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In Silico Analysis of Functional SNPs in Genes of Complete Androgen Insensitivity Syndrome (CAIS): A Retrospective, Case–Control Study

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Abstract

Background

Complete androgen insensitivity syndrome (CAIS) is one of the categories of androgen insensitivity syndrome (AIS) described as complete failure of the cell to react to androgens with external genitalia of a normal female. People with AIS condition are genetically male, with XY karyotype in each cell, but their bodies are unable to respond to male sex hormones (called androgens). It is associated with infertility as well as develo** cancerous conditions. The genetic association of CAIS involves polymorphism of genes such as NR5A1, SOX9, SRD5A2, CBX2, GATA4, and SRY. Their mutation and participation in genetics of CAIS can be studied by Single Nucleotide polymorphism (SNP) analysis which is a way to detect genetic variations. SNP in coding region leads to synonymous and non-synonymous mutations. Hence, this study highlights analysis of SNPs associated with CAIS. Our aim is to study SNP analysis of NR5A1, SOX9, SRD5A2, CBX2, GATA4, SRY genes in Complete Androgen Insensitivity Syndrome.

Methods

SIFT and Polyphen analysis was performed for all the genes and samples were subjected for PCR-SSCP technique.

Results

SNPs were analyzed for the genes associated with CAIS. Benign and damaging SNPs were identified. DNA Samples were amplified using PCR technique and they will be analyzed using Single-strand conformation polymorphism (SSCP).

Conclusions

As SNPs have decreased stability, damaging and benign character, they can be used as candidate hallmarks in study of Complete Androgen Insensitivity Syndrome.

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Acknowledgements

The authors would like to thank the management of Vellore Institute of technology for providing excellent facilities to carry out this study.

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Correspondence to Shalaka S. Ramgir.

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All authors declare that they have no conflict of interest.

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All processes executed in research regarding human individuals had been approved by the Institutional ethical community, Vellore Institute of Technology, Vellore, India.

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Informed consent was obtained from all the individual participants included in this study.

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Shalaka Sudhir Ramgir is an Assistant professor; Sivakumar Annamalai is an Quality Assurance-Executive; Abilash V.G. is an associate professor.

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Ramgir, S.S., Annamalai, S. & Abilash, V.G. In Silico Analysis of Functional SNPs in Genes of Complete Androgen Insensitivity Syndrome (CAIS): A Retrospective, Case–Control Study. J Obstet Gynecol India 74, 136–143 (2024). https://doi.org/10.1007/s13224-023-01876-3

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