Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies
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DOI: 10.1371/journal.pcbi.1007565
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References listed on IDEAS
- Yiming Hu & Qiongshi Lu & Wei Liu & Yuhua Zhang & Mo Li & Hongyu Zhao, 2017. "Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction," PLOS Genetics, Public Library of Science, vol. 13(6), pages 1-22, June.
- Yiming Hu & Qiongshi Lu & Ryan Powles & Xinwei Yao & Can Yang & Fang Fang & Xinran Xu & Hongyu Zhao, 2017. "Leveraging functional annotations in genetic risk prediction for human complex diseases," PLOS Computational Biology, Public Library of Science, vol. 13(6), pages 1-16, June.
- Robert M. Maier & Zhihong Zhu & Sang Hong Lee & Maciej Trzaskowski & Douglas M. Ruderfer & Eli A. Stahl & Stephan Ripke & Naomi R. Wray & Jian Yang & Peter M. Visscher & Matthew R. Robinson, 2018. "Improving genetic prediction by leveraging genetic correlations among human diseases and traits," Nature Communications, Nature, vol. 9(1), pages 1-17, December.
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- Minta Thomas & Yu-Ru Su & Elisabeth A. Rosenthal & Lori C. Sakoda & Stephanie L. Schmit & Maria N. Timofeeva & Zhishan Chen & Ceres Fernandez-Rozadilla & Philip J. Law & Neil Murphy & Robert Carreras-, 2023. "Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- Sara Kress & Akinori Hara & Claudia Wigmann & Takehiro Sato & Keita Suzuki & Kim-Oanh Pham & Qi Zhao & Ashtyn Areal & Atsushi Tajima & Holger Schwender & Hiroyuki Nakamura & Tamara Schikowski, 2022. "The Role of Polygenic Susceptibility on Air Pollution-Associated Asthma between German and Japanese Elderly Women," IJERPH, MDPI, vol. 19(16), pages 1-11, August.
- Wei Jiang & Ling Chen & Matthew J. Girgenti & Hongyu Zhao, 2024. "Tuning parameters for polygenic risk score methods using GWAS summary statistics from training data," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
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