Evidence map›Paper›PMID 40594415›Full record

ArticleScientific reports2025

Using twin data to examine heritable and intrauterine hormonal influences on transgender and gender diverse identities.

Will Conabere, Anja Ravine, Sue Malta, Louise Bourchier, Fintan Harte, John L Hopper, Ken C Pang

Abstract readTwin Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Will ConabereDepartment of Paediatrics, University of Melbourne, Melbourne, VIC, Australia.
Anja RavineDepartment of Paediatrics, University of Melbourne, Melbourne, VIC, Australia.
Sue MaltaSexual Health Unit, University of Melbourne, Melbourne, VIC, Australia.
Louise BourchierSexual Health Unit, University of Melbourne, Melbourne, VIC, Australia.
Fintan HarteDepartment of Psychiatry, University of Melbourne, Melbourne, VIC, Australia.
John L HopperTwins Research Australia, University of Melbourne, Melbourne, VIC, Australia.
Ken C PangDepartment of Paediatrics, University of Melbourne, Melbourne, VIC, Australia. ken.pang@mcri.edu.au.

Funding

Australian National Health and Medical Research Council GNT51531
6 · The paper itself

Abstract

Previous reports have suggested genetic and prenatal hormonal contributions to gender diversity, albeit using small datasets. To further examine this issue, we recruited 27 twin pairs from two Australian specialist gender clinics, and obtained details of zygosity and self-reported gender identity. To increase the power of our analysis, we pooled our observations with previously published twin data that used comparable methods to ours. The pooled sample of 463 twin pairs comprised 47/222 (21.2%) MZ and 21/241 (8.7%) DZ concordant pairs. Based on a 1% population prevalence estimate, the estimated relative risk ratios for transgender concordance were 21.2 for MZ pairs (95%CI 16.4-27.3), and 8.7 for DZ pairs (95%CI 5.8-13.1). These findings suggest a substantial genetic contribution to gender diversity. In contrast, the combined results for concordance among same and opposite sex DZ pairs were 12/131 (9.2%) and 9/110 (8.2%) respectively, and did not support a role for prenatal sex hormones in the occurrence of gender diversity.

Indexed as

Gender IdentityGonadal Steroid HormonesTransgender PersonsAdultAustraliaFemaleHumansMaleMiddle AgedPregnancyTwins, DizygoticTwins, MonozygoticYoung AdultGonadal Steroid Hormones

Identifiers

PMID40594415
PMCPMC12218214

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.