Title | A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape. |
Publication Type | Journal Article |
Year of Publication | 2016 |
Authors | Ried, JS, M, JJeff, Chu, AY, Bragg-Gresham, JL, van Dongen, J, Huffman, JE, Ahluwalia, TS, Cadby, G, Eklund, N, Eriksson, J, Esko, T, Feitosa, MF, Goel, A, Gorski, M, Hayward, C, Heard-Costa, NL, Jackson, AU, Jokinen, E, Kanoni, S, Kristiansson, K, Kutalik, Z, Lahti, J, Luan, J'an, Mägi, R, Mahajan, A, Mangino, M, Medina-Gómez, C, Monda, KL, Nolte, IM, Perusse, L, Prokopenko, I, Qi, L, Rose, LM, Salvi, E, Smith, MT, Snieder, H, Stančáková, A, Sung, YJu, Tachmazidou, I, Teumer, A, Thorleifsson, G, van der Harst, P, Walker, RW, Wang, SR, Wild, SH, Willems, SM, Wong, A, Zhang, W, Albrecht, E, Alves, ACouto, Bakker, SJL, Barlassina, C, Bartz, TM, Beilby, J, Bellis, C, Bergman, RN, Bergmann, S, Blangero, J, Blüher, M, Boerwinkle, E, Bonnycastle, LL, Bornstein, SR, Bruinenberg, M, Campbell, H, Chen, Y-DI, Chiang, CWK, Chines, PS, Collins, FS, Cucca, F, Cupples, AL, D'Avila, F, de Geus, EJC, Dedoussis, G, Dimitriou, M, Döring, A, Eriksson, JG, Farmaki, A-E, Farrall, M, Ferreira, T, Fischer, K, Forouhi, NG, Friedrich, N, Gjesing, APrior, Glorioso, N, Graff, M, Grallert, H, Grarup, N, Gräßler, J, Grewal, J, Hamsten, A, Harder, MNeergaard, Hartman, CA, Hassinen, M, Hastie, N, Hattersley, ATym, Havulinna, AS, Heliövaara, M, Hillege, H, Hofman, A, Holmen, O, Homuth, G, Hottenga, J-J, Hui, J, Husemoen, LLotte, Hysi, PG, Isaacs, A, Ittermann, T, Jalilzadeh, S, James, AL, Jørgensen, T, Jousilahti, P, Jula, A, Justesen, JMarie, Justice, AE, Kähönen, M, Karaleftheri, M, Khaw, KTee, Keinanen-Kiukaanniemi, SM, Kinnunen, L, Knekt, PB, Koistinen, HA, Kolcic, I, Kooner, IK, Koskinen, S, Kovacs, P, Kyriakou, T, Laitinen, T, Langenberg, C, Lewin, AM, Lichtner, P, Lindgren, CM, Lindström, J, Linneberg, A, Lorbeer, R, Lorentzon, M, Luben, R, Lyssenko, V, Männistö, S, Manunta, P, Leach, IMateo, McArdle, WL, McKnight, B, Mohlke, KL, Mihailov, E, Milani, L, Mills, R, Montasser, ME, Morris, AP, Müller, G, Musk, AW, Narisu, N, Ong, KK, Oostra, BA, Osmond, C, Palotie, A, Pankow, JS, Paternoster, L, Penninx, BW, Pichler, I, Pilia, MG, Polasek, O, Pramstaller, PP, Raitakari, OT, Rankinen, T, Rao, DC, Rayner, NW, Ribel-Madsen, R, Rice, TK, Richards, M, Ridker, PM, Rivadeneira, F, Ryan, KA, Sanna, S, Sarzynski, MA, Scholtens, S, Scott, RA, Sebert, S, Southam, L, Sparsø, THempel, Steinthorsdottir, V, Stirrups, K, Stolk, RP, Strauch, K, Stringham, HM, Swertz, MA, Swift, AJ, Tönjes, A, Tsafantakis, E, van der Most, PJ, van Vliet-Ostaptchouk, JV, Vandenput, L, Vartiainen, E, Venturini, C, Verweij, N, Viikari, JS, Vitart, V, Vohl, M-C, Vonk, JM, Waeber, G, Widen, E, Willemsen, G, Wilsgaard, T, Winkler, TW, Wright, AF, Yerges-Armstrong, LM, Zhao, JHua, Zillikens, CM, Boomsma, DI, Bouchard, C, Chambers, JC, Chasman, DI, Cusi, D, Gansevoort, RT, Gieger, C, Hansen, T, Hicks, AA, Hu, F, Hveem, K, Jarvelin, M-R, Kajantie, E, Kooner, JS, Kuh, D, Kuusisto, J, Laakso, M, Lakka, TA, Lehtimäki, T, Metspalu, A, Njølstad, I, Ohlsson, C, Oldehinkel, AJ, Palmer, LJ, Pedersen, O, Perola, M, Peters, A, Psaty, BM, Puolijoki, H, Rauramaa, R, Rudan, I, Salomaa, V, Schwarz, PEH, Shudiner, AR, Smit, JH, Sørensen, TIA, Spector, TD, Stefansson, K, Stumvoll, M, Tremblay, A, Tuomilehto, J, Uitterlinden, AG, Uusitupa, M, Völker, U, Vollenweider, P, Wareham, NJ, Watkins, H, Wilson, JF, Zeggini, E, Abecasis, GR, Boehnke, M, Borecki, IB, Deloukas, P, van Duijn, CM, Fox, C, Groop, LC, Heid, IM, Hunter, DJ, Kaplan, RC, McCarthy, MI, North, KE, O'Connell, JR, Schlessinger, D, Thorsteinsdottir, U, Strachan, DP, Frayling, T, Hirschhorn, JN, Müller-Nurasyid, M, Loos, RJF |
Journal | Nat Commun |
Volume | 7 |
Pagination | 13357 |
Date Published | 2016 11 23 |
ISSN | 2041-1723 |
Keywords | Anthropometry, Body Size, Genome-Wide Association Study, Genotype, Humans, Models, Genetic, Principal Component Analysis |
Abstract | <p>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.</p> |
DOI | 10.1038/ncomms13357 |
Alternate Journal | Nat Commun |
PubMed ID | 27876822 |
PubMed Central ID | PMC5114527 |
Grant List | NF-SI-0611-10219 / / Department of Health / United Kingdom R01 DK093757 / DK / NIDDK NIH HHS / United States MC_U147574242 / / Medical Research Council / United Kingdom R01 HL120393 / HL / NHLBI NIH HHS / United States U01 HL130114 / HL / NHLBI NIH HHS / United States R01 DK072193 / DK / NIDDK NIH HHS / United States MC_UU_12019/1 / / Medical Research Council / United Kingdom MR/J012165/1 / / Medical Research Council / United Kingdom UL1 TR000124 / TR / NCATS NIH HHS / United States MC_UU_12015/1 / / Medical Research Council / United Kingdom R01 HL105756 / HL / NHLBI NIH HHS / United States P30 DK063491 / DK / NIDDK NIH HHS / United States MC_UU_12011/3 / / Medical Research Council / United Kingdom P30 DK072488 / DK / NIDDK NIH HHS / United States P30 DK020541 / DK / NIDDK NIH HHS / United States MC_PC_U127561128 / / Medical Research Council / United Kingdom UM1 CA182913 / CA / NCI NIH HHS / United States 098395 / / Wellcome Trust / United Kingdom U01 DK062370 / DK / NIDDK NIH HHS / United States P30 DK020572 / DK / NIDDK NIH HHS / United States R01 HL117626 / HL / NHLBI NIH HHS / United States MC_UP_A620_1016 / / Medical Research Council / United Kingdom P2C HD050924 / HD / NICHD NIH HHS / United States G0601261 / / Medical Research Council / United Kingdom |