Table 2.xls (5.5 kB)
GWAS data with summary level data.
dataset
posted on 2016-12-30, 18:26 authored by 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, Rachael Stolzenberg-Solomon, Pablo Gejman, Qing Lan, Nathaniel Rothman, Laufey T. Amundadottir, Maria Teresa Landi, Douglas F. Levinson, Stephen J. Chanock, Nilanjan ChatterjeeGWAS data with summary level data.
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association coefficientsSNPs selectionPolygenic Risk ModelingwinnerR 2non-uniform linkage disequilibrium structure14 diseasessummary-level datagenome-wide association studiescursemethodrisk predictionPRS algorithmmodelling techniquetype 2 diabetespolygenic risk scoreCurse CorrectionGWAS summary-level dataprediction R 2heritability analysessimulation studiesdiscovery samplescorrectionannotation datasingle-nucleotide polymorphismsperformanceVariable ThresholdingGenome-Wide Association Study Summary-Level Data
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