Literature DB >> 25937274

On the identification of low allele frequency mosaic mutations in the brains of Alzheimer's disease patients.

Carlo Sala Frigerio1, Pierre Lau1, Claire Troakes2, Vincent Deramecourt3, Patrick Gele3, Peter Van Loo4, Thierry Voet5, Bart De Strooper6.   

Abstract

INTRODUCTION: The cause of sporadic Alzheimer's disease (AD) remains unclear. Given the growing evidence that protein aggregates can spread in a "prion-like" fashion, we reasoned that a small population of brain cells producing such "prion-like" particles due to a postzygotic acquired mutation would be sufficient to trigger the disease. Deep DNA sequencing technology should in principle allow the detection of such mosaics.
METHODS: To detect the somatic mutations of genes causing AD present in a small number of cells, we developed a targeted deep sequencing approach to scrutinize the genomic loci of APP, PSEN1, and PSEN2 genes in DNA extracted from the entorhinal cortex, one of the brain regions showing the earliest signs of AD pathology. We also included the analysis of the MAPT gene because mutations may promote tangle formation. We validated candidate mutations with an independent targeted ultradeep amplicon sequencing technique.
RESULTS: We demonstrate that our approach can detect single-nucleotide mosaic variants with a 1% allele frequency and copy number mosaic variants present in as few as 10% of cells. We screened 72 AD and 58 control brain samples and identified three mosaic variants with low allelic frequency (∼1%): two novel MAPT variants in sporadic AD patients and a known PSEN2 variant in a Braak II control subject. Moreover, we detected both novel and known pathogenic nonmosaic heterozygous variants in PSEN1 and PSEN2 in this cohort of sporadic AD patients. DISCUSSION: Our results show that mosaic mutations with low allelic frequencies in AD-relevant genes can be detected in brain-derived DNA, but larger samples need to be investigated before a more definitive conclusion with regard to the pathogenicity of such mosaics can be made.
Copyright © 2015 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Genetics; Mosaicism; Prion-like spread; Somatic mutation

Mesh:

Substances:

Year:  2015        PMID: 25937274     DOI: 10.1016/j.jalz.2015.02.007

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  32 in total

1.  Genome aging: somatic mutation in the brain links age-related decline with disease and nominates pathogenic mechanisms.

Authors:  Michael A Lodato; Christopher A Walsh
Journal:  Hum Mol Genet       Date:  2019-10-15       Impact factor: 6.150

Review 2.  Central and Peripheral Metabolic Defects Contribute to the Pathogenesis of Alzheimer's Disease: Targeting Mitochondria for Diagnosis and Prevention.

Authors:  Yunhua Peng; Peipei Gao; Le Shi; Lei Chen; Jiankang Liu; Jiangang Long
Journal:  Antioxid Redox Signal       Date:  2020-03-16       Impact factor: 8.401

Review 3.  Somatic mosaicism in the diseased brain.

Authors:  Ivan Y Iourov; Svetlana G Vorsanova; Oxana S Kurinnaia; Sergei I Kutsev; Yuri B Yurov
Journal:  Mol Cytogenet       Date:  2022-10-21       Impact factor: 1.904

Review 4.  Genomics of Alzheimer's disease implicates the innate and adaptive immune systems.

Authors:  Yihan Li; Simon M Laws; Luke A Miles; James S Wiley; Xin Huang; Colin L Masters; Ben J Gu
Journal:  Cell Mol Life Sci       Date:  2021-10-27       Impact factor: 9.207

5.  Somatic genomic changes in single Alzheimer's disease neurons.

Authors:  Michael B Miller; August Yue Huang; Junho Kim; Zinan Zhou; Samantha L Kirkham; Eduardo A Maury; Jennifer S Ziegenfuss; Hannah C Reed; Jennifer E Neil; Lariza Rento; Steven C Ryu; Chanthia C Ma; Lovelace J Luquette; Heather M Ames; Derek H Oakley; Matthew P Frosch; Bradley T Hyman; Michael A Lodato; Eunjung Alice Lee; Christopher A Walsh
Journal:  Nature       Date:  2022-04-20       Impact factor: 69.504

Review 6.  Prions and Protein Assemblies that Convey Biological Information in Health and Disease.

Authors:  David W Sanders; Sarah K Kaufman; Brandon B Holmes; Marc I Diamond
Journal:  Neuron       Date:  2016-02-03       Impact factor: 17.173

7.  Assessment of the gene mosaicism burden in blood and its implications for immune disorders.

Authors:  Manuel Solís-Moruno; Anna Mensa-Vilaró; Laura Batlle-Masó; Irene Lobón; Núria Bonet; Tomàs Marquès-Bonet; Juan I Aróstegui; Ferran Casals
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

8.  Distinct X-chromosome SNVs from some sporadic AD samples.

Authors:  A Gómez-Ramos; P Podlesniy; E Soriano; J Avila
Journal:  Sci Rep       Date:  2015-12-09       Impact factor: 4.379

Review 9.  Single neuron transcriptome analysis can reveal more than cell type classification: Does it matter if every neuron is unique?

Authors:  Lise J Harbom; William D Chronister; Michael J McConnell
Journal:  Bioessays       Date:  2016-01-08       Impact factor: 4.345

Review 10.  Somatic mutations in disorders with disrupted brain connectivity.

Authors:  Jeong Ho Lee
Journal:  Exp Mol Med       Date:  2016-06-10       Impact factor: 8.718

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