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Common Single Nucleotide Polymorphisms in Clinical Cardiology and Dietary Intervention: A Narrative Review
Jacob Michael Hands1, Kevin Blain2, Sahar Swidan2
1Department of Pathology, University of Southern California, Los Angeles, CA 90033, USA.
Common genetic markers for cardiovascular disease (CVD) risk, influenced by diet, are becoming accessible. While promising, these candidate-actionable loci require further validation for clinical use alongside polygenic risk scores.
Area of Science:
- Cardiovascular Genomics
- Nutrigenetics
- Lipid Metabolism
Background:
- Genomic testing for rare cardiovascular disease (CVD) mutations is established but limited. Common single nucleotide polymorphisms (SNPs) affecting lipid metabolism and CVD risk are increasingly available via clinical and direct-to-consumer (DTC) platforms.
- These common SNPs, termed "candidate-actionable," show genotype-by-diet interactions, but their full clinical utility is not yet demonstrated.
Purpose of the Study:
- To review evidence for six common loci (APOA1, APOE, LIPC, LPL, ANGPTL3, FADS1/2) modulating lipid metabolism and CVD risk.
- To frame these loci as complementary to polygenic risk scores (PRSs) and discuss epistatic interactions and epigenetic modulators.
- To propose an integrated framework combining PRS, locus-level SNPs, and epigenetic state, and compare testing platforms.
Main Methods:
- Narrative review synthesizing evidence on common SNPs, genotype-by-diet interactions, and epigenetic modulators.
- Analysis of observational and small interventional studies.
- Comparison of current clinical and DTC genetic testing platforms.
Main Results:
- Six common loci (APOA1, APOE, LIPC, LPL, ANGPTL3, FADS1/2) show genotype-by-diet associations relevant to lipid metabolism and CVD risk.
- Illustrative epistatic interactions (e.g., APOE ε4 × FADS) and epigenetic influences were identified.
- Dietary recommendations based on these loci are hypothesis-generating, requiring prospective validation.
Conclusions:
- Common SNPs offer a complementary approach to PRSs for assessing CVD risk, with potential for personalized nutrition strategies.
- Further large-scale, genotype-stratified prospective trials are essential to validate clinical utility and management guidelines.
- An integrated framework combining PRS, SNPs, and epigenetics may enhance CVD risk prediction and prevention.
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