Systematic analysis of Kaposi’s sarcoma (KS)-associated herpesvirus genomes from a KS case-control study in Cameroon: Evidence of dual infections but no association between viral sequence variation and KS risk

Autor: Vickie A. Marshall, Nicholas C. Fisher, Charles A. Goodman, Elena M. Cornejo Castro, Isabella Liu, Sirish Khanal, Benjamin M. Holdridge, Abigail L. Thorpe, Nazzarena Labo, Kristen B. Stolka, Jennifer J. Hemingway‐Foday, Mahamat Abassora, Paul N'Dom, Jennifer S. Smith, Neneh Sallah, Anne L. Palser, Paul Kellam, Brandon F. Keele, Denise Whitby
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Int J Cancer
Popis: In sub-Saharan Africa, Kaposi's sarcoma-associated herpesvirus (KSHV) is endemic, and Kaposi's sarcoma (KS) is a significant public health problem. Until recently, KSHV genotype analysis was performed using variable gene regions, representing a small fraction of the genome, and thus the contribution of sequence variation to viral transmission or pathogenesis are understudied. We performed near full-length KSHV genome sequence analysis on samples from 43 individuals selected from a large Cameroonian KS case-control study. KSHV genomes were obtained from 21 KS patients and 22 control participants. Phylogenetic analysis of the K1 region indicated the majority of sequences were A5 or B1 subtypes and all three K15 alleles were represented. Unique polymorphisms in the KSHV genome were observed including large gene deletions. We found evidence of multiple distinct KSHV genotypes in three individuals. Additionally, our analyses indicate that recombination is prevalent suggesting that multiple KSHV infections may not be uncommon overall. Most importantly, a detailed analysis of KSHV genomes from KS patients and control participants did not find a correlation between viral sequence variations and disease. Our study is the first to systematically compare near full-length KSHV genome sequences between KS cases and controls in the same endemic region to identify possible sequence variations associated with disease risk.
Databáze: OpenAIRE