Identification of new presenilin gene mutations in early-onset familial Alzheimer disease
ABSTRACT Mutations in the presenilin 1 (PS1) and presenilin 2 (PS2) genes, and more rarely in beta-amyloid precursor protein (betaAPP), underlie the pathogenesis of most cases of familial Alzheimer disease (FAD).
To screen the entire coding region of the PS1 and PS2 genes and exons 16 and 17 of the betaAPP to find pathogenetic mutations in FAD. Patients Patients with FAD were consecutively enrolled from among the outpatients from the neurology departments at the Universities of Florence and Parma and the Santa Maria Nuova Hospital in Reggio Emilia, Italy.
Polymerase chain reaction-single-strand conformation polymorphism and DNA se-quencing were used to investigate the affected members of families with FAD.
We identified a family carrying a novel Ser130Leu mutation in the PS2 gene. Moreover, we found 2 novel PS1 mutations: Cys92Ser in exon 4 in 2 unrelated families and Leu174Met in exon 6 in the PS1 gene. We also found a fourth Italian family with the betaAPP Val717Ile mutation.
One novel PS2 mutation associated with highly penetrant but variable age at onset (35-85 years) and 2 novel PS1 missense mutations associated with early-onset Alzheimer disease at age 49 to 54 years have been identified in Italian families. Screening for new mutations in presenilin and betaAPP genes was beneficial in characterizing gene function in FAD.
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ABSTRACT: Identification of a specific genetic cause of early onset dementia (EOD) is important but can be difficult because of pleiotropy, locus heterogeneity and accessibility of gene tests. Here we assess the use of next generation sequencing (NGS) technologies as a quick, accurate and cost effective method to determine genetic diagnosis in EOD. We developed gene panel based technologies to assess 16 genes known to harbour mutations causal of dementia and combined these with PCR based assessments of the C9orf72 hexanucleotide repeat expansion and the octapeptide repeat region of PRNP. In a blinded study of 95 samples we show very high sensitivity and specificity are achievable using either Ion Torrent or MiSeq sequencing platforms. Modifications to the gene panel permit accurate detection of structural variation in APP. In 2/10 samples which had been selected because they possess a variant of uncertain significance the new technology discovered a causal mutation in genes not previously sequenced. A large proportion (23/85) of samples showed genetic variants of uncertain significance in addition to known mutations. The MRC Dementia Gene Panel and similar technologies are likely to be transformational in EOD diagnosis with a significant impact on the proportion of patients in whom a genetic cause is identified.Neurobiology of aging 08/2013; 35(1). DOI:10.1016/j.neurobiolaging.2013.07.017 · 4.85 Impact Factor
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ABSTRACT: Early Onset Alzheimer Disease (EOAD) is a rare condition, frequently associated with genetic causes. The dissemination of genetic testing along with biomarker determinations have prompted a wider recognition of EOAD in experienced clinical settings. However, despite the great efforts in establishing the contribution of causative genes to EOAD, atypical disease presentation and clinical features still makes its diagnosis and treatment a challenge for the clinicians. This review aims to provide an extensive evaluation of literature data on EOAD, in order to improve understanding and knowledge of EOAD, underscore its significant impact on patients and their caregivers and influence public policies. This would be crucial to define the urgency of evidence-based treatment approaches.Current Alzheimer Research 11/2014; 11(10). DOI:10.2174/1567205011666141107151606 · 3.80 Impact Factor
Article: The genetics of Alzheimer’s disease[Show abstract] [Hide abstract]
ABSTRACT: Alzheimer's disease (AD) is a complex and heterogeneous neurodegenerative disorder, classified as either early onset (under 65 years of age), or late onset (over 65 years of age). Three main genes are involved in early onset AD: amyloid precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2). The apolipoprotein E (APOE) E4 allele has been found to be a main risk factor for late-onset Alzheimer's disease. Additionally, genome-wide association studies (GWASs) have identified several genes that might be potential risk factors for AD, including clusterin (CLU), complement receptor 1 (CR1), phosphatidylinositol binding clathrin assembly protein (PICALM), and sortilin-related receptor (SORL1). Recent studies have discovered additional novel genes that might be involved in late-onset AD, such as triggering receptor expressed on myeloid cells 2 (TREM2) and cluster of differentiation 33 (CD33). Identification of new AD-related genes is important for better understanding of the pathomechanisms leading to neurodegeneration. Since the differential diagnoses of neurodegenerative disorders are difficult, especially in the early stages, genetic testing is essential for diagnostic processes. Next-generation sequencing studies have been successfully used for detecting mutations, monitoring the epigenetic changes, and analyzing transcriptomes. These studies may be a promising approach toward understanding the complete genetic mechanisms of diverse genetic disorders such as AD.Clinical Interventions in Aging 04/2014; 9:535-551. DOI:10.2147/CIA.S51571 · 1.82 Impact Factor