Inference of Modules Associated to eQTLs
We developed a three-step computational method that associates modules of transcripts with a single genetic variant.
Our method aims at elucidating the joint relationships between transcripts and SNPs.
This entails detection and analysis of modules of transcripts, each weakly associated to a single genetic variant,
together exposing a high-confidence association signal between the module and this main SNP.
To explore how transcripts in a module are related to causative loci for that module we represent such dependencies by a graphical model.
This method is applied to data on both gene expression and SNP variation across multiple individuals.
1) Nominal association testing for pairs of SNP and transcript and assembly of associated transcripts to the same main eSNP into modules.
2) Assigning a score for each module and then filter the modules by a confidence score.
3) Finding secondary SNPs by associating subgroups of transcripts within a module with additional variants
conditioned on the genotype of the main SNP.
Download: Modules_eQTLs
Contact
Anat Kreimer: ak2996 - at - Columbia - dot - edu