Title | Hundreds of variants clustered in genomic loci and biological pathways affect human height. |
Publication Type | Journal Article |
Year of Publication | 2010 |
Authors | Allen, HLango, Estrada, K, Lettre, G, Berndt, SI, Weedon, MN, Rivadeneira, F, Willer, CJ, Jackson, AU, Vedantam, S, Raychaudhuri, S, Ferreira, T, Wood, AR, Weyant, RJ, Segrè, AV, Speliotes, EK, Wheeler, E, Soranzo, N, Park, J-H, Yang, J, Gudbjartsson, D, Heard-Costa, NL, Randall, JC, Qi, L, Smith, AVernon, Mägi, R, Pastinen, T, Liang, L, Heid, IM, Luan, J'an, Thorleifsson, G, Winkler, TW, Goddard, ME, Lo, KSin, Palmer, C, Workalemahu, T, Aulchenko, YS, Johansson, A, Zillikens, CM, Feitosa, MF, Esko, T, Johnson, T, Ketkar, S, Kraft, P, Mangino, M, Prokopenko, I, Absher, D, Albrecht, E, Ernst, F, Glazer, NL, Hayward, C, Hottenga, J-J, Jacobs, KB, Knowles, JW, Kutalik, Z, Monda, KL, Polasek, O, Preuss, M, Rayner, NW, Robertson, NR, Steinthorsdottir, V, Tyrer, JP, Voight, BF, Wiklund, F, Xu, J, Zhao, JH, Nyholt, DR, Pellikka, N, Perola, M, Perry, JRB, Surakka, I, Tammesoo, M-L, Altmaier, EL, Amin, N, Aspelund, T, Bhangale, T, Boucher, G, Chasman, DI, Chen, C, Coin, L, Cooper, MN, Dixon, AL, Gibson, Q, Grundberg, E, Hao, K, M Junttila, J, Kaplan, LM, Kettunen, J, König, IR, Kwan, T, Lawrence, RW, Levinson, DF, Lorentzon, M, McKnight, B, Morris, AP, Müller, M, Ngwa, JSuh, Purcell, S, Rafelt, S, Salem, RM, Salvi, E, Sanna, S, Shi, J, Sovio, U, Thompson, JR, Turchin, MC, Vandenput, L, Verlaan, DJ, Vitart, V, White, CC, Ziegler, A, Almgren, P, Balmforth, AJ, Campbell, H, Citterio, L, De Grandi, A, Dominiczak, A, Duan, J, Elliott, P, Elosua, R, Eriksson, JG, Freimer, NB, Geus, EJC, Glorioso, N, Haiqing, S, Hartikainen, A-L, Havulinna, AS, Hicks, AA, Hui, J, Igl, W, Illig, T, Jula, A, Kajantie, E, Kilpeläinen, TO, Koiranen, M, Kolcic, I, Koskinen, S, Kovacs, P, Laitinen, J, Liu, J, Lokki, M-L, Marusic, A, Maschio, A, Meitinger, T, Mulas, A, Paré, G, Parker, AN, Peden, JF, Petersmann, A, Pichler, I, Pietiläinen, KH, Pouta, A, Ridderstråle, M, Rotter, JI, Sambrook, JG, Sanders, AR, Schmidt, COliver, Sinisalo, J, Smit, JH, Stringham, HM, G Walters, B, Widen, E, Wild, SH, Willemsen, G, Zagato, L, Zgaga, L, Zitting, P, Alavere, H, Farrall, M, McArdle, WL, Nelis, M, Peters, MJ, Ripatti, S, van Meurs, JBJ, Aben, KK, Ardlie, KG, Beckmann, JS, Beilby, JP, Bergman, RN, Bergmann, S, Collins, FS, Cusi, D, Heijer, Mden, Eiriksdottir, G, Gejman, PV, Hall, AS, Hamsten, A, Huikuri, HV, Iribarren, C, Kähönen, M, Kaprio, J, Kathiresan, S, Kiemeney, L, Kocher, T, Launer, LJ, Lehtimäki, T, Melander, O, Mosley, TH, Musk, AW, Nieminen, MS, O'Donnell, CJ, Ohlsson, C, Oostra, B, Palmer, LJ, Raitakari, O, Ridker, PM, Rioux, JD, Rissanen, A, Rivolta, C, Schunkert, H, Shuldiner, AR, Siscovick, DS, Stumvoll, M, Tönjes, A, Tuomilehto, J, van Ommen, G-J, Viikari, J, Heath, AC, Martin, NG, Montgomery, GW, Province, MA, Kayser, M, Arnold, AM, Atwood, LD, Boerwinkle, E, Chanock, SJ, Deloukas, P, Gieger, C, Grönberg, H, Hall, P, Hattersley, AT, Hengstenberg, C, Hoffman, W, Lathrop, MG, Salomaa, V, Schreiber, S, Uda, M, Waterworth, D, Wright, AF, Assimes, TL, Barroso, I, Hofman, A, Mohlke, KL, Boomsma, DI, Caulfield, MJ, Cupples, AL, Erdmann, J, Fox, CS, Gudnason, V, Gyllensten, U, Harris, TB, Hayes, RB, Jarvelin, M-R, Mooser, V, Munroe, PB, Ouwehand, WH, Penninx, BW, Pramstaller, PP, Quertermous, T, Rudan, I, Samani, NJ, Spector, TD, Völzke, H, Watkins, H, Wilson, JF, Groop, LC, Haritunians, T, Hu, FB, Kaplan, RC, Metspalu, A, North, KE, Schlessinger, D, Wareham, NJ, Hunter, DJ, O'Connell, JR, Strachan, DP, Wichmann, H-E, Borecki, IB, van Duijn, CM, Schadt, EE, Thorsteinsdottir, U, Peltonen, L, Uitterlinden, AG, Visscher, PM, Chatterjee, N, Loos, RJF, Boehnke, M, McCarthy, MI, Ingelsson, E, Lindgren, CM, Abecasis, GR, Stefansson, K, Frayling, TM, Hirschhorn, JN |
Journal | Nature |
Volume | 467 |
Issue | 7317 |
Pagination | 832-8 |
Date Published | 2010 Oct 14 |
ISSN | 1476-4687 |
Keywords | Body Height, Chromosomes, Human, Pair 3, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Metabolic Networks and Pathways, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide |
Abstract | <p>Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.</p> |
DOI | 10.1038/nature09410 |
Alternate Journal | Nature |
PubMed ID | 20881960 |
PubMed Central ID | PMC2955183 |
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United States G9521010(63660) / / Medical Research Council / United Kingdom R01 AA007535 / AA / NIAAA NIH HHS / United States R01 DK058845 / DK / NIDDK NIH HHS / United States R01 AA007535-08 / AA / NIAAA NIH HHS / United States N01AG12100 / AG / NIA NIH HHS / United States MH084698 / MH / NIMH NIH HHS / United States R01 MH059565-06 / MH / NIMH NIH HHS / United States R01 CA065725-14 / CA / NCI NIH HHS / United States CZB/4/279 / / Chief Scientist Office / United Kingdom R01-MH60870 / MH / NIMH NIH HHS / United States R56 DK062370 / DK / NIDDK NIH HHS / United States N01-HC15103 / HC / NHLBI NIH HHS / United States R01-HL59367 / HL / NHLBI NIH HHS / United States R01 AA014041 / AA / NIAAA NIH HHS / United States K05 AA017688 / AA / NIAAA NIH HHS / United States N01HG65403 / HG / NHGRI NIH HHS / United States R01 MH084698 / MH / NIMH NIH HHS / United States N01HC55018 / HL / NHLBI NIH HHS / United States G0600331 / / Medical Research Council / United Kingdom N01-HC55021 / HC / NHLBI 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