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Secondary analyses for genome-wide association studies using expression quantitative trait loci.
Ngwa, Julius S; Yanek, Lisa R; Kammers, Kai; Kanchan, Kanika; Taub, Margaret A; Scharpf, Robert B; Faraday, Nauder; Becker, Lewis C; Mathias, Rasika A; Ruczinski, Ingo.
Affiliation
  • Ngwa JS; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Yanek LR; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Kammers K; Department of Oncology, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Kanchan K; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Taub MA; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Scharpf RB; Department of Oncology, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Faraday N; Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Becker LC; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Mathias RA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Ruczinski I; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Genet Epidemiol ; 46(3-4): 170-181, 2022 04.
Article in En | MEDLINE | ID: mdl-35312098

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Trait Loci / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Genet Epidemiol Journal subject: EPIDEMIOLOGIA / GENETICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Trait Loci / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Genet Epidemiol Journal subject: EPIDEMIOLOGIA / GENETICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication: