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Title: Genome partitioning of genetic variation for complex traits using common SNPs.
Authors: Yang J,  Manolio TA,  Pasquale LR,  Boerwinkle E,  Caporaso N,  Cunningham JM,  de Andrade M,  Feenstra B,  Feingold E,  Hayes MG,  Hill WG,  Landi MT,  Alonso A,  Lettre G,  Lin P,  Ling H,  Lowe W,  Mathias RA,  Melbye M,  Pugh E,  Cornelis MC,  Weir BS,  Goddard ME,  Visscher PM
Journal: Nat Genet
Date: 2011 Jun
Branches: ITEB
PubMed ID: 21552263
PMC ID: PMC4295936
Abstract: We estimate and partition genetic variation for height, body mass index (BMI), von Willebrand factor and QT interval (QTi) using 586,898 SNPs genotyped on 11,586 unrelated individuals. We estimate that ∼45%, ∼17%, ∼25% and ∼21% of the variance in height, BMI, von Willebrand factor and QTi, respectively, can be explained by all autosomal SNPs and a further ∼0.5-1% can be explained by X chromosome SNPs. We show that the variance explained by each chromosome is proportional to its length, and that SNPs in or near genes explain more variation than SNPs between genes. We propose a new approach to estimate variation due to cryptic relatedness and population stratification. Our results provide further evidence that a substantial proportion of heritability is captured by common SNPs, that height, BMI and QTi are highly polygenic traits, and that the additive variation explained by a part of the genome is approximately proportional to the total length of DNA contained within genes therein.