Title
Joint Modelling Of Confounding Factors And Prominent Genetic Regulators Provides Increased Accuracy In Genetical Genomics Studies
Abstract
Expression quantitative trait loci (eQTL) studies are an integral tool to investigate the genetic component of gene expression variation. A major challenge in the analysis of such studies are hidden confounding factors, such as unobserved covariates or unknown subtle environmental perturbations. These factors can induce a pronounced artifactual correlation structure in the expression profiles, which may create spurious false associations or mask real genetic association signals. Here, we report PANAMA (Probabilistic ANAlysis of genoMic dAta), a novel probabilistic model to account for confounding factors within an eQTL analysis. In contrast to previous methods, PANAMA learns hidden factors jointly with the effect of prominent genetic regulators. As a result, this new model can more accurately distinguish true genetic association signals from confounding variation. We applied our model and compared it to existing methods on different datasets and biological systems. PANAMA consistently performs better than alternative methods, and finds in particular substantially more trans regulators. Importantly, our approach not only identifies a greater number of associations, but also yields hits that are biologically more plausible and can be better reproduced between independent studies. A software implementation of PANAMA is freely available online at http://ml.sheffield.ac.uk/qtl/.
Year
DOI
Venue
2012
10.1371/journal.pcbi.1002330
PLOS COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
quantitative trait loci,algorithms,genetics,confounding factor,gene expression regulation,computer simulation,genetic variation
Confounding,Covariate,Quantitative trait locus,Biology,Genetic variation,Genomics,Genetic association,Confounding Factors (Epidemiology),Expression quantitative trait loci,Bioinformatics,Genetics
Journal
Volume
Issue
ISSN
8
1
1553-734X
Citations 
PageRank 
References 
16
1.42
2
Authors
3
Name
Order
Citations
PageRank
Nicoló Fusi117210.23
Oliver Stegle220020.95
Neil D. Lawrence33411268.51