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Mendeley readers
| Title |
Functional annotation signatures of disease susceptibility loci improve SNP association analysis
|
|---|---|
| Published in |
BMC Genomics, May 2014
|
| DOI | 10.1186/1471-2164-15-398 |
| Pubmed ID | |
| Authors |
Edwin S Iversen, Gary Lipton, Merlise A Clyde, Alvaro NA Monteiro |
| Abstract |
Genetic association studies are conducted to discover genetic loci that contribute to an inherited trait, identify the variants behind these associations and ascertain their functional role in determining the phenotype. To date, functional annotations of the genetic variants have rarely played more than an indirect role in assessing evidence for association. Here, we demonstrate how these data can be systematically integrated into an association study's analysis plan. |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| United Kingdom | 2 | 4% |
| Italy | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 42 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 24% |
| Researcher | 11 | 22% |
| Student > Bachelor | 6 | 12% |
| Student > Master | 5 | 10% |
| Other | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 41% |
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Mathematics | 4 | 8% |
| Computer Science | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 4 | 8% |