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ABSTRACT: BACKGROUND: Common variants in the CHRNA5-A3-B4 gene cluster have been shown to be associated with nicotine dependence and alcohol use disorders (AUDs) and related traits, including the level of response (LR) to alcohol. Recently, rare variants (MAF < 0.05) in CHRNB4 have been reported to be associated with a decreased risk of developing nicotine dependence. However, the role of rare variants in the CHRNA5-A3-B4 gene cluster to the LR to alcohol has not yet been established. METHODS: To determine whether rare variants in the CHRNA5-A3-B4 gene cluster contribute to the LR to alcohol, the coding regions of these 3 genes were sequenced in 538 subjects from the San Diego Sibling Pair study. RESULTS: The analyses identified 16 rare missense variants, 9 of which were predicted to be damaging using in silico analysis tools. Carriers of these variants were compared to noncarriers using a family-based design for each gene and for the gene cluster as a whole. In these analyses, a CHRNA5 carrier status was significantly associated with the phenotype related to the feeling of intoxication experienced during the alcohol challenge (p = 0.039). CONCLUSIONS: These results indicate that rare genetic variation in the CHRNA5-A3-B4 gene cluster contributes modestly to the LR to alcohol in the San Diego Sibling Pair study and may protect against AUDs. However, replication studies are needed to confirm our findings.
Alcoholism Clinical and Experimental Research 03/2013; · 3.34 Impact Factor
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ABSTRACT: Common variants (notably rs6232 and rs6235) have been shown to be associated with obesity in European, Asian and Mexican populations. To determine whether common variants contribute to obesity in American population, we conducted association analyses in 8,359 subjects using two multi-ethnic American studies: the Coronary Artery Risk Development in Young Adults (CARDIA) study and the Multi-Ethnic Study of Atherosclerosis (MESA). By evaluating the contribution of rs6232 and rs6235 in each ethnic group, we found that in European-American subjects from CARDIA, only rs6232 was associated with BMI ( = 0.006) and obesity ( = 0.018) but also increased the obesity incidence during the 20 years of follow-up (HR = 1.53 [1.07-2.19], = 0.019). Alternatively, in African-American subjects from CARDIA, rs6235 was associated with BMI ( = 0.028) and obesity ( = 0.018). Further, by combining the two case-control ethnic groups from the CARDIA study in a meta-analysis, association between rs6235 and obesity risk remained significant (OR = 1.23 [1.05-1.45], = 9.5×10). However, neither rs6232 nor rs6235 was associated with BMI or obesity in the MESA study. Interestingly, rs6232 was associated with BMI ( = 4.2×10) and obesity ( = 3.4×10) in the younger European-American group combining samples from the both studies [less than median age (53 years)], but not among the older age group ( = 0.756 and = 0.935 for BMI and obesity, respectively). By combining all the case-control ethnic groups from CARDIA and MESA in a meta-analysis, we found no significant association for the both variants and obesity risk. Finally, by exploring the full locus, we observed that no variant remained significant after correction for multiple testing. These results indicate that common variants (notably rs6232 and rs6235) contribute modestly to obesity in multi-ethnic American population. Further, these results suggest that the association of rs6232 with obesity may be age-dependent in European-Americans. However, multiple replication studies in multi-ethnic American population are needed to confirm our findings.
PLoS ONE 01/2013; 8(2):e57857. · 4.09 Impact Factor
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ABSTRACT: Identity by descent (IBD) has played a fundamental role in the discovery of genetic loci underlying human diseases. Both pedigree-based and population-based linkage analyses rely on estimating recent IBD, and evidence of ancient IBD can be used to detect population structure in genetic association studies. Various methods for detecting IBD, including those implemented in the soft- ware programs fastIBD and GERMLINE, have been developed in the past several years using population genotype data from microarray platforms. Now, next-generation DNA sequencing data is becoming increasingly available, enabling the comprehensive analysis of genomes, in- cluding identifying rare variants. These sequencing data may provide an opportunity to detect IBD with higher resolution than previously possible, potentially enabling the detection of disease causing loci that were previously undetectable with sparser genetic data.
Here, we investigate how different levels of variant coverage in sequencing and microarray genotype data influences the resolution at which IBD can be detected. This includes microarray genotype data from the WTCCC study, denser genotype data from the HapMap Project, low coverage sequencing data from the 1000 Genomes Project, and deep coverage complete genome data from our own projects. With high power (78%), we can detect segments of length 0.4 cM or larger using fastIBD and GERMLINE in sequencing data. This compares to similar power to detect segments of length 1.0 cM or higher with microarray genotype data. We find that GERMLINE has slightly higher power than fastIBD for detecting IBD segments using sequencing data, but also has a much higher false positive rate.
We further quantify the effect of variant density, conditional on genetic map length, on the power to resolve IBD segments. These investigations into IBD resolution may help guide the design of future next generation sequencing studies that utilize IBD, including family-based association studies, association studies in admixed populations, and homozygosity mapping studies.
BMC Bioinformatics 06/2012; 13:121. · 2.75 Impact Factor
