Cross-phenotype associations between Alzheimer's Disease and its comorbidities may provide clues to progression.

Anni Moore, Marylyn D Ritchie
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Abstract

Alzheimer's disease (AD) is the most prevalent neurodegenerative disease worldwide, with one in nine people over the age of 65 living with the disease in 2023. In this study, we used a phenome wide association study (PheWAS) approach to identify cross-phenotype between previously identified genetic associations for AD and electronic health record (EHR) diagnoses from the UK Biobank (UKBB) (n=361,194 of European ancestry) and the eMERGE Network (n=105,108 of diverse ancestry). Based on 497 previously identified AD-associated variants from the Alzheimer's Disease Variant Portal (ADVP), we found significant associations primarily in immune and cardiac related diseases in our PheWAS. Replicating variants have widespread impacts on immune genes in diverse tissue types. This study demonstrates the potential of using the PheWAS strategy to improve our understanding of AD progression as well as identify potential drug repurposing opportunities for new treatment and disease prevention strategies.

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阿尔茨海默病及其并发症之间的交叉表型关联可为病情发展提供线索。
阿尔茨海默病(AD)是全球发病率最高的神经退行性疾病,到 2023 年,每九个 65 岁以上的人中就有一人患病。在这项研究中,我们采用表型组广泛关联研究(PheWAS)方法,从英国生物库(UKBB)(n=361,194 名欧洲血统者)和 eMERGE 网络(n=105,108 名不同血统者)中找出先前确定的 AD 遗传关联与电子健康记录(EHR)诊断之间的交叉表型。基于先前从阿尔茨海默病变异门户网站(ADVP)发现的 497 个阿尔茨海默病相关变异,我们在 PheWAS 中发现了主要与免疫和心脏相关疾病有关的显著关联。复制变异对不同组织类型的免疫基因有着广泛的影响。这项研究证明了使用 PheWAS 策略的潜力,它可以提高我们对艾滋病进展的认识,并为新的治疗和疾病预防策略确定潜在的药物再利用机会。
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