Literature DB >> 19754274

A whole genome study and identification of specific carcinogenic regions of the human papilloma viruses.

Abdoulaye Baniré Diallo1, Dunarel Badescu, Mathieu Blanchette, Vladimir Makarenkov.   

Abstract

In this article, we undertake a study of the evolution of human papillomaviruses (HPV), whose potential to cause cervical cancer is well known. First, we found that the existing HPV groups are monophyletic and that the high risk of carcinogenicity taxa are usually clustered together. Then, we present a new algorithm for analyzing the information content of multiple sequence alignments in relation to epidemiologic carcinogenicity data to identify regions that would warrant additional experimental analyses. The new algorithm is based on a sliding window procedure and a p-value computation to identify genomic regions that are specific to HPVs causing disease. Examination of the genomes of 83 HPVs allowed us to identify specific regions that might be influenced by insertions, by deletions, or simply by mutations, and that may be of interest for further analyses. Supplementary Material is provided (see online Supplementary Material at www.libertonline.com ).

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Year:  2009        PMID: 19754274     DOI: 10.1089/cmb.2009.0091

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  3 in total

1.  A population-based prospective study of carcinogenic human papillomavirus variant lineages, viral persistence, and cervical neoplasia.

Authors:  Mark Schiffman; Ana Cecilia Rodriguez; Zigui Chen; Sholom Wacholder; Rolando Herrero; Allan Hildesheim; Rob Desalle; Brian Befano; Kai Yu; Mahboobeh Safaeian; Mark E Sherman; Jorge Morales; Diego Guillen; Mario Alfaro; Martha Hutchinson; Diane Solomon; Philip E Castle; Robert D Burk
Journal:  Cancer Res       Date:  2010-03-30       Impact factor: 12.701

2.  Detecting genomic regions associated with a disease using variability functions and Adjusted Rand Index.

Authors:  Dunarel Badescu; Alix Boc; Abdoulaye Baniré Diallo; Vladimir Makarenkov
Journal:  BMC Bioinformatics       Date:  2011-10-05       Impact factor: 3.169

3.  Analysis of CpG methylation sites and CGI among human papillomavirus DNA genomes.

Authors:  Silvia C Galván; Martha Martínez-Salazar; Víctor M Galván; Rocío Méndez; Gibran T Díaz-Contreras; Moisés Alvarado-Hermida; Rogelio Alcántara-Silva; Alejandro García-Carrancá
Journal:  BMC Genomics       Date:  2011-11-25       Impact factor: 3.969

  3 in total

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