| Title |
Prediction of HLA Class II Alleles Using SNPs in an African Population
|
|---|---|
| Published in |
PLOS ONE, June 2012
|
| DOI | 10.1371/journal.pone.0040206 |
| Pubmed ID | |
| Authors |
Fasil Tekola Ayele, Elena Hailu, Chris Finan, Abraham Aseffa, Gail Davey, Melanie J. Newport, Charles N. Rotimi, Adebowale Adeyemo |
| Abstract |
Despite the importance of the human leukocyte antigen (HLA) gene locus in research and clinical practice, direct HLA typing is laborious and expensive. Furthermore, the analysis requires specialized software and expertise which are unavailable in most developing country settings. Recently, in silico methods have been developed for predicting HLA alleles using single nucleotide polymorphisms (SNPs). However, the utility of these methods in African populations has not been systematically evaluated. |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| France | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 31% |
| Student > Ph. D. Student | 7 | 20% |
| Student > Postgraduate | 3 | 9% |
| Student > Master | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 31% |
| Biochemistry, Genetics and Molecular Biology | 7 | 20% |
| Medicine and Dentistry | 5 | 14% |
| Immunology and Microbiology | 3 | 9% |
| Computer Science | 2 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 20% |