| Title |
Pathogenesis of coronary artery disease: focus on genetic risk factors and identification of genetic variants
|
|---|---|
| Published in |
The Application of Clinical Genetics, January 2014
|
| DOI | 10.2147/tacg.s35301 |
| Pubmed ID | |
| Authors |
Sergi Sayols-Baixeras, Carla Lluís-Ganella, Gavin Lucas, Roberto Elosua |
| Abstract |
Coronary artery disease (CAD) is the leading cause of death and disability worldwide, and its prevalence is expected to increase in the coming years. CAD events are caused by the interplay of genetic and environmental factors, the effects of which are mainly mediated through cardiovascular risk factors. The techniques used to study the genetic basis of these diseases have evolved from linkage studies to candidate gene studies and genome-wide association studies. Linkage studies have been able to identify genetic variants associated with monogenic diseases, whereas genome-wide association studies have been more successful in determining genetic variants associated with complex diseases. Currently, genome-wide association studies have identified approximately 40 loci that explain 6% of the heritability of CAD. The application of this knowledge to clinical practice is challenging, but can be achieved using various strategies, such as genetic variants to identify new therapeutic targets, personal genetic information to improve disease risk prediction, and pharmacogenomics. The main aim of this narrative review is to provide a general overview of our current understanding of the genetics of coronary artery disease and its potential clinical utility. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| Brazil | 1 | <1% |
| Israel | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 313 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 83 | 26% |
| Student > Master | 47 | 15% |
| Student > Ph. D. Student | 24 | 8% |
| Student > Postgraduate | 21 | 7% |
| Researcher | 19 | 6% |
| Other | 32 | 10% |
| Unknown | 92 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 96 | 30% |
| Biochemistry, Genetics and Molecular Biology | 37 | 12% |
| Nursing and Health Professions | 26 | 8% |
| Agricultural and Biological Sciences | 23 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 3% |
| Other | 33 | 10% |
| Unknown | 95 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 February 2014.
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#20,964,263
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