Evidence map›Paper›PMID 29934809›Full record

ArticleGenes & genomics2018

Multivariate genome-wide association studies on tenderness of Berkshire and Duroc pig breeds.

Dongsung Jang, Joon Yoon, Mengistie Taye, Wonseok Lee, Taehyung Kwon, Seunghyun Shim, Heebal Kim

Abstract read
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In one paragraph

Article in Genes & genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Single-Cell RNA Sequencing Reveals the Cellular Landscape ofInternational journal of molecular sciences · 2024
    Article
  3. Article
  4. Gut microbiota and meat quality.Frontiers in microbiology · 2022
    Review
  5. Article
  6. Article
  7. Article
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

7 authors at 2 institutions in 5 countries.

Dongsung JangInterdisciplinary Program in Agricultural Genomics, Seoul National University, Seoul, Republic of Korea.
Joon YoonDepartment of Natural Science, Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Mengistie TayeDepartment of Agricultural Biotechnology, Animal Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Wonseok LeeDepartment of Agricultural Biotechnology, Animal Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Taehyung KwonDepartment of Agricultural Biotechnology, Animal Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Seunghyun ShimLAS Inc., 16, Arayuk-ro, Gochon-eup, Gimpo-si, Gyeonggi-do, Republic of Korea.
Heebal KimDepartment of Natural Science, Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea. heebal@snu.ac.kr.ORCID 0000-0003-3064-1303
Seoul National University · KRShinshu University · JP

Funding

Cooperative Research Program for Agriculture Science & Technology Development Project No. PJ01111501
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have been steadily used for identification of genomic links to disease and various economical traits. Of those traits, a tenderness of pork is one of the most important factors in quality evaluation of consumers. In this study, we use two pig breed populations; Berkshire is known for its excellent meat quality and Duroc which is known for its high intramuscular fat content in meat. Multivariate genome-wide association studies (MV-GWAS) was executed to compare SNPs of two pigs to find out what genetic variants occur the tenderness of pork. Through MV-GWAS, we have identified candidate genes and the association of biological pathways involved in the tenderness of pork. From these direct and indirect associations, we displayed the usefulness of simple statistical models and their potential contribution to improving the meat quality of pork. We identified a candidate gene related to the tenderness in only Berkshire. Furthermore, several of the biological pathways involved in tenderness in both Berkshire and Duroc were found. The candidate genes identified in this study will be helpful to use them in breeding programs for improving pork quality.

Indexed as

Genome-Wide Association StudyMeatAnimalsBreedingGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait LociRed MeatSwineBerkshireDurocMultivariate GWASPork qualityTenderness

Identifiers

PMID29934809
OpenAlexW2790454398

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.