Identifying genetic subtypes of disease from hospital diagnosis records

IF 31.7 1区生物学 Q1 GENETICS & HEREDITY

Nature genetics Pub Date : 2023-10-09 DOI:10.1038/s41588-023-01521-9

引用次数: 0

Abstract

We developed a computational, age-dependent topic model to identify longitudinal comorbidity patterns from hospital diagnosis data. The inferred comorbidity patterns are robust across UK and US populations and identify disease subtypes with distinct genetic profiles.

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从医院诊断记录中识别疾病的遗传亚型。

我们开发了一个依赖于年龄的计算主题模型，从医院诊断数据中识别纵向合并症模式。推断出的并发症模式在英国和美国人群中都很稳健，并能识别出具有不同遗传特征的疾病亚型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature genetics 生物-遗传学

CiteScore

43.00

自引率

2.60%

发文量

241

审稿时长

3 months

期刊介绍： Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution