Evidence map›Paper›PMID 29361907›Full record

ArticleBMC genomics2018

Genetical genomics of growth in a chicken model.

Martin Johnsson, Rie Henriksen, Andrey Höglund, Jesper Fogelholm, Per Jensen, Dominic Wright

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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 48 citations in OpenAlex.

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  16. Characterization of Alternative Splicing (AS) Events during Chicken (Animals : an open access journal from MDPI · 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

6 authors at 1 institution in 2 countries.

Martin JohnssonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, EH25 9RG, UK.
Rie HenriksenAVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 581 83, Linköping, Sweden.
Andrey HöglundAVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 581 83, Linköping, Sweden.
Jesper FogelholmAVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 581 83, Linköping, Sweden.
Per JensenAVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 581 83, Linköping, Sweden.
Dominic WrightAVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 581 83, Linköping, Sweden. domwright@gmail.com.
Linköping University · SE

Funding

Carl Tryggers Stiftelse för Vetenskaplig Forskning 12:546European Research Council 322206Svenska Forskningsrådet Formas 221-2012-667Vetenskapsrådet 621-2011-4802
6 · The paper itself

Abstract

backgroundThe genetics underlying body mass and growth are key to understanding a wide range of topics in biology, both evolutionary and developmental. Body mass and growth traits are affected by many genetic variants of small effect. This complicates genetic mapping of growth and body mass. Experimental intercrosses between individuals from divergent populations allows us to map naturally occurring genetic variants for selected traits, such as body mass by linkage mapping. By simultaneously measuring traits and intermediary molecular phenotypes, such as gene expression, one can use integrative genomics to search for potential causative genes.

resultsIn this study, we use linkage mapping approach to map growth traits (N = 471) and liver gene expression (N = 130) in an advanced intercross of wild Red Junglefowl and domestic White Leghorn layer chickens. We find 16 loci for growth traits, and 1463 loci for liver gene expression, as measured by microarrays. Of these, the genes TRAK1, OSBPL8, YEATS4, CEP55, and PIP4K2B are identified as strong candidates for growth loci in the chicken. We also show a high degree of sex-specific gene-regulation, with almost every gene expression locus exhibiting sex-interactions. Finally, several trans-regulatory hotspots were found, one of which coincides with a major growth locus.

conclusionsThese findings not only serve to identify several strong candidates affecting growth, but also show how sex-specificity and local gene-regulation affect growth regulation in the chicken.

Indexed as

Quantitative Trait LociAnimalsBody Mass IndexBody WeightChickensFemaleGenomicsLiverMaleModels, GeneticTranscriptomeeQTLGene expressionGenetical genomicsGrowthLiverQTL

Identifiers

PMID29361907
PMCPMC5782384
OpenAlexW2789129687

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.