Evidence map›Paper›PMID 42239253›Full record

ArticlebioRxiv : the preprint server for biology2026

Indirect genetic effects across ontogeny in an avian cooperative breeder.

Gladiana Spitz, David Tian, Elissa Cosgrove, Tori D Bakley, Sahas Barve, Reed Bowman, John W Fitzpatrick, Nancy Chen

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gladiana SpitzDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA.
David TianDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA.
Elissa CosgroveDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.
Tori D BakleyAvian Ecology Lab, Archbold Biological Station, Florida, USA.
Sahas BarveAvian Ecology Lab, Archbold Biological Station, Florida, USA.
Reed BowmanAvian Ecology Lab, Archbold Biological Station, Florida, USA.
John W FitzpatrickDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA.
Nancy ChenDepartment of Biology, University of Rochester, Rochester, New York, USA.ORCID 0000-0001-8966-3449

Funding

Population genomics with pedigrees: new approaches for studying contemporary evolutionR35GM133412 · NIGMS · UNIVERSITY OF ROCHESTER · PI CHEN, NANCY · 2019 to 2023
$1.9M
NIGMS NIH HHS R35 GM133412
6 · The paper itself

Abstract

Social interactions are ubiquitous in nature and have the potential to affect trait evolution, particularly in group-living animals such as cooperative breeders. Interactions among conspecific individuals can affect the amount of additive genetic variation for a trait when the phenotype of an individual is also affected by the genotype of its social partner(s) via indirect genetic effects. Thus, quantifying both direct and indirect genetic effects of social partners is critical for understanding and predicting evolutionary trajectories. While much is known about maternal indirect genetic effects, empirical estimates of indirect genetic effects from other social partners remain limited, particularly in wild populations. Here, we use animal models to assess the contribution of indirect genetic effects from all social partners in a family group (mothers, fathers, and helpers) on juvenile morphometric traits across ontogeny in the cooperatively-breeding Florida scrub-jay (

Identifiers

PMID42239253
PMCPMC13228392

What OpenQuestion holds

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LicenceCC BY-NC
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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.