Significant sparse polygenic risk scores across 813 traits in UK Biobank is a research paper published in PLoS Genetics (2022). On theSindex it has a DataRank of 0.770. It has been cited 169 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — 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 — never from an abstract alone.
Base Score Contribution
0.770
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.
Learn more about DataRank methodology →National Human Genome Research Institute
Grant: R01HG010140
National Institutes of Health
Grant: 5U01 HG009080
National Institutes of Health
Grant: 5R01 EB 001988-21
National Institutes of Health
Grant: 5R01 EB001988-16
National Science Foundation
Grant: DMS-1407548
National Science Foundation
Grant: 19 DMS1208164
National Human Genome Research Institute
Grant: R01HG008155
National Institute on Aging
Grant: R01AG067151
NIBIB NIH HHS
Grant: R01 EB001988
Medical Research Council
Grant: MC_QA137853
Medical Research Council
Grant: MC_PC_17228
Novo Nordisk Fonden
Grant: NNF17OC0025806
NIGMS NIH HHS
Grant: R01 GM134483
NHGRI NIH HHS
Grant: U01 HG009080
National Institutes of Health
Grant: 1R01AG067151-01A1
Single-Cell Transcriptional and Epigenomic Dissection to Identify Therapeutic Targets for ALS and FTD
National Science Foundation
Grant: 1407548
Flexible Statistical Modeling
National Institutes of Health
Grant: 5R01HG010140-03
SOFTWARE FOR LARGE-SCALE INFERENCE OF THE GENETICS OF LIFESTYLE MEASURES, BIOMARKERS, AND COMMON AND RARE DISEASES
National Science Foundation
Grant: 1208164
Flexible and Adaptive Statistical Modeling
National Institutes of Health
Grant: 7R01HG008155-04
Interpreting non-coding variants using epigenomics, regulatory models, & validation experiments
National Institutes of Health
Grant: 3U01HG009080-05S1
Optimizing imputation for diverse populations in a distributed framework
National Institutes of Health
Grant: 5R01EB001988-14
New Statistical Methods for Medical Signals and Images
School of Medicine, Stanford University
Funai Foundation for Information Technology
Fields of Study
MeSH Terms
Keywords