Evidence map›Paper›PMID 29783939›Full record

ArticleBMC genomics2018

A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens.

Gabriel Costa Monteiro Moreira, Clarissa Boschiero, Aline Silva Mello Cesar, James M Reecy, Thaís Fernanda Godoy, Priscila Anchieta Trevisoli, Maurício E Cantão, Mônica Corrêa Ledur, Adriana Mércia Guaratini Ibelli, Jane de Oliveira Peixoto and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 69 citations in OpenAlex.

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  16. Frontiers in genetics · 2021
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  17. A Missense Mutation in theFrontiers in genetics · 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

13 authors at 6 institutions in 4 countries.

Gabriel Costa Monteiro MoreiraDepartment of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil.
Clarissa BoschieroDepartment of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil.
Aline Silva Mello CesarDepartment of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil.
James M ReecyDepartment of Animal Science, Iowa State University (ISU), Ames, Iowa, USA.
Thaís Fernanda GodoyDepartment of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil.
Priscila Anchieta TrevisoliDepartment of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil.
Maurício E CantãoEmbrapa Suínos e Aves, Concórdia, Santa Catarina, Brazil.
Mônica Corrêa LedurEmbrapa Suínos e Aves, Concórdia, Santa Catarina, Brazil.
Adriana Mércia Guaratini IbelliEmbrapa Suínos e Aves, Concórdia, Santa Catarina, Brazil.
Jane de Oliveira PeixotoEmbrapa Suínos e Aves, Concórdia, Santa Catarina, Brazil.
Ana Silvia Alves Meira Tavares MouraFMVZ / São Paulo State University, Botucatu, SP, Brazil.
Dorian GarrickSchool of Agriculture, Massey University, Ruakura, Hamilton, New Zealand.
Luiz Lehmann CoutinhoDepartment of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil. llcoutinho@usp.br.
Brazilian Agricultural Research Corporation · BRUniversidade de São Paulo · BRIowa State University · USMassey University · NZUniversidade Estadual Paulista (Unesp) · BRUniversity of Liège · BE

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 370620/2013-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/08704-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/21380-9Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/00616-7Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/00569-1
6 · The paper itself

Abstract

backgroundExcess fat content in chickens has a negative impact on poultry production. The discovery of QTL associated with fat deposition in the carcass allows the identification of positional candidate genes (PCGs) that might regulate fat deposition and be useful for selection against excess fat content in chicken's carcass. This study aimed to estimate genomic heritability coefficients and to identify QTLs and PCGs for abdominal fat (ABF) and skin (SKIN) traits in a broiler chicken population, originated from the White Plymouth Rock and White Cornish breeds.

resultsABF and SKIN are moderately heritable traits in our broiler population with estimates ranging from 0.23 to 0.33. Using a high density SNP panel (355,027 informative SNPs), we detected nine unique QTLs that were associated with these fat traits. Among these, four QTL were novel, while five have been previously reported in the literature. Thirteen PCGs were identified that might regulate fat deposition in these QTL regions: JDP2, PLCG1, HNF4A, FITM2, ADIPOR1, PTPN11, MVK, APOA1, APOA4, APOA5, ENSGALG00000000477, ENSGALG00000000483, and ENSGALG00000005043. We used sequence information from founder animals to detect 4843 SNPs in the 13 PCGs. Among those, two were classified as potentially deleterious and two as high impact SNPs.

conclusionsThis study generated novel results that can contribute to a better understanding of fat deposition in chickens. The use of high density array of SNPs increases genome coverage and improves QTL resolution than would have been achieved with low density. The identified PCGs were involved in many biological processes that regulate lipid storage. The SNPs identified in the PCGs, especially those predicted as potentially deleterious and high impact, may affect fat deposition. Validation should be undertaken before using these SNPs for selection against carcass fat accumulation and to improve feed efficiency in broiler chicken production.

Indexed as

Genome-Wide Association StudyGenomicsAdipose TissueAnimalsChickensPhenotypePolymorphism, Single NucleotideQuantitative Trait LociAbdominal fatFatnessGenomic heritabilityQTLSkin weight

Identifiers

PMID29783939
PMCPMC5963092
OpenAlexW2804264399

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.