Evidence map›Paper›PMID 40144889›Full record

ArticleFrontiers in genetics2025

Genetic determinism of cortisol levels in pig.

Elena Terenina, Nathalie Iannuccelli, Yvon Billon, Katia Fève, Laure Gress, Darya Bazovkina, Pierre Mormede, Catherine Larzul

Abstract read
In one paragraph

Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Elena TereninaGenPhySE, INRAE, ENVT, Université de Toulouse, Castanet Tolosan, France.
Nathalie IannuccelliGenPhySE, INRAE, ENVT, Université de Toulouse, Castanet Tolosan, France.
Yvon BillonGenESI, INRAE, Surgères, France.
Katia FèveGenPhySE, INRAE, ENVT, Université de Toulouse, Castanet Tolosan, France.
Laure GressGenPhySE, INRAE, ENVT, Université de Toulouse, Castanet Tolosan, France.
Darya BazovkinaFederal Research Center Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Science, Novosibirsk, Russia.
Pierre MormedeGenPhySE, INRAE, ENVT, Université de Toulouse, Castanet Tolosan, France.
Catherine LarzulGenPhySE, INRAE, ENVT, Université de Toulouse, Castanet Tolosan, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In facing the challenge of sustainability, animal breeding provides the option to improve animal robustness. In the search for new selection criteria related to robustness, the hypothalamic-pituitary-adrenocortical (HPA) axis is studied as a major neuroendocrine system involved in metabolic regulations and adaptive responses. Indeed, HPA axis activity is strongly influenced by genetic factors acting at several levels of the axis. The adrenocorticotropic hormone (ACTH) stimulation test has long been used to analyze interindividual and genetic differences in HPA axis activity in several species, including pigs. To uncover the genetic determinism of HPA activity and its influence on functional traits and robustness, a divergent selection experiment was carried out for three generations in a Large White pig population based on plasma cortisol levels measured one hour after injection of ACTH. In the present study the response to selection was very strong (confirming our previous studies), with a heritability value of cortisol level after ACTH injections reaching 0.64 (±0.03). The difference between the two divergent lines was around five genetic standard deviations after three selection steps. A genome-wide association study pointed out the importance of the glucocorticoid receptor gene (

Indexed as

adrenocorticotropic hormoneCBGglucocorticoid receptorHPA axispigrobustness

Identifiers

PMID40144889
PMCPMC11936974

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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.