Non-parametric Polygenic Risk Prediction via Partitioned GWAS Summary Statistics is a research paper published in The American Journal of Human Genetics (2020). On theSindex it has a DataRank of 0.584. It has been cited 48 times.
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Base Score Contribution
0.584
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: R01MH101244
Merck
Grant: U01HG006500
Merck
Grant: R35GM127131
National Institutes of Health
Grant: K08HL114642
National Institutes of Health
Grant: R01HL131961
National Institutes of Health
Grant: UM1HG008853
NHLBI NIH HHS
Grant: R01 HL107816
NHGRI NIH HHS
Grant: U01 HG009088
Donovan Family Foundation
Fondation Leducq
Foundation for Barnes-Jewish Hospital
Massachusetts General Hospital
FWCI
5.88
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction
Additional file 1 of Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction