Statistical and Computational Methods to Dissect Ancestry-Biased Germline Effects in Lung Cancer
Lung cancer is a complex disease influenced by a variety of genetic and environmental factors. The germline mutations associated with the disease vary greatly between the East Asian and the European populations. We explore these differences by analyzing genome-wide association study summary statisti...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/150306 |
| Summary: | Lung cancer is a complex disease influenced by a variety of genetic and environmental factors. The germline mutations associated with the disease vary greatly between the East Asian and the European populations. We explore these differences by analyzing genome-wide association study summary statistics from European and Japanese biobanks. Using stratified linkage disequilibrium regression in conjunction wit gene expression-based and epigenetic annotations, we derive cell-types and biological processes associated with lung cancer and smoking in both populations. |
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