多组织转录全基因组关联研究确定了235个乳腺癌内在亚型的基因
James L Li1, Julian C McClellan1, Haoyu Zhang2
1Department of Public Health Sciences, University of Chicago, Chicago, IL, USA.
Journal of the National Cancer Institute
|February 24, 2024
概括
这项研究使用了全转录组关联研究 (TWAS) 来识别影响乳腺癌 (BC) 亚型的基因. 它揭示了亚型特定的基因,并突出了常见变异在BC风险中的作用,包括CHEK2和MDM4.
科学领域:
- 遗传学 是一个遗传学.
- 基因组学就是基因组学.
- 癌症研究 癌症研究
背景情况:
- 全基因组关联研究 (GWAS) 确定了与乳腺癌 (BC) 亚型相关的常见变异,但涉及的特定基因仍然不清楚.
- 全转录组关联研究 (TWAS) 已经将基因与整体BC风险联系起来,但亚型特定的关联在很大程度上尚未被探索.
研究的目的:
- 使用多组织TWAS识别与特定乳腺癌内在亚型相关的基因.
- 调查常见变异在调节基因表达和拼接与不同亚型的BC风险相关的作用.
主要方法:
- 通过使用来自乳腺癌协会联盟的数据,对五种内在的BC亚型进行了两次多组织TWAS (基于表达和基于拼接).
- 在多个组织和内核集群中分析表达量的特征位点 (eQTLs) 和拼接量的特征位点 (sQTLs).
主要成果:
- 在88个位点中确定了235个与至少一个BC亚型相关的基因,其中许多显示了以前未报告的亚型特定关联.
- 发现CHEK2中常见的变体与光线A类BC风险相关,并发现MDM4拼接变体在人口水平上的支持增加了三重阴性BC风险.
结论:
- 综合多组织TWAS证实了之前GWAS对BC风险和亚型的发现.
- 证明了影响多个组织基因表达和拼接的常见变异的实用性,以了解BC病因学.
更多相关视频
06:24Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
Published on: March 12, 2021
3.6K
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
9.0K
相关概念视频
lncRNA - Long Non-coding RNAs
8.6K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.6K
Genome-wide Association Studies-GWAS
13.4K
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...
GWAS does not require the identification of the target gene involved in...
13.4K
