Respiratory diseases such as asthma, chronic obstructive pulmonary disease (COPD), and pulmonary fibrosis affect millions of people worldwide. These conditions often arise from a complex combination of genetic susceptibility and environmental exposures, including air pollution, wildfire smoke, and allergens. Understanding how these factors interact is essential for improving prevention, diagnosis, and treatment.

At the Centre for Lung Health (CLH) at the University of British Columbia, the AIR-Gen (Adaptive Integrated Respiratory Genomics) infrastructure brings together advanced biobanking and computing systems to accelerate research into environmental lung disease. This initiative enables scientists to link biological samples, environmental data, and genomic information in a secure and scalable research environment.

Why This Infrastructure Matters

Modern biomedical research generates vast amounts of data—from DNA sequencing to clinical records and environmental exposure measurements. Yet many discoveries fail to translate into real-world patient care because these data sources are not well integrated.

AIR-Gen addresses this challenge by creating a unified platform that combines biological sample repositories (biobanks), high-performance computing systems, and secure data management tools.

Together, these resources enable researchers to study how genes, environment, and disease interact, helping to develop more personalized approaches to respiratory health.

Biobanking: Preserving Biological Samples for Future Discovery

A central component of AIR-Gen is a state-of-the-art respiratory biobank. Biobanks collect and preserve biological materials such as blood, tissue, and patient-derived cells. These samples are stored under carefully controlled conditions so they can be analyzed years later as new technologies emerge.

Our biobank infrastructure includes ultra-low temperature freezers for long-term storage, cryogenic liquid nitrogen systems for preserving sensitive samples, and digital sample tracking systems that allow researchers to locate and monitor samples efficiently.

These resources ensure that valuable clinical samples are securely preserved, accurately catalogued, and accessible for future studies.

By connecting biological samples to environmental and clinical data, the AIR-Gen biobank helps researchers investigate why some individuals develop lung disease after pollution exposure while others do not, which genetic factors influence vulnerability to wildfire smoke or allergens, and whether biological markers can predict disease progression or treatment response.

Computing Infrastructure: Turning Data into Knowledge

Analyzing modern genomic and environmental datasets requires powerful computing systems. AIR-Gen includes a dedicated bioinformatics computing environment designed to process large-scale health and environmental data.

This infrastructure provides secure servers for genomic and clinical datasets, analytical platforms for integrating multiple types of biological data, and interactive software tools that allow researchers and clinicians to explore complex datasets.

The platform is designed to be modular and scalable, meaning it can grow as research needs evolve. Researchers can also connect to external high-performance computing clusters to run large analyses while maintaining secure local data storage.

Importantly, the system includes user-friendly analytical tools that reduce the need for advanced programming skills, allowing clinicians and trainees to participate in data-driven research.

Bridging Discovery and Patient Care

The AIR-Gen infrastructure supports research aimed at translating genomic discoveries into real clinical applications. Researchers are developing genomic risk scores that combine multiple genetic markers to estimate an individual’s susceptibility to respiratory disease.

By integrating these tools with clinical and environmental data, the platform may help identify individuals at higher risk of disease, improve early detection and prevention strategies, and guide personalized treatment approaches.

The ultimate goal is to move beyond a one-size-fits-all model of healthcare and enable precision medicine tailored to each individual’s biology and environment.

Training the Next Generation of Scientists

AIR-Gen also serves as a training hub for students and early-career researchers. Each year the program supports trainees in genomics, bioinformatics, environmental health, and clinical research.

Through hands-on experience with cutting-edge infrastructure, trainees gain the skills needed to address complex health challenges at the intersection of data science, medicine, and environmental health.

This infrastructure strengthens collaborations between researchers, clinicians, and partners across Canada and internationally. By linking data, samples, and analytical tools, AIR-Gen creates a shared platform that supports interdisciplinary research, open-source software development, and collaborative studies across institutions.

These efforts help accelerate discovery while ensuring that research benefits patients and communities affected by environmental lung disease.

Building the Future of Respiratory Precision Medicine

The AIR-Gen infrastructure represents a major step toward understanding how genetics and environmental exposures shape respiratory health. By integrating biobanking, computing, and clinical research, this platform will enable discoveries that improve patient care, inform public health strategies, and advance Canada’s leadership in genomics research.