Shared whole environmental etiology between Alzheimer’s disease and age-related macular degeneration

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.

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Publication Details

Journal
npj Aging
Published
2024-08-05
DOI
https://doi.org/10.1038/s41514-024-00162-4
Citations
2
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.63

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article

Shared whole environmental etiology between Alzheimer’s disease and age-related macular degeneration

Shunming Liu, Mingguang He, Danli Shi, Lianting Hu et al.
2 citations
npj Aging
Health, Environment, Cognitive Aging
0.63
article

Shared whole environmental etiology between Alzheimer’s disease and age-related macular degeneration

Shunming Liu, Mingguang He, Danli Shi, Lianting Hu, Ting Su, Honghua Yu, Siting Ye, Xianwen Shang, Shuo Ma, Lei Zhang, Chi Zhang, Xueli Zhang, Yu Huang, Min Li, Dantong Li, Jing Luo
article en
2 citations

Abstract

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.

npj AgingVol. 10(1)
Guangzhou University of Chinese Medicine (CN), Hong Kong Polytechnic University (HK), Sichuan University (CN), Key Laboratory of Guangdong Province (CN), Johnson & Johnson (United Kingdom) (GB), Guangdong Academy of Medical Sciences (CN), Guangdong Provincial People's Hospital (CN), Monash University (AU), Southern Medical University (CN), Xi'an Jiaotong University (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, Guangdong Provincial People's Hospital
Zero hunger
Openalex Percentile: Top 31%
Health, Environment, Cognitive Aging
0.63
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