Evidence map›Paper›PMID 25178379›Full record

ArticleAsian-Australasian journal of animal sciences2014

Copy number deletion has little impact on gene expression levels in racehorses.

Kyung-Do Park, Hyeongmin Kim, Jae Yeon Hwang, Chang-Kyu Lee, Kyoung-Tag Do, Heui-Soo Kim, Young-Mok Yang, Young-Jun Kwon, Jaemin Kim, Hyeon Jeong Kim and 6 more

Open access · goldAbstract read
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. A Genome-wide Scan for Selective Sweeps in Racing Horses.Asian-Australasian journal of animal sciences · 2015
    Article
  4. Genetic Susceptibility to Rhodococcus equi.Journal of veterinary internal medicine
    Review
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

16 authors at 3 institutions in 1 country.

Kyung-Do ParkGenomic Informatics Center, Hankyong National University, Anseong 456-749, Korea.
Hyeongmin KimDepartment of Agricultural Biotechnology, Animal Biotechnology Major, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 151-921, Korea .
Jae Yeon HwangDepartment of Agricultural Biotechnology, Animal Biotechnology Major, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 151-921, Korea .
Chang-Kyu LeeDepartment of Agricultural Biotechnology, Animal Biotechnology Major, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 151-921, Korea .
Kyoung-Tag DoGenomic Informatics Center, Hankyong National University, Anseong 456-749, Korea.
Heui-Soo KimDepartment of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea .
Young-Mok YangDepartment of Pathology, School of Medicine, and Institute of Biomedical Science and Technology, Konkuk University, Seoul 143-701, Korea .
Young-Jun KwonInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Korea .
Jaemin KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Korea .
Hyeon Jeong KimCHO & KIM genomics, Seoul 151-919, Korea .
Ki-Duk SongGenomic Informatics Center, Hankyong National University, Anseong 456-749, Korea.
Jae-Don OhGenomic Informatics Center, Hankyong National University, Anseong 456-749, Korea.
Heebal KimDepartment of Agricultural Biotechnology, Animal Biotechnology Major, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 151-921, Korea . ; CHO & KIM genomics, Seoul 151-919, Korea .
Byung-Wook ChoDepartment of Animal Science, College of Life Sciences, Pusan National University, Miryang 627-702, Korea .
Seoae ChoCHO & KIM genomics, Seoul 151-919, Korea .
Hak-Kyo LeeGenomic Informatics Center, Hankyong National University, Anseong 456-749, Korea.
Hankyong National University · KRSeoul National University · KRPusan National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copy number variations (CNVs), important genetic factors for study of human diseases, may have as large of an effect on phenotype as do single nucleotide polymorphisms. Indeed, it is widely accepted that CNVs are associated with differential disease susceptibility. However, the relationships between CNVs and gene expression have not been characterized in the horse. In this study, we investigated the effects of copy number deletion in the blood and muscle transcriptomes of Thoroughbred racing horses. We identified a total of 1,246 CNVs of deletion polymorphisms using DNA re-sequencing data from 18 Thoroughbred racing horses. To discover the tendencies between CNV status and gene expression levels, we extracted CNVs of four Thoroughbred racing horses of which RNA sequencing was available. We found that 252 pairs of CNVs and genes were associated in the four horse samples. We did not observe a clear and consistent relationship between the deletion status of CNVs and gene expression levels before and after exercise in blood and muscle. However, we found some pairs of CNVs and associated genes that indicated relationships with gene expression levels: a positive relationship with genes responsible for membrane structure or cytoskeleton and a negative relationship with genes involved in disease. This study will lead to conceptual advances in understanding the relationship between CNVs and global gene expression in the horse.

Indexed as

Copy Number VariationGenome-wide ExpressionHorseThoroughbred

Identifiers

PMID25178379
PMCPMC4150202
OpenAlexW2125265763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.