Three Loci Affecting Variance of Body Mass Index in African Americans and Sub‐Saharan Africans

Conventional genome-wide association studies (GWAS) are designed to assess the effect of a genetic locus on phenotypic mean by genotype. Such loci explain a proportion of phenotypic variance known as narrow-sense heritability. In contrast, variance quantitative trait loci (vQTL) are associated with the phenotypic variance by genotype. These loci explain an additional proportion of phenotypic variance and contribute to broad-sense heritability but not to narrow-sense heritability. Here, a genome-wide vQTL analysis in 22,805 African Americans yielded eight loci for body mass index (BMI). Of these loci, three were replicated in 6002 sub-Saharan Africans. No locus reached genome-wide significance using the standard additive model. Furthermore, no locus showed evidence for natural selection, haplotype effects, or gene × sex or gene × study interactions. Two loci showed evidence for an effect of locus-specific ancestry resulting from admixture and for a gene × gene interaction. One locus showed evidence for interaction with diastolic blood pressure, consistent with this vQTL capturing an unmodeled gene × covariate interaction. These analyses demonstrate that relevant BMI loci can be detected by evaluating vQTL and that these loci contribute to the underexplored broad-sense heritability for this trait.

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Journal
Genetic Epidemiology
Published
2025-05-05
DOI
https://doi.org/10.1002/gepi.70009
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Three Loci Affecting Variance of Body Mass Index in African Americans and Sub‐Saharan Africans

Amy R. Bentley, Daniel Shriner, Adebowale Adeyemo, Charles N. Rotimi et al.
Genetic Epidemiology
Genetic Associations and Epidemiology
article

Three Loci Affecting Variance of Body Mass Index in African Americans and Sub‐Saharan Africans

Amy R. Bentley, Daniel Shriner, Adebowale Adeyemo, Charles N. Rotimi, Guanjie Chen, Ayo P. Doumatey, Jie Zhou
article en

Abstract

Conventional genome-wide association studies (GWAS) are designed to assess the effect of a genetic locus on phenotypic mean by genotype. Such loci explain a proportion of phenotypic variance known as narrow-sense heritability. In contrast, variance quantitative trait loci (vQTL) are associated with the phenotypic variance by genotype. These loci explain an additional proportion of phenotypic variance and contribute to broad-sense heritability but not to narrow-sense heritability. Here, a genome-wide vQTL analysis in 22,805 African Americans yielded eight loci for body mass index (BMI). Of these loci, three were replicated in 6002 sub-Saharan Africans. No locus reached genome-wide significance using the standard additive model. Furthermore, no locus showed evidence for natural selection, haplotype effects, or gene × sex or gene × study interactions. Two loci showed evidence for an effect of locus-specific ancestry resulting from admixture and for a gene × gene interaction. One locus showed evidence for interaction with diastolic blood pressure, consistent with this vQTL capturing an unmodeled gene × covariate interaction. These analyses demonstrate that relevant BMI loci can be detected by evaluating vQTL and that these loci contribute to the underexplored broad-sense heritability for this trait.

Genetic EpidemiologyVol. 49(4)
National Human Genome Research Institute (US)
U.S. Department of Health and Human Services, W. M. Keck Foundation, Jackson State University, University of Washington, Broad Institute, Mississippi State Department of Health, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Institute on Drug Abuse, National Human Genome Research Institute, NIH Office of the Director, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke, Center for Information Technology, National Institute on Minority Health and Health Disparities, Common Fund
Openalex Percentile: Top 89%
Genetic Associations and Epidemiology
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