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Improved linear mixed models for genome-wide association studies

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Acknowledgements

We thank J. Carlson for help with tools to manage and analyze the data and P. Palamara for cataloging the positions and genetic distances of SNPs in the data for Crohn's disease. This study makes use of data generated by the Wellcome Trust Case Control Consortium. A full list of the investigators who contributed to the generation of the data is available from http://www.wtccc.org.uk/. Funding for the project was provided by the Wellcome Trust under award 076113 and 085475. E.E. is supported by US National Science Foundation grants 0916676 and 1065276 and by US National Institutes of Health grants K25-HL080079, U01-DA024417, P01-HL30568 and PO1-HL28481.

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Correspondence to Jennifer Listgarten, Christoph Lippert or David Heckerman.

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J.L., C.L., C.M.K., R.I.D. and D.H. performed research related to this manuscript while employed by Microsoft.

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Listgarten, J., Lippert, C., Kadie, C. et al. Improved linear mixed models for genome-wide association studies. Nat Methods 9, 525–526 (2012). https://doi.org/10.1038/nmeth.2037

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