Quantifying direct genetic signal captured by principal component adjustment.
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| Title: | Quantifying direct genetic signal captured by principal component adjustment. |
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| Authors: | Sotoudeh R; Department of Sociology, Yale University, New Haven, CT 06511.; Department of Statistics and Data Science, Yale University, New Haven, CT 06511., Trejo S; Department of Sociology, Princeton University, Princeton, NJ 08544.; Office of Population Research, Princeton University, Princeton, NJ 08544., Harpak A; Department of Population Health, Dell Medical School, University of Texas at Austin, Austin, TX 78712.; Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712.; The Oden Institute for Computational Engineering and Science, University of Texas at Austin, Austin, TX 78712., Conley D; Department of Sociology, Princeton University, Princeton, NJ 08544.; Office of Population Research, Princeton University, Princeton, NJ 08544.; New York Genome Center, New York, NY 10013.; National Bureau of Economic Research, Cambridge, MA 02138. |
| Source: | Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2026 May 05; Vol. 123 (18), pp. e2525790123. Date of Electronic Publication: 2026 Apr 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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