Whole exome sequencing identifies genetic variants in Chinese Han pregnant women with venous thromboembolism

外显子组测序 医学 错义突变 外显子组 血栓性 生物信息学 基因检测 病例对照研究 遗传学 内科学 基因 突变 生物 血栓形成
作者
Yupei Shen,Yan Zhang,Ying Xiong,Zhiping Zhang,Baohua Zhang,Aihong Li,Zhaofeng Zhang,Jing Ding,Jing Du,Yan Che
出处
期刊:Thrombosis Research [Elsevier BV]
卷期号:211: 49-55 被引量:2
标识
DOI:10.1016/j.thromres.2022.01.015
摘要

Venous thromboembolism (VTE) is a common health problem, causing considerable morbidity and mortality. The incidence of VTE is higher in pregnant women than in those who are not pregnant. However, genetic factors for VTE in pregnant women are largely unknown.We performed a large-scale prospective cohort study of 65,138 pregnancies. 24 pregnant patients diagnosed with VTE and 24 matched pregnant women without VTE were enrolled and sequenced by whole exome sequencing. We investigated the occurrence of known VTE risk variants, damaging variants found in thrombophilia genes and rare damaging variants possibly related to VTE in pregnancies. An exome-wide association study was also performed using a case-control design.Our findings suggest that VTE in pregnancies may be mainly related to (i) the presence of known pathogenic variants in affected individual like F2, (ii) possibly damaging variants found in major thrombophilia gene GCKR, and (iii) 1 pathogenic and 13 likely pathogenic rare damaging variants associated with genetic errors. In exome-wide association stage, 42 variants at 34 genes may show suggestive associations with VTE in pregnancies (the lowest P = 3.5 × 10-7). ZFP41 (rs6558339, P = 8.85 × 10-5) in 24 patients were the only exonic missense variant.The combined findings suggest that some genes may be involved in the mechanism of basement membranes, sterol accumulation and atherosclerosis, lipid metabolism and coagulation deficiency. These identified risk variants may improve the understanding of VTE pathogenesis in pregnancies and provide potential biomarker for development of clinical diagnosis.
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
molihuakai应助0201采纳,获得10
1秒前
JTCatherine完成签到,获得积分10
1秒前
Jasper应助熊大采纳,获得10
2秒前
xx发布了新的文献求助10
2秒前
2秒前
3秒前
3秒前
lllqqq完成签到,获得积分20
4秒前
4秒前
5秒前
Lucas应助妞妞采纳,获得10
5秒前
陈秀娟发布了新的文献求助10
5秒前
6秒前
6秒前
梦想完成签到,获得积分10
7秒前
ChenYifei发布了新的文献求助10
7秒前
爱打麻将的小狗完成签到,获得积分20
7秒前
王者归来完成签到,获得积分10
7秒前
zdh完成签到,获得积分10
8秒前
dongsitong完成签到,获得积分10
8秒前
chiho发布了新的文献求助10
8秒前
星辰大海应助Ligin采纳,获得10
9秒前
ding应助XX采纳,获得10
9秒前
lllqqq发布了新的文献求助10
9秒前
9秒前
fcyyc发布了新的文献求助10
9秒前
欧皇降霖完成签到 ,获得积分10
10秒前
10秒前
旅行的小七仔完成签到,获得积分10
10秒前
10秒前
十七号日落完成签到 ,获得积分10
10秒前
扎心发布了新的文献求助10
11秒前
凉月发布了新的文献求助10
11秒前
12秒前
12秒前
爆米花应助ARRTt采纳,获得10
12秒前
hujun完成签到,获得积分20
12秒前
Yong发布了新的文献求助10
13秒前
13秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Les chinois de jakarta: temples et vie collective 500
The fast track to determining transfer functions of linear circuits: The student guide 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7628588
求助须知:如何正确求助?哪些是违规求助? 9203292
关于积分的说明 19734204
捐赠科研通 7198289
什么是DOI,文献DOI怎么找? 3274087
关于科研通互助平台的介绍 2436363
邀请新用户注册赠送积分活动 2270228