Sign in
Genetic & Genomic MedicineJournal of Clinical Pathology
Peer-reviewed journal article

Genetic Associations with Polycystic Ovary Syndrome: The Role of The Mitochondrial Genome; A Systematic Review and Meta-analysis

Almira Moosa, Meeladah Ghani, Helen C. O’NeilliD

Abstract

1.BackgroundPolycystic Ovary Syndrome (PCOS) remains the most common female reproductive endocrine disorder. Genetic studies have predominantly focused on the role of the nuclear genome, whilst the contribution of mitochondrial genetics in PCOS remains largely unknown. AimThis study aims to systematically evaluate the literature regarding the associations between the mitochondrial genome and PCOS. MethodsA literature search focused on PCOS and mitochondrial genetics was conducted on (1) MEDLINE (2) EMBASE and (3) The Cochrane Library (CENTRAL and Cochrane Reviews). Search results were screened for eligibility, and data involving genetic variants of mitochondrial DNA (mtDNA) was extracted. Quantitative data was presented in forest plots, and where this was not possible, data was analysed in a qualitative manner. Quality of studies was assessed using the Q-Genie tool. ResultsOf the 13,812 identified studies, 15 studies were eligible for inclusion, with 8 studies suitable for meta-analysis. Women with PCOS showed higher frequencies of a 9-bp deletion, and aberrant SNPs in the ND5, A6, and 7 tRNA-encoding genes. They also showed lower frequencies of two SNPs in the D-Loop of the genome. Women with PCOS also exhibited significantly lowered mtDNA copy number. ConclusionWomen with PCOS harbour genetic variants in coding and non-coding regions of the mitochondrial genome. This may disrupt the electron transport chain and lead to oxidative stress, causing apoptosis of cells and further genetic damage. However, further studies of higher quality are required to confirm these associations.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPatial '26Dapas '19Rai '20Wei '24Tyrmi '21Actkins '23
70% semantic matchBioinformatics
Ritika Patial, Sonalika Ray, Kashmir Singh+1 more·bioRxiv·Jan 24, 2026