ArticleJournal of the Endocrine Society2026
Regulatory risk loci link disrupted androgen response to the pathophysiology of polycystic ovary syndrome.
Article in Journal of the Endocrine Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Using Deep Learning Models of Gene Regulation to Guide Drug Prioritization.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Regulatory risk loci link disrupted androgen response to the pathophysiology of polycystic ovary syndrome.Journal of the Endocrine Society · 2026Article
Corrections and comments
- Update of
Authors and funding
2 authors.
Funding
Abstract
A major challenge in deciphering the complex genetic landscape of polycystic ovary syndrome (PCOS) lies in the limited understanding of how susceptibility loci drive molecular mechanisms across diverse phenotypes. To address this, we integrated molecular and epigenomic annotations from proposed causal cell types and employed a deep learning (DL) framework to predict cell type-specific regulatory effects of PCOS-risk variants. Our analysis revealed that these variants affect key transcription factor-binding sites, including
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Registered trials
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.