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Resistance to autosomal dominant Alzheimer's disease in an APOE3 Christchurch homozygote: a case report.

Joseph F Arboleda-Velasquez | Francisco Lopera | Michael O'Hare | Santiago Delgado-Tirado | Claudia Marino | Natalia Chmielewska | Kahira L Saez-Torres | Dhanesh Amarnani | Aaron P Schultz | Reisa A Sperling | David Leyton-Cifuentes | Kewei Chen | Ana Baena | David Aguillon | Silvia Rios-Romenets | Margarita Giraldo | Edmarie Guzmán-Vélez | Daniel J Norton | Enmanuelle Pardilla-Delgado | Arabiye Artola | Justin S Sanchez | Juliana Acosta-Uribe | Matthew Lalli | Kenneth S Kosik | Matthew J Huentelman | Henrik Zetterberg | Kaj Blennow | Rebecca A Reiman | Ji Luo | Yinghua Chen | Pradeep Thiyyagura | Yi Su | Gyungah R Jun | Marcus Naymik | Xiaowu Gai | Moiz Bootwalla | Jianling Ji | Lishuang Shen | John B Miller | Leo A Kim | Pierre N Tariot | Keith A Johnson | Eric M Reiman | Yakeel T Quiroz
Nature medicine | 2019

We identified a PSEN1 (presenilin 1) mutation carrier from the world's largest autosomal dominant Alzheimer's disease kindred, who did not develop mild cognitive impairment until her seventies, three decades after the expected age of clinical onset. The individual had two copies of the APOE3 Christchurch (R136S) mutation, unusually high brain amyloid levels and limited tau and neurodegenerative measurements. Our findings have implications for the role of APOE in the pathogenesis, treatment and prevention of Alzheimer's disease.

Pubmed ID: 31686034 RIS Download

Associated grants

  • Agency: NIA NIH HHS, United States
    Id: R01 AG055444
  • Agency: NIA NIH HHS, United States
    Id: R01 AG031581
  • Agency: NIA NIH HHS, United States
    Id: P30 AG062421
  • Agency: NIA NIH HHS, United States
    Id: R01 AG054671
  • Agency: NINDS NIH HHS, United States
    Id: RF1 NS110048
  • Agency: NIH HHS, United States
    Id: DP5 OD019833
  • Agency: NINDS NIH HHS, United States
    Id: UH3 NS100121
  • Agency: NIA NIH HHS, United States
    Id: RF1 AG057519
  • Agency: NIA NIH HHS, United States
    Id: P30 AG019610

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This is a list of tools and resources that we have found mentioned in this publication.


FreeSurfer (tool)

RRID:SCR_001847

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

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Addgene (tool)

RRID:SCR_002037

Non-profit plasmid repository dedicated to helping scientists around the world share high-quality plasmids. Facilitates archiving and distributing DNA-based research reagents and associated data to scientists worldwide. Repository contains over 65,000 plasmids, including special collections on CRISPR, fluorescent proteins, and ready-to-use viral preparations. There is no cost for scientists to deposit plasmids, which saves time and money associated with shipping plasmids themselves. All plasmids are fully sequenced for validation and sequencing data is openly available. We handle the appropriate Material Transfer Agreements (MTA) with institutions, facilitating open exchange and offering intellectual property and liability protection for depositing scientists. Furthermore, we curate free educational resources for the scientific community including a blog, eBooks, video protocols, and detailed molecular biology resources.

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SAMTOOLS (tool)

RRID:SCR_002105

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RRID:SCR_002798

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RRID:SCR_003496

Collection of curated, non-redundant genomic DNA, transcript RNA, and protein sequences produced by NCBI. Provides a reference for genome annotation, gene identification and characterization, mutation and polymorphism analysis, expression studies, and comparative analyses. Accessed through the Nucleotide and Protein databases.

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ExAc (tool)

RRID:SCR_004068

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. An aggregated data platform for genome sequencing data created by a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The data set provided on this website spans 61,486 unrelated individuals sequenced as part of various disease-specific and population genetic studies. They have removed individuals affected by severe pediatric disease, so this data set should serve as a useful reference set of allele frequencies for severe disease studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects. They ask that you not publish global (genome-wide) analyses of these data until after the ExAC flagship paper has been published, estimated to be in early 2015. If you''re uncertain which category your analyses fall into, please email them. The aggregation and release of summary data from the exomes collected by the Exome Aggregation Consortium has been approved by the Partners IRB (protocol 2013P001477, Genomic approaches to gene discovery in rare neuromuscular diseases).

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Novus Biologicals (tool)

RRID:SCR_004286

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Applied Biosystems (tool)

RRID:SCR_005039

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RRID:SCR_007931

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RRID:SCR_013575

Company provides laboratories worldwide with analytical instruments and supplies, clinical and diagnostic testing services, consumables, applications and expertise in life sciences and applied chemical markets.

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Seurat (tool)

RRID:SCR_016341

Software as R package designed for QC, analysis, and exploration of single cell RNA-seq data. Enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data.

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