Evidence map›Paper›PMID 42127848›Full record

ArticlePoultry science2026

Detection of quantitative trait loci and genetic correlations of lipid reserves and production traits in aging laying hens.

Alexandre Hubert, Fabien Degalez, Nicolas Bedere, Coralie Allain, Lorry Becot, Quentin Berger, Thierry Burlot, Mathieu Emily, Alexandre Ferry, Laetitia Lagoutte and 8 more

Abstract read
In one paragraph

Article in Poultry science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

18 authors.

Alexandre HubertPEGASE, INRAE, Institut Agro, 65 rue de SAINT-BRIEUC, 35042 RENNES Cedex, 35590 Saint Gilles, France.
Fabien DegalezPEGASE, INRAE, Institut Agro, 65 rue de SAINT-BRIEUC, 35042 RENNES Cedex, 35590 Saint Gilles, France.
Nicolas BederePEGASE, INRAE, Institut Agro, 65 rue de SAINT-BRIEUC, 35042 RENNES Cedex, 35590 Saint Gilles, France.
Coralie AllainPEGASE, INRAE, Institut Agro, 65 rue de SAINT-BRIEUC, 35042 RENNES Cedex, 35590 Saint Gilles, France.
Lorry BecotNOVOGEN, 5 rue des Compagnons, 22960 Plédran, France.
Quentin BergerGABI, Université Paris-Saclay, INRAE, AgroParisTech, 78350 Jouy-en-Josas, France.
Thierry BurlotNOVOGEN, 5 rue des Compagnons, 22960 Plédran, France.
Mathieu EmilyL'Institut Agro, Université de Rennes, CNRS, IRMAR (Institut de Recherche Mathématique de Rennes)-UMR 6625, Rennes, France.
Alexandre FerryNOVOGEN, 5 rue des Compagnons, 22960 Plédran, France.
Laetitia LagouttePEGASE, INRAE, Institut Agro, 65 rue de SAINT-BRIEUC, 35042 RENNES Cedex, 35590 Saint Gilles, France.
Alexandre LangonPEGASE, INRAE, Institut Agro, 65 rue de SAINT-BRIEUC, 35042 RENNES Cedex, 35590 Saint Gilles, France.
Bénédicte LebezPEGASE, INRAE, Institut Agro, 65 rue de SAINT-BRIEUC, 35042 RENNES Cedex, 35590 Saint Gilles, France.
Marie-Pierre SanchezGABI, Université Paris-Saclay, INRAE, AgroParisTech, 78350 Jouy-en-Josas, France.
Thierry TriboutGABI, Université Paris-Saclay, INRAE, AgroParisTech, 78350 Jouy-en-Josas, France.
Frédérique PitelGenPhySE, Université de Toulouse, INRAE, ENVT, 31326 Castanet-Tolosan, France.
Tatiana ZerjalGABI, Université Paris-Saclay, INRAE, AgroParisTech, 78350 Jouy-en-Josas, France.
Sophie AllaisPEGASE, INRAE, Institut Agro, 65 rue de SAINT-BRIEUC, 35042 RENNES Cedex, 35590 Saint Gilles, France.
Sandrine LagarriguePEGASE, INRAE, Institut Agro, 65 rue de SAINT-BRIEUC, 35042 RENNES Cedex, 35590 Saint Gilles, France. Electronic address: sandrine.lagarrigue@institut-agro.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maintaining laying performance at advanced ages requires a better understanding of the genetic regulation of lipid metabolism, a process central to egg production through yolk formation, hormone synthesis, and energy balance. Abdominal fat weight (AFW) and yolk percentage (YP) are important indicators of lipid partitioning in layers, reflecting lipid storage and allocation to the egg, respectively. Despite their important role, their genetic architecture remains poorly characterized particularly during late laying stages. This study investigated the genomic architecture of AFW and YP, and their genetic relationships with egg weight (EW) and laying rate (LR) in hens at 90 weeks of age. Liver weight (LW) was also analyzed at the same age, given its central role in lipid synthesis as well as blood glycaemia (GLY) and ketonemia (KET) as metabolic indicators of energy balance. Analyses were performed in an experimental population of 7000 Rhode Island Red hens genotyped with a 60k SNP array and imputed to 600k. Genome-wide association studies (GWAS) were combined with linkage disequilibrium (LD)-based QTL refinement, and the resulting signals were integrated with liver expression quantitative trait loci (eQTLs) derived from age-matched gene expression data. Heritability estimates for AFW and YP were high (0.50 and 0.51), indicating that genetic factors explain a substantial proportion of phenotypic variation at advanced ages. AFW also exhibited markedly greater phenotypic variability than most of the other traits, consistent with a larger magnitude of genetic variation. Positive genetic correlations of AFW and YP with LR (0.26 and 0.27) suggest that lipid reserves are also associated with laying persistence, whereas negative correlations with EW (-0.15 and -0.54) point to potential trade-offs between lipid allocation and egg mass. KET, reflecting circulating ketone body levels, was negatively correlated with LR (-0.32) and LW (-0.29), KET can be interpreted as a marker of metabolic stress, which may compromise laying performance. Finally, the strong genetic correlation between LW and YP (0.48) supports a shared genetic architecture between hepatic lipid synthesis and yolk formation. GWAS identified several suggestive QTLs for lipid-related traits. LD-based refinement and liver eQTLs integration allowed to drastically reduce the number of candidate genes and highlight positional and regulatory candidates. Overall, these findings establish a basis for future functional investigations and for breeding programs designed to improve metabolic efficiency and sustain reproductive performance over time.

Indexed as

ChickensLipid MetabolismQuantitative Trait LociAgingAnimalsFemaleGenome-Wide Association StudyLiverAdvanced ageGenetic associationLaying henLipid-related traitProduction trait

Identifiers

PMID42127848
PMCPMC13196557

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.