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Horikoshi, M.* ; Mägi, R.* ; van de Bunt, M.* ; Surakka, I.* ; Sarin, A.P.* ; Mahajan, A.* ; Marullo, L.* ; Thorleifsson, G.* ; Hägg, S.* ; Hottenga, J.J.* ; Ladenvall, C.* ; Ried, J.S. ; Winkler, T.W.* ; Willems, S.M.* ; Pervjakova, N.* ; Esko, T.* ; Beekman, M.* ; Nelson, C.P.* ; Willenborg, C.* ; Wiltshire, S.* ; Ferreira, T.* ; Fernández, J.* ; Gaulton, K.J.* ; Steinthorsdottir, V.* ; Hamsten, A.* ; Magnusson, P.K.* ; Willemsen, G.* ; Milaneschi, Y.* ; Robertson, N.R.* ; Groves, C.J.* ; Bennett, A.J.* ; Lehtimäki, T.* ; Viikari, J.S.* ; Rung, J.* ; Lyssenko, V.* ; Perola, M.* ; Heid, I.M.* ; Herder, C.* ; Grallert, H. ; Müller-Nurasyid, M. ; Roden, M.* ; Hyppönen, E.* ; Isaacs, A.* ; van Leeuwen, E.M.* ; Karssen, L.C.* ; Mihailov, E.* ; Houwing-Duistermaat, J.J.* ; de Craen, A.J.* ; Deelen, J.* ; Havulinna, A.S.* ; Blades, M.* ; Hengstenberg, C.* ; Erdmann, J.* ; Schunkert, H.* ; Kaprio, J.* ; Tobin, M.D.* ; Samani, N.J.* ; Lind, L.* ; Salomaa, V.* ; Lindgren, C.M.* ; Slagboom, P.E.* ; Metspalu, A.* ; van Duijn, C.M.* ; Eriksson, J.G.* ; Peters, A. ; Gieger, C. ; Jula, A.* ; Groop, L.* ; Raitakari, O.T.* ; Power, C.* ; Penninx, B.W.* ; de Geus, E.* ; Smit, J.H.* ; Boomsma, D.I.* ; Pedersen, N.L.* ; Ingelsson, E.* ; Thorsteinsdottir, U.* ; Stefansson, K.* ; Ripatti, S.* ; Prokopenko, I.* ; McCarthy, M.I.* ; Morris, A.P.* ; ENGAGE Consortium (Döring, A. ; Nitz, B. ; Rawal, R. ; Wichmann, H.-E.)

Discovery and fine-mapping of glycaemic and obesity-related trait loci using high-density imputation.

PLoS Genet. 11:e1005230 (2015)
Publ. Version/Full Text DOI PMC
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Reference panels from the 1000 Genomes (1000G) Project Consortium provide near complete coverage of common and low-frequency genetic variation with minor allele frequency ≥0.5% across European ancestry populations. Within the European Network for Genetic and Genomic Epidemiology (ENGAGE) Consortium, we have undertaken the first large-scale meta-analysis of genome-wide association studies (GWAS), supplemented by 1000G imputation, for four quantitative glycaemic and obesity-related traits, in up to 87,048 individuals of European ancestry. We identified two loci for body mass index (BMI) at genome-wide significance, and two for fasting glucose (FG), none of which has been previously reported in larger meta-analysis efforts to combine GWAS of European ancestry. Through conditional analysis, we also detected multiple distinct signals of association mapping to established loci for waist-hip ratio adjusted for BMI (RSPO3) and FG (GCK and G6PC2). The index variant for one association signal at the G6PC2 locus is a low-frequency coding allele, H177Y, which has recently been demonstrated to have a functional role in glucose regulation. Fine-mapping analyses revealed that the non-coding variants most likely to drive association signals at established and novel loci were enriched for overlap with enhancer elements, which for FG mapped to promoter and transcription factor binding sites in pancreatic islets, in particular. Our study demonstrates that 1000G imputation and genetic fine-mapping of common and low-frequency variant association signals at GWAS loci, integrated with genomic annotation in relevant tissues, can provide insight into the functional and regulatory mechanisms through which their effects on glycaemic and obesity-related traits are mediated.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Genome-wide Association; Body-mass Index; Rare Genetic-variation; Type-2 Diabetes Risk; Waist-hip Ratio; Low-frequency; Insulin-resistance; Fasting Glucose; Genotype Imputation; Asian Populations
Language english
Publication Year 2015
HGF-reported in Year 2015
ISSN (print) / ISBN 1553-7390
e-ISSN 1553-7404
Journal PLoS Genetics
Quellenangaben Volume: 11, Issue: 7, Pages: , Article Number: e1005230 Supplement: ,
Publisher Public Library of Science (PLoS)
Publishing Place San Francisco
Reviewing status Peer reviewed
Institute(s) Institute of Genetic Epidemiology (IGE)
Institute of Epidemiology (EPI)
POF-Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30202 - Environmental Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-504100-001
G-504091-002
G-504000-001
G-504091-004
PubMed ID 26132169
DOI 10.1371/journal.pgen.1005230
WOS ID WOS:000360622200002
Scopus ID 84938765668
Erfassungsdatum 2015-07-03
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