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Power analysis of transcriptome-wide association study: Implications for practical protocol choice.
Cao, Chen; Ding, Bowei; Li, Qing; Kwok, Devin; Wu, Jingjing; Long, Quan.
Affiliation
  • Cao C; Department of Biochemistry & Molecular Biology, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada.
  • Ding B; Department of Mathematics & Statistics, University of Calgary, Calgary, Canada.
  • Li Q; Department of Biochemistry & Molecular Biology, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada.
  • Kwok D; Department of Mathematics & Statistics, University of Calgary, Calgary, Canada.
  • Wu J; Department of Mathematics & Statistics, University of Calgary, Calgary, Canada.
  • Long Q; Department of Biochemistry & Molecular Biology, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada.
PLoS Genet ; 17(2): e1009405, 2021 02.
Article in En | MEDLINE | ID: mdl-33635859
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Gene Expression Profiling / Genome-Wide Association Study / Transcriptome Type of study: Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2021 Document type: Article Affiliation country: Canada Country of publication: United States
Fulltext
Add to My VHL
Print
XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Gene Expression Profiling / Genome-Wide Association Study / Transcriptome Type of study: Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2021 Document type: Article Affiliation country: Canada Country of publication: United States