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GWAS Study

Genome-wide association of anthropometric traits in African- and African-derived populations.

Kang SJ, Chiang CW, Palmer CD et al.

20400458 PubMed ID
GWAS Study Type
6106 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

KS
Kang SJ
CC
Chiang CW
PC
Palmer CD
TB
Tayo BO
LG
Lettre G
BJ
Butler JL
HR
Hackett R
AA
Adeyemo AA
GC
Guiducci C
BI
Berzins I
NT
Nguyen TT
FT
Feng T
LA
Luke A
SD
Shriner D
AK
Ardlie K
RC
Rotimi C
WR
Wilks R
FT
Forrester T
MC
McKenzie CA
LH
Lyon HN
CR
Cooper RS
ZX
Zhu X
HJ
Hirschhorn JN
Chapter II

Abstract

Summary of the research findings

Genome-wide association (GWA) studies have identified common variants that are associated with a variety of traits and diseases, but most studies have been performed in European-derived populations. Here, we describe the first genome-wide analyses of imputed genotype and copy number variants (CNVs) for anthropometric measures in African-derived populations: 1188 Nigerians from Igbo-Ora and Ibadan, Nigeria, and 743 African-Americans from Maywood, IL. To improve the reach of our study, we used imputation to estimate genotypes at approximately 2.1 million single-nucleotide polymorphisms (SNPs) and also tested CNVs for association. No SNPs or common CNVs reached a genome-wide significance level for association with height or body mass index (BMI), and the best signals from a meta-analysis of the two cohorts did not replicate in approximately 3700 African-Americans and Jamaicans. However, several loci previously confirmed in European populations showed evidence of replication in our GWA panel of African-derived populations, including variants near IHH and DLEU7 for height and MC4R for BMI. Analysis of global burden of rare CNVs suggested that lean individuals possess greater total burden of CNVs, but this finding was not supported in an independent European population. Our results suggest that there are not multiple loci with strong effects on anthropometric traits in African-derived populations and that sample sizes comparable to those needed in European GWA studies will be required to identify replicable associations. Meta-analysis of this data set with additional studies in African-ancestry populations will be helpful to improve power to detect novel associations.

743 African American individuals, 1,188 Nigerian ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

6106
Total Participants
GWAS
Study Type
Yes
Replicated
704 African American individuals from 306 families, 3,471 African American and Afro-Caribbean individuals
Replication Participants
African American or Afro-Caribbean, Sub-Saharan African
Ancestry
U.S., Jamaica, Nigeria, Niger
Recruitment Country
Chapter IV

AI-Generated Summary

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