Suppr超能文献

阿尔茨海默病中的遗传异质性:隶属度分析

Genetic heterogeneity in Alzheimer's disease: a grade of membership analysis.

作者信息

Corder E H, Woodbury M A

机构信息

Department of Medicine, Duke University Medical Center, Durham, NC 27710.

出版信息

Genet Epidemiol. 1993;10(6):495-9. doi: 10.1002/gepi.1370100628.

Abstract

Grade of membership analysis (GoM) may have particular relevance for genetic epidemiology. The method can flexibly relate genetic markers, clinical features, and environmental exposures to possible subtypes of disease termed pure types even when population allele frequencies and penetrance functions are not known. Hence, GoM may complement existing strategies that sometimes fail in the presence of heterogeneity or when case definition is not well established. To illustrate the method, individuals in the Seattle data set were evaluated with respect to affection status, age at onset, pedigree, sex, and genetic markers on chromosomes 19 and 21. Seven pure types were found which we have designated as: Early Onset, Late Onset, Probable, and Unaffected 1 to Unaffected 4.

摘要

隶属度分析(GoM)可能对遗传流行病学具有特殊意义。即使在群体等位基因频率和外显率函数未知的情况下,该方法也能灵活地将遗传标记、临床特征和环境暴露与称为纯类型的疾病可能亚型联系起来。因此,GoM可以补充现有策略,这些策略有时在存在异质性或病例定义不明确时会失效。为了说明该方法,对西雅图数据集中的个体在患病状态、发病年龄、家系、性别以及19号和21号染色体上的遗传标记方面进行了评估。发现了七种纯类型,我们将其指定为:早发型、晚发型、可能型以及未患病1至未患病4型。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验