Cited by 150Sex and Gender in HealthcareGenetic Associations and EpidemiologyMeta-analysis and systematic reviews

Claims of Sex Differences: An Empirical Assessment in Genetic Associations

Patsopoulos, Nikolaos A., Tatsioni, Athina, Ioannidis, John P. A.·2007·JAMA

Abstract

Context Many studies try to probe for differences in risks between men and women, and this is a major challenge in the expanding literature of associations between genetic variants and common diseases or traits. Objective To evaluate whether prominently claimed sex differences for genetic effects have sufficient internal and external validity. Data sources We searched PubMed through July 6, 2007, for genetic association studies claiming sex-related differences in the articles' titles. Titles and abstracts and, if necessary, the full text of the article were assessed for eligibility. Study selection Two hundred fifteen articles were retrieved by the search. We considered eligible all retrieved association studies that claimed different genetic effects across sexes of 1 or more gene variants for any human disease or phenotype. We considered both biallelic and multiallelic markers (including haplotypes) and both binary and continuous phenotypes and traits. We excluded non-English-language studies; studies evaluating only 1 sex; studies in which sex was treated only as an independent predictor of disease; studies that did not address any association of the investigated genetic variant with a disease or trait; studies not involving humans; and studies in which the authors did not claim any sex difference. Data extraction Two evaluators independently extracted data with a third evaluator arbitrating their discrepancies. Data evaluation included whether analyses were stated to have…

Integrity signals

Registry

Crossref · 10.1001/jama.298.8.880

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A meaningful investigation of interactions may require a nearly 10-fold increase in sample size compared to that needed for detecting main effects.

    “A meaningful investigation of interactions may require a nearly 10‐fold increase in sample size compared to that needed for detecting the main effects. 85”

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 109 · Cited by 150

Authors
Patsopoulos, N. A., Tatsioni, A., & Ioannidis, J. P. A.
Affiliations
University of Ioannina (GR)
Venue
JAMA
Published
2007-08-22
Volume
298
Issue
8
Pages
880
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2108310865
Cited by
150
References
109
Citations by year
2026: 2 · 2025: 11 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 7 · 2020: 2 · 2019: 3 · 2018: 5 · 2017: 5 · 2016: 6 · 2015: 6 · 2014: 7 · 2013: 9 · 2012: 12
FWCI
19.91
Type
journal article
Language
en
Open access
closed
Locations
  • JAMA (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords
sex differences, gene-sex interaction, genetic association studies, internal validity, generalizability, replication, methodological quality, sex differences in disease risk, sex differences in gene expression
MeSH terms
Disease, Female, Genotype, Humans, Male, Phenotype, Risk Factors, Sex Characteristics, Sex Factors, Genetic Variation, Reproducibility of Results, Genetic Diseases, Inborn

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review