Genomic landscape of Epstein–Barr virus in familial nasopharyngeal carcinoma

鼻咽癌 生物 单倍型 家族史 人口 爱泼斯坦-巴尔病毒 基因组 遗传学 病毒 家庭聚集 病毒学 基因 基因型 内科学 医学 放射治疗 环境卫生
作者
Wenli Zhang,Jiangbo Zhang,Tong‐Min Wang,Yanxia Wu,Yong‐Qiao He,Wen‐Qiong Xue,Ying Liao,Chang‐Mi Deng,Danhua Li,Ziyi Wu,Dawei Yang,Xiao‐Hui Zheng,Xi‐Zhao Li,Ting Zhou,Pei‐Fen Zhang,Shaodan Zhang,Ye‐Zhu Hu,Wei‐Hua Jia
出处
期刊:Journal of General Virology [Microbiology Society]
卷期号:103 (3) 被引量:2
标识
DOI:10.1099/jgv.0.001728
摘要

To better understand the genomic characteristics of Epstein–Barr virus (EBV) in familial nasopharyngeal carcinoma (NPC), we sequenced the EBV genomes by whole-genome capture in 38 unrelated patients with NPC family history in first-degree relatives and 47 healthy controls, including 13 with family history and 34 without. Compared with type 1 reference genome, mutation hotspots were observed in the latent gene regions of EBV in familial NPC cases. Population structure analysis showed that one cluster has a higher frequency in familial cases than in controls (OR=5.33, 95 % CI 2.50–11.33, P =1.42×10 −5 ), and similar population structure composition was observed among familial and sporadic NPC cases in high-endemic areas. By genome-wide association analysis, four variants were found to be significantly associated with familial NPC. Consistent results were observed in the meta-analysis integrating two published case-control EBV sequencing studies in NPC high-endemic areas. High-risk haplotypes of EBV composed of 34 variants were associated with familial NPC risk (OR=13.85, 95 % CI 4.13–46.44, P =2.06×10 −5 ), and higher frequency was observed in healthy blood-relative controls with NPC family history (9/13, 69.23 %) than those without family history (16/34, 47.06%). This study suggested the potential contribution of EBV high-risk subtypes to familial aggregation of NPC.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
thchiang发布了新的文献求助10
刚刚
1秒前
1秒前
朴素的清发布了新的文献求助10
1秒前
1秒前
1秒前
yuefeng完成签到,获得积分10
2秒前
直率尔芙发布了新的文献求助10
2秒前
2秒前
2秒前
司徒文青发布了新的文献求助30
2秒前
2秒前
酷波er应助Yolo采纳,获得10
3秒前
胖豆发布了新的文献求助10
3秒前
4秒前
ffff完成签到,获得积分10
4秒前
小满发布了新的文献求助10
4秒前
苏照杭应助绵绵采纳,获得10
4秒前
ldzjiao完成签到 ,获得积分10
4秒前
高高的觅风完成签到,获得积分10
4秒前
看看发布了新的文献求助10
4秒前
5秒前
jbhb发布了新的文献求助10
5秒前
5秒前
勤劳函完成签到,获得积分10
5秒前
希望天下0贩的0应助hf采纳,获得10
5秒前
木野狐发布了新的文献求助10
5秒前
丰知然应助QXS采纳,获得50
5秒前
song完成签到,获得积分10
5秒前
elena发布了新的文献求助10
6秒前
6秒前
6秒前
通~发布了新的文献求助10
6秒前
6秒前
xm发布了新的文献求助10
7秒前
7秒前
打打应助lkc采纳,获得10
7秒前
小鑫鑫1027完成签到,获得积分10
7秒前
斜杠武发布了新的文献求助10
8秒前
慕青应助星星采纳,获得10
8秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762