Discovery and validation of autosomal dominant Alzheimer’s disease mutations

Springer Science and Business Media LLC - Tập 10 - Trang 1-8 - 2018
Simon Hsu1, Brian A. Gordon2, Russ Hornbeck2, Joanne B. Norton1, Denise Levitch3, Adia Louden1, Ellen Ziegemeier3, Robert Laforce4, Jasmeer Chhatwal5, Gregory S. Day3, Eric McDade3, John C. Morris3, Anne M. Fagan3, Tammie L. S. Benzinger2,6, Alison M. Goate7, Carlos Cruchaga1, Randall J. Bateman3, Celeste M. Karch1
1Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
2Department of Radiology, Washington University School of Medicine, St. Louis, USA
3Department of Neurology, Washington University School of Medicine, St. Louis, USA
4Clinique Interdisciplinaire de Mémoire du CHU de Québec, Département des Sciences Neurologiques, Faculté de Médecine, Université Laval, Québec City, Canada
5Massachusetts General Hospital Martinos Center for Biomedical Imaging, Charlestown, USA
6Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, USA
7Department of Neuroscience, Mount Sinai School of Medicine, New York, USA

Tóm tắt

Alzheimer’s disease (AD) is a neurodegenerative disease that is clinically characterized by progressive cognitive decline. Mutations in amyloid-β precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2) are the pathogenic cause of autosomal dominant AD (ADAD). However, polymorphisms also exist within these genes. In order to distinguish polymorphisms from pathogenic mutations, the DIAN Expanded Registry has implemented an algorithm for determining ADAD pathogenicity using available information from multiple domains, including genetic, bioinformatic, clinical, imaging, and biofluid measures and in vitro analyses. We propose that PSEN1 M84V, PSEN1 A396T, PSEN2 R284G, and APP T719N are likely pathogenic mutations, whereas PSEN1 c.379_382delXXXXinsG and PSEN2 L238F have uncertain pathogenicity. In defining a subset of these variants as pathogenic, individuals from these families can now be enrolled in observational and clinical trials. This study outlines a critical approach for translating genetic data into meaningful clinical outcomes.

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