| Title |
Large-Scale Genomic Biobanks and Cardiovascular Disease
|
|---|---|
| Published in |
Current Cardiology Reports, March 2018
|
| DOI | 10.1007/s11886-018-0969-8 |
| Pubmed ID | |
| Authors |
Aeron M. Small, Christopher J. O’Donnell, Scott M. Damrauer |
| Abstract |
Cardiovascular disease is a leading cause of morbidity and mortality worldwide and is the focus of extensive biomedical research. Large genetic consortia combining data from many traditional prospective cohort and ascertained case-control study designs have facilitated the discovery of genetic associations for a variety of cardiovascular diseases including diabetes, coronary artery disease, and hypertension. Biobank-based genetic studies offer an alternative whereby large populations are genotyped and linked to electronic health records. Biobank sample sizes worldwide have surpassed even the largest genetic consortia and have yielded key insights into the genetic determinants of both common and rare cardiovascular phenotypes. Herein, we provide an overview of the largest genomic biobanks and discuss the relevant advantages and challenges inherent to the biobank model of cohort generation and genomic study design. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Student > Ph. D. Student | 4 | 12% |
| Researcher | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 27% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 36% |
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 14 March 2018.
All research outputs
#18,590,133
of 23,026,672 outputs
Outputs from Current Cardiology Reports
#747
of 1,003 outputs
Outputs of similar age
#258,490
of 332,633 outputs
Outputs of similar age from Current Cardiology Reports
#15
of 23 outputs
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