Functional regression method for whole genome eQTL epistasis analysis with sequencing data.

ABSTRACT:

Background

Epistasis plays an essential rule in understanding the regulation mechanisms and is an essential component of the genetic architecture of the gene expressions. However, interaction analysis of gene expressions remains fundamentally unexplored due to great computational challenges and data availability. Due to variation in splicing, transcription start sites, polyadenylation sites, post-transcriptional RNA editing across the entire gene, and transcription rates of the cells, RNA-seq measurements generate large expression variability and collectively create the observed position level read count curves. A single number for measuring gene expression which is widely used for microarray measured gene expression analysis is highly unlikely to sufficiently account for large exp

SUBMITTER: Xu K 

PROVIDER: S-EPMC5436462 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature