How close are we to implementing a genetic risk score for coronary heart disease?
| Autor: | Steve E. Humphries, Fotios Drenos, Katherine E. Beaney |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Candidate gene Leupeptins Future risk Coronary Disease Single-nucleotide polymorphism Genome-wide association study 030204 cardiovascular system & hematology Bioinformatics Polymorphism Single Nucleotide Risk Assessment Medication Adherence Pathology and Forensic Medicine 03 medical and health sciences Sex Factors 0302 clinical medicine Risk Factors Internal medicine Genetics medicine Humans Genetic Predisposition to Disease Genetic Testing 030212 general & internal medicine Genetic risk Risk factor Molecular Biology Genetic Association Studies Selection (genetic algorithm) business.industry fungi United Kingdom Coronary heart disease Primary Prevention Practice Guidelines as Topic Molecular Medicine Hydroxymethylglutaryl-CoA Reductase Inhibitors business Genome-Wide Association Study |
| Zdroj: | Expert Review of Molecular Diagnostics. 17:905-915 |
| ISSN: | 1744-8352 1473-7159 |
| Popis: | Introduction: Genome-wide association meta-analysis have now identified more than 150 loci where common variants (SNPs) are significantly associated with coronary heart disease (CHD) and CHD end points.Areas covered: The authors review publications from their own laboratory and published recently where identified CHD risk SNPs are used in combination, and ‘scaled’ by their effect size, to create a ‘weighted’ Genetic risk Score (GRS), which, in combination with an individual’s classical CHD risk factors, can be used to identify those at overall low, intermediate and high future risk. Those at highest risk can be offered life-style and therapeutic options to reduce their risk and those at intermediate levels can be monitored.Expert commentary: The authors discuss the selection of the best variants to be included in the GRS, and the potential utility of such scores in different clinical settings. The limitations of the current data sets and the way forward in the next 5 years is discussed. |
| Databáze: | OpenAIRE |
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