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Data sharing in the PRIMED Consortium: Design, implementation, and recommendations for future policymaking
Keywords data sharing cloud platforms genomic summary results data access and use consortium polygenic risk scores Get full text access Log in, subscribe or purchase for full access. References 1. Kachuri, L. ∙ Chatterjee, N. ∙ Hirbo, J. ..., Polygenic Risk Methods in Diverse Populations PRIMED Consortium Methods Working Group Principles and methods for transferring polygenic risk scores across global populations Nat. Rev. Genet. 2024; 25:8-25 2. Kullo, I.J. ∙ Conomos, M.P. ∙ Nelson, S.C. ...
Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk
Genome and Epigenome Yaohua Yang, Lang Wu, Xiang Shu, Yingchang Lu, Xiao-Ou Shu, Qiuyin Cai, Alicia Beeghly-Fadiel, Bingshan Li, Fei Ye, Andrew Berchuck, Hoda Anton-Culver, Susana Banerjee, Javier Benitez, Line Bjørge, James D. Brenton, Ralf Butzow, Ian G. Campbell, Jenny Chang-Claude, Kexin Chen, Linda S. Cook, Daniel W. Cramer, Anna deFazio, Joe Dennis, Jennifer A. Doherty, Thilo Dörk, Diana M. Eccles, Digna Velez Edwards, Peter A. Fasching, Renée T. Fortner, Simon A. Gayther, Graham G.
Genetic data from nearly 63,000 women of European descent predicts DNA methylation biomarkers and epithelial ovarian cancer risk
Genetic data from nearly 63,000 women of European descent predicts DNA methylation biomarkers and epithelial ovarian cancer risk Yaohua Yang, Lang Wu, Xiang Shu, Yingchang Lu, Xiao-ou Shu, Qiuyin Cai, Alicia Beeghly-Fadiel, Bingshan Li, Fei Ye, Andrew Berchuck, Hoda Anton-Culver, Susana Banerjee, Javier Benitez, Line Bjørge, James D. Brenton, Ralf Butzow, Ian G. Campbell, Jenny Chang-Claude, Kexin Chen, Linda S. Cook, Daniel W. Cramer, Anna DeFazio, Joe Dennis, Jennifer A.
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