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. 2021 Jan;45(1):155-169.
doi: 10.1038/s41366-020-00675-4. Epub 2020 Sep 20.

Evaluation of the MC4R gene across eMERGE network identifies many unreported obesity-associated variants

Affiliations

Evaluation of the MC4R gene across eMERGE network identifies many unreported obesity-associated variants

Bahram Namjou et al. Int J Obes (Lond). 2021 Jan.

Abstract

Background/objectives: Melanocortin-4 receptor (MC4R) plays an essential role in food intake and energy homeostasis. More than 170 MC4R variants have been described over the past two decades, with conflicting reports regarding the prevalence and phenotypic effects of these variants in diverse cohorts. To determine the frequency of MC4R variants in large cohort of different ancestries, we evaluated the MC4R coding region for 20,537 eMERGE participants with sequencing data plus additional 77,454 independent individuals with genome-wide genotyping data at this locus.

Subjects/methods: The sequencing data were obtained from the eMERGE phase III study, in which multisample variant call format calls have been generated, curated, and annotated. In addition to penetrance estimation using body mass index (BMI) as a binary outcome, GWAS and PheWAS were performed using median BMI in linear regression analyses. All results were adjusted for principal components, age, sex, and sites of genotyping.

Results: Targeted sequencing data of MC4R revealed 125 coding variants in 1839 eMERGE participants including 30 unreported coding variants that were predicted to be functionally damaging. Highly penetrant unreported variants included (L325I, E308K, D298N, S270F, F261L, T248A, D111V, and Y80F) in which seven participants had obesity class III defined as BMI ≥ 40 kg/m2. In GWAS analysis, in addition to known risk haplotype upstream of MC4R (best variant rs6567160 (P = 5.36 × 10-25, Beta = 0.37), a novel rare haplotype was detected which was protective against obesity and encompassed the V103I variant with known gain-of-function properties (P = 6.23 × 10-08, Beta = -0.62). PheWAS analyses extended this protective effect of V103I to type 2 diabetes, diabetic nephropathy, and chronic renal failure independent of BMI.

Conclusions: MC4R screening in a large eMERGE cohort confirmed many previous findings, extend the MC4R pleotropic effects, and discovered additional MC4R rare alleles that probably contribute to obesity.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
ae LocusZoom plot of the association signals in MC4R regions for BMI with confirmation of effect at upstream of MC4R as well as identification of a novel haplotype at MC4R. Best variant rs6567160 (P = 5.36 × 10−25, Beta = 0.37). a GWAS effect in Europeans. b GWAS effect in African Americans (AA). c GWAS effect in Asians. d GWAS effect in Hispanic ethnicity. e GWAS signal for all ancestries. Estimated recombination rates (from HapMap) are plotted in cyan to reflect the local LD structure. The variants surrounding the most significant variant are color-coded to reflect their LD with the index variant (taken from pairwise r2 values from the HapMap database per ancestry, www.hapmap.org). Regional plots were generated using LocusZoom (http://csg.sph.umich.edu/locuszoom).

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