{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:57:05Z","timestamp":1774371425943,"version":"3.50.1"},"reference-count":38,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2017,8,11]],"date-time":"2017-08-11T00:00:00Z","timestamp":1502409600000},"content-version":"vor","delay-in-days":222,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of the International AIDS Society"],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p><jats:bold>Introduction<\/jats:bold>: Transmitted drug\u2010resistance mutations (TDRM) may hamper successful anti\u2010HIV\u20101 therapy and impact future control of the HIV\u20101 epidemic. Recently infected, therapy\u2010na\u00efve individuals are best suited for surveillance of such TDRM. In this study, TDRM, detected by next\u2010generation sequencing (NGS) were compared to those identified by Sanger\u2010based population sequencing (SBS) in recently infected HIV\u20101 patients.<\/jats:p><jats:p><jats:bold>Methods<\/jats:bold>: Historical samples from 80 recently infected HIV\u20101 patients, diagnosed between 2000 and 2014, were analysed by MiSeq (NGS) and ABI (SBS). DeepChek\u2010HIV (ABL) was used for interpretation of the results.<\/jats:p><jats:p><jats:bold>Results<\/jats:bold>: Most patients were males (80%); Men who have sex with men (MSM) was the major transmission group (58.8%). Overall, TDRM were detected in 31.3% of patients by NGS and 8.8% by SBS, with SBS TDRM restricted to persons infected with subtype B. All SBS\u2010detected TDRM were identified by NGS. The prevalence of TDRM impacting protease inhibitors (PI), nucleoside reverse transcriptase inhibitors (NRTI) and non\u2010nucleoside reverse transcriptase inhibitors (NNRTI) was 11.3, 26.2 7.5%, respectively, in NGS analyses and 0, 3.8 and 5%, respectively, in SBS analyses. More patients with NGS and SBS TDRM were identified in 2008\u20132014 (37.2% or 13.9%, respectively) compared to 2000\u20132007 (24.3% or 2.7%, respectively), and a significantly greater number of these patients had multiple NGS TDRM. The most abundant, albeit, minor\u2010frequency RT TDRM, were the K65R and D67N, while K103N, M184V and T215S were high\u2010frequency mutations. Minor TDRM did not become a major variant in later samples and did not hinder successful treatment.<\/jats:p><jats:p><jats:bold>Conclusions<\/jats:bold>: NGS can replace SBS for mutation detection and allows for the detection of low\u2010frequency TDRM not identified by SBS. Although rates of TDRM in Israel continued to increase from 2000 to 2014, minor TDRM did not become major species. The need for ongoing surveillance of low\u2010frequency TDRM should be revisited in a larger study.<\/jats:p>","DOI":"10.7448\/ias.20.1.21846","type":"journal-article","created":{"date-parts":[[2017,8,10]],"date-time":"2017-08-10T16:44:40Z","timestamp":1502383480000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Comparison between next\u2010generation and Sanger\u2010based sequencing for the detection of transmitted drug\u2010resistance mutations among recently infected HIV\u20101 patients in Israel, 2000\u20132014"],"prefix":"10.1002","volume":"20","author":[{"given":"Roy","family":"Moscona","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniela","family":"Ram","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marina","family":"Wax","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Efrat","family":"Bucris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Itzchak","family":"Levy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ella","family":"Mendelson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Orna","family":"Mor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,8,11]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/cid\/civ963"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0004724"},{"issue":"2","key":"e_1_2_11_4_1","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1177\/135965350801302S04","article-title":"Recommendations for surveillance of transmitted HIV drug resistance in countries scaling up antiretroviral treatment.","volume":"13","author":"Bennett DE","year":"2008","journal-title":"Antivir Ther"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1128\/JVI.00804-14"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.antiviral.2009.09.015"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11908-014-0401-5"},{"key":"e_1_2_11_8_1","doi-asserted-by":"crossref","unstructured":"RamD LeshkowitzD GonzalezD ForerR LevyI ChowersM et al.Evaluation of GS Junior and MiSeq next\u2010generation sequencing technologies as an alternative to Trugene population sequencing in the clinical HIV laboratory.J Virol Methods.2015Feb;212:12\u201316.","DOI":"10.1016\/j.jviromet.2014.11.003"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1097\/QAI.0b013e3182618f05"},{"key":"e_1_2_11_10_1","unstructured":"ChemtobD2016.HIV\/AIDS in Israel: periodic epidemiological report 1981\u20132015. 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