Evidence map›Paper›PMID 37685003›Full record

ArticleAnimals : an open access journal from MDPI2023

Genome-Wide Association Study to Identify QTL for Carcass Traits in Korean Hanwoo Cattle.

Mohammad Zahangir Alam, Md Azizul Haque, Asif Iqbal, Yun-Mi Lee, Jae-Jung Ha, Shil Jin, Byoungho Park, Nam-Young Kim, Jeong Il Won, Jong-Joo Kim

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  10. Evaluation of genomic breeding values and accuracy for carcass traits in Korean Hanwoo cows using whole-genome SNP chip panels.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  17. Unlocking the Transcriptional Control ofInternational journal of molecular sciences · 2024
    Article
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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

10 authors.

Mohammad Zahangir AlamDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0003-0483-3256
Md Azizul HaqueDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-5158-4558
Asif IqbalDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-4004-1646
Yun-Mi LeeDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0003-3023-7474
Jae-Jung HaGyeongbuk Livestock Research Institute, Yeongju 36052, Republic of Korea.ORCID 0000-0001-6785-6346
Shil JinHanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea.ORCID 0000-0003-1120-3631
Byoungho ParkHanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea.ORCID 0000-0001-6195-4519
Nam-Young KimHanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea.ORCID 0000-0002-2679-4983
Jeong Il WonHanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea.ORCID 0000-0003-3151-7144
Jong-Joo KimDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0001-9687-0075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify genetic associations with carcass traits in Hanwoo cattle using a genome-wide association study. A total of 9302 phenotypes were analyzed, and all animals were genotyped using the Illumina Bovine 50K v.3 SNP chip. Heritabilities for carcass weight (CWT), eye muscle area (EMA), backfat thickness (BF), and marbling score (MS) were estimated as 0.42, 0.36, 0.36, and 0.47, respectively, using the GBLUP model, and 0.47, 0.37, 0.36, and 0.42, respectively, using the Bayes B model. We identified 129 common SNPs using DGEBV and 118 common SNPs using GEBV on BTA6, BTA13, and BTA14, suggesting their potential association with the traits of interest. No common SNPs were found between the GBLUP and Bayes B methods when using residuals as a response variable in GWAS. The most promising candidate genes for CWT included

Indexed as

candidate genecarcass traitsgenome-wide association studyHanwooSNP

Identifiers

PMID37685003
PMCPMC10486602

What Socratic holds

Textmetadata
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 Socratic graph.