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Using Drosophila to Identify Naturally-Occurring Modifiers of Alzheimer's Disease

Despite significant progress in identifying risk factors for late-onset Alzheimer’s Disease (LOAD), much of the variance in disease pathogenesis remains unexplained, likely due to the contribution of many genes of small effect size. Model organisms such as Drosophila Melanogaster exhibit conservatio...

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Autores principales: Wang, Adrienne, Yang, Ming, Fitzgerald-Cook, Cecilia, Harrison, Ben, Green, Akimi, Hartman, Kensington, Zinkgraf, Matthew, Promislow, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680661/
http://dx.doi.org/10.1093/geroni/igab046.2425
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author Wang, Adrienne
Yang, Ming
Fitzgerald-Cook, Cecilia
Harrison, Ben
Green, Akimi
Hartman, Kensington
Zinkgraf, Matthew
Promislow, Daniel
author_facet Wang, Adrienne
Yang, Ming
Fitzgerald-Cook, Cecilia
Harrison, Ben
Green, Akimi
Hartman, Kensington
Zinkgraf, Matthew
Promislow, Daniel
author_sort Wang, Adrienne
collection PubMed
description Despite significant progress in identifying risk factors for late-onset Alzheimer’s Disease (LOAD), much of the variance in disease pathogenesis remains unexplained, likely due to the contribution of many genes of small effect size. Model organisms such as Drosophila Melanogaster exhibit conservation in both disease-causing genes and cellular processes implicated in Alzheimer’s Disease (AD), offering a genetically tractable model that can be statistically leveraged to identify causal variants. Here, we combine a Drosophila model of AD with the Drosophila Genetic Reference Panel (DGRP), a model of natural variation consisting of over 200 fully sequenced, isogenic lines derived from a wild-caught population. Expression of two proteins closely associated with AD pathogenesis, A□42 and Tau, in the Drosophila eye results in a “rough eye” phenotype, an easily quantifiable phenotype caused by degeneration of the ommatidial array. By quantifying the degree of A□42- and Tau-mediated degeneration across 164 lines of the DGRP and using a gene-based approach to map associations, we have identified and validated a subset of naturally occurring modifiers of degeneration in Drosophila. Enrichment analysis reveals that the set of genes identified in our screen show significant enrichment for genes identified as significant or suggestive (4x10-6>p>2x10-11) in human GWAS studies. The results presented here provide proof-of-principal for an approach that combines the strengths of forward genetic screens in model organisms with the power of human GWAS studies to identify and validate potential risk factors that have been difficult to detect in human studies alone.
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spelling pubmed-86806612021-12-17 Using Drosophila to Identify Naturally-Occurring Modifiers of Alzheimer's Disease Wang, Adrienne Yang, Ming Fitzgerald-Cook, Cecilia Harrison, Ben Green, Akimi Hartman, Kensington Zinkgraf, Matthew Promislow, Daniel Innov Aging Abstracts Despite significant progress in identifying risk factors for late-onset Alzheimer’s Disease (LOAD), much of the variance in disease pathogenesis remains unexplained, likely due to the contribution of many genes of small effect size. Model organisms such as Drosophila Melanogaster exhibit conservation in both disease-causing genes and cellular processes implicated in Alzheimer’s Disease (AD), offering a genetically tractable model that can be statistically leveraged to identify causal variants. Here, we combine a Drosophila model of AD with the Drosophila Genetic Reference Panel (DGRP), a model of natural variation consisting of over 200 fully sequenced, isogenic lines derived from a wild-caught population. Expression of two proteins closely associated with AD pathogenesis, A□42 and Tau, in the Drosophila eye results in a “rough eye” phenotype, an easily quantifiable phenotype caused by degeneration of the ommatidial array. By quantifying the degree of A□42- and Tau-mediated degeneration across 164 lines of the DGRP and using a gene-based approach to map associations, we have identified and validated a subset of naturally occurring modifiers of degeneration in Drosophila. Enrichment analysis reveals that the set of genes identified in our screen show significant enrichment for genes identified as significant or suggestive (4x10-6>p>2x10-11) in human GWAS studies. The results presented here provide proof-of-principal for an approach that combines the strengths of forward genetic screens in model organisms with the power of human GWAS studies to identify and validate potential risk factors that have been difficult to detect in human studies alone. Oxford University Press 2021-12-17 /pmc/articles/PMC8680661/ http://dx.doi.org/10.1093/geroni/igab046.2425 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Wang, Adrienne
Yang, Ming
Fitzgerald-Cook, Cecilia
Harrison, Ben
Green, Akimi
Hartman, Kensington
Zinkgraf, Matthew
Promislow, Daniel
Using Drosophila to Identify Naturally-Occurring Modifiers of Alzheimer's Disease
title Using Drosophila to Identify Naturally-Occurring Modifiers of Alzheimer's Disease
title_full Using Drosophila to Identify Naturally-Occurring Modifiers of Alzheimer's Disease
title_fullStr Using Drosophila to Identify Naturally-Occurring Modifiers of Alzheimer's Disease
title_full_unstemmed Using Drosophila to Identify Naturally-Occurring Modifiers of Alzheimer's Disease
title_short Using Drosophila to Identify Naturally-Occurring Modifiers of Alzheimer's Disease
title_sort using drosophila to identify naturally-occurring modifiers of alzheimer's disease
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680661/
http://dx.doi.org/10.1093/geroni/igab046.2425
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