Evidence map›Paper›PMID 30134820›Full record

ArticleGenetics, selection, evolution : GSE2018

Misidentification of runs of homozygosity islands in cattle caused by interference with copy number variation or large intermarker distances.

Wilson Nandolo, Yuri T Utsunomiya, Gábor Mészáros, Maria Wurzinger, Negar Khayadzadeh, Rafaela B P Torrecilha, Henry A Mulindwa, Timothy N Gondwe, Patrik Waldmann, Maja Ferenčaković and 6 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.1field-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

25 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
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  5. Analysis of Runs of Homozygosity in Aberdeen Angus Cattle.Animals : an open access journal from MDPI · 2024
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  12. Genome-wide survey on three local horse populations with a focus on runs of homozygosity pattern.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2022
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  18. Impaired Reproductive Function in Equines: From Genetics to Genomics.Animals : an open access journal from MDPI · 2021
    Review
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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

16 authors at 6 institutions in 6 countries.

Wilson NandoloDivision of Livestock Sciences (NUWI), University of Natural Resources and Life Sciences, Gregor-Mendel Strasse 33, 1180, Vienna, Austria.
Yuri T UtsunomiyaSchool of Agricultural and Veterinarian Sciences, Jaboticabal, Department of Preventive Veterinary Medicine and Animal Reproduction, São Paulo State University (UNESP), São Paulo, Brazil.
Gábor MészárosDivision of Livestock Sciences (NUWI), University of Natural Resources and Life Sciences, Gregor-Mendel Strasse 33, 1180, Vienna, Austria. gabor.meszaros@boku.ac.at.ORCID http://orcid.org/0000-0002-5937-0060
Maria WurzingerDivision of Livestock Sciences (NUWI), University of Natural Resources and Life Sciences, Gregor-Mendel Strasse 33, 1180, Vienna, Austria.
Negar KhayadzadehDivision of Livestock Sciences (NUWI), University of Natural Resources and Life Sciences, Gregor-Mendel Strasse 33, 1180, Vienna, Austria.
Rafaela B P TorrecilhaSchool of Agricultural and Veterinarian Sciences, Jaboticabal, Department of Preventive Veterinary Medicine and Animal Reproduction, São Paulo State University (UNESP), São Paulo, Brazil.
Henry A MulindwaNational Livestock Resources Research Institute, P.O Box 96, Tororo, Uganda.
Timothy N GondweLilongwe University of Agriculture and Natural Resources, P. O. Box 219, Lilongwe, Malawi.
Patrik WaldmannDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Box 7023, 750 07, Uppsala, Sweden.
Maja FerenčakovićDepartment of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska cesta 25, 10000, Zagreb, Croatia.
José F GarciaSchool of Agricultural and Veterinarian Sciences, Jaboticabal, Department of Preventive Veterinary Medicine and Animal Reproduction, São Paulo State University (UNESP), São Paulo, Brazil.
Benjamin D RosenAnimal Genomics and Improvement Laboratory, Beltsville, MD, 20705-2350, USA.
Derek BickhartAnimal Genomics and Improvement Laboratory, Beltsville, MD, 20705-2350, USA.
Curt P van TassellAnimal Genomics and Improvement Laboratory, Beltsville, MD, 20705-2350, USA.
Ino CurikDepartment of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska cesta 25, 10000, Zagreb, Croatia.
Johann SölknerDivision of Livestock Sciences (NUWI), University of Natural Resources and Life Sciences, Gregor-Mendel Strasse 33, 1180, Vienna, Austria.
BOKU University · ATUniversidade Estadual Paulista (Unesp) · BRLilongwe University of Agriculture and Natural Resources · MWUniversity of Zagreb · HRNational Agricultural Research Institute · UGSwedish University of Agricultural Sciences · SE

Funding

OeAD-GmbH HR 21/2016
6 · The paper itself

Abstract

backgroundRuns of homozygosity (ROH) islands are stretches of homozygous sequence in the genome of a large proportion of individuals in a population. Algorithms for the detection of ROH depend on the similarity of haplotypes. Coverage gaps and copy number variants (CNV) may result in incorrect identification of such similarity, leading to the detection of ROH islands where none exists. Misidentified hemizygous regions will also appear as homozygous based on sequence variation alone. Our aim was to identify ROH islands influenced by marker coverage gaps or CNV, using Illumina BovineHD BeadChip (777 K) single nucleotide polymorphism (SNP) data for Austrian Brown Swiss, Tyrol Grey and Pinzgauer cattle.

methodsROH were detected using clustering, and ROH islands were determined from population inbreeding levels for each marker. CNV were detected using a multivariate copy number analysis method and a hidden Markov model. SNP coverage gaps were defined as genomic regions with intermarker distances on average longer than 9.24 kb. ROH islands that overlapped CNV regions (CNVR) or SNP coverage gaps were considered as potential artefacts. Permutation tests were used to determine if overlaps between CNVR with copy losses and ROH islands were due to chance. Diversity of the haplotypes in the ROH islands was assessed by haplotype analyses.

resultsIn Brown Swiss, Tyrol Grey and Pinzgauer, we identified 13, 22, and 24 ROH islands covering 26.6, 389.0 and 35.8 Mb, respectively, and we detected 30, 50 and 71 CNVR derived from CNV by using both algorithms, respectively. Overlaps between ROH islands, CNVR or coverage gaps occurred for 7, 14 and 16 ROH islands, respectively. About 37, 44 and 52% of the ROH islands coverage in Brown Swiss, Tyrol Grey and Pinzgauer, respectively, were affected by copy loss. Intersections between ROH islands and CNVR were small, but significantly larger compared to ROH islands at random locations across the genome, implying an association between ROH islands and CNVR. Haplotype diversity for reliable ROH islands was lower than for ROH islands that intersected with copy loss CNVR.

conclusionsOur findings show that a significant proportion of the ROH islands in the bovine genome are artefacts due to CNV or SNP coverage gaps.

Indexed as

DNA Copy Number VariationsHomozygoteAnimalsCattleGenotyping TechniquesHaplotypesPolymorphism, Single Nucleotide

Identifiers

PMID30134820
PMCPMC6106898
OpenAlexW2888022953

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.