We developed a resource-efficient tool (called fastGWA) for mixed model association analysis, and applied it to 2,173 traits on 456,422 array-genotyped as well as 49,960 whole-exome-sequenced individuals of European ancestry in the UK Biobank (UKB). Full summary statistics of all traits can be downloaded using the Linux commands in http://cnsgenomics.com/software/gcta/#DataResource.

Credits and Acknowledgements

Zhili Zheng (online tool development and data analysis), Longda Jiang (data analysis), Jian Yang (overseeing). The online tool was developed based on the source code modified from PheWeb. We thank Alibaba Cloud - Australia and New Zealand for hosting the online tool.

Questions and Help Requests

If you have any question, please send an email to Jian Yang at jian.yang@uq.edu.au.

Citation

Jiang et al. (2019) A resource-efficient tool for mixed model association analysis of large-scale data. Nature Genet. 51, 1749–1755 (2019); doi:10.1038/s41588-019-0530-8..