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Abigail Newbury^1,2, Xinzhuo Jiang¹, Karthik Natarajan¹

¹Department of Biomedical Informatics, Columbia University, New York City, NY, US.

AMIA ... Annual Symposium proceedings. AMIA Symposium

|February 23, 2026

概括

我们所有人 (AoU) 研究计划显示,大多数表型的流行率高于英国生物银行 (UKBB). 在特定疾病中观察到健康的社会决定因素和全基因组关联研究结果的差异.

科学领域:

生物医学信息学生物医学信息学
基因组学就是基因组学.
人口健康人口健康

背景情况:

我们所有人 (AoU) 研究计划和英国生物银行 (UKBB) 提供了广泛的电子健康记录 (EHR) 数据.
观察健康数据科学和信息学 (OHDSI) 现象型图书馆 (PL) 包含许多复杂的现象型算法.

研究的目的:

为了比较AoU和UKBB的423个OHDSI PL队列的患病率.
分析AoU和UKBB之间的2型糖尿病 (T2D),COPD和急性心肌梗塞 (AMI) 的人口统计,健康的社会决定因素 (SDOH),地理和全基因组关联研究 (GWAS) 差异.

主要方法:

基于规则的表型算法被应用到来自AoU和UKBB的EHR数据.
在两个生物库之间比较了423个OHDSI PL队列的患病率.
对T2D,COPD和AMI进行了人口统计,SDOH,地理流行率和GWAS结果的分析.

主要成果:

与UKBB相比,AoU在80%的评估表型中表现出明显更高的流行率.
对于所选疾病,AoU和UKBB之间在SDOH变量中发现了显著的差异.
在UKBB的GWAS分析中,发现T2D,COPD和AMI的相关基因比AOU更多.

结论:

该研究强调了AoU研究计划和英国生物银行之间的表型流行和特征的显著差异.
这些发现强调了在进行大规模观察性健康研究时考虑生物库特定数据特征的重要性.
在SDOH和遗传关联的差异保证进一步调查T2D,COPD和AMI等疾病.

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