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lodGWAS: a software package for genome-wide association analysis of biomarkers with a limit of detection.
Vaez, Ahmad; van der Most, Peter J; Prins, Bram P; Snieder, Harold; van den Heuvel, Edwin; Alizadeh, Behrooz Z; Nolte, Ilja M.
  • Vaez A; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran and.
  • van der Most PJ; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Prins BP; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Snieder H; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • van den Heuvel E; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands, Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Alizadeh BZ; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Nolte IM; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Bioinformatics ; 32(10): 1552-4, 2016 05 15.
Article en En | MEDLINE | ID: mdl-26803157
ABSTRACT
UNLABELLED Genome-wide association study (GWAS) of a biomarker is complicated when the assay procedure of the biomarker is restricted by a Limit of Detection (LOD). Those observations falling outside the LOD cannot be simply discarded, but should be included into the analysis by applying an appropriate statistical method. However, the problem of LOD in GWAS analysis of such biomarkers is usually overlooked. 'lodGWAS' is a flexible, easy-to-use R package that provides a simple and elegant way for GWAS analysis of such biomarkers while simultaneously accommodating the problem of LOD by applying a parametric survival analysis method. AVAILABILITY AND IMPLEMENTATION http//cran.r-project.org/web/packages/lodGWAS CONTACTS a.vaez@umcg.nl or i.m.nolte@umcg.nl SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biomarcadores / Estudio de Asociación del Genoma Completo Tipo de estudio: Diagnostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biomarcadores / Estudio de Asociación del Genoma Completo Tipo de estudio: Diagnostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2016 Tipo del documento: Article