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Article

Clustering Identifies Subtypes With Different Phenotypic Characteristics in Women With Polycystic Ovary Syndrome.

The Journal of clinical endocrinology and metabolism - 18 Nov 2024

van der Ham Kim, Moolhuijsen Loes M E, Brewer Kelly, Sisk Ryan, Dunaif Andrea, Laven Joop S E, Louwers Yvonne V, Visser Jenny A

Abstract excerpt

CONTEXT: Hierarchical clustering (HC) identifies subtypes of polycystic ovary syndrome (PCOS). OBJECTIVE: This work aimed to identify clinically significant subtypes in a PCOS cohort diagnosed with the Rotterdam criteria and to further characterize the distinct subtypes. METHODS: Clustering was performed using the variables body mass index (BMI), luteinizing hormone (LH), follicle-stimulating hormone,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 38753423
DOI: 10.1210/clinem/dgae298
PMCID: PMC11570376

Genes

AMH
SHBG

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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