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Article

Pharmacogenetic analysis using artificial intelligence (AI) to identify polymorphisms associated with sub-optimal ovarian response and hyper-response.

Journal of assisted reproduction and genetics - 1 Jun 2025

Ortiz José A, Lledó B, Luque L, Morales R, Myles S, Pérez María, Guerrero J, Bernabeu A

Abstract excerpt

PURPOSE: To identify genetic variants associated with an increased likelihood of sub-optimal ovarian response or hyper-response by machine learning. METHODS: This retrospective observational study, conducted between March 2018 and April 2022, analyses 495 ovarian stimulations in oocyte donors. Only each donor's first ovarian stimulation was considered. The egg donors were healthy women aged 18 to 35 years. Donor...

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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: 40172774
DOI: 10.1007/s10815-025-03471-z
PMCID: PMC12226441

Genes

AMHR2
ESR2
FSHR
GDF9
AMH

Variants

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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