Literature DB >> 33105808

Expression Quantitative Trait Locus Mapping in Pulmonary Arterial Hypertension.

Anna Ulrich1, Pablo Otero-Núñez1, John Wharton1, Emilia M Swietlik2,3, Stefan Gräf2,4,5, Nicholas W Morrell2,4, Dennis Wang6,7, Allan Lawrie8, Martin R Wilkins1, Inga Prokopenko9,10, Christopher J Rhodes1, On Behalf Of The Nihr BioResource-Rare Diseases Consortium, Uk Pah Cohort Study Consortium.   

Abstract

Expression quantitative trait loci (eQTL) can provide a link between disease susceptibility variants discovered by genetic association studies and biology. To date, eQTL mapping studies have been primarily conducted in healthy individuals from population-based cohorts. Genetic effects have been known to be context-specific and vary with changing environmental stimuli. We conducted a transcriptome- and genome-wide eQTL mapping study in a cohort of patients with idiopathic or heritable pulmonary arterial hypertension (PAH) using RNA sequencing (RNAseq) data from whole blood. We sought confirmation from three published population-based eQTL studies, including the GTEx Project, and followed up potentially novel eQTL not observed in the general population. In total, we identified 2314 eQTL of which 90% were cis-acting and 75% were confirmed by at least one of the published studies. While we observed a higher GWAS trait colocalization rate among confirmed eQTL, colocalisation rate of novel eQTL reported for lung-related phenotypes was twice as high as that of confirmed eQTL. Functional enrichment analysis of genes with novel eQTL in PAH highlighted immune-related processes, a suspected contributor to PAH. These potentially novel eQTL specific to or active in PAH could be useful in understanding genetic risk factors for other diseases that share common mechanisms with PAH.

Entities:  

Keywords:  blood; eQTL; expression quantitative trait locus; genetics; pulmonary arterial hypertension

Mesh:

Year:  2020        PMID: 33105808      PMCID: PMC7690609          DOI: 10.3390/genes11111247

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  35 in total

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