Literature DB >> 29967650

Molecular evolution methods to study HIV-1 epidemics.

Juan Á Patiño-Galindo1,1, Fernando González-Candelas2,3,2,3.   

Abstract

Nucleotide sequences of HIV isolates are obtained routinely to evaluate the presence of resistance mutations to antiretroviral drugs. But, beyond their clinical use, these and other viral sequences include a wealth of information that can be used to better understand and characterize the epidemiology of HIV in relevant populations. In this review, we provide a brief overview of the main methods used to analyze HIV sequences, the data bases where reference sequences can be obtained, and some caveats about the possible applications for public health of these analyses, along with some considerations about their limitations and correct usage to derive robust and reliable conclusions.

Entities:  

Keywords:  HIV; molecular epidemiology; phylogenetics; transmission cluster

Year:  2018        PMID: 29967650      PMCID: PMC6021815          DOI: 10.2217/fvl-2017-0159

Source DB:  PubMed          Journal:  Future Virol        ISSN: 1746-0794            Impact factor:   1.831


  54 in total

1.  HIV-1 pol gene variation is sufficient for reconstruction of transmissions in the era of antiretroviral therapy.

Authors:  Stéphane Hué; Jonathan P Clewley; Patricia A Cane; Deenan Pillay
Journal:  AIDS       Date:  2004-03-26       Impact factor: 4.177

2.  Genetic analysis reveals the complex structure of HIV-1 transmission within defined risk groups.

Authors:  Stéphane Hué; Deenan Pillay; Jonathan P Clewley; Oliver G Pybus
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-14       Impact factor: 11.205

3.  Molecular epidemiology of viral diseases in the era of next generation sequencing.

Authors:  Mayra Cruz-Rivera; Joseph C Forbi; Lilian H T Yamasaki; Carlos A Vazquez-Chacon; Armando Martinez-Guarneros; Juan C Carpio-Pedroza; Alejandro Escobar-Gutiérrez; Karina Ruiz-Tovar; Salvador Fonseca-Coronado; Gilberto Vaughan
Journal:  J Clin Virol       Date:  2013-05-29       Impact factor: 3.168

Review 4.  Coalescents and genealogical structure under neutrality.

Authors:  P Donnelly; S Tavaré
Journal:  Annu Rev Genet       Date:  1995       Impact factor: 16.830

5.  Phylogenetic analysis of an epidemic outbreak of acute hepatitis C in HIV-infected patients by ultra-deep pyrosequencing.

Authors:  Noelia Caro-Pérez; María Martínez-Rebollar; Josep Gregori; Josep Quer; Patricia González; Martina Gambato; Neris García-González; Fernando González-Candelas; Josep Costa; Juan Ignacio Esteban; Josep Mallolas; Xavier Forns; Montse Laguno; Sofía Pérez-Del-Pulgar
Journal:  J Clin Virol       Date:  2017-05-10       Impact factor: 3.168

6.  1970s and 'Patient 0' HIV-1 genomes illuminate early HIV/AIDS history in North America.

Authors:  Michael Worobey; Thomas D Watts; Richard A McKay; Marc A Suchard; Timothy Granade; Dirk E Teuwen; Beryl A Koblin; Walid Heneine; Philippe Lemey; Harold W Jaffe
Journal:  Nature       Date:  2016-10-26       Impact factor: 49.962

7.  MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space.

Authors:  Fredrik Ronquist; Maxim Teslenko; Paul van der Mark; Daniel L Ayres; Aaron Darling; Sebastian Höhna; Bret Larget; Liang Liu; Marc A Suchard; John P Huelsenbeck
Journal:  Syst Biol       Date:  2012-02-22       Impact factor: 15.683

8.  The substitution rate of HIV-1 subtypes: a genomic approach.

Authors:  Juan Ángel Patiño-Galindo; Fernando González-Candelas
Journal:  Virus Evol       Date:  2017-10-20

9.  HIV-1 Protease, Reverse Transcriptase, and Integrase Variation.

Authors:  Soo-Yon Rhee; Kris Sankaran; Vici Varghese; Mark A Winters; Christopher B Hurt; Joseph J Eron; Neil Parkin; Susan P Holmes; Mark Holodniy; Robert W Shafer
Journal:  J Virol       Date:  2016-06-10       Impact factor: 5.103

10.  Automated analysis of phylogenetic clusters.

Authors:  Manon Ragonnet-Cronin; Emma Hodcroft; Stéphane Hué; Esther Fearnhill; Valerie Delpech; Andrew J Leigh Brown; Samantha Lycett
Journal:  BMC Bioinformatics       Date:  2013-11-06       Impact factor: 3.169

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