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A simulation study investigating power estimates in phenome-wide association studies.
Verma, Anurag; Bradford, Yuki; Dudek, Scott; Lucas, Anastasia M; Verma, Shefali S; Pendergrass, Sarah A; Ritchie, Marylyn D.
Affiliation
  • Verma A; Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
  • Bradford Y; The Huck Institutes of the Life Science, Pennsylvania State University, University Park, PA, USA.
  • Dudek S; Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
  • Lucas AM; Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
  • Verma SS; Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
  • Pendergrass SA; Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
  • Ritchie MD; The Huck Institutes of the Life Science, Pennsylvania State University, University Park, PA, USA.
BMC Bioinformatics ; 19(1): 120, 2018 04 04.
Article in En | MEDLINE | ID: mdl-29618318
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenotype / Computer Simulation / Disease / Polymorphism, Single Nucleotide / Quantitative Trait Loci / Genome-Wide Association Study / Genetic Association Studies Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2018 Document type: Article Affiliation country: Country of publication:
Fulltext
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Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenotype / Computer Simulation / Disease / Polymorphism, Single Nucleotide / Quantitative Trait Loci / Genome-Wide Association Study / Genetic Association Studies Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2018 Document type: Article Affiliation country: Country of publication: