Journal article

Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits

Luke M Evans, Rasool Tahmasbi, Scott I Vrieze, Goncalo R Abecasis, Sayantan Das, Steven Gazal, Douglas W Bjelland, Teresa R de Candia, Michael E Goddard, Benjamin M Neale, Jian Yang, Peter M Visscher, Matthew C Keller

Nature Genetics | NATURE PUBLISHING GROUP | Published : 2018

University of Melbourne Researchers

Grants

Awarded by NIH


Awarded by NHMRC


Awarded by National Science Foundation


Funding Acknowledgements

We thank D. Speed (University College London) for providing LDAK5. We thank the Keller and Vrieze lab groups, the Institute for Behavioral Genetics, N. Wray, A. Price, and S. Caron for helpful comments. This work was supported by NIH grant R01MH100141 (to M.C.K.), NHMRC grants 1078037 (to P.M.V.) and 1113400 (to P.M.V. and J.Y.), Sylvia & Charles Viertel Charitable Foundation Senior Medical Research Fellowship (to J.Y.), and NIH grants R01DA037904 and R01HG008983 (to S.V.). This work used the Janus supercomputer, which is supported by the National Science Foundation (award number CNS-0821794), the University of Colorado Boulder, the University of Colorado Denver, and the National Center for Atmospheric Research. The Janus supercomputer is operated by the University of Colorado Boulder. We thank the participants of the individual Haplotype Reference Consortium cohorts. This research has been conducted using the UK Biobank Resource.