Evidence map›Paper›PMID 30666567›Full record

ArticleJournal of applied genetics2019

Exome sequencing in genomic regions related to racing performance of Quarter Horses.

Guilherme L Pereira, Jessica M Malheiros, Alejandra M T Ospina, Luis Artur L Chardulo, Rogério A Curi

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Journal of applied genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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  5. eLife · 2022
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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

5 authors at 1 institution in 1 country.

Guilherme L PereiraDepartment of Animal Breeding and Nutrition, College of Veterinary and Animal Science, São Paulo State University (UNESP), Rubião Junior District, Botucatu, São Paulo, 18618-970, Brazil. guilherme.luis@unesp.br.
Jessica M MalheirosDepartment of Animal Science, College of Agriculture and Veterinary Science, São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil.
Alejandra M T OspinaDepartment of Animal Science, College of Agriculture and Veterinary Science, São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil.
Luis Artur L CharduloDepartment of Animal Breeding and Nutrition, College of Veterinary and Animal Science, São Paulo State University (UNESP), Rubião Junior District, Botucatu, São Paulo, 18618-970, Brazil.
Rogério A CuriDepartment of Animal Breeding and Nutrition, College of Veterinary and Animal Science, São Paulo State University (UNESP), Rubião Junior District, Botucatu, São Paulo, 18618-970, Brazil.
Universidade Estadual Paulista (Unesp) · BR

Funding

Funda??o de Amparo ? Pesquisa do Estado de S?o Paulo 2014/20207-1
6 · The paper itself

Abstract

Among horses selected for speed, the racing line of Quarter Horses is characterized by high performance in sprint races, with these animals being considered the fastest horses in the world. However, few studies have investigated in more detail the polymorphisms and genes that act on this trait. The objective of this study was to analyze exomes and UTRs in regions previously associated with this trait by GWAS in Quarter Horse racehorses with contrasting maximum speed index (SImax), prospecting causal gene polymorphisms that are related to or are in strong linkage disequilibrium with racing performance. Genotypic and phenotypic records from 360 animals of the racing line of Quarter Horses, previously genotyped with an SNP chip to obtain individual genomic estimated breeding values for performance, were used for the formation and sequencing of two groups of animals with contrasting racing performance (20 animals with superior SImax and 20 with inferior SImax). Two rapid runs were performed using two pools of libraries containing 20 and 19 samples randomly chosen among the 40 samples with contrasting SIs. A total of 1203 variants (1105 SNPs and 93 InDels) were identified in 33 regions of interest obtained previously by GWAS. Twenty-nine of the polymorphisms (24 SNPs and 5 InDels) were considered to be important based on three different and independent approaches: SIFT scores classified as deleterious (< 0.05), degree of impact on the consensus region of each polymorphism, and different allele frequencies identified by Fisher's exact test (p < 0.01) between the groups of horses with contrasting SImax. Thus, eight genes described as functional and positional candidates in previous studies (ABCG5, COL11A1, GEN1, SOCS3, MICAL1, SPTBN1, EPB41L3, and SHQ1) and nine new candidate genes (AKNA, ARMC2, FKBP15, LHX1, NOL10, TMEM192, ZFP37, FIG4, and HNRNPU), some of them with known function, were related to racing performance in Quarter Horses.

Indexed as

GenesGenomePolymorphism, Single NucleotideRunningSportsAnimalsExome SequencingHorsesDeletionInsertionPolymorphismsSNP

Identifiers

PMID30666567
OpenAlexW2913022744

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.