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multiomics_analysis_for_dementia [2020/06/26 19:26] – [Related work] adminmultiomics_analysis_for_dementia [2020/09/25 19:06] – [Related work] admin
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   - An interactive **timeline**  of Alzheimer's disease by [[https://www.alzforum.org/timeline/alzheimers-disease#2010|AlzForum]].   - An interactive **timeline**  of Alzheimer's disease by [[https://www.alzforum.org/timeline/alzheimers-disease#2010|AlzForum]].
-  - Satizabal, Claudia L., et al. "Genetic architecture of subcortical brain structures in 38,851 individuals." //[[https://www.nature.com/articles/s41588-019-0511-y|Nature genetics]] //51.11 (2019): 1624-1636. \\ They identified a set of genes that is "significantly enriched for //Drosophila//  orthologs associated with neurodevelopmental phenotypes".+  - Satizabal, Claudia L., et al. "Genetic architecture of subcortical brain structures in 38,851 individuals." //[[https://www.nature.com/articles/s41588-019-0511-y|Nature genetics]]// 51.11 (2019): 1624-1636. \\ They identified a set of genes that is "significantly enriched for //Drosophila//  orthologs associated with neurodevelopmental phenotypes".
   - Yamazaki, Yu., et al. "Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies." [[https://www.nature.com/articles/s41582-019-0228-7|Nat Rev Neurol ]](2019): 501–518.   - Yamazaki, Yu., et al. "Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies." [[https://www.nature.com/articles/s41582-019-0228-7|Nat Rev Neurol ]](2019): 501–518.
   - Ferreira, Daniel., et al. Biological subtypes of Alzheimer disease: A systematic review and meta-analysis [[https://n.neurology.org/content/neurology/early/2020/02/11/WNL.0000000000009058.full.pdf|Neurology]] (2020):94:1-13.   - Ferreira, Daniel., et al. Biological subtypes of Alzheimer disease: A systematic review and meta-analysis [[https://n.neurology.org/content/neurology/early/2020/02/11/WNL.0000000000009058.full.pdf|Neurology]] (2020):94:1-13.
   - Sey, Nancy YA, et al. A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles. [[https://www.nature.com/articles/s41593-020-0603-0|Nature Neuroscience]], 2020.   - Sey, Nancy YA, et al. A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles. [[https://www.nature.com/articles/s41593-020-0603-0|Nature Neuroscience]], 2020.
 +  - Borghesan, M., et al. "A **Senescence**-Centric View of Aging: Implications for Longevity and Disease." [[https://www.sciencedirect.com/science/article/abs/pii/S0962892420301434|Trends in Cell Biology]] (2020). The review paper suggested by Christi.