Evidence map›Paper›PMID 41565764›Full record

ArticleCommunications biology2026

Molecular QTL are enriched for structural variants in a cattle long-read cohort.

Xena Marie Mapel, Alexander S Leonard, Hubert Pausch

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xena Marie Mapel *Animal Genomics, ETH Zurich, Zurich, Switzerland.
Alexander S Leonard *Animal Genomics, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-8425-5630
Hubert PauschAnimal Genomics, ETH Zurich, Zurich, Switzerland. hubert.pausch@usys.ethz.ch.ORCID http://orcid.org/0000-0002-0501-6760

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 204654
6 · The paper itself

Abstract

Sequencing cohorts with long-read technology is crucial to understand the impact of structural variants (SVs) on complex traits. Here, we obtain 4.86 terabases of HiFi reads with an average read N50 of 16.3 Kb from 120 Bos taurus taurus bulls, yielding a mean coverage depth of 13.5-fold. We genotype 23.8 M small variants (SNPs and short INDELs) and 79.3 k SVs to perform association testing with molecular phenotypes derived from a subset of 117 bulls with total RNA sequencing data from testis tissue. We identify 27.3 k molecular QTL (molQTL) including 316 for which SVs were the most significant variant. This corresponds to a 2.1- and 5.6-fold enrichment of SVs among expression and splicing QTL, respectively. When considering SVs in perfect LD with the lead small variant, the enrichment increases to 6.1- and 12-fold for expression and splicing QTL in testis, respectively. Imperfect genotyping for SVs limits our ability to detect all SV molQTL, suggesting that the true enrichment of SVs among molQTL may be even higher. These results demonstrate that SVs have a profound impact on gene expression and splicing variation but highlight the necessity of improved SV genotyping to fully leverage long-read sequencing cohorts for dissecting complex traits.

Indexed as

Genomic Structural VariationQuantitative Trait LociAnimalsCattleGenotypeMalePhenotypePolymorphism, Single NucleotideTestis

Identifiers

PMID41565764
PMCPMC12923665

What Socratic holds

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Registered trials

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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 Socratic graph.