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Genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition

OBJECTIVE: Alzheimer disease (AD) is the most common form of dementia and is responsible for a huge and growing health care burden in the developed and developing world. The polygenic risk score (PRS) approach has shown 75 to 84% prediction accuracy of identifying individuals with AD risk. METHODS:...

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Autores principales: Leonenko, Ganna, Shoai, Maryam, Bellou, Eftychia, Sims, Rebecca, Williams, Julie, Hardy, John, Escott‐Price, Valentina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771864/
https://www.ncbi.nlm.nih.gov/pubmed/31199530
http://dx.doi.org/10.1002/ana.25530
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author Leonenko, Ganna
Shoai, Maryam
Bellou, Eftychia
Sims, Rebecca
Williams, Julie
Hardy, John
Escott‐Price, Valentina
author_facet Leonenko, Ganna
Shoai, Maryam
Bellou, Eftychia
Sims, Rebecca
Williams, Julie
Hardy, John
Escott‐Price, Valentina
author_sort Leonenko, Ganna
collection PubMed
description OBJECTIVE: Alzheimer disease (AD) is the most common form of dementia and is responsible for a huge and growing health care burden in the developed and developing world. The polygenic risk score (PRS) approach has shown 75 to 84% prediction accuracy of identifying individuals with AD risk. METHODS: In this study, we tested the prediction accuracy of AD, mild cognitive impairment (MCI), and amyloid deposition risks with PRS, including and excluding APOE genotypes in a large publicly available dataset with extensive phenotypic data, the Alzheimer's Disease Neuroimaging Initiative cohort. Among MCI individuals with amyloid‐positive status, we examined PRS prediction accuracy in those who converted to AD. In addition, we divided polygenic risk score by biological pathways and tested them independently for distinguishing between AD, MCI, and amyloid deposition. RESULTS: We found that AD and MCI are predicted by both APOE genotype and PRS (area under the curve [AUC] = 0.82% and 68%, respectively). Amyloid deposition is predicted by APOE only (AUC = 79%). Further progression to AD of individuals with MCI and amyloid‐positive status is predicted by PRS over and above APOE (AUC = 67%). In pathway‐specific PRS analyses, the protein–lipid complex has the strongest association with AD and amyloid deposition even when genes in the APOE region were removed (p = 0.0055 and p = 0.0079, respectively). INTERPRETATION: The results showed different pattern of APOE contribution in PRS risk predictions of AD/MCI and amyloid deposition. Our study suggests that APOE mostly contributes to amyloid accumulation and the PRS affects risk of further conversion to AD. ANN NEUROL 2019;86:427–435
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spelling pubmed-67718642019-10-07 Genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition Leonenko, Ganna Shoai, Maryam Bellou, Eftychia Sims, Rebecca Williams, Julie Hardy, John Escott‐Price, Valentina Ann Neurol Research Articles OBJECTIVE: Alzheimer disease (AD) is the most common form of dementia and is responsible for a huge and growing health care burden in the developed and developing world. The polygenic risk score (PRS) approach has shown 75 to 84% prediction accuracy of identifying individuals with AD risk. METHODS: In this study, we tested the prediction accuracy of AD, mild cognitive impairment (MCI), and amyloid deposition risks with PRS, including and excluding APOE genotypes in a large publicly available dataset with extensive phenotypic data, the Alzheimer's Disease Neuroimaging Initiative cohort. Among MCI individuals with amyloid‐positive status, we examined PRS prediction accuracy in those who converted to AD. In addition, we divided polygenic risk score by biological pathways and tested them independently for distinguishing between AD, MCI, and amyloid deposition. RESULTS: We found that AD and MCI are predicted by both APOE genotype and PRS (area under the curve [AUC] = 0.82% and 68%, respectively). Amyloid deposition is predicted by APOE only (AUC = 79%). Further progression to AD of individuals with MCI and amyloid‐positive status is predicted by PRS over and above APOE (AUC = 67%). In pathway‐specific PRS analyses, the protein–lipid complex has the strongest association with AD and amyloid deposition even when genes in the APOE region were removed (p = 0.0055 and p = 0.0079, respectively). INTERPRETATION: The results showed different pattern of APOE contribution in PRS risk predictions of AD/MCI and amyloid deposition. Our study suggests that APOE mostly contributes to amyloid accumulation and the PRS affects risk of further conversion to AD. ANN NEUROL 2019;86:427–435 John Wiley & Sons, Inc. 2019-07-01 2019-09 /pmc/articles/PMC6771864/ /pubmed/31199530 http://dx.doi.org/10.1002/ana.25530 Text en © 2019 The Authors. Annals of Neurology published by Wiley Periodicals, Inc. on behalf of American Neurological Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Leonenko, Ganna
Shoai, Maryam
Bellou, Eftychia
Sims, Rebecca
Williams, Julie
Hardy, John
Escott‐Price, Valentina
Genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition
title Genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition
title_full Genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition
title_fullStr Genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition
title_full_unstemmed Genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition
title_short Genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition
title_sort genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771864/
https://www.ncbi.nlm.nih.gov/pubmed/31199530
http://dx.doi.org/10.1002/ana.25530
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