Published December 18, 2020 | Version v4

Data from "Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR" manuscript

Authors/Creators

  • 1. MRC Biostatistics Unit

Description

Data from "Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR" manuscript. Full results for applications 1 and 2.

Notes

Financial disclosure: AH is funded by the Engineering and Physical Sciences Research Council (EPSRC) https://epsrc.ukri.org/ (EP/R511870/1) and GlaxoSmithKline (GSK) https://www.gsk.com/. CW is funded by the Wellcome Trust https://wellcome.ac.uk/ (WT107881), the Medical Research Council (MRC) https://mrc.ukri.org/ (MC UU 00002/4) and supported by the NIHR Cambridge BRC https://cambridgebrc.nihr.ac.uk/ (BRC-1215-20014). GR is funded by the Wellcome Trust https://wellcome.ac.uk/ (WT107881). TW is funded by the Medical Research Council (MRC) https://mrc.ukri.org/ (MC UU 00002/4). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.

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Application1.csv

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md5:c43dd9fe659ff9c251326db324dffe54
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md5:02bb6d54ca6bf366a17a846e7b59a41c
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