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A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

Authors :
Eric R. Gamazon
Jingjing Zhu
Chong Wu
Dan Zhou
Yanfa Sun
Saranya Canchi
Robert A. Rissman
Nancy J. Cox
Lang Wu
Apollo - University of Cambridge Repository
Gamazon, Eric R [0000-0003-4204-8734]
Source :
Genome Medicine, Vol 13, Iss 1, Pp 1-11 (2021), Genome Medicine
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Funder: University of Hawai'i at Mānoa; doi: http://dx.doi.org/10.13039/100008783<br />Background: Genome-wide association studies (GWAS) have identified over 56 susceptibility loci associated with Alzheimer’s disease (AD), but the genes responsible for these associations remain largely unknown. Methods: We performed a large transcriptome-wide association study (TWAS) leveraging modified UTMOST (Unified Test for MOlecular SignaTures) prediction models of ten brain tissues that are potentially related to AD to discover novel AD genetic loci and putative target genes in 71,880 (proxy) cases and 383,378 (proxy) controls of European ancestry. Results: We identified 53 genes with predicted expression associations with AD risk at Bonferroni correction threshold (P value < 3.38 × 10−6). Based on fine-mapping analyses, 21 genes at nine loci showed strong support for being causal. Conclusions: Our study provides new insights into the etiology and underlying genetic architecture of AD.

Details

ISSN :
1756994X
Volume :
13
Database :
OpenAIRE
Journal :
Genome Medicine
Accession number :
edsair.doi.dedup.....dd6ae02550023cad7a8bd868cb3884a7
Full Text :
https://doi.org/10.1186/s13073-021-00959-y