10.3389/fgene.2018.00653.s001
Sicheng Hao
Sicheng
Hao
Rui Wang
Rui
Wang
Yu Zhang
Yu
Zhang
Hui Zhan
Hui
Zhan
Table_1_Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data.DOCX
Frontiers
2019
Alzheimer’s disease
genome-wide association study
autoimmune diseases
transcriptome-wide association study
false discover rate
2019-01-07 04:14:46
Dataset
https://frontiersin.figshare.com/articles/dataset/Table_1_Prediction_of_Alzheimer_s_Disease-Associated_Genes_by_Integration_of_GWAS_Summary_Data_and_Expression_Data_DOCX/7552361
<p>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.</p>