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Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed

  • NHLBI TOPMed Consortium Multi-Omics Working Group32
  • , NHLBI TOPMed Consortium32§
  • University of Michigan, Ann Arbor
  • Stanford University
  • Harvard University
  • University of California at San Francisco
  • University of Vermont
  • The Broad Institute of MIT and Harvard
  • National Institutes of Health
  • Framingham Heart Study
  • Fred Hutchinson Cancer Research Center
  • Icahn School of Medicine at Mount Sinai
  • University of Massachusetts Medical School
  • Boston University
  • Duke University
  • University of Virginia
  • University of Washington
  • The Lundquist Institute
  • Johns Hopkins University
  • Loyola University Chicago
  • University of Colorado Anschutz Medical Campus
  • Mayo Clinic Arizona
  • Cleveland Clinic Foundation

Research output: Contribution to journalArticlepeer-review

Abstract

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood (n = 6454) and lung (n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank-derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.

Original languageEnglish
Pages (from-to)eadx2989
JournalScience
Volume393
Issue number6808
DOIs
StatePublished - Jul 16 2026

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