Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/75206
Título: Genetic and statistical study of HIV integration in the human genome
Autor: Sequeira, Inês J.
Gonçalves, Juliana
Moreira, Elsa
Mexia, João T.
Rueff, José
Brás, Aldina
Palavras-chave: ANOVA
HIV
Human Genome
non-parametric tests
Physics and Astronomy(all)
SDG 3 - Good Health and Well-being
Data: 19-Nov-2013
Editora: AIP - American Institute of Physics
Citação: Sequeira, I. J., Gonçalves, J., Moreira, E., Mexia, J. T., Rueff, J., & Brás, A. (2013). Genetic and statistical study of HIV integration in the human genome. In T. Simos, G. Psihoyios, & C. Tsitouras (Eds.), 11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013 (pp. 813-816). (AIP Conference Proceedings; Vol. 1558). AIP - American Institute of Physics. https://doi.org/10.1063/1.4825619
Resumo: Integration of the human immunodeficiency virus (HIV) DNA into human genome is essential for HIV-induced disease. The human genome is organized into chromosomes and within these we can define the chromosomal fragile sites. Our aim is to contribute to help clarifying the integration sites preferences of HIV1 and HIV2 in fragile or non-fragile regions. Here we apply statistical techniques, namely non-parametric tests and analysis of variance for analyzing two sets of data of HIV1 and HIV2 integrations in the human genome. The results show that the integrations occur significantly with more intensity in the non-fragile regions of the human genome and that the HIV1 in particular has the major contribution to this fact. This study could have implications in human disease.
Descrição: This work was partially supported by CIGMH (FCM/UNL), PEST-OE/SAU/UI0009/2011 and CMA/FCT/UNL, under the project PEst-OE/MAT/UI0297/2011.
Peer review: yes
URI: http://www.scopus.com/inward/record.url?scp=84887510915&partnerID=8YFLogxK
DOI: https://doi.org/10.1063/1.4825619
ISBN: 9780735411845
ISSN: 0094-243X
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