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Multi-PheWAS intersection approach to identify sex differences across comorbidities in 59 140 pediatric patients with autism spectrum disorder.
Gutiérrez-Sacristán, Alba; Sáez, Carlos; De Niz, Carlos; Jalali, Niloofar; DeSain, Thomas N; Kumar, Ranjay; Zachariasse, Joany M; Fox, Kathe P; Palmer, Nathan; Kohane, Isaac; Avillach, Paul.
Afiliação
  • Gutiérrez-Sacristán A; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Sáez C; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • De Niz C; Biomedical Data Science Lab, Instituto Universitario de Tecnologías de la Información y Comunicaciones, Universitat Politècnica de València, Valencia, Spain.
  • Jalali N; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • DeSain TN; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Kumar R; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Zachariasse JM; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Fox KP; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Palmer N; Department of General Paediatrics, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Kohane I; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
J Am Med Inform Assoc ; 29(2): 230-238, 2022 01 12.
Article em En | MEDLINE | ID: mdl-34405856
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Caracteres Sexuais / Transtorno do Espectro Autista Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Caracteres Sexuais / Transtorno do Espectro Autista Idioma: En Ano de publicação: 2022 Tipo de documento: Article