基于财团数据的肺癌的跨奥米克基因吸烟相互作用研究
Ning Xie1, Xiaowen Xu1, Yanru Wang1
1Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
American journal of respiratory and critical care medicine
|February 25, 2026
概括
这项研究确定了八种与吸烟相互作用,影响肺癌风险的生物标志物. 一个分子修饰分数 (MMS) 通过他们的肺癌风险有效地分层吸烟者.
科学领域:
- 遗传学 是一个遗传学.
- 分子生物学分子生物学
- 癌症研究 癌症研究
背景情况:
- 基因预测的分子特征为生物标志物识别和理解生物机制提供了一种具有成本效益的方法.
- 这项研究扩展了这一框架,以调查肺癌易感性中的基因吸烟相互作用.
研究的目的:
- 为了识别影响肺癌风险的跨奥米克基因吸烟相互作用.
- 评估已识别的生物标志物如何改变吸烟对肺癌的影响.
主要方法:
- 进行了一项跨欧米基因吸烟相互作用研究,整合了来自多个联盟 (ILCCO-OncoArray,TRICL,PLCO,UKB) 的大规模基因型数据.
- 跨DNA甲基化,基因表达,蛋白质和代谢物水平的综合总结级分子定量特征位置 (xQTL) 数据.
- 使用已识别的生物标志物开发了分子修饰得分 (MMS),以界定基因吸烟相互作用模式,并对吸烟者的肺癌风险进行分层.
主要成果:
- 确定了8种生物标志物,包括CpG位点和RP11-326C3.14基因,证明了与吸烟的显著相互作用.
- 开发的MMS有效地根据综合生物标志物数据对吸烟者肺癌风险进行了分层分类.
- 转基因分析表明,NELFE基因与吸烟相关的致癌途径有关,揭示了分子层之间的功能联系.
结论:
- 使用的xWAS (交叉祖先基因组广泛关联研究) 框架有助于系统地发现转基因基因环境相互作用.
- 在界定相互作用模式和对吸烟者的风险分层方面,MMS被证明是有效的.
- 一个免费的在线平台,肺癌-xWAS-GxE,已经启动,以提供访问这些发现.
更多相关视频
09:07Author Spotlight: Development and Characterization of an In Vitro Model to Study Chronic Cigarette Smoke Exposure and Its Impact on Airway Epithelial Cells in COPD Research
Published on: July 12, 2024
1.9K
09:50Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
Published on: February 12, 2015
11.7K
相关概念视频
01:25Statistical Methods for Analyzing Epidemiological Data
1.1K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.1K
02:02Genomics
41.1K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
41.1K
02:43Mouse Models of Cancer Study
6.6K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
6.6K
01:11Genome-wide Association Studies-GWAS
15.9K
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...
15.9K