Evidence map›Paper›PMID 31694549›Full record

ArticleBMC genetics2019

Unraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach.

Gabriel Costa Monteiro Moreira, Mirele Daiana Poleti, Fábio Pértille, Clarissa Boschiero, Aline Silva Mello Cesar, Thaís Fernanda Godoy, Mônica Corrêa Ledur, James M Reecy, Dorian J Garrick, Luiz Lehmann Coutinho

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Frontiers in genetics · 2021
    Article
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

10 authors at 3 institutions in 3 countries.

Gabriel Costa Monteiro MoreiraDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Mirele Daiana PoletiUniversity of São Paulo (USP) / College of Animal Science and Food Engineering (FZEA), Pirassununga, São Paulo, Brazil.
Fábio PértilleDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Clarissa BoschieroDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Aline Silva Mello CesarDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Thaís Fernanda GodoyDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
Mônica Corrêa LedurEmbrapa Suínos e Aves, Concórdia, Santa Catarina, Brazil.
James M ReecyDepartment of Animal Science, Iowa State University (ISU), Ames, Iowa, USA.
Dorian J GarrickSchool of Agriculture, Massey University, Ruakura, Hamilton, New Zealand.
Luiz Lehmann CoutinhoDepartment of Animal Science, University of São Paulo, Piracicaba, SP, 13418-900, Brazil. llcoutinho@usp.br.ORCID 0000-0002-7266-8881
Universidade de São Paulo · BRIowa State University · USBrazilian Agricultural Research Corporation · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFeed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F

resultsFeed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F

conclusionsThe use of a high-density SNP array to identify QTL which were integrated with whole genome sequence signatures of selection allowed the identification of candidate genes and candidate causal variants. One novel QTL was detected providing additional information to understand the genetic architecture of body weight traits. We identified QTL for body weight traits, which were also associated with fatness in the same population. Our findings form a basis for further functional studies to elucidate the role of specific genes in regulating body weight and fat deposition in chickens, generating useful information for poultry breeding programs.

Indexed as

Quantitative Trait, HeritableAnimal FeedAnimalsBody WeightBreedingChickensEnergy MetabolismFemaleGenome-Wide Association StudyMaleMolecular Sequence AnnotationMuscle, SkeletalPolymorphism, Single NucleotideSelection, GeneticWhole Genome SequencingGenomic heritabilityGenotypic dataGWASperformance traits

Identifiers

PMID31694549
PMCPMC6836328
OpenAlexW2983744169

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.