Lung function measures reflect the physiological state of the lungs, and are essential for the diagnosis and management of obstructive lung diseases such as asthma and chronic obstructive pulmonary disease (COPD), two common diseases with a huge burden on patients and health care systems. The measures are thought to have a genetic component, yet it is not known exactly how genes affect lung function. One mechanism by which genetic variation can influence lung function is through changing the amount of protein produced by that gene. This can be discovered by relating DNA sequence variations to mRNA or protein expression. Hence, to unravel the molecular mechanisms underlying lung function, it is very informative to study the genetic control of lung-specific gene expression.
Dr. Obeidat hypothesizes that a subset of lung function and obstructive lung diseases associated genetic loci act to change the level of expression of their gene product within the lung.
Dr. Obeidat is a member of a team that conducted genome-wide genotyping and gene expression analysis of lung tissue samples from ~1,200 individuals; the worlds largest study of its kind. The study identified ~17,000 loci where variants were related to the level of gene expression. Variants that are associated with both lung function and gene expression will be prioritized as being potentially causal for variation in lung function and will be investigated further. Further, bioinformatics methods will be used to identify molecular pathways and networks enriched in the genes driving lung function variation.
This approach represents the next frontier in complex diseases genetics and has been successfully implemented in other disease areas. With this integrative genomics method, Dr. Obeidat aims to use the new genetics derived knowledge to develop new therapies to alleviate common respiratory diseases.