基因预测的CKD与尿道癌和肺癌的关联:孟德尔随机分析
Li Luo1, Ron T Gansevoort1, Lyanne M Kieneker1
1Department of Nephrology, University Medical Center Groningen, University of Groningen, The Netherlands.
Kidney medicine
|September 2, 2025
概括
这项研究没有发现慢性病 (CKD) 导致癌症的遗传证据. 孟德尔随机分析显示,对CKD的遗传倾向与整体,尿道或肺癌的风险之间没有显著的关联.
科学领域:
- 肝脏病学
- 癌症学
- 遗传流行病学
背景情况:
- 慢性病在流行病学上与癌症风险增加有关,特别是尿路和肺癌.
- 这种关联的因果关系仍未解决, 需要进行严格的调查.
- 通过利用遗传变异作为工具变量来推断因果关系,遗传流行病学提供了一个强有力的方法.
研究的目的:
- 调查慢性病 (CKD) 与整体,尿路和肺癌的风险之间的潜在因果关系.
- 使用孟德尔随机化 (MR) 分析来评估因果关系,克服观察性研究的局限性.
- 在CKD与癌症的关系中区分关联和因果关系.
主要方法:
- 使用单核酸多态 (SNP) 数据进行孟德尔随机化 (MR) 分析.
- 对CKD (CKDGen,英国生物库) 和癌症 (各种联盟) 的全基因组关联研究 (GWAS) 数据进行了元分析.
- 使用反向方差加权 (IVW) 方法进行聚合MR估计,敏感性分析包括多变量,反向和多变量MR.
主要成果:
- 较高的对功能损害的遗传责任与整体癌症风险的增加没有显著关联 (OR,1. 00;95% CI,1. 00-1. 01;P=0. 06).
- 在本费罗尼校正的显著性水平下,不同慢性病表型 (例如,白膜尿,eGFRcr,eGFRcys) 与整体癌症风险之间没有发现显著的关联.
- 同样,对于CKD表型与尿道和肺癌的特定风险之间的关联,通过敏感性分析证实了零风险估计.
结论:
- 遗传预测慢性病 (CKD) 似乎不会因果增加发生性整体,尿路或肺癌的风险.
- 这些发现没有提供基因证据来支持CKD与癌症发展之间的因果关系.
- 可能需要进一步的研究来探索潜在的混因素或特定的子群体,考虑到推断到不同种族的局限性.
相关概念视频
Cancer Prevention
6.3K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Some...
6.3K
Chronic Kidney Disease I: Introduction
65
Chronic Kidney Disease (CKD) arises when the kidneys progressively lose their ability to function, ultimately leading to end-stage renal disease. At this advanced stage, the kidneys can no longer filter waste or maintain essential body functions, requiring renal replacement therapy (RRT) through dialysis or a kidney transplant for survival.Early-stage chronic kidney disease and detection challengesIn CKD's early stages, symptoms often remain absent because healthy nephrons compensate for...
65
Genome-wide Association Studies-GWAS
14.1K
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...
14.1K
Statistical Methods for Analyzing Epidemiological Data
530
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:
530
Mutagenicity and Carcinogenicity
1.4K
Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...
1.4K


