Unknown

Dataset Information

0

Genetics of late-onset Alzheimer's disease: update from the alzgene database and analysis of shared pathways.


ABSTRACT: The genetics of late-onset Alzheimer's disease (LOAD) has taken impressive steps forwards in the last few years. To date, more than six-hundred genes have been linked to the disorder. However, only a minority of them are supported by a sufficient level of evidence. This review focused on such genes and analyzed shared biological pathways. Genetic markers were selected from a web-based collection (Alzgene). For each SNP in the database, it was possible to perform a meta-analysis. The quality of studies was assessed using criteria such as size of research samples, heterogeneity across studies, and protection from publication bias. This produced a list of 15 top-rated genes: APOE, CLU, PICALM, EXOC3L2, BIN1, CR1, SORL1, TNK1, IL8, LDLR, CST3, CHRNB2, SORCS1, TNF, and CCR2. A systematic analysis of gene ontology terms associated with each marker showed that most genes were implicated in cholesterol metabolism, intracellular transport of beta-amyloid precursor, and autophagy of damaged organelles. Moreover, the impact of these genes on complement cascade and cytokine production highlights the role of inflammatory response in AD pathogenesis. Gene-gene and gene-environment interactions are prominent issues in AD genetics, but they are not specifically featured in the Alzgene database.

SUBMITTER: Olgiati P 

PROVIDER: S-EPMC3235576 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

altmetric image

Publications

Genetics of late-onset Alzheimer's disease: update from the alzgene database and analysis of shared pathways.

Olgiati Paolo P   Politis Antonis M AM   Papadimitriou George N GN   De Ronchi Diana D   Serretti Alessandro A  

International journal of Alzheimer's disease 20111210


The genetics of late-onset Alzheimer's disease (LOAD) has taken impressive steps forwards in the last few years. To date, more than six-hundred genes have been linked to the disorder. However, only a minority of them are supported by a sufficient level of evidence. This review focused on such genes and analyzed shared biological pathways. Genetic markers were selected from a web-based collection (Alzgene). For each SNP in the database, it was possible to perform a meta-analysis. The quality of s  ...[more]

Similar Datasets

| S-EPMC5446752 | biostudies-literature
| S-EPMC7769164 | biostudies-literature
| S-EPMC4013444 | biostudies-literature
| S-EPMC5940751 | biostudies-literature
| S-EPMC4683047 | biostudies-literature
| S-EPMC5803427 | biostudies-literature
| S-EPMC4511863 | biostudies-literature
2024-08-05 | GSE252932 | GEO
| S-EPMC3142096 | biostudies-literature
2024-08-05 | GSE267613 | GEO