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Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data

Alzheimer’s disease (AD) is the most common cause of dementia. It is the fifth leading cause of death among elderly people. With high genetic heritability (79%), finding the disease’s causal genes is a crucial step in finding a treatment for AD. Following the International Genomics of Alzheimer’s Pr...

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Autores principales: Hao, Sicheng, Wang, Rui, Zhang, Yu, Zhan, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330278/
https://www.ncbi.nlm.nih.gov/pubmed/30666269
http://dx.doi.org/10.3389/fgene.2018.00653
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author Hao, Sicheng
Wang, Rui
Zhang, Yu
Zhan, Hui
author_facet Hao, Sicheng
Wang, Rui
Zhang, Yu
Zhan, Hui
author_sort Hao, Sicheng
collection PubMed
description Alzheimer’s disease (AD) is the most common cause of dementia. It is the fifth leading cause of death among elderly people. With high genetic heritability (79%), finding the disease’s causal genes is a crucial step in finding a treatment for AD. Following the International Genomics of Alzheimer’s Project (IGAP), many disease-associated genes have been identified; however, we do not have enough knowledge about how those disease-associated genes affect gene expression and disease-related pathways. We integrated GWAS summary data from IGAP and five different expression-level data by using the transcriptome-wide association study method and identified 15 disease-causal genes under strict multiple testing (α < 0.05), and four genes are newly identified. We identified an additional 29 potential disease-causal genes under a false discovery rate (α < 0.05), and 21 of them are newly identified. Many genes we identified are also associated with an autoimmune disorder.
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spelling pubmed-63302782019-01-21 Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data Hao, Sicheng Wang, Rui Zhang, Yu Zhan, Hui Front Genet Genetics Alzheimer’s disease (AD) is the most common cause of dementia. It is the fifth leading cause of death among elderly people. With high genetic heritability (79%), finding the disease’s causal genes is a crucial step in finding a treatment for AD. Following the International Genomics of Alzheimer’s Project (IGAP), many disease-associated genes have been identified; however, we do not have enough knowledge about how those disease-associated genes affect gene expression and disease-related pathways. We integrated GWAS summary data from IGAP and five different expression-level data by using the transcriptome-wide association study method and identified 15 disease-causal genes under strict multiple testing (α < 0.05), and four genes are newly identified. We identified an additional 29 potential disease-causal genes under a false discovery rate (α < 0.05), and 21 of them are newly identified. Many genes we identified are also associated with an autoimmune disorder. Frontiers Media S.A. 2019-01-07 /pmc/articles/PMC6330278/ /pubmed/30666269 http://dx.doi.org/10.3389/fgene.2018.00653 Text en Copyright © 2019 Hao, Wang, Zhang and Zhan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Hao, Sicheng
Wang, Rui
Zhang, Yu
Zhan, Hui
Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data
title Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data
title_full Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data
title_fullStr Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data
title_full_unstemmed Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data
title_short Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data
title_sort prediction of alzheimer’s disease-associated genes by integration of gwas summary data and expression data
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330278/
https://www.ncbi.nlm.nih.gov/pubmed/30666269
http://dx.doi.org/10.3389/fgene.2018.00653
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