Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data.
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| Title: | Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data. |
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| Authors: | Salvatore M; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.; Center for Precision Health Data Science, University of Michigan, Ann Arbor, Michigan, USA., Kundu R; Center for Precision Health Data Science, University of Michigan, Ann Arbor, Michigan, USA.; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA., Du J; Center for Precision Health Data Science, University of Michigan, Ann Arbor, Michigan, USA.; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA., Friese CR; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA.; Center for Improving Patient and Population Health, School of Nursing, University of Michigan, Ann Arbor, Michigan, USA.; Department of Health Management and Policy, University of Michigan, Ann Arbor, Michigan, USA., Mondul AM; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA., Hanauer D; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA., Lu H; Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, USA., Pearce CL; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA., Mukherjee B; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, USA.; Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.; Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA. |
| Source: | Genetic epidemiology [Genet Epidemiol] 2026 Jul; Vol. 50 (5), pp. e70047. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley-Liss Country of Publication: United States NLM ID: 8411723 Publication Model: Print Cited Medium: Internet ISSN: 1098-2272 (Electronic) Linking ISSN: 07410395 NLM ISO Abbreviation: Genet Epidemiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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