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DepMap
- Alternate Title(s)
- Cancer Dependency Map
- Description
The mutations that cause cancer cells to grow also confer specific vulnerabilities that normal cells lack. Some of these acquired alterations represent compelling therapeutic targets. The challenge is that, for the overwhelming majority of cancers, we do not fully understand the relationship between the genetic alterations of cancer and the dependencies they cause. To solve this problem, we are creating...
- Subject
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Big DataCancerGenomicsPrecision MedicineProteomics
- Access Rights
- Free to AllFree to all with registration
- Local Expert
- Nyasha Chambwe
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Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes
Internal Dataset- Authors
- Catherine RobertsonJamie InshawSuna Onengut-GumuscuWei-Min Chen28 more author(s)...
- Description
We report the largest and most diverse genetic study of type 1 diabetes (T1D) to date (61,427 participants), yielding 78 genome-wide significant (P < 5 × 10−8) regions, including 36 novel. We define credible sets of T1D-associated variants and show they are enriched in immune cell-accessible chromatin, particularly CD4+ effector T cells. Using chromatin accessibility profiling of CD4+ T cells from...
- Subject
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AllelesChromosome MappingDiabetes Mellitus, Type 1Genetic Predisposition to DiseaseGenetic VariationGenomics
- Access Rights
- Free to All
- Local Expert
- Peter Gregersen