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- Title
Genome partitioning of genetic variation for complex traits using common SNPs.
- Authors
Jian Yang; Manolio, Teri A.; Pasquale, Louis R.; Boerwinkle, Eric; Caporaso, Neil; Cunningham, Julie M.; de Andrade, Mariza; Feenstra, Bjarke; Feingold, Eleanor; Hayes, M. Geoffrey; Hill, William G.; Landi, Maria Teresa; Alonso, Alvaro; Lettre, Guillaume; Peng Lin; Hua Ling; Lowe, William; Mathias, Rasika A.; Melbye, Mads; Pugh, Elizabeth
- 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.
- Subjects
HUMAN genetic variation; GENETIC polymorphisms; BODY mass index; DNA; LINKAGE disequilibrium; GENE frequency; LOCUS (Genetics)
- Publication
Nature Genetics, 2011, Vol 43, Issue 6, p519
- ISSN
1061-4036
- Publication type
Article
- DOI
10.1038/ng.823