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A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes
- 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.
- Subjects :
- Etiology
Susceptibility genes
Genome-wide association study
Disease
Computational biology
QH426-470
Biology
Models, Biological
Polymorphism, Single Nucleotide
Transcriptome
symbols.namesake
Alzheimer Disease
Databases, Genetic
Genetics
Humans
Genetic Predisposition to Disease
Molecular Biology
Gene
Alleles
Genetics (clinical)
Genetic association
Transcriptome-wide association study
Research
Gene Expression Profiling
Chromosome Mapping
Computational Biology
Resorcinols
Prognosis
Genetic architecture
Human genetics
Bonferroni correction
Gene Expression Regulation
Organ Specificity
symbols
Medicine
Molecular Medicine
Alzheimer’s disease
Genome-Wide Association Study
Signal Transduction
Subjects
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