View in EDS

Quantifying direct genetic signal captured by principal component adjustment.

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42060716
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantifying direct genetic signal captured by principal component adjustment.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Sotoudeh+R%22">Sotoudeh R</searchLink>; Department of Sociology, Yale University, New Haven, CT 06511.; Department of Statistics and Data Science, Yale University, New Haven, CT 06511.<br /><searchLink fieldCode="AU" term="%22Trejo+S%22">Trejo S</searchLink>; Department of Sociology, Princeton University, Princeton, NJ 08544.; Office of Population Research, Princeton University, Princeton, NJ 08544.<br /><searchLink fieldCode="AU" term="%22Harpak+A%22">Harpak A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Conley+D%22">Conley D</searchLink>; 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.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227505876%22">Proceedings of the National Academy of Sciences of the United States of America</searchLink> [Proc Natl Acad Sci U S A] 2026 May 05; Vol. 123 (18), pp. e2525790123. <i>Date of Electronic Publication: </i>2026 Apr 30.
– 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="%22National+Academy+of+Sciences%22">National Academy of Sciences </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7505876 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1091-6490 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200278424%22">00278424 </searchLink><i>NLM ISO Abbreviation: </i>Proc Natl Acad Sci U S A <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42060716
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1073/pnas.2525790123
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e2525790123
    Titles:
      – TitleFull: Quantifying direct genetic signal captured by principal component adjustment.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sotoudeh R
      – PersonEntity:
          Name:
            NameFull: Trejo S
      – PersonEntity:
          Name:
            NameFull: Harpak A
      – PersonEntity:
          Name:
            NameFull: Conley D
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 05
              M: 05
              Text: 2026 May 05
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1091-6490
          Numbering:
            – Type: volume
              Value: 123
            – Type: issue
              Value: 18
          Titles:
            – TitleFull: Proceedings of the National Academy of Sciences of the United States of America
              Type: main
ResultId 1