Genome-wide association analysis identifies 20 loci that influence adult height |
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| Authors: | Weedon Michael N,Lango Hana,Lindgren Cecilia M,Wallace Chris,Evans David M,Mangino Massimo,Freathy Rachel M,Perry John R B,Stevens Suzanne,Hall Alistair S,Samani Nilesh J,Shields Beverly,Prokopenko Inga,Farrall Martin,Dominiczak Anna Diabetes Genetics Initiative Wellcome Trust Case Control Consortium,Johnson Toby,Bergmann Sven,Beckmann Jacques S,Vollenweider Peter,Waterworth Dawn M,Mooser Vincent,Palmer Colin N A,Morris Andrew D,Ouwehand Willem H Cambridge GEM Consortium,Zhao Jing Hua,Li Shengxu,Loos Ruth J F,Barroso Inês,Deloukas Panagiotis,Sandhu Manjinder S,Wheeler Eleanor,Soranzo Nicole |
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| Affiliation: | Genetics of Complex Traits, Institute of Biomedical and Clinical Science, Peninsula Medical School, Magdalen Road, Exeter EX1 2LU, UK. |
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| Abstract: | ![]()
Adult height is a model polygenic trait, but there has been limited success in identifying the genes underlying its normal variation. To identify genetic variants influencing adult human height, we used genome-wide association data from 13,665 individuals and genotyped 39 variants in an additional 16,482 samples. We identified 20 variants associated with adult height (P < 5 x 10(-7), with 10 reaching P < 1 x 10(-10)). Combined, the 20 SNPs explain approximately 3% of height variation, with a approximately 5 cm difference between the 6.2% of people with 17 or fewer 'tall' alleles compared to the 5.5% with 27 or more 'tall' alleles. The loci we identified implicate genes in Hedgehog signaling (IHH, HHIP, PTCH1), extracellular matrix (EFEMP1, ADAMTSL3, ACAN) and cancer (CDK6, HMGA2, DLEU7) pathways, and provide new insights into human growth and developmental processes. Finally, our results provide insights into the genetic architecture of a classic quantitative trait. |
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