Journal article
Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index
J Yang, A Bakshi, Z Zhu, G Hemani, AAE Vinkhuyzen, SH Lee, MR Robinson, JRB Perry, IM Nolte, JV Van Vliet-Ostaptchouk, H Snieder, T Esko, L Milani, R Mägi, A Metspalu, A Hamsten, PKE Magnusson, NL Pedersen, E Ingelsson, N Soranzo Show all
Nature Genetics | Published : 2015
DOI: 10.1038/ng.3390
Abstract
We propose a method (GREML-LDMS) to estimate heritability for human complex traits in unrelated individuals using whole-genome sequencing data. We demonstrate using simulations based on whole-genome sequencing data that ∼97% and ∼68% of variation at common and rare variants, respectively, can be captured by imputation. Using the GREML-LDMS method, we estimate from 44,126 unrelated individuals that all ∼17 million imputed variants explain 56% (standard error (s.e.) = 2.3%) of variance for height and 27% (s.e. = 2.5%) of variance for body mass index (BMI), and we find evidence that height- and BMI-associated variants have been under natural selection. Considering the imperfect tagging of imput..
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Awarded by Sylvia and Charles Viertel Charitable Foundation
Funding Acknowledgements
This research was supported by the Australian National Health and Medical Research Council (grants 1052684, 1078037 and 1050218), the Australian Research Council (grant 130102666), the US National Institutes of Health (R01MH100141), the Sylvia and Charles Viertel Charitable Foundation and the University of Queensland Foundation. This study makes use of data from the database of Genotypes and Phenotypes (dbGaP) available under accessions phs000090, phs000091 and phs000428 and the EGCUT, LifeLines, TwinGene and UK10K studies (see the Supplementary Note for the full set of acknowledgments for these data).