Quantifying direct genetic signal captured by principal component adjustment.

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Bibliographic Details
Title: Quantifying direct genetic signal captured by principal component adjustment.
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
Description
ISSN:1091-6490
DOI:10.1073/pnas.2525790123