HIGHLIGHTS
- who: Prediction Utilizing Sex-Specific PRSs et al. from the Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States, Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States have published the research work: Comparison of Methods Utilizing Sex-Speci fi c PRSs Derived From GWAS Summary Statistics, in the Journal: (JOURNAL)
- what: The authors perform comprehensive simulations and real data_analysis to assess the performance of three GWAS-based PRS methods, namely PRScs, PRScsx, and LDpred2, with different strategies to generate PRSs. The authors focus on three such . . .
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