Deep sequencing of HPV16 genomes: A new high-throughput tool for exploring the carcinogenicity and natural history of HPV16 infection

For unknown reasons, there is huge variability in risk conferred by different HPV types and, remarkably, strong differences even between closely related variant lineages within each type. HPV16 is a uniquely powerful carcinogenic type, causing approximately half of cervical cancer and most other HPV...

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Bibliographic Details
Main Authors: Michael Cullen, Joseph F. Boland, Mark Schiffman, Xijun Zhang, Nicolas Wentzensen, Qi Yang, Zigui Chen, Kai Yu, Jason Mitchell, David Roberson, Sara Bass, Laurie Burdette, Moara Machado, Sarangan Ravichandran, Brian Luke, Mitchell J. Machiela, Mark Andersen, Matt Osentoski, Michael Laptewicz, Sholom Wacholder, Ashlie Feldman, Tina Raine-Bennett, Thomas Lorey, Philip E. Castle, Meredith Yeager, Robert D. Burk, Lisa Mirabello
Format: Article
Language:English
Published: Elsevier 2015-12-01
Series:Papillomavirus Research
Online Access:http://www.sciencedirect.com/science/article/pii/S2405852115000051
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Summary:For unknown reasons, there is huge variability in risk conferred by different HPV types and, remarkably, strong differences even between closely related variant lineages within each type. HPV16 is a uniquely powerful carcinogenic type, causing approximately half of cervical cancer and most other HPV-related cancers. To permit the large-scale study of HPV genome variability and precancer/cancer, starting with HPV16 and cervical cancer, we developed a high-throughput next-generation sequencing (NGS) whole-genome method. We designed a custom HPV16 AmpliSeq™ panel that generated 47 overlapping amplicons covering 99% of the genome sequenced on the Ion Torrent Proton platform. After validating with Sanger, the current “gold standard” of sequencing, in 89 specimens with concordance of 99.9%, we used our NGS method and custom annotation pipeline to sequence 796 HPV16-positive exfoliated cervical cell specimens. The median completion rate per sample was 98.0%.Our method enabled us to discover novel SNPs, large contiguous deletions suggestive of viral integration (OR of 27.3, 95% CI 3.3–222, P=0.002), and the sensitive detection of variant lineage coinfections. This method represents an innovative high-throughput, ultra-deep coverage technique for HPV genomic sequencing, which, in turn, enables the investigation of the role of genetic variation in HPV epidemiology and carcinogenesis. Keywords: HPV16, HPV epidemiology, HPV genomics
ISSN:2405-8521