ReviewNature communications2026
From polygenic risk to functional genomics: a framework for precision gynecological disease modeling.
Review in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Gynecological conditions including endometriosis, polyendocrine metabolic ovarian syndrome and malignancies cause widespread chronic morbidity and infertility, yet translating genetic discoveries into biological mechanisms remains challenging. We propose a framework integrating biobank-derived human genetic data, patient-derived stem cell models, and advanced tissue engineering. By combining naturally occurring genetic variation with targeted genome engineering and high-resolution molecular analyses, this approach promises to enable mechanistic insights and therapeutic discovery. We discuss methodological, ethical, and translational challenges, including polygenic risk score construction, variant prioritization, ancestry-related limitations, and modeling hormonal microenvironments. Together, this framework offers a roadmap for advancing functional genomics and precision medicine across gynecological diseases.
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What Socratic holds
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.