Sex differences in allometry for phenotypic traits in mice indicate that females are not scaled males
Laura A. B. Wilson (),
Susanne R. K. Zajitschek,
Malgorzata Lagisz,
Jeremy Mason,
Hamed Haselimashhadi and
Shinichi Nakagawa ()
Additional contact information
Laura A. B. Wilson: University of New South Wales
Susanne R. K. Zajitschek: University of New South Wales
Malgorzata Lagisz: University of New South Wales
Jeremy Mason: Melio Healthcare Ltd.
Hamed Haselimashhadi: European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus
Shinichi Nakagawa: University of New South Wales
Nature Communications, 2022, vol. 13, issue 1, 1-12
Abstract:
Abstract Sex differences in the lifetime risk and expression of disease are well-known. Preclinical research targeted at improving treatment, increasing health span, and reducing the financial burden of health care, has mostly been conducted on male animals and cells. The extent to which sex differences in phenotypic traits are explained by sex differences in body weight remains unclear. We quantify sex differences in the allometric relationship between trait value and body weight for 363 phenotypic traits in male and female mice, recorded in >2 million measurements from the International Mouse Phenotyping Consortium. We find sex differences in allometric parameters (slope, intercept, residual SD) are common (73% traits). Body weight differences do not explain all sex differences in trait values but scaling by weight may be useful for some traits. Our results show sex differences in phenotypic traits are trait-specific, promoting case-specific approaches to drug dosage scaled by body weight in mice.
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-022-35266-6 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35266-6
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-022-35266-6
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().