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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42334080 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Salvatore+M%22">Salvatore M</searchLink>; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.; Center for Precision Health Data Science, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Kundu+R%22">Kundu R</searchLink>; Center for Precision Health Data Science, University of Michigan, Ann Arbor, Michigan, USA.; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Du+J%22">Du J</searchLink>; Center for Precision Health Data Science, University of Michigan, Ann Arbor, Michigan, USA.; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Friese+CR%22">Friese CR</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Mondul+AM%22">Mondul AM</searchLink>; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Hanauer+D%22">Hanauer D</searchLink>; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Lu+H%22">Lu H</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Pearce+CL%22">Pearce CL</searchLink>; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Mukherjee+B%22">Mukherjee B</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228411723%22">Genetic epidemiology</searchLink> [Genet Epidemiol] 2026 Jul; Vol. 50 (5), pp. e70047. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Liss%22">Wiley-Liss </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8411723 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1098-2272 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2207410395%22">07410395 </searchLink><i>NLM ISO Abbreviation: </i>Genet Epidemiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42334080 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/gepi.70047 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e70047 Titles: – TitleFull: Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Salvatore M – PersonEntity: Name: NameFull: Kundu R – PersonEntity: Name: NameFull: Du J – PersonEntity: Name: NameFull: Friese CR – PersonEntity: Name: NameFull: Mondul AM – PersonEntity: Name: NameFull: Hanauer D – PersonEntity: Name: NameFull: Lu H – PersonEntity: Name: NameFull: Pearce CL – PersonEntity: Name: NameFull: Mukherjee B IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1098-2272 Numbering: – Type: volume Value: 50 – Type: issue Value: 5 Titles: – TitleFull: Genetic epidemiology Type: main |
| ResultId | 1 |