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 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.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2023

Author dc:creator

• Ismoldayeva, Assel

Advisors dc:contributor.advisor

• Kellis, Manolis
• Tanigawa, Yosuke

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/150306

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/150306