The influence of human genetic variation on Epstein-Barr virus sequence diversity

التفاصيل البيبلوغرافية
العنوان: The influence of human genetic variation on Epstein-Barr virus sequence diversity
المؤلفون: Jacques Fellay, Huldrych F. Günthard, Sina Rüeger, Nina Khanna, Evgeny M. Zdobnov, Olivier Naret, Judith Breuer, Andri Rauch, Christian R Kahlert, Daniel P. Depledge, Dylan Lawless, Paul J. McLaren, Sofia Morfopoulou, Enos Bernasconi, Christian Hammer, Matthias Cavassini, Alexis Loetscher
المساهمون: Swiss HIV Cohort Study, Aebi-Popp, K., Anagnostopoulos, A., Battegay, M., Bernasconi, E., Böni, J., Braun, D., Bucher, H., Calmy, A., Cavassini, M., Ciuffi, A., Dollenmaier, G., Egger, M., Elzi, L., Fehr, J., Fellay, J., Furrer, H., Fux, C., Günthard, H.F., Haerry, D., Hasse, B., Hirsch, H., Hoffmann, M., Hösli, I., Huber, M., Kahlert, C.R., Kaiser, L., Keiser, O., Klimkait, T., Kottanattu, L., Kouyos, R., Kovari, H., Ledergerber, B., Martinetti, G., de Tejada, B.M., Marzolini, C., Metzner, K., Müller, N., Nicca, D., Paioni, P., Pantaleo, G., Perreau, M., Rauch, A., Rudin, C., Scherrer, A., Schmid, P., Speck, R., Stöckle, M., Tarr, P., Trkola, A., Vernazza, P., Wagner, N., Wandeler, G., Weber, R., Yerly, S.
المصدر: Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Scientific reports, vol. 11, no. 1, pp. 4586
Rüeger, Sina; Hammer, Christian; Loetscher, Alexis; McLaren, Paul J; Lawless, Dylan; Naret, Olivier; Khanna, Nina; Bernasconi, Enos; Cavassini, Matthias; Günthard, Huldrych F; Kahlert, Christian R; Rauch, Andri; Depledge, Daniel P; Morfopoulou, Sofia; Breuer, Judith; Zdobnov, Evgeny; Fellay, Jacques (2021). The influence of human genetic variation on Epstein-Barr virus sequence diversity. Scientific reports, 11(1), p. 4586. Springer Nature 10.1038/s41598-021-84070-7 <http://dx.doi.org/10.1038/s41598-021-84070-7>
سنة النشر: 2020
مصطلحات موضوعية: Epstein-Barr Virus Infections, Herpesvirus 4, Human, Science, 610 Medicine & health, Human genetic variation, Genome, Viral, Biology, medicine.disease_cause, Genome-wide association studies, Genome, Article, Virus, Cohort Studies, Immune system, hemic and lymphatic diseases, Immunogenetics, medicine, Humans, Author Correction, Pathogen, Gene, Genetics, Multidisciplinary, Genetic Variation, High-Throughput Nucleotide Sequencing, Epstein–Barr virus, Viral infection, Epstein-Barr Virus Infections/virology, Herpesvirus 4, Human/genetics, Medicine, Human genome
الوصف: Epstein–Barr virus (EBV) is one of the most common viruses latently infecting humans. Little is known about the impact of human genetic variation on the large inter-individual differences observed in response to EBV infection. To search for a potential imprint of host genomic variation on the EBV sequence, we jointly analyzed paired viral and human genomic data from 268 HIV-coinfected individuals with CD4 + T cell count 3 and elevated EBV viremia. We hypothesized that the reactivated virus circulating in these patients could carry sequence variants acquired during primary EBV infection, thereby providing a snapshot of early adaptation to the pressure exerted on EBV by the individual immune response. We searched for associations between host and pathogen genetic variants, taking into account human and EBV population structure. Our analyses revealed significant associations between human and EBV sequence variation. Three polymorphic regions in the human genome were found to be associated with EBV variation: one at the amino acid level (BRLF1:p.Lys316Glu); and two at the gene level (burden testing of rare variants in BALF5 and BBRF1). Our findings confirm that jointly analyzing host and pathogen genomes can identify sites of genomic interactions, which could help dissect pathogenic mechanisms and suggest new therapeutic avenues.
وصف الملف: application/pdf
تدمد: 2045-2322
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29636375b12226f1f6523d47a24a141c
https://pubmed.ncbi.nlm.nih.gov/33879823
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....29636375b12226f1f6523d47a24a141c
قاعدة البيانات: OpenAIRE