Summary
This study introduces THISTLE, an improved sQTL mapping method for detecting genetic variants that regulate alternative RNA splicing, and demonstrates that splicing represents a genetically distinct regulatory mechanism from expression level changes. Using brain transcriptomic data from 2,865 individuals, the authors show that the majority of sQTLs operate independently of eQTLs and contribute substantially to complex trait variation, with approximately 61% of trait-associated genes detected only through sQTL analysis. The findings establish RNA splicing as a largely unexplored but important layer of genetic regulation in complex disease aetiology.
UK applicability
This is fundamental genomic methodology research with no direct application to UK farming or soil systems. However, the improved understanding of genetic regulation mechanisms may eventually inform selective breeding programmes in UK livestock and crop improvement initiatives, though such applications remain distant and indirect.
Key measures
Splicing QTL (sQTL) mapping using THISTLE method; eQTL comparison; GWAS integration; number of genes with cis-sQTLs at P < 5 × 10⁻⁸; percentage of sQTLs distinct from eQTLs; number of genes associated with complex traits through sQTLs
Outcomes reported
The study identified 12,794 genes with cis-sQTLs (splicing quantitative trait loci) in brain tissue, of which approximately 61% were distinct from eQTLs. Integration of sQTL data with GWAS for 12 brain-related complex traits identified 244 genes associated through cis-sQTLs, with 61% undetectable using eQTL data alone.
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