Abstract
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 traits1, 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 trait2,3. 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 alreadydiscovered 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.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Nature |
Vol/bind | 467 |
Udgave nummer | 7317 |
Sider (fra-til) | 832-8 |
Antal sider | 7 |
DOI | |
Status | Udgivet - 14 okt. 2010 |
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I: Nature, Bind 467, Nr. 7317, 14.10.2010, s. 832-8.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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TY - JOUR
T1 - Hundreds of variants clustered in genomic loci and biological pathways affect human height
AU - Lango Allen, Hana
AU - Estrada, Karol
AU - Lettre, Guillaume
AU - Berndt, Sonja I
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AU - Hayward, Caroline
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AU - Kutalik, Zoltán
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AU - Tyrer, Jonathan P
AU - Voight, Benjamin F
AU - Wiklund, Fredrik
AU - Xu, Jianfeng
AU - Zhao, Jing Hua
AU - Nyholt, Dale R
AU - Pellikka, Niina
AU - Perola, Markus
AU - Perry, John R B
AU - Surakka, Ida
AU - Tammesoo, Mari-Liis
AU - Altmaier, Elizabeth L
AU - Amin, Najaf
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AU - Chasman, Daniel I
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AU - Cooper, Matthew N
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AU - Gibson, Quince
AU - Grundberg, Elin
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AU - König, Inke R
AU - Kwan, Tony
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AU - Müller, Martina
AU - Suh Ngwa, Julius
AU - Purcell, Shaun
AU - Rafelt, Suzanne
AU - Salem, Rany M
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AU - Sanna, Serena
AU - Shi, Jianxin
AU - Sovio, Ulla
AU - Thompson, John R
AU - Turchin, Michael C
AU - Vandenput, Liesbeth
AU - Verlaan, Dominique J
AU - Vitart, Veronique
AU - White, Charles C
AU - Ziegler, Andreas
AU - Almgren, Peter
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AU - Campbell, Harry
AU - Citterio, Lorena
AU - De Grandi, Alessandro
AU - Dominiczak, Anna
AU - Duan, Jubao
AU - Elliott, Paul
AU - Elosua, Roberto
AU - Eriksson, Johan G
AU - Freimer, Nelson B
AU - Geus, Eco J C
AU - Glorioso, Nicola
AU - Haiqing, Shen
AU - Hartikainen, Anna-Liisa
AU - Havulinna, Aki S
AU - Hicks, Andrew A
AU - Hui, Jennie
AU - Igl, Wilmar
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AU - Jula, Antti
AU - Kajantie, Eero
AU - Oskari Kilpeläinen, Tuomas
AU - Koiranen, Markku
AU - Kolcic, Ivana
AU - Koskinen, Seppo
AU - Kovacs, Peter
AU - Laitinen, Jaana
AU - Liu, Jianjun
AU - Lokki, Marja-Liisa
AU - Marusic, Ana
AU - Maschio, Andrea
AU - Meitinger, Thomas
AU - Mulas, Antonella
AU - Paré, Guillaume
AU - Parker, Alex N
AU - Peden, John F
AU - Petersmann, Astrid
AU - Pichler, Irene
AU - Pietiläinen, Kirsi H
AU - Pouta, Anneli
AU - Ridderstråle, Martin
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AU - Sambrook, Jennifer G
AU - Sanders, Alan R
AU - Schmidt, Carsten Oliver
AU - Sinisalo, Juha
AU - Smit, Jan H
AU - Stringham, Heather M
AU - Bragi Walters, G
AU - Widen, Elisabeth
AU - Wild, Sarah H
AU - Willemsen, Gonneke
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AU - McArdle, Wendy L
AU - Nelis, Mari
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AU - Ardlie, Kristin G
AU - Beckmann, Jacques S
AU - Beilby, John P
AU - Bergman, Richard N
AU - Bergmann, Sven
AU - Collins, Francis S
AU - Cusi, Daniele
AU - den Heijer, Martin
AU - Eiriksdottir, Gudny
AU - Gejman, Pablo V
AU - Hall, Alistair S
AU - Hamsten, Anders
AU - Huikuri, Heikki V
AU - Iribarren, Carlos
AU - Kähönen, Mika
AU - Kaprio, Jaakko
AU - Kathiresan, Sekar
AU - Kiemeney, Lambertus
AU - Kocher, Thomas
AU - Launer, Lenore J
AU - Lehtimäki, Terho
AU - Melander, Olle
AU - Mosley, Tom H
AU - Musk, Arthur W
AU - Nieminen, Markku S
AU - O'Donnell, Christopher J
AU - Ohlsson, Claes
AU - Oostra, Ben
AU - Palmer, Lyle J
AU - Raitakari, Olli
AU - Ridker, Paul M
AU - Rioux, John D
AU - Rissanen, Aila
AU - Rivolta, Carlo
AU - Schunkert, Heribert
AU - Shuldiner, Alan R
AU - Siscovick, David S
AU - Stumvoll, Michael
AU - Tönjes, Anke
AU - Tuomilehto, Jaakko
AU - van Ommen, Gert-Jan
AU - Viikari, Jorma
AU - Heath, Andrew C
AU - Martin, Nicholas G
AU - Montgomery, Grant W
AU - Province, Michael A
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AU - Arnold, Alice M
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AU - Boerwinkle, Eric
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AU - Gieger, Christian
AU - Grönberg, Henrik
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AU - Hattersley, Andrew T
AU - Hengstenberg, Christian
AU - Hoffman, Wolfgang
AU - Lathrop, G Mark
AU - Salomaa, Veikko
AU - Schreiber, Stefan
AU - Uda, Manuela
AU - Waterworth, Dawn
AU - Wright, Alan F
AU - Assimes, Themistocles L
AU - Barroso, Inês
AU - Hofman, Albert
AU - Mohlke, Karen L
AU - Boomsma, Dorret I
AU - Caulfield, Mark J
AU - Cupples, L Adrienne
AU - Erdmann, Jeanette
AU - Fox, Caroline S
AU - Gudnason, Vilmundur
AU - Gyllensten, Ulf
AU - Harris, Tamara B
AU - Hayes, Richard B
AU - Jarvelin, Marjo-Riitta
AU - Mooser, Vincent
AU - Munroe, Patricia B
AU - Ouwehand, Willem H
AU - Penninx, Brenda W
AU - Pramstaller, Peter P
AU - Quertermous, Thomas
AU - Rudan, Igor
AU - Samani, Nilesh J
AU - Spector, Timothy D
AU - Völzke, Henry
AU - Watkins, Hugh
AU - Wilson, James
AU - Groop, Leif C
AU - Haritunians, Talin
AU - Hu, Frank B
AU - Kaplan, Robert C
AU - Metspalu, Andres
AU - North, Kari E
AU - Schlessinger, David
AU - Wareham, Nicholas J
AU - Hunter, David J
AU - O'Connell, Jeffrey R
AU - Strachan, David P
AU - Wichmann, H-Erich
AU - Borecki, Ingrid B
AU - van Duijn, Cornelia M
AU - Schadt, Eric E
AU - Thorsteinsdottir, Unnur
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AU - Uitterlinden, André G
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AU - Chatterjee, Nilanjan
AU - Loos, Ruth J F
AU - Boehnke, Michael
AU - McCarthy, Mark I
AU - Ingelsson, Erik
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AU - Abecasis, Gonçalo R
AU - Stefansson, Kari
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AU - Hirschhorn, Joel N
PY - 2010/10/14
Y1 - 2010/10/14
N2 - 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 traits1, 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 trait2,3. 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 alreadydiscovered 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.
AB - 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 traits1, 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 trait2,3. 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 alreadydiscovered 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.
KW - Body Height
KW - Chromosomes, Human, Pair 3
KW - Genetic Loci
KW - Genetic Predisposition to Disease
KW - Genome, Human
KW - Genome-Wide Association Study
KW - Humans
KW - Metabolic Networks and Pathways
KW - Multifactorial Inheritance
KW - Phenotype
KW - Polymorphism, Single Nucleotide
U2 - 10.1038/nature09410
DO - 10.1038/nature09410
M3 - Journal article
C2 - 20881960
SN - 1476-4687
VL - 467
SP - 832
EP - 838
JO - Nature
JF - Nature
IS - 7317
ER -