Data Entry Maintenance

Metadata Commons Identifier

HMC000049

Project Title

Integration of environmental and genomic risk factors to predict fibrotic interstitial lung disease (fILD) progression.

Project Description

<div class="ewa-rteLine"><strong>Motivation</strong>: Fibrotic interstitial lung diseases (fILDs) are a group of diseases characterized by extensive lung scarring that results in impaired lung function, and early mortality. Patients with idiopathic pulmonary fibrosis (IPF), the most common fILD, have a median survival of only 3-5 years. Air pollution contributes to fILD development and progression, but the underlying mechanisms are not well understood. Our recent research has shown that environmental exposures contribute to fILD progression in part through epigenetic alterations. However, it remains unclear how genetic factors influence the epigenome and how complex genomic-environmental interactions contribute to lung fibrosis. Our innovative approach to address this question pairs satellite-derived air pollution measurements with clinical data, including lung function and high-resolution computed tomography (HRCT) scans, to evaluate how pollution exposures impact genetic susceptibility, epigenetic modifications, and structural changes within the lungs of patients with fILD.</div> <div class="ewa-rteLine"><strong>Overarching goal</strong>: To determine whether the integration of environmental and genomic data improves the prediction of progression and optimization of management for patients with fILD.</div> <div class="ewa-rteLine"> </div> <div class="ewa-rteLine">Genome BC project: <strong>DIA001</strong></div>

Project Funder(s)

Genome British Columbia

Project Institution(s)

University of British Columbia, Centre for Heart Lung Innovation

Project Investigator(s)

Christopher Ryerson, Tillie-Louise Hackett, Gillian Goobie

Data Access Request URL*

Keywords

Genomics, Epigenomics, Air pollution

Publication Link

Study Completed

Cohort Name

Interstitial Lung disease (ILD) Biomarkers Study

Cohort Size

1000

Disease/Condition Studied

interstitial lung disease

Enrollment Time Window

2010-2024

Biobanking Consent Available

Medical History Available

Ethnicity Availability

Time Course

Patient Phenotypes

Patient Outcomes

Mortality (death or lung transplant), lung function decline

Clinical Data Types Available

Demographics (age, sex, smoking history, race, occupation), residential location data with subsequent pollution matching and neighbourhood disadvantage metrics, pulmonary function testing data (FVC and DLCO), CT imaging data, mortality data, hospitalizations (limited)

Time Course Data Points

Serial pulmonary function tests (PFTs), follow-up on mortality and lung transplant data

Enrollment City

Groups

Project

Cohort

Enrollment City

Groups

Samples and Omics