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Gene-level association analysis of ordinal traits with functional ordinal logistic regressions.
Chiu, Chi-Yang; Wang, Shuqi; Zhang, Bingsong; Luo, Yutong; Simpson, Claire; Zhang, Wei; Wilson, Alexander F; Bailey-Wilson, Joan E; Agron, Elvira; Chew, Emily Y; Zhang, Jun; Xiong, Momiao; Fan, Ruzong.
Afiliação
  • Chiu CY; Division of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
  • Wang S; Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, USA.
  • Zhang B; Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia, USA.
  • Luo Y; Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia, USA.
  • Simpson C; Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia, USA.
  • Zhang W; Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
  • Wilson AF; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.
  • Bailey-Wilson JE; Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, USA.
  • Agron E; Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, USA.
  • Chew EY; National Eye Institute, National Institute of Health, Bethesda, Maryland, USA.
  • Zhang J; National Eye Institute, National Institute of Health, Bethesda, Maryland, USA.
  • Xiong M; Department of Computer Science and Engineering Technology, University of Maryland Eastern Shore, Princess Anne, Maryland, USA.
  • Fan R; Human Genetics Center, University of Texas-Houston, Houston, Texas, USA.
Genet Epidemiol ; 46(5-6): 234-255, 2022 07.
Article em En | MEDLINE | ID: mdl-35438198
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Testes Genéticos / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Testes Genéticos / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article