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On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association Studies

Bingxin Zhao and Hongtu Zhu

Journal of the American Statistical Association, 2022, vol. 117, issue 537, 1-11

Abstract: Cross-trait polygenic risk score (PRS) method has gained popularity for assessing genetic correlation of complex traits using summary statistics from biobank-scale genome-wide association studies (GWAS). However, empirical evidence has shown a common bias phenomenon that highly significant cross-trait PRS can only account for a very small amount of genetic variance (R2 can be

Date: 2022
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DOI: 10.1080/01621459.2021.1906684

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Journal of the American Statistical Association is currently edited by Xuming He, Jun Liu, Joseph Ibrahim and Alyson Wilson

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