Summary With the advent of genome-wide association studies (GWAS) and next-generation sequencing, more than 20 risk loci that affect Alzheimer's disease have been identified. These loci are estimated ...to explain about 28% of the heritability of liability, 30% of familial risk, and over 50% of sibling recurrence risk of developing Alzheimer's disease. These estimates are high in comparison with those for other complex diseases for which more risk loci have been discovered, such as type 2 diabetes, which is mostly a result of the strong effect of APOE ɛ4 and to a lesser extent the rare variant TREM2 p.Arg47His. The search for functionally relevant genetic variants in risk loci detected in GWAS has revealed that the genetic variations underlying Alzheimer's disease include common variants affecting expression and splicing, a functional intragenic copy number variation, and rare pathogenic variants in risk loci, some of which might lead to familial Alzheimer's disease. An understanding of the contribution of these variants to the development of Alzheimer's disease has several clinical implications, including enhancing diagnostic accuracy and providing targets for the development of novel treatments.
The search for the genetic factors contributing to Alzheimer disease (AD) has evolved tremendously throughout the years. It started from the discovery of fully penetrant mutations in Amyloid ...precursor protein, Presenilin 1, and Presenilin 2 as a cause of autosomal dominant AD, the identification of the ɛ4 allele of Apolipoprotein E as a strong genetic risk factor for both early-onset and late-onset AD, and evolved to the more recent detection of at least 21 additional genetic risk loci for the genetically complex form of AD emerging from genome-wide association studies and massive parallel resequencing efforts. These advances in AD genetics are positioned in light of the current endeavor directing toward translational research and personalized treatment of AD. We discuss the current state of the art of AD genetics and address the implications and relevance of AD genetics in clinical diagnosis and risk prediction, distinguishing between monogenic and multifactorial AD. Furthermore, the potential and current limitations of molecular reclassification of AD to streamline clinical trials in drug development and biomarker studies are addressed.
As the discovery of the Alzheimer's disease (AD) genes, APP, PSEN1, and PSEN2, in families with autosomal dominant early-onset AD (EOAD), gene discovery in familial EOAD came more or less to a ...standstill. Only 5% of EOAD patients are carrying a pathogenic mutation in one of the AD genes or a apolipoprotein E (APOE) risk allele ε4, most of EOAD patients remain unexplained. Here, we aimed at summarizing the current knowledge of EOAD genetics and its role in ongoing approaches to understand the biology of AD and disease symptomatology as well as developing new therapeutics. Next, we explored the possible molecular mechanisms that might underlie the missing genetic etiology of EOAD and discussed how the use of massive parallel sequencing technologies triggered novel gene discoveries. To conclude, we commented on the relevance of reinvestigating EOAD patients as a means to explore potential new avenues for translational research and therapeutic discoveries.
Genetic insights in Alzheimer's disease Bettens, Karolien, PhD; Sleegers, Kristel, PhD; Van Broeckhoven, Christine, Prof
Lancet neurology,
2013, January 2013, 2013-Jan, 2013-01-00, 20130101, Letnik:
12, Številka:
1
Journal Article
Recenzirano
Summary In the search for new genes in Alzheimer's disease, classic linkage-based and candidate-gene-based association studies have been supplanted by exome sequencing, genome-wide sequencing (for ...mendelian forms of Alzheimer's disease), and genome-wide association studies (for non-mendelian forms). The identification of new susceptibility genes has opened new avenues for exploration of the underlying disease mechanisms. In addition to detecting novel risk factors in large samples, next-generation sequencing approaches can deliver novel insights with even small numbers of patients. The shift in focus towards translational studies and sequencing of individual patients places each patient's biomaterials as the central unit of genetic studies. The notional shift needed to make the patient central to genetic studies will necessitate strong collaboration and input from clinical neurologists.
We sequenced the genome of the Yoruban reference individual NA19240 on the long-read sequencing platform Oxford Nanopore PromethION for evaluation and benchmarking of recently published aligners and ...germline structural variant calling tools, as well as a comparison with the performance of structural variant calling from short-read sequencing data. The structural variant caller Sniffles after NGMLR or minimap2 alignment provides the most accurate results, but additional confidence or sensitivity can be obtained by a combination of multiple variant callers. Sensitive and fast results can be obtained by minimap2 for alignment and a combination of Sniffles and SVIM for variant identification. We describe a scalable workflow for identification, annotation, and characterization of tens of thousands of structural variants from long-read genome sequencing of an individual or population. By discussing the results of this well-characterized reference individual, we provide an approximation of what can be expected in future long-read sequencing studies aiming for structural variant identification.
Summary Background ABCA7 was identified as a risk gene for Alzheimer's disease in genome-wide association studies (GWAS). It was one of the genes most strongly associated with risk of Alzheimer's ...disease in a Belgian cohort. Using targeted resequencing, we investigated ABCA7 in this cohort with the aim to directly detect rare and common variations in this gene associated with Alzheimer's disease pathogenesis. Methods We did massive parallel resequencing of ABCA7 after HaloPlex target enrichment of the exons, introns, and regulatory regions in 772 unrelated patients with Alzheimer's disease (mean age at onset 74·6 years SD 8·9) recruited at two memory clinics in Flanders, Belgium, and 757 geographically matched community-dwelling controls (mean age at inclusion 73·9 years 8·0). After bioinformatic processing, common variants were analysed with conditional logistic regression and rare variant association analysis was done in Variant Association Tools. To explore an observed founder effect, additional unrelated patients with Alzheimer's disease (n=183, mean age at onset 78·8 years SD 6·0) and control individuals (n=265, mean age at inclusion 56·9 years 10·8) from the same cohort who had not been included in massive parallel resequencing because of insufficient biosamples were screened for the ABCA7 frameshift mutation Glu709fs with Sanger sequencing. The effect of loss-of-function mutations on ABCA7 expression was investigated with quantitative real-time PCR in post-mortem brains of patients (n=3) and control individuals (n=4); nonsense mediated mRNA decay was investigated in lymphoblast cell lines from three predicted loss-of-function mutation carriers from the cohort of 772 patients with Alzheimer's disease. Findings An intronic low-frequency variant rs78117248 (minor allele frequency 3·8% in 58 patients with Alzheimer's disease and in controls 1·8% in 28 controls) showed strongest association with Alzheimer's disease (odds ratio 2·07, 95% CI 1·31–3·27; p=0·0016), and remained significant after conditioning for the GWAS top single nucleotide polymorphisms rs3764650, rs4147929, and rs3752246 (2·00, 1·22–3·26; p=0·006). We identified an increased frequency of predicted loss-of-function mutations in the patients compared with the controls (relative risk 4·03, 95% CI 1·75–9·29; p=0·0002). One frameshift mutation (Glu709fs) showed a founder effect in the study population, and was found to segregate with disease in a family with autosomal dominant inheritance of Alzheimer's disease. Expression of ABCA7 was reduced in the two carriers of loss-of-function mutations found only in patients with Alzheimer's disease (Glu709fs and Trp1214*) compared with four non-carrier controls (relative expression 0·45, 95% CI 0·25–0·84; p=0·002) and in lymphoblast cell lines from three carriers of Glu709fs compared with those from two non-carrier controls. Interpretation We propose that a low-frequency variant can explain the association between ABCA7 and Alzheimer's disease, and the evidence of loss-of-function mutations in this risk gene suggests that partial loss-of-function of ABCA7 could be a potential pathogenetic mechanism of Alzheimer's disease. Funding Belgian Science Policy Office Interuniversity Attraction Poles program P7/16, Alzheimer Research Foundation, King Baudouin Foundation AB Fund, Methusalem Excellence Program initiative of the Flemish Government, Flanders Impulse Program on Networks for Dementia Research, Research Foundation Flanders, Agency for Innovation by Science and Technology Flanders, University of Antwerp Research Fund, and European Union's Seventh Framework Programme for Research, Technological development and Demonstration (AgedBrainSYSBIO).
Genome-wide association studies (GWAS) have identified
PICALM
as one of the most significant susceptibility loci for late-onset Alzheimer’s disease (AD) after
APOE
and
BIN1
. PICALM is a ...clathrin-adaptor protein and plays critical roles in clathrin-mediated endocytosis and in autophagy. PICALM modulates brain amyloid ß (Aß) pathology and tau accumulation. We have previously reported that soluble PICALM protein level is reduced in correlation with abnormalities of autophagy markers in the affected brain areas of neurodegenerative diseases including AD, sporadic tauopathies and familial cases of frontotemporal lobar degeneration with tau-immunoreactive inclusions (FTLD-tau) with mutations in the microtubule-associated protein tau (
MAPT
) gene. It remains unclarified whether in vivo PICALM reduction could either trigger or influence tau pathology progression in the brain. In this study, we confirmed a significant reduction of soluble PICALM protein and autophagy deficits in the post-mortem human brains of FTLD-tau-
MAPT
(P301L, S364S and L266V). We generated a novel transgenic mouse line named Tg30xPicalm+/− by crossing Tg30 tau transgenic mice with Picalm-haploinsufficient mice to test whether Picalm reduction may modulate tau pathology. While Picalm haploinsufficiency did not lead to any motor phenotype or detectable tau pathology in mouse brains, Tg30xPicalm+/− mice developed markedly more severe motor deficits than Tg30 by the age of 9 months. Tg30xPicalm+/− had significantly higher pathological tau levels in the brain, an increased density of neurofibrillary tangles compared to Tg30 mice and increased abnormalities of autophagy markers. Our results demonstrate that Picalm haploinsufficiency in transgenic Tg30 mice significantly aggravated tau pathologies and tau-mediated neurodegeneration, supporting a role for changes in Picalm expression as a risk/sensitizing factor for development of tau pathology and as a mechanism underlying the AD risk associated to PICALM.
Over 25 genes are known to affect the risk of developing Alzheimer disease (AD), the most common neurodegenerative dementia. However, mechanistic insights and improved disease management remains ...limited, due to difficulties in determining the functional consequences of genetic associations. Transcriptomics is increasingly being used to corroborate or enhance interpretation of genetic discoveries. These approaches, which include second and third generation sequencing, single-cell sequencing, and bioinformatics, reveal allele-specific events connecting AD risk genes to expression profiles, and provide converging evidence of pathophysiological pathways underlying AD. Simultaneously, they highlight brain region- and cell-type-specific expression patterns, and alternative splicing events that affect the straightforward relation between a genetic variant and AD, re-emphasizing the need for an integrated approach of genetics and transcriptomics in understanding AD.
Due to risk gene pleiotropy, difficulty in finding functional variants, and poor reflection of physiological complexity in genetic analysis, translation of new genetic findings for Alzheimer disease (AD) into functional mechanisms has been difficult.
Transcriptomic analysis has provided additional support for previously identified risk genes while also identifying novel associated genes, helping to elucidate mechanisms of disease.
Refinement of transcriptomics through 2nd and 3rd generation sequencing, single-cell sequencing and bioinformatics is revealing mechanisms involved in AD in previously unattainable detail, including brain region- and cell-type-specific expression changes and molecular processes such as transcript rescue events, challenging the direct interpretation of an association between genetic variant and phenotype.
Transcriptome analysis in postmortem brain has uncovered central biological pathways and central regulator ‘hub’ genes in disease, for example, SPI.1 and TYROBP in the brain immune response.
Technological limitations have hindered the large-scale genetic investigation of tandem repeats in disease. We show that long-read sequencing with a single Oxford Nanopore Technologies PromethION ...flow cell per individual achieves 30× human genome coverage and enables accurate assessment of tandem repeats including the 10,000-bp Alzheimer's disease-associated ABCA7 VNTR. The Guppy "flip-flop" base caller and tandem-genotypes tandem repeat caller are efficient for large-scale tandem repeat assessment, but base calling and alignment challenges persist. We present NanoSatellite, which analyzes tandem repeats directly on electric current data and improves calling of GC-rich tandem repeats, expanded alleles, and motif interruptions.
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