Publication | Closed Access
Coanalysis of GWAS with eQTLs reveals disease-tissue associations.
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Citations
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References
2012
Year
Genome-wide Association StudyGenotype-phenotype AssociationVariant InterpretationTissue SpecificityGeneticsGenetic EpidemiologyPathologyStatistical GeneticsOmicsBiostatisticsGenomicsEqtl Data SetsGene ExpressionMedicineFunctional GenomicsPublic HealthGenome-wide Association Studies
Expression quantitative trait loci (eQTL), or genetic variants associated with changes in gene expression, have the potential to assist in interpreting results of genome-wide association studies (GWAS). eQTLs also have varying degrees of tissue specificity. By correlating the statistical significance of eQTLs mapped in various tissue types to their odds ratios reported in a large GWAS by the Wellcome Trust Case Control Consortium (WTCCC), we discovered that there is a significant association between diseases studied genetically and their relevant tissues. This suggests that eQTL data sets can be used to determine tissues that play a role in the pathogenesis of a disease, thereby highlighting these tissue types for further post-GWAS functional studies.
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