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Lodgwas: A Software Package for Genome-Wide Association Analysis of Biomarkers With a Limit of Detection Publisher Pubmed



Vaez A1, 2 ; Van Der Most PJ1 ; Prins BP1 ; Snieder H1 ; Van Den Heuvel E1, 3 ; Alizadeh BZ1 ; Nolte IM1
Authors
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Authors Affiliations
  1. 1. Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
  2. 2. School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands

Source: Bioinformatics Published:2016


Abstract

Summary: 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. © 2016 The Author 2016. Published by Oxford University Press. All rights reserved.