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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Single Nucleotide Polymorphisms in Prostate Cancer: A Comprehensive Review

Authors: Gagan Mittal; Ruchi Sachdeva;

Single Nucleotide Polymorphisms in Prostate Cancer: A Comprehensive Review

Abstract

Prostate cancer (PCa) is a major global health concern, with significant genetic contributions to its aetiology. Single nucleotide polymorphisms (SNPs) are pivotal genetic variations influencing PCa susceptibility, progression, and therapeutic outcomes. This review synthesises current knowledge on SNPs in PCa, exploring their role in disease risk, molecular mechanisms, and clinical implications. It covers the historical context of PCa, its epidemiology in Indian, Asian, and global populations, and the interplay between genetic and environmental factors. Additionally, the review addresses benign prostatic hyperplasia (BPH) and its genetic overlap with PCa, current research trends, and future directions for leveraging SNPs in precision medicine. By integrating findings from genome-wide association studies (GWAS) and functional analyses, this review aims to provide a holistic understanding of SNPs in PCa and their potential in improving diagnosis and treatment strategies.

Keywords

PCa, Prostate cancer, SNP, GWAS, India, epidemiology, Global

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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Related to Research communities
Cancer Research