Journal article

SumHer better estimates the SNP heritability of complex traits from summary statistics

Doug Speed, David J Balding

NATURE GENETICS | NATURE PUBLISHING GROUP | Published : 2019

University of Melbourne Researchers

Grants

Awarded by UK Medical Research Council


Awarded by European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie grant


Awarded by Independent Research Fund Denmark


Awarded by NHGRI


Awarded by National Institute on Aging


Awarded by dbGaP Project


Funding Acknowledgements

We thank A. Price, H. Finucane, P. O'Reilly and M. Speed for helpful discussions. Access to the Wellcome Trust Case Control Consortium data was authorized as work related to the project 'Genome-wide association study of susceptibility and clinical phenotypes in epilepsy', access to eMERGE Network data was granted under dbGaP Project 14422, 'Comprehensive testing of SNP-based prediction models', while access to the Health and Retirement Study was granted under dbGaP Project 15139, 'Developing summary-statistic tools for analysing genetic association study data'. D.S. is funded by the UK Medical Research Council under grant no. MR/L012561/1, by the European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie grant agreement no. 754513, by Aarhus University Research Foundation (AUFF) and the Independent Research Fund Denmark under Project no. 7025-00094B. The eMERGE Network was initiated and funded by NHGRI through the following grants: U01HG006828 (Cincinnati Children's Hospital Medical Center/Boston Children's Hospital); U01HG006830 (Children's Hospital of Philadelphia); U01HG006389 (Essentia Institute of Rural Health, Marshfield Clinic Research Foundation and Pennsylvania State University); U01HG006382 (Geisinger Clinic); U01HG006375 (Group Health Cooperative); U01HG006379 (Mayo Clinic); U01HG006380 (Icahn School of Medicine at Mount Sinai); U01HG006388 (Northwestern University); U01HG006378 (Vanderbilt University Medical Center); and U01HG006385 (Vanderbilt University Medical Center serving as the Coordinating Center). The Health and Retirement Study genetic data is sponsored by the National Institute on Aging (grant nos. U01AG009740, RC2AG036495, and RC4AG039029) and was conducted by the University of Michigan. Analyses were performed with the use of the UCL Computer Science Cluster and the help of the CS Technical Support Group, as well as the use of the UCL Legion High-Performance Computing Facility (Legion@UCL) and associated support services.