Genetic and statistical study of HIV integration in the human genome

Inês J. Sequeira; Juliana Gonçalves; Elsa Moreira; João T. Mexia; José Rueff; Aldina Brás

doi:10.1063/1.4825619

Genetic and statistical study of HIV integration in the human genome

Inês J. Sequeira, Juliana Gonçalves, Elsa Moreira, João T. Mexia, José Rueff, Aldina Brás

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

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.

Original language	English
Title of host publication	11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013
Editors	T. Simos, G. Psihoyios, C. Tsitouras
Publisher	AIP - American Institute of Physics
Pages	813-816
Number of pages	4
ISBN (Print)	9780735411845
DOIs	https://doi.org/10.1063/1.4825619
Publication status	Published - 19 Nov 2013
Event	11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013 - Rhodes, Greece Duration: 21 Sept 2013 → 27 Sept 2013

Publication series

Name	AIP Conference Proceedings
Publisher	American Institute of Physics Inc.
Volume	1558
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013
Country/Territory	Greece
City	Rhodes
Period	21/09/13 → 27/09/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

ANOVA
HIV
Human Genome
non-parametric tests

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10.1063/1.4825619Licence: CC BY

Genetic and statistical study of HIV integration in the human genomeFinal published version, 978 KBLicence: CC BY

Cite this

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

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title = "Genetic and statistical study of HIV integration in the human genome",

abstract = "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.",

keywords = "ANOVA, HIV, Human Genome, non-parametric tests",

author = "Sequeira, \{In{\^e}s J.\} and Juliana Gon{\c c}alves and Elsa Moreira and Mexia, \{Jo{\~a}o T.\} and Jos{\'e} Rueff and Aldina Br{\'a}s",

note = "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.; 11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013 ; Conference date: 21-09-2013 Through 27-09-2013",

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Sequeira, IJ, Gonçalves, J, Moreira, E , Mexia, JT , 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. AIP Conference Proceedings, vol. 1558, AIP - American Institute of Physics, pp. 813-816, 11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013, Rhodes, Greece, 21/09/13. https://doi.org/10.1063/1.4825619

Genetic and statistical study of HIV integration in the human genome. / Sequeira, Inês J.; Gonçalves, Juliana; Moreira, Elsa et al.
11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013. ed. / T. Simos; G. Psihoyios; C. Tsitouras. AIP - American Institute of Physics, 2013. p. 813-816 (AIP Conference Proceedings; Vol. 1558).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sequeira, Inês J.

AU - Gonçalves, Juliana

AU - Moreira, Elsa

AU - Mexia, João T.

AU - Rueff, José

AU - Brás, Aldina

N1 - 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.

PY - 2013/11/19

Y1 - 2013/11/19

N2 - 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.

AB - 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.

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ER -

Sequeira IJ, Gonçalves J, Moreira E , Mexia JT , Rueff J , Brás A. Genetic and statistical study of HIV integration in the human genome. In Simos T, Psihoyios G, Tsitouras C, editors, 11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013. AIP - American Institute of Physics. 2013. p. 813-816. (AIP Conference Proceedings). doi: 10.1063/1.4825619

Genetic and statistical study of HIV integration in the human genome

Abstract

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UN SDGs

Keywords

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