相关实验视频

Updated: Feb 22, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

简短报告:针对印度密码性中风患者全外体测序数据的有针对性的分析

Priya Dev¹, Jenefer M Blackwell², Rajiv Kumar³

¹Department of Neurology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.

|February 20, 2026

概括

罕见的遗传变异可能导致印度患者的密码性中风 (CS). 这项研究确定了15个特定于CS病例的中风相关基因中的17种破坏性变异,这表明存在潜在的遗传联系.

科学领域:

遗传学是一个遗传学.
神经学神经学
心血管医学心血管医学

背景情况:

密码性中风 (CS) 是一种来源不明的缺血性中风,在印度的发病率正在上升.
遗传因素,包括罕见的变异,与中风风险有关.
在印度人群中CS的遗传基础上存在有限的研究.

研究的目的:

调查罕见编码变异在印度CS患者中风相关基因中的作用.
为了比较CS患者及其健康亲属之间的遗传发现.
在以前研究不足的人口群体中确定潜在的CS遗传贡献者.

主要方法:

针对16名CS患者和16名健康亲属的目标整体外基因组测序.
覆盖范围 (≥20x) 和低小等位基因频率 (≤0.01) 的过变异.
生物信息分析用于识别220个与中风相关的基因中的有害变异,途径分析 (Enrichr) 和蛋白质-蛋白质相互作用分析 (STRING).

主要成果:

在15个基因中确定了17种潜在的有害变异,这些变异特定于印度CS患者.
这些变异与出血和异常血凝等表型有关.
途径分析显示参与了血小板脱粒和纤维素凝块的形成.
STRING分析突出了6个相互作用的基因 (ITGA2B,F13A1,F5,ATP7A,GLA,ABCC6) 进行进一步研究.

结论:

与中风相关的基因中的罕见编码变异可能在印度人口的密码性中风中发挥作用.
鉴定的变异和途径为未来的研究和临床研究提供了潜在的目标.
需要进一步的验证研究,包括功能性测定,以确认这些遗传发现的临床相关性.

更多相关视频

A Novel Strategy Combining Array-CGH, Whole-exome Sequencing and In Utero Electroporation in Rodents to Identify Causative Genes for Brain Malformations

A Novel Strategy Combining Array-CGH, Whole-exome Sequencing and In Utero Electroporation in Rodents to Identify Causative Genes for Brain Malformations

Published on: December 1, 2017

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

相关概念视频

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

Pharmacogenomics: Identification of New Drug Targets

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...