Evidence map›Paper›PMID 26018558›Full record

ArticleMolecules and cells2015

Whole-Genome Resequencing Analysis of Hanwoo and Yanbian Cattle to Identify Genome-Wide SNPs and Signatures of Selection.

Jung-Woo Choi, Bong-Hwan Choi, Seung-Hwan Lee, Seung-Soo Lee, Hyeong-Cheol Kim, Dayeong Yu, Won-Hyong Chung, Kyung-Tai Lee, Han-Ha Chai, Yong-Min Cho and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Molecules and cells, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genome-Wide SNPs and InDels Characteristics of Three Chinese Cattle Breeds.Animals : an open access journal from MDPI · 2019
    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

11 authors at 1 institution in 1 country.

Jung-Woo ChoiAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Korea.
Bong-Hwan ChoiAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Korea.
Seung-Hwan LeeDivision of Animal and Dairy Science, Chung Nam National University, Daejeon 305-764, Korea.
Seung-Soo LeeAnimal Genetic and Breeding Division, National Institute of Animal Science, Cheon-An 331-808, Korea.
Hyeong-Cheol KimHanwoo Experiment Station, National Institute of Animal Science, RDA, Pyeongchang 232-950, Korea.
Dayeong YuAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Korea.
Won-Hyong ChungAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Korea.
Kyung-Tai LeeAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Korea.
Han-Ha ChaiAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Korea.
Yong-Min ChoAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Korea.
Dajeong LimAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Korea.
National Institute of Animal Science · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last 30 years, Hanwoo has been selectively bred to improve economically important traits. Hanwoo is currently the representative Korean native beef cattle breed, and it is believed that it shared an ancestor with a Chinese breed, Yanbian cattle, until the last century. However, these two breeds have experienced different selection pressures during recent decades. Here, we whole-genome sequenced 10 animals each of Hanwoo and Yanbian cattle (20 total) using the Illumina HiSeq 2000 sequencer. A total of approximately 3.12 and 3.07 billion sequence reads were mapped to the bovine reference sequence assembly (UMD 3.1) at an average of approximately 10.71- and 10.53-fold coverage for Hanwoo and Yanbian cattle, respectively. A total of 17,936,399 single nucleotide polymorphisms (SNPs) were yielded, of which 22.3% were found to be novel. By annotating the SNPs, we further retrieved numerous nonsynonymous SNPs that may be associated with traits of interest in cattle. Furthermore, we performed whole-genome screening to detect signatures of selection throughout the genome. We located several promising selective sweeps that are potentially responsible for economically important traits in cattle; the PPP1R12A gene is an example of a gene that potentially affects intramuscular fat content. These discoveries provide valuable genomic information regarding potential genomic markers that could predict traits of interest for breeding programs of these cattle breeds.

Indexed as

Polymorphism, Single NucleotideAnimalsBreedingCattleGenomeHigh-Throughput Nucleotide SequencingMyosin-Light-Chain PhosphataseQuantitative Trait LociSelection, GeneticSequence Analysis, DNAMyosin-Light-Chain PhosphataseHanwooSignature of selectionSNPWhole-genome sequencingYanbian cattle

Identifiers

PMID26018558
PMCPMC4443289
OpenAlexW2260131551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.