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Author, Editor(s)

Author(s):

Beggel, Bastian
Neumann-Fraune, Maria
Doering, Matthias
Lawyer, Glenn
Kaiser, Rolf
Verheyen, Jens
Lengauer, Thomas

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Not MPG Author(s):

Neumann-Fraune, Maria
Doering, Matthias
Kaiser, Rolf
Verheyen, Jens

BibTeX cite key*:

Beggel2012

Title

Title*:

Genotyping hepatitis B virus dual infections using population-based sequence data

Journal

Journal Title*:

Journal of General Virology

Journal's URL:

http://vir.sgmjournals.org/

Download URL
for the article:


Language:

English

Publisher

Publisher's
Name:

Society for General Microbiology

Publisher's URL:

http://www.sgm.ac.uk

Publisher's
Address:

Reading

ISSN:

0022-1317

Vol, No, pp, Date

Volume*:

9

Number:

93

Publishing Date:

September 2012

Pages*:

1899-1907

Number of
VG Pages:


Page Start:

1899

Page End:

1907

Sequence Number:


DOI:

10.1099/vir.0.043042-0

Note, Abstract, ©

Note:


(LaTeX) Abstract:

The hepatitis B virus (HBV) is classified into distinct genotypes A–H that are characterized by
different progression of hepatitis B and sensitivity to interferon treatment. Previous computational
genotyping methods are not robust enough regarding HBV dual infections with different
genotypes. The correct classification of HBV sequences into the present genotypes is impaired
due to multiple ambiguous sequence positions. We present a computational model that is able to
identify and genotype inter- and intragenotype dual infections using population-based sequencing
data. Model verification on synthetic data showed 100\% accuracy for intergenotype dual
infections and 36.4\% sensitivity in intragenotype dual infections. Screening patient sera (n5241)
revealed eight putative cases of intergenotype dual infection (one A–D, six A–G and one D–G)
and four putative cases of intragenotype dual infection (one A–A, two D–D and one E–E). Clonal
experiments from the original patient material confirmed three out of three of our predictions. The
method has been integrated into geno2pheno[hbv], an established web-service in clinical use for
analysing HBV sequence data. It offers exact and detailed identification of HBV genotypes in
patients with dual infections that helps to optimize antiviral therapy regimens. geno2pheno[hbv] is
available under http://www.genafor.org/g2p_hbv/index.php.

URL for the Abstract:

http://www.ncbi.nlm.nih.gov/pubmed?term=22694900

Categories,
Keywords:

virology hepatitis genotyping dual infection

HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


Download
Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computational Biology and Applied Algorithmics

Appearance:

MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:

@ARTICLE{Beggel2012,
AUTHOR = {Beggel, Bastian and Neumann-Fraune, Maria and Doering, Matthias and Lawyer, Glenn and Kaiser, Rolf and Verheyen, Jens and Lengauer, Thomas},
TITLE = {Genotyping hepatitis B virus dual infections using population-based sequence data},
JOURNAL = {Journal of General Virology},
PUBLISHER = {Society for General Microbiology},
YEAR = {2012},
NUMBER = {93},
VOLUME = {9},
PAGES = {1899--1907},
ADDRESS = {Reading},
MONTH = {September},
ISBN = {0022-1317},
DOI = {10.1099/vir.0.043042-0},
}


Entry last modified by Anja Becker, 02/11/2013
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Editor(s)
[Library]
Created
12/13/2012 02:03:30 PM
Revisions
3.
2.
1.
0.
Editor(s)
Anja Becker
Manuel Lamotte-Schubert
Bastian Beggel
Bastian Beggel
Edit Dates
11.02.2013 14:22:08
21.12.2012 08:36:22
19.12.2012 13:39:00
13.12.2012 14:03:30