ArticleCell genomics2024
Trans-eQTL mapping in gene sets identifies network effects of genetic variants.
Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Trans-eQTL mapping prioritises USP18 as a negative regulator of interferon response at a lupus risk locus.Nature communications · 2025Pooled it
- Genetic landscape of an in vivo protein interactome.Nature genetics · 2026Article
- Multi-ancestry modeling improves fine-mapping resolution, protein prediction, and discovery for proteome-wide association studies.medRxiv : the preprint server for health sciences · 2026Article
- Regulatory network topology and the genetic architecture of gene expression.Cell genomics · 2026Article
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.Research square · 2026Article
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.medRxiv : the preprint server for health sciences · 2026Article
- Focus on single-gene effects limits discovery and interpretation of complex-trait-associated variants.American journal of human genetics · 2026Article
- Associations of genetic variants with gene expression factors reveal biological pathways underlying complex traits.American journal of human genetics · 2026Article
- Genomics of drug target prioritization for complex diseases.Nature reviews. Genetics · 2026Review
- Protein-protein interactions shape trans-regulatory impact of genetic variation on protein expression and complex traits.Nature genetics · 2026Article
- Transcription factors and candidate functional SNPs associated with variation in fatty acid composition from skeletal muscle of pigs.Animal genetics · 2025Article
- Dissecting the genetic architecture of circadian rhythms in human tissues using a quantitative circadian deviation score.Genome biology · 2025Article
- Refining the resolution of the yeast genotype-phenotype map using single-cell RNA-sequencing.eLife · 2025Article
- Improved chromatin QTL mapping with CACTI.bioRxiv : the preprint server for biology · 2025Article
- Expanding scope of genetic studies in the era of biobanks.Human molecular genetics · 2025Article
- Decoding eQTLs: unraveling their role in spondyloarthropathies pathogenesis and potential therapeutics.Frontiers in immunology · 2025Review
- ADELLE: A global testing method for trans-eQTL mapping.PLoS genetics · 2025Article
- A brief guide to analyzing expression quantitative trait loci.Molecules and cells · 2024Review
- Cis- and trans-eQTL TWASs of breast and ovarian cancer identify more than 100 susceptibility genes in the BCAC and OCAC consortia.American journal of human genetics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Nearly all trait-associated variants identified in genome-wide association studies (GWASs) are noncoding. The cis regulatory effects of these variants have been extensively characterized, but how they affect gene regulation in trans has been the subject of fewer studies because of the difficulty in detecting trans-expression quantitative loci (eQTLs). We developed trans-PCO for detecting trans effects of genetic variants on gene networks. Our simulations demonstrate that trans-PCO substantially outperforms existing trans-eQTL mapping methods. We applied trans-PCO to two gene expression datasets from whole blood, DGN (N = 913) and eQTLGen (N = 31,684), and identified 14,985 high-quality trans-eSNP-module pairs associated with 197 co-expression gene modules and biological processes. We performed colocalization analyses between GWAS loci of 46 complex traits and the trans-eQTLs. We demonstrated that the identified trans effects can help us understand how trait-associated variants affect gene regulatory networks and biological pathways.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.