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GBAT: a gene-based association test for robust detection of trans-gene regulation.
Liu, Xuanyao; Mefford, Joel A; Dahl, Andrew; He, Yuan; Subramaniam, Meena; Battle, Alexis; Price, Alkes L; Zaitlen, Noah.
Afiliação
  • Liu X; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA. xuanyao@uchicago.edu.
  • Mefford JA; Department of Human Genetics, The University of Chicago, Chicago, IL, USA. xuanyao@uchicago.edu.
  • Dahl A; Departments of Neurology and Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA.
  • He Y; Departments of Neurology and Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA.
  • Subramaniam M; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
  • Battle A; Departments of Neurology and Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA.
  • Price AL; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
  • Zaitlen N; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Genome Biol ; 21(1): 211, 2020 08 24.
Article em En | MEDLINE | ID: mdl-32831138
ABSTRACT
The observation that disease-associated genetic variants typically reside outside of exons has inspired widespread investigation into the genetic basis of transcriptional regulation. While associations between the mRNA abundance of a gene and its proximal SNPs (cis-eQTLs) are now readily identified, identification of high-quality distal associations (trans-eQTLs) has been limited by a heavy multiple testing burden and the proneness to false-positive signals. To address these issues, we develop GBAT, a powerful gene-based pipeline that allows robust detection of high-quality trans-gene regulation signal.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regulação da Expressão Gênica / Testes Genéticos / Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regulação da Expressão Gênica / Testes Genéticos / Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article