重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

Exome Sequencing of Fetuses With Intracranial Hemorrhage Unravels Novel Causative Genes and an Extreme Genetic Heterogeneity

外显子组测序 遗传异质性 胎儿 外显子组 医学 遗传学 基因 生物 突变 怀孕 表型
作者
Thibault Coste,Chaker Aloui,Justine Chanclud,Éléonore Blondiaux,Jelena Martinović,Tania Attié‐Bitach,Florence Petit,Delphine Héron,Alexandre G. de Brevern,Ragousandirane Radjasandirane,Michaelle Corpechot,Hélène Morel,Rachel Petermann,Anne‐Louise Leutenegger,Elisabeth Tournier‐Lasserve
出处
期刊:Prenatal Diagnosis [Wiley]
标识
DOI:10.1002/pd.6743
摘要

ABSTRACT Objective Fetal intracranial hemorrhage (FICH) is a rare and potentially deleterious condition. Fetal alloimmune thrombocytopenia and pathogenic variations in COL4A1/A2 genes are well‐recognized causes of FICH. However, pathogenic COL4A1/A2 variations are identified in only 20% of fetuses referred for FICH after excluding other known causes, leaving the majority unexplained and making genetic counseling difficult. Our main aim was to identify novel genes associated with FICH. Method Exome sequencing was performed on 113 unrelated fetuses (35 trios, 3 families and 75 probands) after negative COL4A1/A2 testing and exclusion of known risk factors. Exome analysis incorporated several strategies including analyses of de novo and biallelic variants, and a collapsing gene‐based burden test approach. Results Nine individuals (8%) had a pathogenic or likely pathogenic variant identified. Additionally, 14 fetuses had a suspicious variant identified in a candidate gene. Causative genes involved platelet production, hemostasis ( MPL, MECOM, PROC ), endothelial cell adhesion ( ESAM ), and mitochondrial metabolism ( ATP5PO, COQ2, PDHA1 ). These findings suggest that FICH may result from a broader range of genetic abnormalities beyond previously known C OL4A1/A2 gene mutations. Conclusion FICH is characterized by extreme genetic heterogeneity with various pathways involved, underscoring the importance of exome‐wide analyses to fully understand its causes.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
刚刚
闫究生完成签到 ,获得积分10
刚刚
刚刚
yxm20241111发布了新的文献求助10
1秒前
芬兰的秋发布了新的文献求助30
1秒前
2秒前
英俊的铭应助Silvia采纳,获得10
2秒前
自然翠阳发布了新的文献求助10
2秒前
ww完成签到,获得积分10
2秒前
深情傲柔发布了新的文献求助10
3秒前
3秒前
壑舟发布了新的文献求助10
4秒前
QQ应助顺利白竹采纳,获得10
4秒前
Artorias应助TYQ采纳,获得20
4秒前
飞翔的鸣发布了新的文献求助10
4秒前
彩虹小马发布了新的文献求助10
5秒前
量子星尘发布了新的文献求助10
5秒前
明亮元容发布了新的文献求助10
5秒前
6秒前
6秒前
可爱的函函应助凉介采纳,获得10
6秒前
111发布了新的文献求助10
6秒前
称心的不言完成签到,获得积分10
6秒前
hearts_j发布了新的文献求助10
7秒前
睡着了完成签到,获得积分20
7秒前
认真读文献3302关注了科研通微信公众号
8秒前
科研通AI6应助Fred采纳,获得10
8秒前
哈哈哈完成签到 ,获得积分10
9秒前
9秒前
jia完成签到,获得积分10
9秒前
科研通AI6应助Blanca采纳,获得10
10秒前
10秒前
科研通AI6应助爱听歌半芹采纳,获得10
11秒前
平淡的一寡完成签到,获得积分10
11秒前
股价发布了新的文献求助10
12秒前
12秒前
12秒前
12秒前
小巴德完成签到,获得积分10
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
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5467521
求助须知:如何正确求助?哪些是违规求助? 4571250
关于积分的说明 14329350
捐赠科研通 4497873
什么是DOI,文献DOI怎么找? 2464105
邀请新用户注册赠送积分活动 1452935
关于科研通互助平台的介绍 1427673