التفاصيل البيبلوغرافية
العنوان: |
An R package 'VariABEL' for genome-wide searching of potentially interacting loci by testing genotypic variance heterogeneity |
المؤلفون: |
Struchalin, Maksim V, Amin, Najaf, Eilers, Paul HC, van Duijn, Cornelia M, Aulchenko, Yurii S |
بيانات النشر: |
BioMed Central Ltd. |
سنة النشر: |
2012 |
المجموعة: |
BioMed Central |
مصطلحات موضوعية: |
single-nucleotide polymorphisms (SNPs), genome-wide association (GWA), gene-environment interactions (GxE), gene-gene interactions (GxG), variance heterogeneity, environmental sensitivity, VariABEL, the GenABEL project |
الوصف: |
Background Hundreds of new loci have been discovered by genome-wide association studies of human traits. These studies mostly focused on associations between single locus and a trait. Interactions between genes and between genes and environmental factors are of interest as they can improve our understanding of the genetic background underlying complex traits. Genome-wide testing of complex genetic models is a computationally demanding task. Moreover, testing of such models leads to multiple comparison problems that reduce the probability of new findings. Assuming that the genetic model underlying a complex trait can include hundreds of genes and environmental factors, testing of these models in genome-wide association studies represent substantial difficulties. We and Pare with colleagues (2010) developed a method allowing to overcome such difficulties. The method is based on the fact that loci which are involved in interactions can show genotypic variance heterogeneity of a trait. Genome-wide testing of such heterogeneity can be a fast scanning approach which can point to the interacting genetic variants. Results In this work we present a new method, SVLM, allowing for variance heterogeneity analysis of imputed genetic variation. Type I error and power of this test are investigated and contracted with these of the Levene's test. We also present an R package, VariABEL, implementing existing and newly developed tests. Conclusions Variance heterogeneity analysis is a promising method for detection of potentially interacting loci. New method and software package developed in this work will facilitate such analysis in genome-wide context. |
نوع الوثيقة: |
article in journal/newspaper |
اللغة: |
English |
Relation: |
http://www.biomedcentral.com/1471-2156/13/4 |
الاتاحة: |
http://www.biomedcentral.com/1471-2156/13/4 |
Rights: |
Copyright 2012 Struchalin et al; licensee BioMed Central Ltd. |
رقم الانضمام: |
edsbas.643349BC |
قاعدة البيانات: |
BASE |