Single nucleotide polymorphism-based biomarker in primary hypertension.

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.