Evidence map›Paper›PMID 34311762›Full record

ArticleGenome biology2021

Dissecting indirect genetic effects from peers in laboratory mice.

Amelie Baud, Francesco Paolo Casale, Amanda M Barkley-Levenson, Nilgoun Farhadi, Charlotte Montillot, Binnaz Yalcin, Jerome Nicod, Abraham A Palmer, Oliver Stegle

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. 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
1.6field-weighted citation impact, top 16% 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, 18 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

9 authors at 5 institutions in 5 countries.

Amelie BaudEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, CB10 1SD Hinxton, Cambridge, UK. amelie.baud@crg.eu.ORCID 0000-0003-2448-0283
Francesco Paolo CasaleEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, CB10 1SD Hinxton, Cambridge, UK.
Amanda M Barkley-LevensonDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Nilgoun FarhadiDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Charlotte MontillotINSERM U1231 GAD Laboratory, University Bourgogne Franche-Comté, 21070, Dijon, France.
Binnaz YalcinINSERM U1231 GAD Laboratory, University Bourgogne Franche-Comté, 21070, Dijon, France.
Jerome NicodWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Abraham A PalmerDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Oliver StegleEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, CB10 1SD Hinxton, Cambridge, UK. oliver.stegle@embl.de.
University of California San Diego · USEuropean Bioinformatics Institute · GBInserm · FRCentre for Human Genetics · GBMicrosoft (United States) · US

Funding

Sequencing CoreP50DA037844 · NIDA · UNIVERSITY OF CHICAGO · PI MEYER, PAUL J · 2014 to 2023
$27.4M
Cyclic EphA4 peptide antagonists for neuroprotection in ALSR01NS087070 · NINDS · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI PASQUALE, ELENA B · 2014 to 2018
$3.5M
NIDA NIH HHS P50 DA037844NINDS NIH HHS R01 NS087070Wellcome TrustWellcome Trust 105941/Z/14/Z
6 · The paper itself

Abstract

backgroundThe phenotype of an individual can be affected not only by the individual's own genotypes, known as direct genetic effects (DGE), but also by genotypes of interacting partners, indirect genetic effects (IGE). IGE have been detected using polygenic models in multiple species, including laboratory mice and humans. However, the underlying mechanisms remain largely unknown. Genome-wide association studies of IGE (igeGWAS) can point to IGE genes, but have not yet been applied to non-familial IGE arising from "peers" and affecting biomedical phenotypes. In addition, the extent to which igeGWAS will identify loci not identified by dgeGWAS remains an open question. Finally, findings from igeGWAS have not been confirmed by experimental manipulation.

resultsWe leverage a dataset of 170 behavioral, physiological, and morphological phenotypes measured in 1812 genetically heterogeneous laboratory mice to study IGE arising between same-sex, adult, unrelated mice housed in the same cage. We develop and apply methods for igeGWAS in this context and identify 24 significant IGE loci for 17 phenotypes (FDR < 10%). We observe no overlap between IGE loci and DGE loci for the same phenotype, which is consistent with the moderate genetic correlations between DGE and IGE for the same phenotype estimated using polygenic models. Finally, we fine-map seven significant IGE loci to individual genes and find supportive evidence in an experiment with a knockout model that Epha4 gives rise to IGE on stress-coping strategy and wound healing.

conclusionsOur results demonstrate the potential for igeGWAS to identify IGE genes and shed light into the mechanisms of peer influence.

Indexed as

Gene-Environment InteractionGenotypeMultifactorial InheritancePhenotypeAnimalsDatasets as TopicFemaleGene ExpressionGenetic HeterogeneityGenome-Wide Association StudyHumansMaleMicePolymorphism, Single NucleotideQuantitative Trait LociReceptor, EphA4Receptor, EphA4Genome-wide association studyGenotype to phenotypeIndirect genetic effectsPeer effectsSocial genetic effects

Identifiers

PMID34311762
PMCPMC8311926
OpenAlexW3185508105

What OpenQuestion holds

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LicenceCC BY
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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.