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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Single nucleotide polymorphism-based biomarker in primary hypertension.

Laxmi1, Pougang Golmei1, Shriyansh Srivastava1

  • 1Department of Pharmacology, Delhi Institute of Pharmaceutical Sciences and Research, Delhi Pharmaceutical Sciences and Research University, Pushp Vihar, M B Road, New Delhi, 110017, India.

European Journal of Pharmacology
|April 15, 2024
PubMed
Summary

Single nucleotide polymorphism (SNP) research is advancing our understanding of primary hypertension genetics. Emerging technologies promise personalized prevention and treatment strategies based on an individual's genetic profile.

Keywords:
BiomarkersEnvironmentGenesGenetic variantsPrimary hypertensionSingle nucleotide polymorphism

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Area of Science:

  • Genetics and genomics
  • Cardiovascular disease research
  • Precision medicine

Background:

  • Primary hypertension is a complex disease with significant genetic influences.
  • Genome-wide association studies (GWAS) and candidate gene studies have identified numerous single nucleotide polymorphisms (SNPs) linked to hypertension.
  • Understanding the genetic basis is crucial for effective management.

Purpose of the Study:

  • To review the current state of SNP research in primary hypertension.
  • To discuss the clinical implications of SNP findings for patient care.
  • To highlight emerging technologies revolutionizing genetic insights into hypertension.

Main Methods:

  • Review of existing literature on SNP research in primary hypertension.
  • Analysis of identified hypertension-related SNPs, their locations, functions, and population frequencies.
  • Exploration of emerging technologies like gene editing, computational biology, and machine learning.

Main Results:

  • Numerous SNPs associated with primary hypertension have been identified, offering insights into its genetic architecture.
  • SNP research supports disease risk prediction, personalized medicine approaches, and enhanced mechanistic understanding.
  • Emerging technologies are poised to significantly deepen our comprehension of genetic factors in hypertension.

Conclusions:

  • SNP research in primary hypertension is rapidly evolving, driven by technological advancements.
  • These developments hold significant promise for transforming hypertension prevention and treatment through personalized strategies.
  • Tailoring interventions to individual genetic profiles can improve patient outcomes and reduce healthcare burdens.