Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0. It has been cited 55 times.
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NIA NIH HHS
Grant: P30 AG021342
NIDA NIH HHS
Grant: R01 DA037974
NIGMS NIH HHS
Grant: R01 GM122078
NCATS NIH HHS
Grant: UL1 TR001863
National Institutes of Health
Grant: 5R01DA037974-05
Identifying Methamphetamine Risk Variants by Extreme Phenotype Exome Sequencing
National Institutes of Health
Grant: 5R01GM122078-04
Statistical Models for Genetic Studies, Using Network and Integrative Analysis
National Science Foundation
Grant: 1713120
Misspecified Mixed Model Analysis: Theory and Application
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 3P30AG021342-16S2
Claude D. Pepper Older Americans Independence Center at Yale
Wellcome Trust
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Sustainable Development Goals
Additional file 10 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 10 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 11 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 11 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 1 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 1 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 2 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 2 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 3 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 3 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 4 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 4 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 5 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 5 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 6 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 6 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 7 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 7 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 8 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Additional file 8 of Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease