ArticleArchives of gynecology and obstetrics2024
Genome-wide association study (GWAS) identified PCOS susceptibility variants and replicates reported risk variants.
Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Differential Methylation Signatures Associated with PCOS- A Systematic Review and In-Silico Analysis.Reproductive sciences (Thousand Oaks, Calif.) · 2025Pooled it
- Diagnostic Criteria and Genetic Basis of Polycystic Ovary Syndrome: A Narrative Review.Metabolites · 2026Review
- Integrative eQTL and Multi-Omics Analysis Reveals the Role of N6-Methyladenosine Modification in Polycystic Ovary Syndrome and Predictive Model Construction.International journal of women's health · 2026Article
- One-carbon metabolism and risk of PCOS: insights from Mendelian randomization.Journal of ovarian research · 2025Article
- PCOS and the Genome: Is the Genetic Puzzle Still Worth Solving?Biomedicines · 2025Review
- Gut microbiota in women with polycystic ovary syndrome: an individual based analysis of publicly available data.EClinicalMedicine · 2024Article
- Exploring Genetic Interactions in Colombian Women with Polycystic Ovarian Syndrome: A Study on SNP-SNP Associations.International journal of molecular sciences · 2024Article
- Genome-wide association analysis of fleece traits in Northwest Xizang white cashmere goat.Frontiers in veterinary science · 2024Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundGenetic predisposition and environmental factors are considered risk factors for polycystic ovary syndrome (PCOS). Genome-wide association studies (GWAS) have been reported from various subpopulations to evaluate SNPs associated with PCOS risk. No PCOS-associated GWAS study has been reported from India so far. PURPOSE: The current study was conducted to identify the PCOS-susceptible loci among the North Indian population and to validate the significant loci reported by previous GWAS studies.
methodsA total of 272 participants with 134 PCOS patients and 138 age-matched healthy controls were recruited. Genomic DNA was isolated and genotyped by using Infinium Global Screening Array v3.0 microchip considering HWE 10e
resultsA total of fifteen markers have been identified as candidate PCOS risk factors. Only two SNPs, namely rs17186366 and rs11171739 have been identified through replication analysis while comparing the previously reported PCOS GWAS data. In-silico analysis was performed to study the functional impact of identified significant genes for gene ontology, pathways related to gene set, and cluster analysis to determine protein-protein interaction among genes or gene products.
conclusionThe study suggests that multiple variants play an important role in PCOS pathogenesis and emphasizes the importance of further genetic studies among Indian subpopulations. The study also validates two previously reported SNPs in the Indian population. What this study adds to clinical work Study summarizes the importance of candidate gene markers validated by replication and in-silico functional study, significantly involved in PCOS pathogenesis in the studied population. These markers can be used in the future as diagnostic markers for clinical phenotype identification.
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