Comparison of genotypic and virtual phenotypic drug resistance interpretations with laboratory-based phenotypes among CRF01_AE and subtype B HIV-infected individuals

© 2016 Wiley Periodicals, Inc. HIV drug resistance assessments and interpretations can be obtained from genotyping (GT), virtual phenotyping (VP) and laboratory-based phenotyping (PT). We compared resistance calls obtained from GT and VP with those from PT (GT-PT and VP-PT) among CRF01_AE and subtyp...

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Main Authors: Awachana Jiamsakul, Romanee Chaiwarith, Nicolas Durier, Sunee Sirivichayakul, Sasisopin Kiertiburanakul, Peter Van Den Eede, Rossana Ditangco, Adeeba Kamarulzaman, Patrick Ck Li, Winai Ratanasuwan, Thira Sirisanthana, P. C.K. Li, M. P. Lee, N. Kumarasamy, S. Saghayam, S. Pujari, K. Joshi, T. P. Merati, F. Yuliana, C. K.C. Lee, B. L.H. Sim, L. Y. Ong, M. Mustafa, N. Nordin, R. O. Bantique, Y. M.A. Chen, Y. T. Lin, P. Phanuphak, S. Sirivichayakul, S. Sungkanuparph, L. Chumla, N. Sanmeema, J. Praparattanapan, P. Kantipong, P. Kambua, R. Sriondee, R. Kantor, A. H. Sohn, T. Singtoroj, D. A. Cooper, M. G. Law, D. C. Boettiger
Other Authors: University of New South Wales (UNSW) Australia
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Published: 2018
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spelling th-mahidol.408842019-03-14T15:01:48Z Comparison of genotypic and virtual phenotypic drug resistance interpretations with laboratory-based phenotypes among CRF01_AE and subtype B HIV-infected individuals Awachana Jiamsakul Romanee Chaiwarith Nicolas Durier Sunee Sirivichayakul Sasisopin Kiertiburanakul Peter Van Den Eede Rossana Ditangco Adeeba Kamarulzaman Patrick Ck Li Winai Ratanasuwan Thira Sirisanthana P. C.K. Li M. P. Lee N. Kumarasamy S. Saghayam S. Pujari K. Joshi T. P. Merati F. Yuliana C. K.C. Lee B. L.H. Sim L. Y. Ong M. Mustafa N. Nordin R. O. Bantique Y. M.A. Chen Y. T. Lin P. Phanuphak S. Sirivichayakul S. Sungkanuparph L. Chumla N. Sanmeema J. Praparattanapan P. Kantipong P. Kambua R. Sriondee R. Kantor A. H. Sohn T. Singtoroj D. A. Cooper M. G. Law D. C. Boettiger University of New South Wales (UNSW) Australia Chiang Mai University amfAR - The Foundation for AIDS Research Chulalongkorn University Mahidol University Janssen Diagnostics Gokila University of Malaya Medical Centre Queen Elizabeth Hospital Hong Kong VHS Medical Centre India Institute of Infectious Diseases Universitas Udayana Hospital Sungai Buloh Hospital Raja Perempuan Zainab II Kaohsiung Medical University The HIV Netherlands Australia Thailand Research Collaboration Chiangrai Prachanukroh Hospital Brown University Immunology and Microbiology © 2016 Wiley Periodicals, Inc. HIV drug resistance assessments and interpretations can be obtained from genotyping (GT), virtual phenotyping (VP) and laboratory-based phenotyping (PT). We compared resistance calls obtained from GT and VP with those from PT (GT-PT and VP-PT) among CRF01_AE and subtype B HIV-1 infected patients. GT predictions were obtained from the Stanford HIV database. VP and PT were obtained from Janssen Diagnostics BVBA's vircoTypeTMHIV-1 and Antivirogram®, respectively. With PT assumed as the "gold standard," the area under the curve (AUC) and the Bland-Altman plot were used to assess the level of agreement in resistance interpretations. A total of 80 CRF01_AE samples from Asia and 100 subtype B from Janssen Diagnostics BVBA's database were analysed. CRF01_AE showed discordances ranging from 3 to 27 samples for GT-PT and 1 to 20 samples for VP-PT. The GT-PT and VP-PT AUCs were 0.76-0.97 and 0.81-0.99, respectively. Subtype B showed 3-61 discordances for GT-PT and 2-75 discordances for VP-PT. The AUCs ranged from 0.55 to 0.95 for GT-PT and 0.55 to 0.97 for VP-PT. Didanosine had the highest proportion of discordances and/or AUC in all comparisons. The patient with the largest didanosine FC difference in each subtype harboured Q151M mutation. Overall, GT and VP predictions for CRF01_AE performed significantly better than subtype B for three NRTIs. Although discrepancies exist, GT and VP resistance interpretations in HIV-1 CRF01_AE strains were highly robust in comparison with the gold-standard PT. © 2015 Wiley Periodicals, Inc. 2018-12-11T03:06:34Z 2019-03-14T08:01:48Z 2018-12-11T03:06:34Z 2019-03-14T08:01:48Z 2016-02-01 Article Journal of Medical Virology. Vol.88, No.2 (2016), 234-243 10.1002/jmv.24320 10969071 01466615 2-s2.0-84954399287 https://repository.li.mahidol.ac.th/handle/123456789/40884 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84954399287&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Immunology and Microbiology
spellingShingle Immunology and Microbiology
Awachana Jiamsakul
Romanee Chaiwarith
Nicolas Durier
Sunee Sirivichayakul
Sasisopin Kiertiburanakul
Peter Van Den Eede
Rossana Ditangco
Adeeba Kamarulzaman
Patrick Ck Li
Winai Ratanasuwan
Thira Sirisanthana
P. C.K. Li
M. P. Lee
N. Kumarasamy
S. Saghayam
S. Pujari
K. Joshi
T. P. Merati
F. Yuliana
C. K.C. Lee
B. L.H. Sim
L. Y. Ong
M. Mustafa
N. Nordin
R. O. Bantique
Y. M.A. Chen
Y. T. Lin
P. Phanuphak
S. Sirivichayakul
S. Sungkanuparph
L. Chumla
N. Sanmeema
J. Praparattanapan
P. Kantipong
P. Kambua
R. Sriondee
R. Kantor
A. H. Sohn
T. Singtoroj
D. A. Cooper
M. G. Law
D. C. Boettiger
Comparison of genotypic and virtual phenotypic drug resistance interpretations with laboratory-based phenotypes among CRF01_AE and subtype B HIV-infected individuals
description © 2016 Wiley Periodicals, Inc. HIV drug resistance assessments and interpretations can be obtained from genotyping (GT), virtual phenotyping (VP) and laboratory-based phenotyping (PT). We compared resistance calls obtained from GT and VP with those from PT (GT-PT and VP-PT) among CRF01_AE and subtype B HIV-1 infected patients. GT predictions were obtained from the Stanford HIV database. VP and PT were obtained from Janssen Diagnostics BVBA's vircoTypeTMHIV-1 and Antivirogram®, respectively. With PT assumed as the "gold standard," the area under the curve (AUC) and the Bland-Altman plot were used to assess the level of agreement in resistance interpretations. A total of 80 CRF01_AE samples from Asia and 100 subtype B from Janssen Diagnostics BVBA's database were analysed. CRF01_AE showed discordances ranging from 3 to 27 samples for GT-PT and 1 to 20 samples for VP-PT. The GT-PT and VP-PT AUCs were 0.76-0.97 and 0.81-0.99, respectively. Subtype B showed 3-61 discordances for GT-PT and 2-75 discordances for VP-PT. The AUCs ranged from 0.55 to 0.95 for GT-PT and 0.55 to 0.97 for VP-PT. Didanosine had the highest proportion of discordances and/or AUC in all comparisons. The patient with the largest didanosine FC difference in each subtype harboured Q151M mutation. Overall, GT and VP predictions for CRF01_AE performed significantly better than subtype B for three NRTIs. Although discrepancies exist, GT and VP resistance interpretations in HIV-1 CRF01_AE strains were highly robust in comparison with the gold-standard PT. © 2015 Wiley Periodicals, Inc.
author2 University of New South Wales (UNSW) Australia
author_facet University of New South Wales (UNSW) Australia
Awachana Jiamsakul
Romanee Chaiwarith
Nicolas Durier
Sunee Sirivichayakul
Sasisopin Kiertiburanakul
Peter Van Den Eede
Rossana Ditangco
Adeeba Kamarulzaman
Patrick Ck Li
Winai Ratanasuwan
Thira Sirisanthana
P. C.K. Li
M. P. Lee
N. Kumarasamy
S. Saghayam
S. Pujari
K. Joshi
T. P. Merati
F. Yuliana
C. K.C. Lee
B. L.H. Sim
L. Y. Ong
M. Mustafa
N. Nordin
R. O. Bantique
Y. M.A. Chen
Y. T. Lin
P. Phanuphak
S. Sirivichayakul
S. Sungkanuparph
L. Chumla
N. Sanmeema
J. Praparattanapan
P. Kantipong
P. Kambua
R. Sriondee
R. Kantor
A. H. Sohn
T. Singtoroj
D. A. Cooper
M. G. Law
D. C. Boettiger
format Article
author Awachana Jiamsakul
Romanee Chaiwarith
Nicolas Durier
Sunee Sirivichayakul
Sasisopin Kiertiburanakul
Peter Van Den Eede
Rossana Ditangco
Adeeba Kamarulzaman
Patrick Ck Li
Winai Ratanasuwan
Thira Sirisanthana
P. C.K. Li
M. P. Lee
N. Kumarasamy
S. Saghayam
S. Pujari
K. Joshi
T. P. Merati
F. Yuliana
C. K.C. Lee
B. L.H. Sim
L. Y. Ong
M. Mustafa
N. Nordin
R. O. Bantique
Y. M.A. Chen
Y. T. Lin
P. Phanuphak
S. Sirivichayakul
S. Sungkanuparph
L. Chumla
N. Sanmeema
J. Praparattanapan
P. Kantipong
P. Kambua
R. Sriondee
R. Kantor
A. H. Sohn
T. Singtoroj
D. A. Cooper
M. G. Law
D. C. Boettiger
author_sort Awachana Jiamsakul
title Comparison of genotypic and virtual phenotypic drug resistance interpretations with laboratory-based phenotypes among CRF01_AE and subtype B HIV-infected individuals
title_short Comparison of genotypic and virtual phenotypic drug resistance interpretations with laboratory-based phenotypes among CRF01_AE and subtype B HIV-infected individuals
title_full Comparison of genotypic and virtual phenotypic drug resistance interpretations with laboratory-based phenotypes among CRF01_AE and subtype B HIV-infected individuals
title_fullStr Comparison of genotypic and virtual phenotypic drug resistance interpretations with laboratory-based phenotypes among CRF01_AE and subtype B HIV-infected individuals
title_full_unstemmed Comparison of genotypic and virtual phenotypic drug resistance interpretations with laboratory-based phenotypes among CRF01_AE and subtype B HIV-infected individuals
title_sort comparison of genotypic and virtual phenotypic drug resistance interpretations with laboratory-based phenotypes among crf01_ae and subtype b hiv-infected individuals
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/40884
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