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Genomic-Relatedness Matching Expands Population Coverage, Improves Power, and Reduces Bias in Genetic Association Analyses.

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Title: Genomic-Relatedness Matching Expands Population Coverage, Improves Power, and Reduces Bias in Genetic Association Analyses.
Authors: Jaishankar D; Anderson School of Management, University of California Los Angeles, Los Angeles, CA, USA., Gjorgjieva T; Department of Genetics, Stanford University, Stanford, CA, USA.; National Bureau of Economic Research, Cambridge, MA, USA., Jala J; Anderson School of Management, University of California Los Angeles, Los Angeles, CA, USA., Swigert J; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA., Young AS; Anderson School of Management, University of California Los Angeles, Los Angeles, CA, USA.; Human Genetics Department, UCLA David Geffen School of Medicine, Los Angeles, CA, USA., Benjamin DJ; Anderson School of Management, University of California Los Angeles, Los Angeles, CA, USA.; National Bureau of Economic Research, Cambridge, MA, USA.; Human Genetics Department, UCLA David Geffen School of Medicine, Los Angeles, CA, USA., Cesarini DA; National Bureau of Economic Research, Cambridge, MA, USA.; Department of Economics, New York University, New York, NY, USA., Turley P; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.; Department of Economics, University of Southern California, Los Angeles, CA, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2026 May 18. Date of Electronic Publication: 2026 May 18.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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        Value: 10.64898/2026.05.14.26353140
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