Genetic variants associated mRNA stability in lung.

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Expression quantitative trait loci (eQTLs) analyses link genetic variants to gene expression, aiding in understanding genetic trait mechanisms.
• eQTLs can influence gene expression via transcriptional or post-transcriptional regulation.
• Distinguishing these regulatory mechanisms is crucial for a comprehensive understanding.

Purpose of the Study:

• To identify genetic variants associated with mRNA stability (stability quantitative trait loci, stQTLs).
• To differentiate between transcriptional and post-transcriptional regulation of gene expression.
• To provide a more mechanistic understanding of the association between genetic variants and gene expression levels.

Main Methods:

• Developed a computational framework to infer mRNA stability from RNA-seq data.
• Performed association analysis to identify stQTLs.
• Utilized Genotype-Tissue Expression (GTEx) lung RNA-Seq data for analysis.

Main Results:

• Identified 142,801 stQTLs for 3942 genes and 186,132 eQTLs for 4751 genes.
• stQTLs were enriched in coding sequences (CDS) and 3' untranslated regions (3'UTR).
• stQTLs showed greater overlap with RNA binding protein (RBP) and microRNA (miRNA) binding sites compared to eQTLs.

Conclusions:

• Simultaneous identification of stQTLs and eQTLs enhances mechanistic insights into genetic variant associations with gene expression.
• stQTL analysis offers a novel approach to dissect post-transcriptional regulatory mechanisms.
• This framework contributes to a more nuanced understanding of gene regulation and genetic traits.