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. 2017 Apr;25(4):794-800.
doi: 10.1002/oby.21804. Epub 2017 Mar 13.

Genome-wide analysis identifies an african-specific variant in SEMA4D associated with body mass index

Affiliations

Genome-wide analysis identifies an african-specific variant in SEMA4D associated with body mass index

Guanjie Chen et al. Obesity (Silver Spring). 2017 Apr.

Abstract

Objective: The prevalence of obesity varies between ethnic groups. No genome-wide association study (GWAS) for body mass index (BMI) has been conducted in continental Africans.

Methods: We performed a GWAS for BMI in 1,570 West Africans (WA). Replication was conducted in independent samples of WA (n = 1,411) and African Americans (AA) (n = 9,020).

Results: We identified a novel genome-wide significant African-specific locus for BMI (SEMA4D, rs80068415; minor allele frequency = 0.008, P = 2.10 × 10-8 ). This finding was replicated in independent samples of WA (P = 0.013) and AA (P = 0.017). Individuals with obesity had higher serum SEMA4D levels compared to those without obesity (P < 0.0001), and elevated levels of serum SEMA4D were associated with increased obesity risk (OR = 4.2, P < 1 × 10-4 ). The prevalence of obesity was higher in individuals with the CT versus TT genotypes (55.6% vs. 22.9%).

Conclusions: A novel variant in SEMA4D was significantly associated with BMI. Carriers of the C allele were 4.6 BMI units heavier than carriers of the T allele (P = 0.0007). This variant is monomorphic in Europeans and Asians, highlighting the importance of studying diverse populations. While there is evidence for the involvement of SEMA4D in inflammatory processes, this study is the first to implicate SEMA4D in obesity pathophysiology.

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Figures

Figure 1
Figure 1
Genome-wide association results. The –log10(p-value) of associations are presented on the y-axis. The x-axis represents loci positions (bp). The dashed lines represent –log10 (2.5×10-8), and -log10(2.5×10-7), for genome-wide and suggestive statistical significance levels, respectively.
Figure 2
Figure 2
SEMA4D regional plot. The x-axis represents positions (Mb), and the y-axis represents –log10(p-values). Recombination rate and r2 scores were calculated from AFR samples in the 1000 Genomes Project (phase1, V3).
Figure 3
Figure 3. Relationships between sSema4D levels, obesity, and rs80068415
(A)Mean and standard deviation of serum Sema4D levels (ng/ml) in obese and non-obese, by gender, with p-values < 0.0001 in males, females, and combined. (B) Mean and standard deviation of BMI (kg/m2) by alleles of rs80068415 (p-value = 0.0007)

References

    1. Cefalu WT, Bray GA, Home PD, Garvey WT, Klein S, Pi-Sunyer FX, et al. Advances in the Science, Treatment, and Prevention of the Disease of Obesity: Reflections From a Diabetes Care Editors' Expert Forum. Diabetes Care. 2015;38:1567–1582. - PMC - PubMed
    1. Maes HH, Neale MC, Eaves LJ. Genetic and environmental factors in relative body weight and human adiposity. Behav Genet. 1997;27:325–351. - PubMed
    1. Welter D, MacArthur J, Morales J, Burdett T, Hall P, Junkins H, et al. The NHGRI GWAS Catalog, a curated resource of SNP-trait associations. Nucleic Acids Res. 2014;42:D1001–1006. - PMC - PubMed
    1. Chen G, Adeyemo AA, Johnson T, Zhou J, Amoah A, Owusu S, et al. A genome-wide scan for quantitative trait loci linked to obesity phenotypes among West Africans. Int J Obes (Lond) 2005;29:255–259. - PubMed
    1. Rosenberg NA, Huang L, Jewett EM, Szpiech ZA, Jankovic I, Boehnke M. Genome-wide association studies in diverse populations. Nat Rev Genet. 2010;11:356–366. - PMC - PubMed

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