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Genome-wide association study (GWAS) identified PCOS susceptibility variants and replicates reported risk variants.
Sharma, Priya; Senapati, Sabyasachi; Goyal, Lajya Devi; Kaur, Balpreet; Kamra, Pooja; Khetarpal, Preeti.
Afiliação
  • Sharma P; Laboratory for Reproductive and Developmental Disorders, Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, 151401, India.
  • Senapati S; Laboratory of Immunogenomics, Department of Human Genetics and Molecular Medicine, School of Health Science, Central University of Punjab, Bathinda, 151401, India.
  • Goyal LD; Department of Obstetrics and Gynaecology, AIIMS, Bathinda, 151001, India.
  • Kaur B; Department of Obstetrics and Gynaecology, AIIMS, Bathinda, 151001, India.
  • Kamra P; Department of Obstetrics and Gynaecology, Kamra Hospital, Malout, 152107, India.
  • Khetarpal P; Laboratory for Reproductive and Developmental Disorders, Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, 151401, India. preetikhetarpal@cup.edu.in.
Arch Gynecol Obstet ; 309(5): 2009-2019, 2024 May.
Article em En | MEDLINE | ID: mdl-38421422
ABSTRACT

BACKGROUND:

Genetic 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.

METHODS:

A 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-5 statistically significant.

RESULTS:

A 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.

CONCLUSION:

The 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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do Ovário Policístico / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do Ovário Policístico / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2024 Tipo de documento: Article