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Discovery and validation of autosomal dominant Alzheimer’s disease mutations

BACKGROUND: Alzheimer’s disease (AD) is a neurodegenerative disease that is clinically characterized by progressive cognitive decline. Mutations in amyloid-β precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2) are the pathogenic cause of autosomal dominant AD (ADAD). However, pol...

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Autores principales: Hsu, Simon, Gordon, Brian A., Hornbeck, Russ, Norton, Joanne B., Levitch, Denise, Louden, Adia, Ziegemeier, Ellen, Laforce, Robert, Chhatwal, Jasmeer, Day, Gregory S., McDade, Eric, Morris, John C., Fagan, Anne M., Benzinger, Tammie L. S., Goate, Alison M., Cruchaga, Carlos, Bateman, Randall J., Karch, Celeste M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052673/
https://www.ncbi.nlm.nih.gov/pubmed/30021643
http://dx.doi.org/10.1186/s13195-018-0392-9
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author Hsu, Simon
Gordon, Brian A.
Hornbeck, Russ
Norton, Joanne B.
Levitch, Denise
Louden, Adia
Ziegemeier, Ellen
Laforce, Robert
Chhatwal, Jasmeer
Day, Gregory S.
McDade, Eric
Morris, John C.
Fagan, Anne M.
Benzinger, Tammie L. S.
Goate, Alison M.
Cruchaga, Carlos
Bateman, Randall J.
Karch, Celeste M.
author_facet Hsu, Simon
Gordon, Brian A.
Hornbeck, Russ
Norton, Joanne B.
Levitch, Denise
Louden, Adia
Ziegemeier, Ellen
Laforce, Robert
Chhatwal, Jasmeer
Day, Gregory S.
McDade, Eric
Morris, John C.
Fagan, Anne M.
Benzinger, Tammie L. S.
Goate, Alison M.
Cruchaga, Carlos
Bateman, Randall J.
Karch, Celeste M.
author_sort Hsu, Simon
collection PubMed
description BACKGROUND: Alzheimer’s disease (AD) is a neurodegenerative disease that is clinically characterized by progressive cognitive decline. Mutations in amyloid-β precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2) are the pathogenic cause of autosomal dominant AD (ADAD). However, polymorphisms also exist within these genes. METHODS: In order to distinguish polymorphisms from pathogenic mutations, the DIAN Expanded Registry has implemented an algorithm for determining ADAD pathogenicity using available information from multiple domains, including genetic, bioinformatic, clinical, imaging, and biofluid measures and in vitro analyses. RESULTS: We propose that PSEN1 M84V, PSEN1 A396T, PSEN2 R284G, and APP T719N are likely pathogenic mutations, whereas PSEN1 c.379_382delXXXXinsG and PSEN2 L238F have uncertain pathogenicity. CONCLUSIONS: In defining a subset of these variants as pathogenic, individuals from these families can now be enrolled in observational and clinical trials. This study outlines a critical approach for translating genetic data into meaningful clinical outcomes.
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spelling pubmed-60526732018-07-23 Discovery and validation of autosomal dominant Alzheimer’s disease mutations Hsu, Simon Gordon, Brian A. Hornbeck, Russ Norton, Joanne B. Levitch, Denise Louden, Adia Ziegemeier, Ellen Laforce, Robert Chhatwal, Jasmeer Day, Gregory S. McDade, Eric Morris, John C. Fagan, Anne M. Benzinger, Tammie L. S. Goate, Alison M. Cruchaga, Carlos Bateman, Randall J. Karch, Celeste M. Alzheimers Res Ther Research BACKGROUND: Alzheimer’s disease (AD) is a neurodegenerative disease that is clinically characterized by progressive cognitive decline. Mutations in amyloid-β precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2) are the pathogenic cause of autosomal dominant AD (ADAD). However, polymorphisms also exist within these genes. METHODS: In order to distinguish polymorphisms from pathogenic mutations, the DIAN Expanded Registry has implemented an algorithm for determining ADAD pathogenicity using available information from multiple domains, including genetic, bioinformatic, clinical, imaging, and biofluid measures and in vitro analyses. RESULTS: We propose that PSEN1 M84V, PSEN1 A396T, PSEN2 R284G, and APP T719N are likely pathogenic mutations, whereas PSEN1 c.379_382delXXXXinsG and PSEN2 L238F have uncertain pathogenicity. CONCLUSIONS: In defining a subset of these variants as pathogenic, individuals from these families can now be enrolled in observational and clinical trials. This study outlines a critical approach for translating genetic data into meaningful clinical outcomes. BioMed Central 2018-07-18 /pmc/articles/PMC6052673/ /pubmed/30021643 http://dx.doi.org/10.1186/s13195-018-0392-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hsu, Simon
Gordon, Brian A.
Hornbeck, Russ
Norton, Joanne B.
Levitch, Denise
Louden, Adia
Ziegemeier, Ellen
Laforce, Robert
Chhatwal, Jasmeer
Day, Gregory S.
McDade, Eric
Morris, John C.
Fagan, Anne M.
Benzinger, Tammie L. S.
Goate, Alison M.
Cruchaga, Carlos
Bateman, Randall J.
Karch, Celeste M.
Discovery and validation of autosomal dominant Alzheimer’s disease mutations
title Discovery and validation of autosomal dominant Alzheimer’s disease mutations
title_full Discovery and validation of autosomal dominant Alzheimer’s disease mutations
title_fullStr Discovery and validation of autosomal dominant Alzheimer’s disease mutations
title_full_unstemmed Discovery and validation of autosomal dominant Alzheimer’s disease mutations
title_short Discovery and validation of autosomal dominant Alzheimer’s disease mutations
title_sort discovery and validation of autosomal dominant alzheimer’s disease mutations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052673/
https://www.ncbi.nlm.nih.gov/pubmed/30021643
http://dx.doi.org/10.1186/s13195-018-0392-9
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