Genomic-Relatedness Matching Expands Population Coverage, Improves Power, and Reduces Bias in Genetic Association Analyses.
Saved in:
| 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 |
Be the first to leave a comment!
