| dc.creator | Araújo, Thessika Hialla Almeida | |
| dc.creator | Barreto, Fernanda Khouri | |
| dc.creator | Alcantara, Luiz Carlos Júnior | |
| dc.creator | Miranda, Aline Cristina Andrade Mota | |
| dc.date | 2014-06-04T17:50:24Z | |
| dc.date | 2014-06-04T17:50:24Z | |
| dc.date | 2014 | |
| dc.date.accessioned | 2023-09-26T22:24:39Z | |
| dc.date.available | 2023-09-26T22:24:39Z | |
| dc.identifier | ARAUJO, T. H. et al. Inferences about the global scenario of human T-cell lymphotropic virus type 1 infection using data mining of viral sequences. Memórias do Instituto Oswaldo Cruz, v. 109, p. 1-4, 2014. | |
| dc.identifier | 0074-0276 | |
| dc.identifier | https://www.arca.fiocruz.br/handle/icict/7792 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8878900 | |
| dc.description | Human T-cell lymphotropic virus type 1 (HTLV-1) is mainly associated with two diseases: tropical spastic paraparesis/HTLV-1-associated myelopathy (TSP/HAM) and adult T-cell leukaemia/lymphoma. This retrovirus infects five-10 million individuals throughout the world. Previously, we developed a database that annotates sequence data from GenBank and the present study aimed to describe the clinical, molecular and epidemiological scenarios of HTLV-1 infection through the stored sequences in this database. A total of 2,545 registered complete and partial sequences of HTLV-1 were collected and 1,967 (77.3%) of those sequences represented unique isolates. Among these isolates, 93% contained geographic origin information and only 39% were related to any clinical status. A total of 1,091 sequences contained information about the geographic origin and viral subtype and 93% of these sequences were identified as subtype “a”. Ethnicity data are very scarce. Regarding clinical status data, 29% of the sequences were generated from TSP/HAM and 67.8% from healthy carrier individuals. Although the data mining enabled some inferences about specific aspects of HTLV-1 infection to be made, due to the relative scarcity of data of available sequences, it was not possible to delineate a global scenario of HTLV-1 infection. | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Fiocruz | |
| dc.rights | open access | |
| dc.subject | HTLV-1 data mining | |
| dc.subject | HTLV-1 database | |
| dc.title | Inferences about the global scenario of human T-cell lymphotropic virus type 1 infection using data mining of viral sequences | |
| dc.type | Article | |
