Evidence map›Paper›PMID 33198888›Full record

SynthesiseLife2020

Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications.

Susanne Rk Zajitschek, Felix Zajitschek, Russell Bonduriansky, Robert C Brooks, Will Cornwell, Daniel S Falster, Malgorzata Lagisz, Jeremy Mason, Alistair M Senior, Daniel Wa Noble and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guidelines for in vivo mouse models of myocardial infarction.American journal of physiology. Heart and circulatory physiology · 2021
    Guideline
  2. Pooled it
  3. Article
  4. Seasonal trends in sperm quality in Denmark and Florida.Reproductive biology and endocrinology : RB&E · 2026
    Observational
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  9. Review
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  20. Temperature and nutrition do not interact to shape the evolution of metabolic rate.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    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

11 authors.

Susanne Rk ZajitschekEvolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0003-4676-9950
Felix ZajitschekEvolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0001-6010-6112
Russell BondurianskyEvolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-5786-6951
Robert C BrooksEvolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0001-6926-0781
Will CornwellEvolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0003-4080-4073
Daniel S FalsterEvolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-9814-092X
Malgorzata LagiszEvolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-3993-6127
Jeremy MasonEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, United Kingdom.ORCID 0000-0002-2796-5123
Alistair M SeniorUniversity of Sydney, Charles Perkins Centre, School of Life and Environmental Sciences, School of Mathematics and Statistics, Sydney, Australia.ORCID 0000-0001-9805-7280
Daniel Wa Noble *Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0001-9460-8743
Shinichi Nakagawa *Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-7765-5182

Funding

Mouse Phenotyping Informatics Infrastructure - MP12UM1HG006370 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI Pilar Cacheiro Martinez, Helen Elizabeth Parkinson · 2016 to 2026
$20.4M
Australian Research Council DP180100818Australian Research Council FT160100113Australian Research Council Fellowship DE180101520NHGRI NIH HHS UM1 HG006370
6 · The paper itself

Abstract

Biomedical and clinical sciences are experiencing a renewed interest in the fact that males and females differ in many anatomic, physiological, and behavioural traits. Sex differences in trait variability, however, are yet to receive similar recognition. In medical science, mammalian females are assumed to have higher trait variability due to estrous cycles (the 'estrus-mediated variability hypothesis'); historically in biomedical research, females have been excluded for this reason. Contrastingly, evolutionary theory and associated data support the 'greater male variability hypothesis'. Here, we test these competing hypotheses in 218 traits measured in >26,900 mice, using meta-analysis methods. Neither hypothesis could universally explain patterns in trait variability. Sex bias in variability was trait-dependent. While greater male variability was found in morphological traits, females were much more variable in immunological traits. Sex-specific variability has eco-evolutionary ramifications, including sex-dependent responses to climate change, as well as statistical implications including power analysis considering sex difference in variance.

Indexed as

Biological EvolutionEcosystemSex CharacteristicsAnimalsDatabases, FactualFemaleMaleMiceecologyevolutionary biologygender differencemeta regressionmousepower analysissex inequalitysexual selection

Identifiers

PMID33198888
PMCPMC7704105

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.