Evidence map›Paper›PMID 34456973›Full record

ArticleFrontiers in genetics2021

A Missense Mutation in the

Priscila Anchieta Trevisoli, Gabriel Costa Monteiro Moreira, Clarissa Boschiero, Aline Silva Mello Cesar, Juliana Petrini, Gabriel Rodrigues Alves Margarido, Mônica Corrêa Ledur, Gerson Barreto Mourão, Dorian Garrick, Luiz Lehmann Coutinho

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Priscila Anchieta TrevisoliAnimal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil.
Gabriel Costa Monteiro MoreiraAnimal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil.
Clarissa BoschieroAnimal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil.
Aline Silva Mello CesarAgri-Food Industry, Food and Nutrition Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil.
Juliana PetriniAnimal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil.
Gabriel Rodrigues Alves MargaridoDepartment of Genetics, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil.
Mônica Corrêa LedurEmbrapa Suínos e Aves, Concórdia, Brazil.
Gerson Barreto MourãoAnimal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil.
Dorian GarrickSchool of Agriculture, Massey University, Wellington, New Zealand.
Luiz Lehmann CoutinhoAnimal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil.
Universidade de São Paulo · BRBrazilian Agricultural Research Corporation · BRMassey University · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chicken is an important source of protein for human nutrition and a model system for growth and developmental biology. Although the genetic architecture of quantitative traits in meat-type chickens has been the subject of ongoing investigation, the identification of mutations associated with carcass traits of economic interest remains challenging. Therefore, our aim was to identify predicted deleterious mutation, which potentially affects protein function, and test if they were associated with carcass traits in chickens. For that, we performed a genome-wide association analysis (GWAS) for breast, thigh and drumstick traits in meat-type chickens and detected 19 unique quantitative trait loci (QTL). We then used: (1) the identified windows; (2) QTL for abdominal fat detected in a previous study with the same population and (3) previously obtained whole genome sequence data, to identify 18 predicted deleterious single nucleotide polymorphisms (SNPs) in those QTL for further association with breast, thigh, drumstick and abdominal fat traits. Using the additive model, a predicted deleterious SNP c.482C > T (SIFT score of 0.4) was associated (

Indexed as

abdominal fatchickenmeat-typeMYBPHpredicted deleterious SNPs

Identifiers

PMID34456973
PMCPMC8386115
OpenAlexW3188209212

What OpenQuestion holds

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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.