Evidence map›Paper›PMID 25688258›Full record

ArticleFrontiers in genetics2015

Assessment of autozygosity in Nellore cows (Bos indicus) through high-density SNP genotypes.

Ludmilla B Zavarez, Yuri T Utsunomiya, Adriana S Carmo, Haroldo H R Neves, Roberto Carvalheiro, Maja Ferenčaković, Ana M Pérez O'Brien, Ino Curik, John B Cole, Curtis P Van Tassell and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 92 citations in OpenAlex.

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  4. Genomic Analysis of Inbreeding Depression on Productive Traits in Rubia Galega Beef Cattle Breed.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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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

14 authors at 5 institutions in 4 countries.

Ludmilla B ZavarezDepartamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista Jaboticabal, São Paulo, Brazil.
Yuri T UtsunomiyaDepartamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista Jaboticabal, São Paulo, Brazil.
Adriana S CarmoDepartamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista Jaboticabal, São Paulo, Brazil.
Haroldo H R NevesGenSys Consultores Associados Porto Alegre, Rio Grande do Sul, Brazil ; Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista Jaboticabal, São Paulo, Brazil.
Roberto CarvalheiroDepartamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista Jaboticabal, São Paulo, Brazil.
Maja FerenčakovićDepartment of Animal Science, Faculty of Agriculture, University of Zagreb Zagreb, Croatia.
Ana M Pérez O'BrienDivision of Livestock Sciences, Department of Sustainable Agricultural Systems, BOKU - University of Natural Resources and Life Sciences Vienna, Austria.
Ino CurikDepartment of Animal Science, Faculty of Agriculture, University of Zagreb Zagreb, Croatia.
John B ColeAnimal Genomics and Improvement Laboratory, United States Department of Agriculture, Agricultural Research Service Beltsville, MD, USA.
Curtis P Van TassellAnimal Genomics and Improvement Laboratory, United States Department of Agriculture, Agricultural Research Service Beltsville, MD, USA.
Marcos V G B da SilvaBioinformatics and Animal Genomics Laboratory, Embrapa Dairy Cattle Juiz de Fora, Minas Gerais, Brazil.
Tad S SonstegardAnimal Genomics and Improvement Laboratory, United States Department of Agriculture, Agricultural Research Service Beltsville, MD, USA.
Johann SölknerDivision of Livestock Sciences, Department of Sustainable Agricultural Systems, BOKU - University of Natural Resources and Life Sciences Vienna, Austria.
José F GarciaDepartamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista Jaboticabal, São Paulo, Brazil ; Laboratório de Bioquímica e Biologia Molecular Animal, Departamento de Apoio, Produção e Saúde Animal, Faculdade de Medicina Veterinária de Araçatuba, UNESP - Univ Estadual Paulista Araçatuba, São Paulo, Brazil.
Universidade Estadual Paulista (Unesp) · BRAgricultural Research Service · USBOKU University · ATUniversity of Zagreb · HRBrazilian Agricultural Research Corporation · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of relatively low numbers of sires in cattle breeding programs, particularly on those for carcass and weight traits in Nellore beef cattle (Bos indicus) in Brazil, has always raised concerns about inbreeding, which affects conservation of genetic resources and sustainability of this breed. Here, we investigated the distribution of autozygosity levels based on runs of homozygosity (ROH) in a sample of 1,278 Nellore cows, genotyped for over 777,000 SNPs. We found ROH segments larger than 10 Mb in over 70% of the samples, representing signatures most likely related to the recent massive use of few sires. However, the average genome coverage by ROH (>1 Mb) was lower than previously reported for other cattle breeds (4.58%). In spite of 99.98% of the SNPs being included within a ROH in at least one individual, only 19.37% of the markers were encompassed by common ROH, suggesting that the ongoing selection for weight, carcass and reproductive traits in this population is too recent to have produced selection signatures in the form of ROH. Three short-range highly prevalent ROH autosomal hotspots (occurring in over 50% of the samples) were observed, indicating candidate regions most likely under selection since before the foundation of Brazilian Nellore cattle. The putative signatures of selection on chromosomes 4, 7, and 12 may be involved in resistance to infectious diseases and fertility, and should be subject of future investigation.

Indexed as

Bos indicuscattledisease resistancefertilityruns of homozygosityselection

Identifiers

PMID25688258
PMCPMC4310349
OpenAlexW2096001195

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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.