Evidence map›Paper›PMID 28683716›Full record

ArticleGenetics, selection, evolution : GSE2017

Putative enhancer sites in the bovine genome are enriched with variants affecting complex traits.

Min Wang, Timothy P Hancock, Iona M MacLeod, Jennie E Pryce, Benjamin G Cocks, Benjamin J Hayes

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 30 citations in OpenAlex.

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  4. Investigating the Causal Effects of Exercise-Induced Genes on Sarcopenia.International journal of molecular sciences · 2024
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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Min WangSchool of Applied Systems Biology, La Trobe University, Bundoora, VIC, 3083, Australia. 18589817@students.latrobe.edu.au.ORCID 0000-0003-2464-2182
Timothy P HancockAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia.
Iona M MacLeodAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia.
Jennie E PryceSchool of Applied Systems Biology, La Trobe University, Bundoora, VIC, 3083, Australia.
Benjamin G CocksSchool of Applied Systems Biology, La Trobe University, Bundoora, VIC, 3083, Australia.
Benjamin J HayesAgriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia.
Agriculture Victoria · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnhancers are non-coding DNA sequences, which when they are bound by specific proteins increase the level of gene transcription. Enhancers activate unique gene expression patterns within cells of different types or under different conditions. Enhancers are key contributors to gene regulation, and causative variants that affect quantitative traits in humans and mice have been located in enhancer regions. However, in the bovine genome, enhancers as well as other regulatory elements are not yet well defined. In this paper, we sought to improve the annotation of bovine enhancer regions by using publicly available mammalian enhancer information. To test if the identified putative bovine enhancer regions are enriched with functional variants that affect milk production traits, we performed genome-wide association studies using imputed whole-genome sequence data followed by meta-analysis and enrichment analysis.

resultsWe produced a library of candidate bovine enhancer regions by using publicly available bovine ChIP-Seq enhancer data in combination with enhancer data that were identified based on sequence homology with human and mouse enhancer databases. We found that imputed whole-genome sequence variants associated with milk production traits in 16,581 dairy cattle were enriched with enhancer regions that were marked by bovine-liver H3K4me3 and H3K27ac histone modifications from both permutation tests and gene set enrichment analysis. Enhancer regions that were identified based on sequence homology with human and mouse enhancer regions were not as strongly enriched with trait-associated sequence variants as the bovine ChIP-Seq candidate enhancer regions. The bovine ChIP-Seq enriched enhancer regions were located near genes and quantitative trait loci that are associated with pregnancy, growth, disease resistance, meat quality and quantity, and milk quality and quantity traits in dairy and beef cattle.

conclusionsOur results suggest that sequence variants within enhancer regions that are located in bovine non-coding genomic regions contribute to the variation in complex traits. The level of enrichment was higher in bovine-specific enhancer regions that were identified by detecting histone modifications H3K4me3 and H3K27ac in bovine liver tissues than in enhancer regions identified by sequence homology with human and mouse data. These results highlight the need to use bovine-specific experimental data for the identification of enhancer regions.

Indexed as

AnimalsCattleEnhancer Elements, GeneticGenomeGenome-Wide Association StudyHumansLactationMiceMilkPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID28683716
PMCPMC5499214
OpenAlexW2729655313

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.