Ye Siting, Ma Shuo, Liu Shunming, Huang Yu, Li Dantong, Li Min, Su Ting, Luo Jing, Zhang Chi, Shi Danli, Hu Lianting, Zhang Lei, Yu Honghua, He Mingguang, Shang Xianwen, Zhang Xueli
Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Department of Orthopaedics, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
NPJ Aging. 2024 Aug 5;10(1):36. doi: 10.1038/s41514-024-00162-4.
The comorbidity of Alzheimer's disease (AD) and age-related macular degeneration (AMD) has been established in clinical and genetic studies. There is growing interest in determining the shared environmental factors associated with both conditions. Recent advancements in record linkage techniques enable us to identify the contributing factors to AD and AMD from a wide range of variables. As such, we first constructed a knowledge graph based on the literature, which included all statistically significant risk factors for AD and AMD. An environment-wide association study (EWAS) was conducted to assess the contribution of various environmental factors to the comorbidity of AD and AMD based on the UK biobank. Based on the conditional Q-Q plots and Bayesian algorithm, several shared environmental factors were identified, which could be categorized into the domains of health condition, biological sample parameters, body index, and attendance availability. Finally, we generated a shared etiology landscape for AD and AMD by combining existing knowledge with our novel findings.
阿尔茨海默病(AD)与年龄相关性黄斑变性(AMD)的共病关系已在临床和遗传学研究中得到证实。人们越来越关注确定与这两种疾病相关的共同环境因素。记录链接技术的最新进展使我们能够从广泛的变量中识别出导致AD和AMD的因素。因此,我们首先基于文献构建了一个知识图谱,其中包括AD和AMD的所有具有统计学意义的风险因素。基于英国生物银行进行了一项全环境关联研究(EWAS),以评估各种环境因素对AD和AMD共病的影响。基于条件Q-Q图和贝叶斯算法,确定了几个共同的环境因素,这些因素可分为健康状况、生物样本参数、身体指数和就诊便利性等领域。最后,我们通过将现有知识与我们的新发现相结合,生成了AD和AMD的共同病因图谱。