Chronic Obstructive Pulmonary Disease (COPD) is a respiratory illness that affects millions of people all over the world. It is a major cause of chronic morbidity and mortality and a serious global public health problem. COPD is the fourth leading cause of death worldwide. Although the environmental causes of COPD which predominantly include cigarette smoking are well-documented, to this date the genetic underpinnings of COPD remain largely unknown. Furthermore, in the current landscape of a respiratory pandemic, COPD patients are at a much higher risk for developing other respiratory illnesses and co-morbidities. In this study we use genomic data from case-control based cohorts to study the genetic patterns and profiles of patients with this illness in order to identify key genetic factors and thereby gain a deeper understanding of the disease. Focus on a network-based approach would help to provide a more comprehensive understanding of the disease. This approach would also help provide a clearer understanding of the pathways and the genes involved therein thereby leading to better more actionable insights.
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