Dataset Information

Melanocortin 4 Receptor Gene Sequence Analyses in Diverse Populations.

ABSTRACT: Background: Melanocortin 4 receptor (MC4R) is a G-protein-coupled receptor involved in appetite regulation. Mutations in the MC4R gene are the most common cause of monogenic obesity. More than 200 sequence variants in the MC4R gene have been associated with obesity, although the vast majority of these data have been obtained from populations of European ancestry. The prevalence and mutation profile of MC4R is thus poorly characterized in other ancestries/ethnicities. Materials and Methods: We surveyed the allele frequencies of the MC4R variants of multiple racial/ethnic populations represented in the Genome Aggregation Database (gnomAD) and sequenced the MC4R gene in a diverse population of 60 individuals with extreme obesity. Results: Allele frequencies were similar for most classes of variants except for a higher rate of synonymous substitutions in the African gnomAD population. We also identified two apparently novel MC4R variants and two variants with much higher allele frequencies in African populations whose functional impacts are not yet known. Conclusion: These results highlight the need for characterizing MC4R variants in diverse populations with extreme obesity.

SUBMITTER: Edwards MA

PROVIDER: S-EPMC6922060 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Melanocortin 4 Receptor Gene Sequence Analyses in Diverse Populations.

Edwards Michael A MA Tattoli Tiffany T Sureja Gagan G Sykes Aaron A Kaniper Scott S Gerhard Glenn S GS

Genetic testing and molecular biomarkers 20191119 12

Background: Melanocortin 4 receptor (MC4R) is a G-protein-coupled receptor involved in appetite regulation. Mutations in the MC4R gene are the most common cause of monogenic obesity. More than 200 sequence variants in the MC4R gene have been associated with obesity, although the vast majority of these data have been obtained from populations of European ancestry. The prevalence and mutation profile of MC4R is thus poorly characterized in other ancestries ...[more]

PMID: 31742438

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Project description:Genome-wide association studies (GWAS) have laid the foundation for investigations into the biology of complex traits, drug development and clinical guidelines. However, the majority of discovery efforts are based on data from populations of European ancestry1-3. In light of the differential genetic architecture that is known to exist between populations, bias in representation can exacerbate existing disease and healthcare disparities. Critical variants may be missed if they have a low frequency or are completely absent in European populations, especially as the field shifts its attention towards rare variants, which are more likely to be population-specific4-10. Additionally, effect sizes and their derived risk prediction scores derived in one population may not accurately extrapolate to other populations11,12. Here we demonstrate the value of diverse, multi-ethnic participants in large-scale genomic studies. The Population Architecture using Genomics and Epidemiology (PAGE) study conducted a GWAS of 26 clinical and behavioural phenotypes in 49,839 non-European individuals. Using strategies tailored for analysis of multi-ethnic and admixed populations, we describe a framework for analysing diverse populations, identify 27 novel loci and 38 secondary signals at known loci, as well as replicate 1,444 GWAS catalogue associations across these traits. Our data show evidence of effect-size heterogeneity across ancestries for published GWAS associations, substantial benefits for fine-mapping using diverse cohorts and insights into clinical implications. In the United States-where minority populations have a disproportionately higher burden of chronic conditions13-the lack of representation of diverse populations in genetic research will result in inequitable access to precision medicine for those with the highest burden of disease. We strongly advocate for continued, large genome-wide efforts in diverse populations to maximize genetic discovery and reduce health disparities.

Project description:BACKGROUND: Independent genome-wide association studies (GWAS) showed an obesogenic effect of two single nucleotide polymorphisms (SNP; rs12970134 and rs17782313) more than 150 kb downstream of the melanocortin 4 receptor gene (MC4R). It is unclear if the SNPs directly influence MC4R function or expression, or if the SNPs are on a haplotype that predisposes to obesity or includes functionally relevant genetic variation (synthetic association). As both exist, functionally relevant mutations and polymorphisms in the MC4R coding region and a robust association downstream of the gene, MC4R is an ideal model to explore synthetic association. METHODOLOGY/PRINCIPAL FINDINGS: We analyzed a genomic region (364.9 kb) encompassing the MC4R in GWAS data of 424 obesity trios (extremely obese child/adolescent and both parents). SNP rs12970134 showed the lowest p-value (p = 0.004; relative risk for the obesity effect allele: 1.37); conditional analyses on this SNP revealed that 7 of 78 analyzed SNPs provided independent signals (p?0.05). These 8 SNPs were used to derive two-marker haplotypes. The three best (according to p-value) haplotype combinations were chosen for confirmation in 363 independent obesity trios. The confirmed obesity effect haplotype includes SNPs 3' and 5' of the MC4R. Including MC4R coding variants in a joint model had almost no impact on the effect size estimators expected under synthetic association. CONCLUSIONS/SIGNIFICANCE: A haplotype reaching from a region 5' of the MC4R to a region at least 150 kb from the 3' end of the gene showed a stronger association to obesity than single SNPs. Synthetic association analyses revealed that MC4R coding variants had almost no impact on the association signal. Carriers of the haplotype should be enriched for relevant mutations outside the MC4R coding region and could thus be used for re-sequencing approaches. Our data also underscore the problems underlying the identification of relevant mutations depicted by GWAS derived SNPs.

Dataset Information

Melanocortin 4 Receptor Gene Sequence Analyses in Diverse Populations.

Publications

Melanocortin 4 Receptor Gene Sequence Analyses in Diverse Populations.

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