Genetic Heterogeneity in Alzheimer Disease and Implications for Treatment Strategies

被引:0
作者
John M. Ringman
Alison Goate
Colin L. Masters
Nigel J. Cairns
Adrian Danek
Neill Graff-Radford
Bernardino Ghetti
John C. Morris
机构
[1] David Geffen School of Medicine at University of California,Mary S. Easton Center for Alzheimer’s Disease Research
[2] Los Angeles,Department of Neurology
[3] Washington University School of Medicine,The Florey Institute
[4] University of Melbourne,Department of Pathology and Labortory Medicine
[5] Neurologische Klinik Ludwig-Maximilians-Universität Munich and German Center for Neurodegenerative Diseases,Mary S. Easton Center for Alzheimer’s Disease Research
[6] Mayo Clinic,undefined
[7] Indiana University School of Medicine,undefined
[8] UCLA Department of Neurology,undefined
来源
Current Neurology and Neuroscience Reports | 2014年 / 14卷
关键词
Alzheimer’s disease; Genetic; Heterogeneity; Presenilin; Amyloid precursor protein; Apolipoprotein E;
D O I
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摘要
Since the original publication describing the illness in 1907, the genetic understanding of Alzheimer’s disease (AD) has advanced such that it is now clear that it is a genetically heterogeneous condition, the subtypes of which may not uniformly respond to a given intervention. It is therefore critical to characterize the clinical and preclinical stages of AD subtypes, including the rare autosomal dominant forms caused by known mutations in the PSEN1, APP, and PSEN2 genes that are being studied in the Dominantly Inherited Alzheimer Network study and its associated secondary prevention trial. Similar efforts are occurring in an extended Colombian family with a PSEN1 mutation, in APOE ε4 homozygotes, and in Down syndrome. Despite commonalities in the mechanisms producing the AD phenotype, there are also differences that reflect specific genetic origins. Treatment modalities should be chosen and trials designed with these differences in mind. Ideally, the varying pathological cascades involved in the different subtypes of AD should be defined so that both areas of overlap and of distinct differences can be taken into account. At the very least, clinical trials should determine the influence of known genetic factors in post hoc analyses.
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