Evidence map›Paper›PMID 40825976›Full record

ArticleNature communications2025

Gene regulatory activity associated with polycystic ovary syndrome revealed DENND1A-dependent testosterone production.

Laavanya Sankaranarayanan, Kelly J Brewer, Shauna Morrow, Graham D Johnson, Alejandro Barrera, Revathy Venukuttan, Ryan Sisk, Andrea Dunaif, Timothy E Reddy

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

9 authors.

Laavanya SankaranarayananUniversity Program in Genetics and Genomics, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0003-0576-6323
Kelly J BrewerDivision of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Shauna MorrowDepartment of Biostatistics and Bioinformatics, Duke University Medical School, Durham, NC, USA.
Graham D JohnsonDepartment of Biostatistics and Bioinformatics, Duke University Medical School, Durham, NC, USA.ORCID http://orcid.org/0000-0003-0723-4697
Alejandro BarreraDepartment of Biostatistics and Bioinformatics, Duke University Medical School, Durham, NC, USA.ORCID http://orcid.org/0000-0001-9244-9822
Revathy VenukuttanDepartment of Biostatistics and Bioinformatics, Duke University Medical School, Durham, NC, USA.
Ryan SiskDivision of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Andrea DunaifDivision of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA. andrea.dunaif@mssm.edu.ORCID http://orcid.org/0000-0002-8175-4677
Timothy E ReddyUniversity Program in Genetics and Genomics, Duke University, Durham, NC, USA. treddy@altius.org.ORCID http://orcid.org/0000-0002-7629-061X

Funding

Genetically Validated PCOS Subtypes: Data-Driven Clinical Translation for Improved Diagnosis and Comprehensive Risk StratificationR01HD100812 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Andrea Dunaif · 2020 to 2026
$4.1M
NICHD NIH HHS R01 HD100812U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) R01HD100812
6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is among the most common disorders affecting up to 15% of the menstruating population globally. It is the leading cause of anovulatory infertility and a major risk factor for type 2 diabetes. Elevated testosterone levels are a core endophenotype. Despite that prevalence, the underlying causes remain unknown. PCOS genome-wide association studies (GWAS) have reproducibly mapped a number of susceptibility loci, including one encompassing a gene regulating androgen biosynthesis, DENND1A. Identifying the causal variants within these loci will provide fundamental insight into the precise biological pathways that are disrupted in PCOS. Here, we report the discovery of gene regulatory mechanisms that help explain genetic association with PCOS in the GATA4, FSHB and DENND1A loci using a combination of high throughput reporter assays, CRISPR-based epigenome editing, and genetic association analysis from PCOS case and control populations. In addition, we find that increasing endogenous DENND1A expression causes elevated testosterone levels in an adrenal cell model, specifically by perturbing candidate regulatory elements. These results further highlight the potential for combining genetic variant analyses with experimental approaches to fine map genetic associations with disease risk.

Indexed as

Guanine Nucleotide Exchange FactorsPolycystic Ovary SyndromeTestosteroneCase-Control StudiesDeath Domain Receptor Signaling Adaptor ProteinsFemaleGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideDeath Domain Receptor Signaling Adaptor ProteinsDENND1A protein, humanGuanine Nucleotide Exchange FactorsTestosterone

Identifiers

PMID40825976
PMCPMC12361435

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.