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Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR
View ORCID ProfileAnna Hutchinson, Guillermo Reales, Chris Wallace
doi: https://doi.org/10.1101/2020.12.04.411710
Anna Hutchinson
1MRC Biostatistics Unit, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK
Guillermo Reales
2Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, CB2 0AW, UK
3Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 2QQ, UK
Chris Wallace
1MRC Biostatistics Unit, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK
2Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, CB2 0AW, UK
3Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 2QQ, UK
Posted December 04, 2020.
Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR
Anna Hutchinson, Guillermo Reales, Chris Wallace
bioRxiv 2020.12.04.411710; doi: https://doi.org/10.1101/2020.12.04.411710
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