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Evaluating 17 methods incorporating biological function with GWAS summary statistics to accelerate discovery demonstrates a tradeoff between high sensitivity and high positive predictive value

Crossref DOI link: https://doi.org/10.1038/s42003-023-05413-w

Published Online: 2023-11-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Moore, Amy http://orcid.org/0000-0002-5083-0577
Marks, Jesse A. http://orcid.org/0000-0002-8159-3594
Quach, Bryan C. http://orcid.org/0000-0002-1094-3104
Guo, Yuelong

Bierut, Laura J. http://orcid.org/0000-0002-9952-4810
Gaddis, Nathan C.

Hancock, Dana B. http://orcid.org/0000-0003-2240-3604
Page, Grier P. http://orcid.org/0000-0003-2582-3786
Johnson, Eric O. http://orcid.org/0000-0002-8870-1949
Funding

Funding for this research was provided by:

U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (R01 DA044014)
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Text and Data Mining valid from 2023-11-24

Version of Record valid from 2023-11-24
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Article History

Received: 5 April 2022

Accepted: 3 October 2023

First Online: 24 November 2023

Competing interests

: The authors declare no competing interests.

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