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Genetic Analysis of Disorders with Apparent Heterogeneity
Genetic heterogeneity in Alzheimer's disease: A grade of membership analysis
Article first published online: 3 JUN 2005
DOI: 10.1002/gepi.1370100628
Copyright © 1993 Wiley-Liss, Inc., A Wiley Company
1098-2272/asset/cover.gif?v=1&s=07484ac07e8bc9f07288a868034f014a9e749a16 "Genetic Epidemiology")
Additional Information
How to Cite
Corder, E. H. and Woodbury, M. A. (1993), Genetic heterogeneity in Alzheimer's disease: A grade of membership analysis. Genet. Epidemiol., 10: 495–499. doi: 10.1002/gepi.1370100628
Publication History
- Issue published online: 3 JUN 2005
- Article first published online: 3 JUN 2005
Funded by
- National Multiple Sclerosis Society. Grant Number: RG 2476-A-4
- Abstract
- References
- Cited By
Keywords:
- fuzzy sets;
- latent class analysis;
- latent structure;
- Alzheimer's disease
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. © 1993 Wiley-Liss, Inc.