Genetics of coronary artery disease: discovery, biology and clinical translation

By A. Khera, Sekar Kathiresan. 2017

609 citations recorded by the source corpus.

Coronary artery disease is the leading global cause of mortality. Long recognized to be heritable, recent advances have started to unravel the genetic architecture of the disease. Common variant association studies have linked approximately 60 genetic loci to coronary risk. Large-scale gene sequencing efforts and functional studies have facilitated a better understanding of causal risk factors, elucidated underlying biology and informed the development of new therapeutics. Moving forwards, genetic testing could enable precision medicine approaches by identifying subgroups of patients at increased risk of coronary artery disease or those with a specific driving pathophysiology in whom a therapeutic or preventive approach would be most useful.

Subfields: Cardiology and Cardiovascular Medicine, Genetics, Surgery

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. N. Verweij
2. P. van der Harst

In Genetics

1. Michael Inouye
2. Gad Abraham
3. Frank Dudbridge
4. J. Thompson
5. N. Verweij
6. P. van der Harst
7. J. Bowden
8. George Davey Smith

In Surgery

1. J. Thompson
2. N. Verweij
3. P. van der Harst

Citations in the corpus

• Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults Implications for Primary Prevention (2019, background): “As the heritability of CAD has been estimated to be 40% to 60%, comprehensive information on genetic susceptibility could contribute importantly to CAD risk stratification (1,2).”
• Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease (2017, methodology): “complications and might identify those with a specific driving pathophysiology in whom a particular therapeutic or preventive approach would be most useful.(11) To further our knowledge of the genetic architecture of CAD, we performed a de novo GWAS of the UK Biobank resource and meta-analyses with ”