Winners curse correction and variable thresholding improve performance of polygenic risk modeling based on summary-level data from genome-wide association studies

Winners curse correction and variable thresholding improve performance of polygenic risk modeling based on summary-level data from genome-wide association studies

Jianxin Shi, JuHyun Park, Jubao Duan, Sonja Berndt, Winton Moy, William Wheeler, Xing Hua, Debra Silverman, Montserrat Garcia-Closas, Chao Agnes Hsiung, Jonine D. Figueroa, Victoria K. Cortessis, Nuria Malats, Margaret R. Karagas, Paolo Vineis, I-Shou Chang, Dongxin Lin, Baosen Zhou, Adeline Seow, Keitaro Matsuo, Yun-Chul Hong, Neil E. Caporaso, Brian Wolpin, Eric Jacobs, Gloria Petersen, Donghui Li, Harvey Risch, Alan R. Sanders, Li Hsu, Robert E. Schoen, Hermann Brenner, Rachael Stolzenberg-Solomon, Pablo Gejman, Qing Lan, Nathaniel Rothman, Laufey T. Amundadottir, Alison P. Klein, Maria Teresa Landi, Douglas F. Levinson, Stephen J. Chanock, Nilanjan Chatterjee
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