Evidence map›Paper›PMID 28473910›Full record

ArticleBiology of sex differences2017

From sexless to sexy: Why it is time for human genetics to consider and report analyses of sex.

Matthew S Powers, Phillip H Smith, Sherry A McKee, Marissa A Ehringer

Abstract read
In one paragraph

Article in Biology of sex differences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Ancestry-specific and sex-specific risk alleles identified in a genome-wide gene-by-alcohol dependence interaction study of risky sexual behaviors.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    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

4 authors.

Matthew S PowersInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO 80309 USA.
Phillip H SmithDepartment of Community Health and Social Medicine, CUNY School of Medicine, New York, NY 10031 USA.
Sherry A McKeeDepartment of Psychiatry, Yale School of Medicine, New Haven, CT 06519 USA.
Marissa A EhringerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO 80309 USA.

Funding

Yale SCOR on Gender-Sensitive Treatment for Tobacco DependenceP50DA033945 · NIDA · YALE UNIVERSITY · PI MCKEE, SHERRY ANN · 2012 to 2017
$6.5M
BEHAVIORAL PHARMACOGENETICS OF DRUG AND ALCOHOL ABUSET32AA007464 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI HOFFMAN, PAULA · 1987 to 2017
$4.8M
Translational studies of nicotinic receptor genes: alcohol and nicotine behaviorsR01AA017889 · NIAAA · UNIVERSITY OF COLORADO · PI EHRINGER, MARISSA A · 2009 to 2013
$2.6M
NIAAA NIH HHS R01 AA017889NIAAA NIH HHS T32 AA007464NIDA NIH HHS P50 DA033945
6 · The paper itself

Abstract

Science has come a long way with regard to the consideration of sex differences in clinical and preclinical research, but one field remains behind the curve: human statistical genetics. The goal of this commentary is to raise awareness and discussion about how to best consider and evaluate possible sex effects in the context of large-scale human genetic studies. Over the course of this commentary, we reinforce the importance of interpreting genetic results in the context of biological sex, establish evidence that sex differences are not being considered in human statistical genetics, and discuss how best to conduct and report such analyses. Our recommendation is to run stratified analyses by sex no matter the sample size or the result and report the findings. Summary statistics from stratified analyses are helpful for meta-analyses, and patterns of sex-dependent associations may be hidden in a combined dataset. In the age of declining sequencing costs, large consortia efforts, and a number of useful control samples, it is now time for the field of human genetics to appropriately include sex in the design, analysis, and reporting of results.

Indexed as

Human GeneticsSex CharacteristicsFemaleGenome-Wide Association StudyHumansMaleResearch Design

Identifiers

PMID28473910
PMCPMC5415751

What OpenQuestion holds

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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.