Symptom onset in autosomal dominant Alzheimer disease: A systematic review and meta-analysis

Davis C. Ryman, Natalia Acosta-Baena, Paul S. Aisen, Thomas Bird, Adrian Danek, Nick C. Fox, Alison Goate, Peter Frommelt, Bernardino Ghetti, Jessica B.S. Langbaum, Francisco Lopera, Ralph Martins, Colin L. Masters, Richard P. Mayeux, Eric McDade, Sonia Moreno, Eric M. Reiman, John M. Ringman, Steve Salloway, Peter R. SchofieldReisa Sperling, Pierre N. Tariot, Chengjie Xiong, John C. Morris, Randall J. Bateman

Research output: Contribution to journalArticlepeer-review

352 Scopus citations


Objective: To identify factors influencing age at symptom onset and disease course in autosomal dominant Alzheimer disease (ADAD), and develop evidence-based criteria for predicting symptom onset in ADAD. Methods: We have collected individual-level data on ages at symptom onset and death from 387 ADAD pedigrees, compiled from 137 peer-reviewed publications, the Dominantly Inherited Alzheimer Network (DIAN) database, and 2 large kindreds of Colombian (PSEN1 E280A) and Volga German (PSEN2 N141I) ancestry. Our combined dataset includes 3,275 individuals, of whom 1,307 were affected by ADAD with known age at symptom onset. We assessed the relative contributions of several factors in influencing age at onset, including parental age at onset, age at onset by mutation type and family, and APOE genotype and sex. We additionally performed survival analysis using data on symptom onset collected from 183 ADAD mutation carriers followed longitudinally in the DIAN Study. Results: We report summary statistics on age at onset and disease course for 174 ADAD mutations, and discover strong and highly significant (p < 10-16, r2 > 0.38) correlations between individual age at symptom onset and predicted values based on parental age at onset and mean ages at onset by mutation type and family, which persist after controlling for APOE genotype and sex. Conclusions: Significant proportions of the observed variance in age at symptom onset in ADAD can be explained by family history and mutation type, providing empirical support for use of these data to estimate onset in clinical research.

Original languageEnglish
Pages (from-to)253-260
Number of pages8
Issue number3
StatePublished - Jul 15 2014


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