Evidence map›Paper›PMID 30988672›Full record

ArticleFrontiers in genetics2019

Genome-Wide SNP Discovery in Indigenous Cattle Breeds of South Africa.

Avhashoni A Zwane, Robert D Schnabel, Jesse Hoff, Ananyo Choudhury, Mahlako Linah Makgahlela, Azwihangwisi Maiwashe, Este Van Marle-Koster, Jeremy F Taylor

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  4. Review
  5. Study on Single Nucleotide Polymorphism ofFoods (Basel, Switzerland) · 2024
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  7. Review
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  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. SNP Diversity inGenes · 2020
    Article
  16. Article
  17. 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

8 authors at 5 institutions in 2 countries.

Avhashoni A ZwaneDepartment of Animal Breeding and Genetics, Agricultural Research Council-Animal Production, Irene, South Africa.
Robert D SchnabelDivision of Animal Sciences, University of Missouri, Columbia, MO, United States.
Jesse HoffDivision of Animal Sciences, University of Missouri, Columbia, MO, United States.
Ananyo ChoudhurySydney Brenner Institute of Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa.
Mahlako Linah MakgahlelaDepartment of Animal Breeding and Genetics, Agricultural Research Council-Animal Production, Irene, South Africa.
Azwihangwisi MaiwasheDepartment of Animal Breeding and Genetics, Agricultural Research Council-Animal Production, Irene, South Africa.
Este Van Marle-KosterDepartment of Animal and Wildlife Sciences, University of Pretoria, Pretoria, South Africa.
Jeremy F TaylorDivision of Animal Sciences, University of Missouri, Columbia, MO, United States.
University of Missouri · USAgricultural Research Council of South Africa · ZAUniversity of Pretoria · ZAUniversity of the Free State · ZAUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphism arrays have created new possibilities for performing genome-wide studies to detect genomic regions harboring sequence variants that affect complex traits. However, the majority of validated SNPs for which allele frequencies have been estimated are limited primarily to European breeds. The objective of this study was to perform SNP discovery in three South African indigenous breeds (Afrikaner, Drakensberger, and Nguni) using whole genome sequencing. DNA was extracted from blood and hair samples, quantified and prepared at 50 ng/μl concentration for sequencing at the Agricultural Research Council Biotechnology Platform using an Illumina HiSeq 2500. The fastq files were used to call the variants using the Genome Analysis Tool Kit. A total of 1,678,360 were identified as novel using Run 6 of 1000 Bull Genomes Project. Annotation of the identified variants classified them into functional categories. Within the coding regions, about 30% of the SNPs were non-synonymous substitutions that encode for alternate amino acids. The study of distribution of SNP across the genome identified regions showing notable differences in the densities of SNPs among the breeds and highlighted many regions of functional significance. Gene ontology terms identified genes such as

Indexed as

annotationgenesindigenous breedsnovel variantssequencing

Identifiers

PMID30988672
PMCPMC6452414
OpenAlexW2930287801

What OpenQuestion holds

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LicenceCC BY
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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.