Alzheimer's disease: rare variants with large effect sizes
Jorge L Del-Aguila1, Daniel C Koboldt2, Kathleen Black1
1Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA; Hope Center for Neurological Disorders. Washington University School of Medicine, 660 S. Euclid Ave. B8111, St. Louis, MO 63110, USA.
New sequencing technologies help identify Alzheimer's disease (AD) risk genes with large effects. Large datasets combining sequencing and genotyping are crucial for discovering novel AD-associated genes.
Area of Science:
- Genetics
- Neuroscience
- Genomics
Background:
- Alzheimer's disease (AD) genetics research has advanced with new sequencing and genotyping technologies.
- These technologies focus on low-frequency and coding variants, enabling the identification of novel genes associated with AD risk.
Purpose of the Study:
- To highlight the advantages of advanced sequencing and genotyping over traditional genome-wide association studies (GWAS) for AD genetics.
- To discuss the challenges and future directions in identifying AD risk genes.
Main Methods:
- Utilizing next-generation sequencing and novel genotyping arrays to analyze low-frequency and coding variants.
- Leveraging large datasets exceeding 10,000 cases and controls.
- Combining sequencing and genotyping approaches for comprehensive genetic analysis.
Main Results:
- Identification of novel coding variants with large effect sizes linked to Alzheimer's disease risk.
- Discovery of novel genes (e.g., TREM2, PLD3, UNC5C, AKAP9) associated with AD.
- Enabling functional studies of identified variants and genes in cellular and animal models.
Conclusions:
- Advanced sequencing and genotyping offer gene-driven associations and functional insights superior to traditional GWAS.
- Replication of results for low-frequency variants is challenging due to population variability.
- Large-scale, combined sequencing and genotyping studies are essential for future Alzheimer's disease gene discovery.
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