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Genetic association testing using the GENESIS R/Bioconductor package.
Gogarten, Stephanie M; Sofer, Tamar; Chen, Han; Yu, Chaoyu; Brody, Jennifer A; Thornton, Timothy A; Rice, Kenneth M; Conomos, Matthew P.
Afiliação
  • Gogarten SM; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Sofer T; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Chen H; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Yu C; Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Brody JA; Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Thornton TA; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Rice KM; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
  • Conomos MP; Department of Biostatistics, University of Washington, Seattle, WA, USA.
Bioinformatics ; 35(24): 5346-5348, 2019 12 15.
Article em En | MEDLINE | ID: mdl-31329242
ABSTRACT

SUMMARY:

The Genomic Data Storage (GDS) format provides efficient storage and retrieval of genotypes measured by microarrays and sequencing. We developed GENESIS to perform various single- and aggregate-variant association tests using genotype data stored in GDS format. GENESIS implements highly flexible mixed models, allowing for different link functions, multiple variance components and phenotypic heteroskedasticity. GENESIS integrates cohesively with other R/Bioconductor packages to build a complete genomic analysis workflow entirely within the R environment. AVAILABILITY AND IMPLEMENTATION https//bioconductor.org/packages/GENESIS; vignettes included. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos