Genome-wide association studies have identified hundreds of risk loci for autoimmune disease, yet only a minority (~25%) share genetic effects with changes to gene expression (eQTLs) in immune cells. RNA-Seq based quantification at whole-gene resolution, where abundance is estimated by ...
Read More »Detecting eQTLs from high-dimensional sequencing data using recount2
useR! International R User 2017 Conference – July 7, 2017 Kai Kammers – Johns Hopkins University School of Medicine
Read More »Mapping eQTLs With RNA-Seq reveals a more comprehensive set of eQTLs and illuminates underlying molecular consequence missed by microarrays
Studies attempting to functionally interpret complex-disease susceptibility loci by GWAS and eQTL integration have predominantly employed microarrays to quantify gene-expression. RNA-Seq has the potential to discover a more comprehensive set of eQTLs and illuminate the underlying molecular consequence. Researchers from ...
Read More »Postdoc Position Available – Statistical Genetics and Genomics in Oat
Job #298421738 Cornell University Ithaca, NY Title: Postdoctoral Associate for Statistical Genetics and Genomics in Oat, Section of Plant Breeding and Genetics, School of Integrative Plant Science, CALS, Cornell University Location: Ithaca Summary A postdoctoral associate position is available to ...
Read More »Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels
RNA-sequencing (RNA-seq) is a powerful technique for the identification of genetic variants that affect gene-expression levels, either through expression quantitative trait locus (eQTL) mapping or through allele-specific expression (ASE) analysis. Given increasing numbers of RNA-seq samples in the public domain, ...
Read More »Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels
Given increasing numbers of RNA-seq samples in the public domain, researchers at the University of Groningen studied to what extent expression quantitative trait loci (eQTLs) and allele-specific expression (ASE) can be identified in public RNA-seq data while also deriving the ...
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