Evidence map›Paper›PMID 36712323›Full record

ArticlePNAS nexus2022

Sex differences in interindividual gene expression variability across human tissues.

Samuel Khodursky, Caroline S Jiang, Eric B Zheng, Roger Vaughan, Daniel R Schrider, Li Zhao

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. On the importance of including both sexes in animal studies - insights from home-cage monitoring.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
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  3. Article
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  13. Paternal impact on the developmental programming of sexual dimorphism.Frontiers in cell and developmental biology · 2024
    Review
  14. Article
  15. Review
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

6 authors at 2 institutions in 1 country.

Samuel KhodurskyLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA.
Caroline S JiangDepartment of Biostatistics, The Rockefeller University, New York, NY 10065, USA.
Eric B ZhengLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA.ORCID https://orcid.org/0000-0002-6302-3635
Roger VaughanDepartment of Biostatistics, The Rockefeller University, New York, NY 10065, USA.
Daniel R SchriderDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27514, USA.ORCID https://orcid.org/0000-0001-5249-4151
Li ZhaoLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA.ORCID https://orcid.org/0000-0001-6776-1996
Rockefeller University · USUniversity of North Carolina at Chapel Hill · US

Funding

Weill Cornell/Rockefeller/Sloan-Kettering MST ProgramT32GM007739 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HSU, KATHARINE C · 1985 to 2023
$51.1M
The genetic and epigenetic mechanisms of phenotypic innovationhttps://apps.era.nih.gov/gm/reportCheckList.do?applicationID=9798249R35GM133780 · NIGMS · ROCKEFELLER UNIVERSITY · PI Li Zhao · 2019 to 2026
$3.5M
Advancing evolutionary genetics through deep learningR35GM138286 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DANIEL R SCHRIDER · 2020 to 2026
$2.8M
NIGMS NIH HHS R35 GM133780NIGMS NIH HHS R35 GM138286NIGMS NIH HHS T32 GM007739
6 · The paper itself

Abstract

Understanding phenotypic sex differences has long been a goal of biology from both a medical and evolutionary perspective. Although much attention has been paid to mean differences in phenotype between the sexes, little is known about sex differences in phenotypic variability. To gain insight into sex differences in interindividual variability at the molecular level, we analyzed RNA-seq data from 43 tissues from the Genotype-Tissue Expression project (GTEx). Within each tissue, we identified genes that show sex differences in gene expression variability. We found that these sex-differentially variable (SDV) genes are associated with various important biological functions, including sex hormone response, immune response, and other signaling pathways. By analyzing single-cell RNA sequencing data collected from breast epithelial cells, we found that genes with sex differences in gene expression variability in breast tissue tend to be expressed in a cell-type-specific manner. We looked for an association between SDV expression and Graves' disease, a well-known heavily female-biased disease, and found a significant enrichment of Graves' associated genes among genes with higher variability in females in thyroid tissue. This suggests a possible role for SDV expression in sex-biased disease. We then examined the evolutionary constraints acting on genes with sex differences in variability and found that they exhibit evidence of increased selective constraint. Through analysis of sex-biased eQTL data, we found evidence that SDV expression may have a genetic basis. Finally, we propose a simple evolutionary model for the emergence of SDV expression from sex-specific constraints.

Identifiers

PMID36712323
PMCPMC9802459
OpenAlexW4307313449

What OpenQuestion holds

Textmetadata
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.