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Liu, C.-T.* ; Buchkovich, M.L.* ; Winkler, T.W.* ; Heid, I.M. ; African Ancestry Anthropometry Genetics Consortium (*) ; GIANT Consortium (Albrecht, E. ; Gieger, C. ; Grallert, H. ; Illig, T. ; Müller-Nurasyid, M. ; Peters, A. ; Thorand, B. ; Wichmann, H.-E.) ; Borecki, I.B.* ; Fox, C.S.* ; Mohlke, K.L.* ; North, K.E.* ; Cupples, L.A.*

Multi-ethnic fine-mapping of 14 central adiposity loci.

Hum. Mol. Genet. 23, 4738-4744 (2014)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
The Genetic Investigation of Anthropometric Traits (GIANT) consortium identified 14 loci in European Ancestry (EA) individuals associated with waist-to-hip ratio (WHR) adjusted for body mass index. These loci are wide and narrowingthe signalsremains necessary. Twelve of 14 loci identified inGIANTEA samples retained strong associations with WHR in our joint EA/individuals of African Ancestry (AA) analysis (log-Bayes factor >6.1). Transethnic analysesatfiveloci (TBX15-WARS2, LYPLAL1, ADAMTS9, LY86andITPR2-SSPN)substantially narrowed the signals to smaller sets of variants, some of which are in regions that have evidence of regulatory activity. By leveraging varying linkage disequilibrium structures across different populations, single-nucleotide polymorphisms (SNPs) with strong signals and narrower credible sets from trans-ethnic meta-analysis of central obesity provide more precise localizations of potential functional variants and suggest a possible regulatory role. Meta-analysis results for WHR were obtained from 77 167 EA participants from GIANT and 23 564 AA participants from the AfricanAncestry Anthropometry Genetics Consortium. For fine mapping we interrogatedSNPs within ±250 kbflanking regionsof 14 previously reported indexSNPsfrom loci discovered in EApopulations by performing trans-ethnic meta-analysis of results from the EA and AA meta-analyses. We applied a Bayesian approach that leverages allelic heterogeneity across populations to combine meta-analysis results and aids in fine-mapping shared variants at these locations. We annotated variants using information from the ENCODE Consortium and Roadmap Epigenomics Project to prioritize variants for possible functionality.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Genome-wide Association; Waist-hip Ratio; Transethnic Metaanalysis; Fat Distribution; Populations; Women; Risk
ISSN (print) / ISBN 0964-6906
e-ISSN 1460-2083
Journal Human Molecular Genetics
Quellenangaben Volume: 23, Issue: 17, Pages: 4738-4744 Article Number: , Supplement: ,
Publisher Oxford University Press
Publishing Place Oxford
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Genetic Epidemiology (IGE)
Institute of Epidemiology II (EPI2)
Institute of Epidemiology (EPI)