Evidence map›Paper›PMID 38689208›Full record

ArticleBMC genomics2024

Cis-eQTLs in seven duck tissues identify novel candidate genes for growth and carcass traits.

Wentao Cai, Jian Hu, Yunsheng Zhang, Zhanbao Guo, Zhengkui Zhou, Shuisheng Hou

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  6. SNP-Based and Kmer-Based eQTL Analysis Using Transcriptome Data.Animals : an open access journal from MDPI · 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

6 authors at 1 institution in 1 country.

Wentao CaiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Jian HuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yunsheng ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Zhanbao GuoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Zhengkui ZhouInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Shuisheng HouInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. houss@263.net.
Chinese Academy of Agricultural Sciences · CN

Funding

China Agriculture Research System of MOF and MARA CARS-42Key Technologies Research on New Breed of Broiler Poultry by Integration of Breeding, Reproduction and Promotion 2021CXGC010805-02National Key Research and Development Project of China 2023YFD1300301Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences CXGC-IAS-09Taishan Industry Leadership Talent Project of Shandong province in China TSCY20190108
6 · The paper itself

Abstract

backgroundExpression quantitative trait loci (eQTL) studies aim to understand the influence of genetic variants on gene expression. The colocalization of eQTL mapping and GWAS strategy could help identify essential candidate genes and causal DNA variants vital to complex traits in human and many farm animals. However, eQTL mapping has not been conducted in ducks. It is desirable to know whether eQTLs within GWAS signals contributed to duck economic traits.

resultsIn this study, we conducted an eQTL analysis using publicly available RNA sequencing data from 820 samples, focusing on liver, muscle, blood, adipose, ovary, spleen, and lung tissues. We identified 113,374 cis-eQTLs for 12,266 genes, a substantial fraction 39.1% of which were discovered in at least two tissues. The cis-eQTLs of blood were less conserved across tissues, while cis-eQTLs from any tissue exhibit a strong sharing pattern to liver tissue. Colocalization between cis-eQTLs and genome-wide association studies (GWAS) of 50 traits uncovered new associations between gene expression and potential loci influencing growth and carcass traits. SRSF4, GSS, and IGF2BP1 in liver, NDUFC2 in muscle, ELF3 in adipose, and RUNDC1 in blood could serve as the candidate genes for duck growth and carcass traits.

conclusionsOur findings highlight substantial differences in genetic regulation of gene expression across duck primary tissues, shedding light on potential mechanisms through which candidate genes may impact growth and carcass traits. Furthermore, this availability of eQTL data offers a valuable resource for deciphering further genetic association signals that may arise from ongoing extensive endeavors aimed at enhancing duck production traits.

Indexed as

DucksGenome-Wide Association StudyQuantitative Trait LociAnimalsOrgan SpecificityPhenotypePolymorphism, Single NucleotideCarcass traitsColocalizationDuckeQTLsGrowthGWAS

Identifiers

PMID38689208
PMCPMC11061949
OpenAlexW4396559145

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.