Evidence map›Paper›PMID 34051743›Full record

ArticleBMC genomics2021

Detection of copy number variants in African goats using whole genome sequence data.

Wilson Nandolo, Gábor Mészáros, Maria Wurzinger, Liveness J Banda, Timothy N Gondwe, Henry A Mulindwa, Helen N Nakimbugwe, Emily L Clark, M Jennifer Woodward-Greene, Mei Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  5. Cataloging copy number variation regions and allied diversity in goat breeds spanning pan India.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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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

15 authors at 6 institutions in 5 countries.

Wilson NandoloUniversity of Natural Resources and Life Sciences, Vienna, Austria.
Gábor MészárosUniversity of Natural Resources and Life Sciences, Vienna, Austria.
Maria WurzingerUniversity of Natural Resources and Life Sciences, Vienna, Austria.
Liveness J BandaLilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi.
Timothy N GondweLilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi.
Henry A MulindwaNational Livestock Resources Research Institute, Tororo, Uganda.
Helen N NakimbugweKyambogo University, Kyambogo, Uganda.
Emily L ClarkThe Roslin Institute, University of Edinburgh, Edinburgh, Scotland, UK.
M Jennifer Woodward-GreeneAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
Mei LiuAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
VarGoats Consortium
George E LiuAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
Curtis P Van TassellAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
Benjamin D RosenAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA. Ben.Rosen@usda.gov.ORCID http://orcid.org/0000-0001-9395-8346
Johann SölknerUniversity of Natural Resources and Life Sciences, Vienna, Austria.
Agricultural Research Service · USBOKU University · ATLilongwe University of Agriculture and Natural Resources · MWKyambogo University · UGNational Agricultural Research Institute · UGRoslin Institute · GB

Funding

Agricultural Research Service 0500-00093-001-00-DAgricultural Research Service 8042-31000-001-02S
6 · The paper itself

Abstract

backgroundCopy number variations (CNV) are a significant source of variation in the genome and are therefore essential to the understanding of genetic characterization. The aim of this study was to develop a fine-scaled copy number variation map for African goats. We used sequence data from multiple breeds and from multiple African countries.

resultsA total of 253,553 CNV (244,876 deletions and 8677 duplications) were identified, corresponding to an overall average of 1393 CNV per animal. The mean CNV length was 3.3 kb, with a median of 1.3 kb. There was substantial differentiation between the populations for some CNV, suggestive of the effect of population-specific selective pressures. A total of 6231 global CNV regions (CNVR) were found across all animals, representing 59.2 Mb (2.4%) of the goat genome. About 1.6% of the CNVR were present in all 34 breeds and 28.7% were present in all 5 geographical areas across Africa, where animals had been sampled. The CNVR had genes that were highly enriched in important biological functions, molecular functions, and cellular components including retrograde endocannabinoid signaling, glutamatergic synapse and circadian entrainment.

conclusionsThis study presents the first fine CNV map of African goat based on WGS data and adds to the growing body of knowledge on the genetic characterization of goats.

Indexed as

DNA Copy Number VariationsGoatsAfricaAnimalsGenomeAfrican goatsCopy number variationsWhole genome sequence

Identifiers

PMID34051743
PMCPMC8164248
OpenAlexW3151716574

What OpenQuestion holds

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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 OpenQuestion graph.