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Xue, A.* ; Wu, Y.* ; Zhu, Z.* ; Zhang, F.* ; Kemper, K.E.* ; Zheng, Z.* ; Yengo, L.* ; Lloyd-Jones, L.R.* ; Sidorenko, J.* ; eQTLGen Consortium* ; Agbessi, M.* ; Ahsan, H.* ; Alves, I.* ; Andiappan, A.K.* ; Awadalla, P.* ; Battle, A.* ; Beutner, F.* ; Bonder, M.J.* ; Boomsma, D.* ; Christiansen, M.W.* ; Claringbould, A.* ; Deelen, P.* ; Esko, T.* ; Favé, M.J.* ; Franke, L.* ; Frayling, T.* ; Gharib, S.A.* ; Gibson, G.* ; Hemani, G.* ; Jansen, R.* ; Kähönen, M.* ; Kalnapenkis, A.* ; Kasela, S.* ; Kettunen, J.* ; Kim, Y.* ; Kirsten, H.* ; Kovacs, P.* ; Krohn, K.* ; Kronberg-Guzman, J.* ; Kukushkina, V.* ; Kutalik, Z.* ; Lee, B.* ; Lehtimäki, T.* ; Loeffler, M.* ; Marigorta, U.M.* ; Metspalu, A.* ; Milani, L.* ; eQTLGen Consortium (Müller-Nurasyid, M. ; Prokisch, H. ; Schramm, K.) ; Nauck, M.* ; Nivard, M.* ; Penninx, B.* ; Perola, M.* ; Pervjakova, N.* ; Pierce, B.F.* ; Powell, J.* ; Psaty, B.* ; Raitakari, O.* ; Ring, S.* ; Ripatti, S.* ; Rotzschke, O.* ; Ruëger, S.* ; Saha, A.* ; Scholz, M.* ; Seppälä, I.* ; Stumvoll, M.* ; Sullivan, P.F.* ; Teumer, A.* ; Thiery, J.* ; Tong, L.* ; Tönjes, A.* ; van Dongen, J.* ; van Meurs, J.B.* ; Verlouw, J.* ; Völker, U.* ; Võsa, U.* ; Yaghootkar, H.* ; Zeng, B.* ; McRae, A.F.* ; Visscher, P.M.* ; Zeng, J.* ; Yang, J.*

Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes.

Nat. Commun. 9:2941 (2018)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Type 2 diabetes (T2D) is a very common disease in humans. Here we conduct a meta-analysis of genome-wide association studies (GWAS) with ~16 million genetic variants in 62,892 T2D cases and 596,424 controls of European ancestry. We identify 139 common and 4 rare variants associated with T2D, 42 of which (39 common and 3 rare variants) are independent of the known variants. Integration of the gene expression data from blood (n = 14,115 and 2765) with the GWAS results identifies 33 putative functional genes for T2D, 3 of which were targeted by approved drugs. A further integration of DNA methylation (n = 1980) and epigenomic annotation data highlight 3 genes (CAMK1D, TP53INP1, and ATP5G1) with plausible regulatory mechanisms, whereby a genetic variant exerts an effect on T2D through epigenetic regulation of gene expression. Our study uncovers additional loci, proposes putative genetic regulatory mechanisms for T2D, and provides evidence of purifying selection for T2D-associated variants.
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Publication type Article: Journal article
Document type Scientific Article
Language english
Publication Year 2018
HGF-reported in Year 2018
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Journal Nature Communications
Quellenangaben Volume: 9, Issue: 1, Pages: , Article Number: 2941 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Institute of Genetic Epidemiology (IGE)
Institute of Human Genetics (IHG)
POF-Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-504100-001
G-500700-001
DOI 10.1038/s41467-018-04951-w
Scopus ID 85050718439
PubMed ID 30054458
Erfassungsdatum 2018-09-06
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