Evidence map›Paper›PMID 38355307›Full record

ArticleGenome research2024

Pangenome-genotyped structural variation improves molecular phenotype mapping in cattle.

Alexander S Leonard, Xena M Mapel, Hubert Pausch

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In one paragraph

Article in Genome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  20. Graphical pangenomics-enabled characterization of structural variant impact on gene expression in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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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.

Alexander S LeonardAnimal Genomics, ETH Zurich, 8092 Zurich, Switzerland alleonard@ethz.ch hubert.pausch@usys.ethz.ch.ORCID 0000-0001-8425-5630
Xena M MapelAnimal Genomics, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0002-7501-578X
Hubert PauschAnimal Genomics, ETH Zurich, 8092 Zurich, Switzerland alleonard@ethz.ch hubert.pausch@usys.ethz.ch.ORCID 0000-0002-0501-6760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expression and splicing quantitative trait loci (e/sQTL) are large contributors to phenotypic variability. Achieving sufficient statistical power for e/sQTL mapping requires large cohorts with both genotypes and molecular phenotypes, and so, the genomic variation is often called from short-read alignments, which are unable to comprehensively resolve structural variation. Here we build a pangenome from 16 HiFi haplotype-resolved cattle assemblies to identify small and structural variation and genotype them with PanGenie in 307 short-read samples. We find high (>90%) concordance of PanGenie-genotyped and DeepVariant-called small variation and confidently genotype close to 21 million small and 43,000 structural variants in the larger population. We validate 85% of these structural variants (with MAF > 0.1) directly with a subset of 25 short-read samples that also have medium coverage HiFi reads. We then conduct e/sQTL mapping with this comprehensive variant set in a subset of 117 cattle that have testis transcriptome data, and find 92 structural variants as causal candidates for eQTL and 73 for sQTL. We find that roughly half of the top associated structural variants affecting expression or splicing are transposable elements, such as SV-eQTL for

Indexed as

Quantitative Trait LociRNA SplicingAnimalsCattleGenomic Structural VariationGenotypeLinkage DisequilibriumMalePhenotype

Identifiers

PMID38355307
PMCPMC10984387

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.