of the world. Epidemiological and population studies in this field are usually based on different anthropometric measures; however, common genetic and environmental factors between these phenotypes have been scarcely studied. The objective of this article is to assess the strength of these factors on the covariation among a large set of obesity-related traits. The subject group consisted of 533 nuclear families living in the Greater Bilbao (Spain), and included 1,702 individuals aged 2-61 years. Detailed anthropometric measurements (stature, breadths, circumferences and skinfolds) were carried out in each subject. Bivariate quantitative genetic analyses were performed using a variance-components procedure implemented in the software SOLAR. The results revealed that the majority of these traits is affected by common genetic and environmental factors. All correlations were significantly different from 1 and varied from non-significant to very high (>0.90, P < 0.0001), with clearly lower pleiotropic effects among pairs including fat-distribution traits. Despite the strong common genetic effects detected among phenotypes determining the amount of body fat and mass, there is a residual genetic influence on the local fatness measures that cannot be explained exclusively by the genetic influence on overall fatness. Moreover, the observed relationships confirm a partially different genetic control of truncal and peripheral fat. In conclusion, our findings highlight the relevance of considering different types of traits in the prevention and treatment of obesity, as well as in the search for genes involved in its development.Human Biology 04/2012; 84(2):127-37. · 1.31 Impact Factor -
Article: Heritability and genetic correlations of obesity-related phenotypes among Roma people.
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ABSTRACT: The Roma people are particularly vulnerable to developing obesity and related diseases, due to their social and ethnic backgrounds. However, little is known about the genetic and/or environmental factors affecting the variability of obesity-related traits among the Roma population. The aim of the present study was to estimate heritabilities and common genetic and environmental influences of obesity-related phenotypes in a sample of Roma people living in the Greater Bilbao region (Basque Country; Spain). Three hundred and seventy-two individuals from 50 large, extended and highly consanguineous pedigrees were phenotyped for anthropometric traits related to obesity. Heritability estimates were assessed for all quantitative traits and bivariate analyses were conducted to assess the phenotypic, genetic and environmental correlations among these traits. Significant heritable components (p<0.01) ranging from 0.25-0.68 exist for the studied phenotypes. Heritability for WHR (h(2) =0.60) considerably surpasses the usual heritability estimates on family-based studies ( <0.30). Measures of overall fatness (BMI, CF and SF) show stronger correlations with each other than body fat distribution traits (WHR, CI and TER). The study concluded that the Greater Bilbao Roma population is genetically predisposed to abdominal fat distribution. Variation in body mass is highly associated with variation in adiposity. However, overall fatness and adiposity distribution does not seem to share major common genetic factors, although common environmental factors operate between them.Annals of Human Biology 03/2012; 39(3):183-9. · 1.98 Impact Factor -
Article: Genetic and environmental influences on growth from late childhood to adulthood: a longitudinal study of two Finnish twin cohorts.
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ABSTRACT: Human growth is a complex process that remains insufficiently understood. We aimed to analyze genetic and environmental influences on growth from late childhood to early adulthood. Two cohorts of monozygotic and dizygotic (same sex and opposite sex) Finnish twin pairs were studied longitudinally using self-reported height at 11-12, 14, and 17 years and adult age (FinnTwin12) and at 16, 17, and 18 years and adult age (FinnTwin16). Univariate and multivariate variance component models for twin data were used. From childhood to adulthood, genetic differences explained 72-81% of the variation of height in boys and 65-86% in girls. Environmental factors common to co-twins explained 5-23% of the variation of height, with the residual variation explained by environmental factors unique to each twin individual. Common environmental factors affecting height were highly correlated between the analyzed ages (0.72-0.99 and 0.91-1.00 for boys and girls, respectively). Genetic (0.58-0.99 and 0.70-0.99, respectively) and unique environmental factors (0.32-0.78 and 0.54-0.82, respectively) affecting height at different ages were more weakly, but still substantially, correlated. The genetic contribution to height is strong during adolescence. The high genetic correlations detected across the ages encourage further efforts to identify genes affecting growth. Common and unique environmental factors affecting height during adolescence are also important, and further studies are necessary to identify their nature and test whether they interact with genetic factors.American Journal of Human Biology 09/2011; 23(6):764-73. · 2.27 Impact Factor -
Article: Quantitative genetics of human morphology and obesity-related phenotypes in nuclear families from the Greater Bilbao (Spain): comparison with other populations.
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ABSTRACT: It is well established that variation of soft-tissue traits is less influenced by the genetic component than skeletal traits. However, it is still unclear whether heritabilities (h(2)) of obesity-related phenotypes present a common pattern across populations. To estimate familial resemblance and heritability of body size, shape and composition phenotypes and to compare these results with those from other populations. The subject group consisted of 533 nuclear families living in Greater Bilbao and included 1702 individuals aged 2-61 years. Familial correlations and h(2) were estimated for 29 anthropometric phenotypes (19 simple measures, three derived factors, four obesity indices and the three Heath-Carter somatotype components) using MAN and SOLAR programmes. All phenotypes were influenced by additive genetic factors with narrow sense heritabilities ranging from 0.28-0.69. In general, skeletal traits exhibited the highest h(2), whereas phenotypes defining the amount of adipose tissue, particularly central fat, were less determined by genetic factors. Familial correlations and heritability estimates of body morphology and composition from the Greater Bilbao sample were within the range observed in other studies. The lower heritability detected for central fat has also been found in some other populations, but further investigations in different populations using the same anthropometric traits and estimation methods are needed in order to obtain more robust conclusions.Annals of Human Biology 02/2011; 38(4):471-8. · 1.98 Impact Factor -
Article: Genetic contribution to variation in body configuration in Belgian nuclear families: a closer look at body lengths and circumferences.
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ABSTRACT: The purpose of the current study was to evaluate the contribution of genetic factors on body configuration related phenotypes. The sample consisted of 119 Belgian nuclear families including 231 males and 229 females. Factor analysis with varimax rotation was carried out to analyse 13 length and circumference measures and the resulting two synthetic traits (LF and CF; linear and circumference factors, respectively) were used as summary variables. Univariate quantitative genetic analysis indicated that variation in anthropometric as well as in synthetic traits was significantly dependent on additive genetic effects, with heritabilities ranging from 0.55 to 0.88. Narrow sense heritability estimates were higher for measurements principally characterizing skeletal mass than in variables that also involve soft-tissues. Sex, age and their interactions explained 11-67% of the total phenotypic variance. This report also examined the covariations between pairs of anthropometric and synthetic traits (length measurements and LF vs. height; circumference measures and CF vs. weight and BMI; LF vs. CF). Significant genetic correlations among all the studied traits (except for middle finger length vs. height) confirmed the influence of pleiotropy on genetic determination of these phenotypes. Bivariate analysis showed that pleiotropic effects had a great influence in determining body traits variation within body length measurements, as well as between body circumferences and weight or BMI. In relation to the two synthetic traits, even the variation of body lengths and circumferences was highly determined by genetic factors, shared genetic influences were unlikely to explain much of the observed variation between LF and CF. The results of the present study allow us to conclude that in this population body configuration related traits are subject to a strong genetic control and that shared genes also contribute to this genetic structure.Collegium antropologicum 06/2010; 34(2):515-23. · 0.61 Impact Factor
