Evidence map›Paper›PMID 25573652›Full record

ArticleBMC genomics2014

Linkage disequilibrium and haplotype block structure in a composite beef cattle breed.

Fabiana Barichello Mokry, Marcos Eli Buzanskas, Maurício de Alvarenga Mudadu, Daniela do Amaral Grossi, Roberto Hiroshi Higa, Ricardo Vieira Ventura, Andressa Oliveira de Lima, Mehdi Sargolzaei, Sarah Laguna Conceição Meirelles, Flávio Schramm Schenkel and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

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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

29 citing papers in PubMed, 105 citations in OpenAlex.

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  10. Long-range linkage disequilibrium in French beef cattle breeds.Genetics, selection, evolution : GSE · 2021
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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 5 institutions in 2 countries.

Fabiana Barichello Mokry
Marcos Eli Buzanskas
Maurício de Alvarenga Mudadu
Daniela do Amaral Grossi
Roberto Hiroshi Higa
Ricardo Vieira Ventura
Andressa Oliveira de Lima
Mehdi Sargolzaei
Sarah Laguna Conceição Meirelles
Flávio Schramm Schenkel
Marcos Vinicius Gualberto Barbosa da Silva
Simone Cristina Méo Niciura
Maurício Mello de Alencar
Danísio Munari
Luciana Correia de Almeida Regitano
Brazilian Agricultural Research Corporation · BRUniversity of Guelph · CAUniversidade Estadual Paulista (Unesp) · BRUniversidade Federal de São Carlos · BRUniversidade Federal de Lavras · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development of linkage disequilibrium (LD) maps and the characterization of haplotype block structure at the population level are useful parameters for guiding genome wide association (GWA) studies, and for understanding the nature of non-linear association between phenotypes and genes. The elucidation of haplotype block structure can reduce the information of several single nucleotide polymorphisms (SNP) into the information of a haplotype block, reducing the number of SNPs in a coherent way for consideration in GWA and genomic selection studies.

resultsThe maximum average LD, measured by r2 varied between 0.33 to 0.40 at a distance of < 2.5 kb, and the minimum average values of r2 varied between 0.05 to 0.07 at distances ranging from 400 to 500 kb, clearly showing that the average r2 reduced with the increase in SNP pair distances. The persistence of LD phase showed higher values at shorter genomic distances, decreasing with the increase in physical distance, varying from 0.96 at a distance of < 2.5 kb to 0.66 at a distance from 400 to 500 kb. A total of 78% of all SNPs were clustered into haplotype blocks, covering 1,57 Mb of the total autosomal genome size.

conclusionsThis study presented the first high density linkage disequilibrium map and haplotype block structure for a composite beef cattle population, and indicates that the high density SNP panel over 700 k can be used for genomic selection implementation and GWA studies for Canchim beef cattle.

Indexed as

HaplotypesLinkage DisequilibriumAnimalsBreedingCattleChromosome MappingPolymorphism, Single Nucleotide

Identifiers

PMID25573652
PMCPMC4243187
OpenAlexW2069661419

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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.