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Ried, J.S. ; Jeff, J.M.* ; Chu, A.Y.* ; Bragg-Gresham, J.L.* ; van Dongen, J.* ; Huffman, J.E.* ; Ahluwalia, T.S.* ; Cadby, G.* ; Eklund, N.* ; Eriksson, J.* ; Esko, T.* ; Feitosa, M.F.* ; Goel, A.* ; Gorski, M.* ; Hayward, C.* ; Heard-Costa, N.L.* ; Jackson, A.U.* ; Jokinen, E.* ; Kanoni, S.* ; Kristiansson, K.* ; Kutalik, Z.* ; Lahti, J.* ; Luan, J.* ; Mägi, R.* ; Mahajan, A.* ; Mangino, M.* ; Medina-Gomez, C.* ; Monda, K.L.* ; Nolte, I.M.* ; Perusse, L.* ; Prokopenko, I.* ; Qi, L.* ; Rose, L.M.* ; Salvi, E.* ; Smith, M.T.* ; Snieder, H.* ; Standáková, A.* ; Ju Sung, Y.* ; Tachmazidou, I.* ; Teumer, A.* ; Thorleifsson, G.* ; van der Harst, P.* ; Lichtner, P. ; Gieger, C. ; Loos, R.J.F.* ; Willems, S.M.* ; Wong, A.* ; Zhang, W.* ; Albrecht, E. ; Couto Alves, A.* ; Bakker, S.J.L.* ; Barlassina, C.* ; Bartz, T.M.* ; Beilby, J.* ; Bellis, C.* ; Bergman, R.N.* ; Bergmann, S.* ; Blangero, J.* ; Blüher, M.* ; Boerwinkle, E.* ; Bonnycastle, L.L.* ; Bornstein, S.R.* ; Bruinenberg, M.* ; Campbell, H.* ; Döring, A. ; Grallert, H. ; Strauch, K. ; Peters, A. ; Heid, I.M. ; Müller-Nurasyid, M.

A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape.

Nat. Commun. 7:13357 (2016)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Genome-wide Association; Diet-induced Obesity; Mass Index; Disease Associations; Fat Distribution; Early-onset; Hip Ratio; Resource; Biology; Height
Sprache deutsch
Veröffentlichungsjahr 2016
HGF-Berichtsjahr 2016
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 7, Heft: , Seiten: , Artikelnummer: 13357 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Genetic Epidemiology (IGE)
Institute of Epidemiology (EPI)
Institute of Human Genetics (IHG)
POF Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504100-001
G-504000-001
G-504091-002
G-500700-001
PubMed ID 27876822
DOI 10.1038/ncomms13357
WOS ID WOS:000388319700001
Scopus ID 85000900079
Erfassungsdatum 2016-12-20
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