Discovering non-additive heritability using additive GWAS summary statistics is a research paper published in eLife (2024). On theSindex it has a DataRank of 0. It has been cited 13 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
National Institutes of Health
Grant: R35 GM151108
NIA NIH HHS
Grant: RF1 AG073593
NIH HHS
Grant: T32 GM128596
National Science Foundation
Grant: DBI-1452622
NIH HHS
Grant: R01 GM118652
NIH HHS
Grant: R35 GM139628
NIA NIH HHS
Grant: R01 AG073593
National Science Foundation
Grant: DMS-1439786
NIA NIH HHS
Grant: P30 AG066614
National Institutes of Health
Grant: 3T32GM128596-03S1
Predoctoral Training Program in Biological Data Science at Brown University
National Institutes of Health
Grant: 1R35GM139628-01
Novel population-genetic methods for localizing targets of natural selection in diverse human genomes
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 1R01GM118652-01
Novel statistical methods to localize genomic elements underlying adaptive evolution
National Science Foundation
Grant: 1439786
Institute for Computational and Experimental Research in Mathematics
National Science Foundation
Grant: 1452622
CAREER: Next-generation inference of evolutionary paramaters from genome-wide sequence data
National Institutes of Health
Grant: 1RF1AG073593-01
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia Onset
National Institutes of Health
Grant: 5R35GM151108-03
Making Genomic Prediction of Complex Disease Equitable
Alfred P. Sloan Foundation
David and Lucile Packard Foundation
FWCI
5.64
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords