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...

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Bibliografski detalji
Izdano u:PLoS Genet
Glavni autori: Shi, Jianxin, Park, Ju-Hyun, Duan, Jubao, Berndt, Sonja T., Moy, Winton, Yu, Kai, Song, Lei, Wheeler, William, Hua, Xing, Silverman, Debra, Garcia-Closas, Montserrat, Hsiung, Chao Agnes, Figueroa, Jonine D., Cortessis, Victoria K., Malats, Núria, Karagas, Margaret R., Vineis, Paolo, Chang, I-Shou, Lin, Dongxin, Zhou, Baosen, Seow, Adeline, Matsuo, Keitaro, Hong, Yun-Chul, Caporaso, Neil E., Wolpin, Brian, Jacobs, Eric, Petersen, Gloria M., Klein, Alison P., Li, Donghui, Risch, Harvey, Sanders, Alan R., Hsu, Li, Schoen, Robert E., Brenner, Hermann, Stolzenberg-Solomon, Rachael, Gejman, Pablo, Lan, Qing, Rothman, Nathaniel, Amundadottir, Laufey T., Landi, Maria Teresa, Levinson, Douglas F., Chanock, Stephen J., Chatterjee, Nilanjan
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2016
Teme:
Research Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5201242/
https://ncbi.nlm.nih.gov/pubmed/28036406
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1006493
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