Shi, J., & Brenner, H. (2016). Winner’s curse correction and variable thresholding improve performance of polygenic risk modeling based on genome-wide association study summary-level data. PLoS Genetics, 12(12), . https://doi.org/10.1371/journal.pgen.1006493
Chicago Style (17th ed.) CitationShi, Jianxin, and Hermann Brenner. "Winner’s Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-wide Association Study Summary-level Data." PLoS Genetics 12, no. 12 (2016). https://doi.org/10.1371/journal.pgen.1006493.
MLA (9th ed.) CitationShi, Jianxin, and Hermann Brenner. "Winner’s Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-wide Association Study Summary-level Data." PLoS Genetics, vol. 12, no. 12, 2016, https://doi.org/10.1371/journal.pgen.1006493.