Evidence map›Paper›PMID 35991540›Full record

ArticleFrontiers in genetics2022

Integrative Analysis Between Genome-Wide Association Study and Expression Quantitative Trait Loci Reveals Bovine Muscle Gene Expression Regulatory Polymorphisms Associated With Intramuscular Fat and Backfat Thickness.

Bárbara Silva-Vignato, Aline Silva Mello Cesar, Juliana Afonso, Gabriel Costa Monteiro Moreira, Mirele Daiana Poleti, Juliana Petrini, Ingrid Soares Garcia, Luan Gaspar Clemente, Gerson Barreto Mourão, Luciana Correia de Almeida Regitano and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  14. Mutations in theInternational journal of molecular sciences · 2024
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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

11 authors at 3 institutions in 2 countries.

Bárbara Silva-VignatoDepartment of Animal Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, Brazil.
Aline Silva Mello CesarDepartment of Agroindustry, Food, and Nutrition, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, Brazil.
Juliana AfonsoEmbrapa Pecuária Sudeste, São Carlos, Brazil.
Gabriel Costa Monteiro MoreiraDepartment of Animal Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, Brazil.
Mirele Daiana PoletiCollege of Animal Science and Food Engineering, University of São Paulo, Pirassununga, Brazil.
Juliana PetriniDepartment of Animal Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, Brazil.
Ingrid Soares GarciaDepartment of Animal Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, Brazil.
Luan Gaspar ClementeDepartment of Animal Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, Brazil.
Gerson Barreto MourãoDepartment of Animal Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, Brazil.
Luciana Correia de Almeida RegitanoEmbrapa Pecuária Sudeste, São Carlos, Brazil.
Luiz Lehmann CoutinhoDepartment of Animal Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, Brazil.
Brazilian Agricultural Research Corporation · BRUniversidade de São Paulo · BRUniversity of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the architecture of gene expression is fundamental to unravel the molecular mechanisms regulating complex traits in bovine, such as intramuscular fat content (IMF) and backfat thickness (BFT). These traits are economically important for the beef industry since they affect carcass and meat quality. Our main goal was to identify gene expression regulatory polymorphisms within genomic regions (QTL) associated with IMF and BFT in Nellore cattle. For that, we used RNA-Seq data from 193 Nellore steers to perform SNP calling analysis. Then, we combined the RNA-Seq SNP and a high-density SNP panel to obtain a new dataset for further genome-wide association analysis (GWAS), totaling 534,928 SNPs. GWAS was performed using the Bayes B model. Twenty-one relevant QTL were associated with our target traits. The expression quantitative trait loci (eQTL) analysis was performed using Matrix eQTL with the complete SNP dataset and 12,991 genes, revealing a total of 71,033 cis and 36,497 trans-eQTL (FDR < 0.05). Intersecting with QTL for IMF, we found 231 eQTL regulating the expression levels of 117 genes. Within those eQTL, three predicted deleterious SNPs were identified. We also identified 109 eQTL associated with BFT and affecting the expression of 54 genes. This study revealed genomic regions and regulatory SNPs associated with fat deposition in Nellore cattle. We highlight the transcription factors

Indexed as

backfat thicknesscarcass and meat qualityexpression quantitative trait lociintramuscular fat contentNellore cattleRNA-SeqSNP

Identifiers

PMID35991540
PMCPMC9386181
OpenAlexW4289731276

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.