Winner's Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-Wide Association Study Summary-Level Data.

Winner's Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-Wide Association Study Summary-Level Data.

Recent heritability analyses have indicated that genome-wide association studies (GWAS) have the potential to improve genetic risk prediction for complex diseases based on polygenic risk score (PRS), a simple modelling technique that can be implemented using summary-level data from the discovery sam...

Full description

Bibliographic Details
Main Authors: Jianxin Shi, Ju-Hyun Park, Jubao Duan, Sonja T Berndt, Winton Moy, Kai Yu, Lei Song, William Wheeler, Xing Hua, Debra Silverman, Montserrat Garcia-Closas, Chao Agnes Hsiung, Jonine D Figueroa, Victoria K Cortessis, Núria 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 M Petersen, Alison P Klein, Donghui Li, Harvey Risch, Alan R Sanders, Li Hsu, Robert E Schoen, Hermann Brenner, MGS (Molecular Genetics of Schizophrenia) GWAS Consortium, GECCO (The Genetics and Epidemiology of Colorectal Cancer Consortium), GAME-ON/TRICL (Transdisciplinary Research in Cancer of the Lung) GWAS Consortium, PRACTICAL (PRostate cancer AssoCiation group To Investigate Cancer Associated aLterations) Consortium, PanScan Consortium, GAME-ON/ELLIPSE Consortium, Rachael Stolzenberg-Solomon, Pablo Gejman, Qing Lan, Nathaniel Rothman, Laufey T Amundadottir, Maria Teresa Landi, Douglas F Levinson, Stephen J Chanock, Nilanjan Chatterjee
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-12-01
Series:PLoS Genetics
Online Access:https://doi.org/10.1371/journal.pgen.1006493

Internet

https://doi.org/10.1371/journal.pgen.1006493

Similar Items