| Title |
Genetic Profiling Using Genome-Wide Significant Coronary Artery Disease Risk Variants Does Not Improve the Prediction of Subclinical Atherosclerosis: The Cardiovascular Risk in Young Finns Study, the Bogalusa Heart Study and the Health 2000 Survey – A Meta-Analysis of Three Independent Studies
|
|---|---|
| Published in |
PLOS ONE, January 2012
|
| DOI | 10.1371/journal.pone.0028931 |
| Pubmed ID | |
| Authors |
Jussi A. Hernesniemi, Ilkka Seppälä, Leo-Pekka Lyytikäinen, Nina Mononen, Niku Oksala, Nina Hutri-Kähönen, Markus Juonala, Leena Taittonen, Erin N. Smith, Nicholas J. Schork, Wei Chen, Sathanur R. Srinivasan, Gerald S. Berenson, Sarah S. Murray, Tomi Laitinen, Antti Jula, Johannes Kettunen, Samuli Ripatti, Reijo Laaksonen, Jorma Viikari, Mika Kähönen, Olli T. Raitakari, Terho Lehtimäki |
| Abstract |
Genome-wide association studies (GWASs) have identified a large number of variants (SNPs) associating with an increased risk of coronary artery disease (CAD). Recently, the CARDIoGRAM consortium published a GWAS based on the largest study population so far. They successfully replicated twelve already known associations and discovered thirteen new SNPs associating with CAD. We examined whether the genetic profiling of these variants improves prediction of subclinical atherosclerosis--i.e., carotid intima-media thickness (CIMT) and carotid artery elasticity (CAE)--beyond classical risk factors. |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 24% |
| Student > Ph. D. Student | 10 | 18% |
| Student > Master | 7 | 13% |
| Student > Postgraduate | 5 | 9% |
| Professor | 5 | 9% |
| Other | 10 | 18% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 35% |
| Agricultural and Biological Sciences | 13 | 24% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Social Sciences | 2 | 4% |
| Psychology | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 10 | 18% |