已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Paired Copy Number Variation Analysis in Siblings Discordant for Familial Parkinson’s Disease

拷贝数变化 变化(天文学) 帕金森病 遗传学 疾病 生物 医学 基因 内科学 基因组 物理 天体物理学
作者
Sevcan Atay,Ahmet Acarer,Hakan Kültürsay,Zafer Çolakoğlu,Hikmet Hakan Aydın
出处
期刊:Annals of Clinical Biochemistry [SAGE Publishing]
标识
DOI:10.1177/00045632251328130
摘要

Numerous studies on the genetic pathogenesis of familial Parkinson's Disease (PD) have explained the etiology of only a limited percentage of cases. In this study, we aimed to identify copy number variations (CNVs) in patients with familial PD compared to their healthy siblings. Genomic microarray analysis was performed using the CytoScan HD array platform, and paired copy number variation analysis was performed using Partek Genomics Suite. A total of 211 CNVs were detected in patients (genomic markers per CNV>10, markers per base pair >0.0005). Genes localized in CNV regions were enriched in the 'Metabolism of xenobiotics by cytochrome P450' pathway. Subsequently, CNVs located in regions with segmental duplication, large genomic gap or 'dosage sensitivity unlikely ', with a frequency higher than 0.01%, and found to be 'both amplified and deleted' in patients were excluded. Genes potentially affected by exonic copy number losses were HPGDS, TUBB8, ZMYND11, FLI-1, THADA, FAM47E, FAM47E-STBD1, AGMO, CYRIB, and MIR5194, while the detected copy number gains included the exons of the PCSK6, MIR4522, WSB1, C8orf44-SGK3, SGK3, and MCMDC2. No copy number variation was detected in chromosomes 13 and 18. Here, we report the results of the first paired CNV analysis in siblings discordant for Familial Parkinson's Disease. Validation and frequency determination of rare and novel CNVs identified in larger familial PD cohorts may reveal novel PH risk genes. The metabolism of xenobiotics by cytochrome P450 pathway deserves further functional and translational studies in familial Parkinson's disease.
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
3秒前
4秒前
gao完成签到,获得积分20
5秒前
书生完成签到,获得积分10
7秒前
CipherSage应助江枫渔采纳,获得10
7秒前
zhang完成签到,获得积分10
8秒前
科研通AI6.2应助kyhzxy采纳,获得10
10秒前
小孟皮儿发布了新的文献求助10
12秒前
情怀应助zz采纳,获得10
14秒前
LUX应助你好采纳,获得10
15秒前
笨笨的元风完成签到,获得积分10
15秒前
16秒前
科研通AI6.4应助YUAN采纳,获得10
16秒前
科研通AI6.2应助YUAN采纳,获得10
16秒前
大模型应助Trey采纳,获得10
16秒前
科研通AI6.4应助YUAN采纳,获得10
17秒前
科研通AI6.2应助YUAN采纳,获得10
17秒前
李健应助zjw采纳,获得10
17秒前
科研通AI6.4应助YUAN采纳,获得10
17秒前
科研通AI6.4应助YUAN采纳,获得10
17秒前
斯文败类应助YUAN采纳,获得10
17秒前
17秒前
科研通AI6.4应助YUAN采纳,获得10
18秒前
科研通AI6.4应助YUAN采纳,获得10
18秒前
西风月发布了新的文献求助10
19秒前
19秒前
19秒前
科目三应助xhsz1111采纳,获得10
19秒前
威武的金毛完成签到 ,获得积分10
21秒前
壮观的夏云完成签到,获得积分10
22秒前
小羊完成签到,获得积分10
22秒前
22秒前
捕猎者hhr发布了新的文献求助10
23秒前
杨德帅发布了新的文献求助10
23秒前
25秒前
阿枫完成签到,获得积分10
26秒前
欢乐谷完成签到,获得积分10
26秒前
江枫渔发布了新的文献求助10
30秒前
捕猎者hhr完成签到,获得积分10
30秒前
zsz完成签到,获得积分10
30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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777672
求助须知:如何正确求助?哪些是违规求助? 9318513
关于积分的说明 20364691
捐赠科研通 7364587
什么是DOI,文献DOI怎么找? 3318990
关于科研通互助平台的介绍 2466628
邀请新用户注册赠送积分活动 2334211