Identifying genetic variants linked to COPD using advanced deep learning techniques

COPD GWAS Functional Variant Identification in Airway Epithelial Cells using Deep Learning Splicing Models

['FUNDING_R01'] · BRIGHAM AND WOMEN'S HOSPITAL · NIH-11144504

This study is looking at how certain genes might affect chronic obstructive pulmonary disease (COPD) by examining cells in the lungs, and it hopes to find new ways to improve treatments for people living with this condition.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorBRIGHAM AND WOMEN'S HOSPITAL (nih funded)
Locations1 site (BOSTON, UNITED STATES)
Trial IDNIH-11144504 on ClinicalTrials.gov

What this research studies

This research focuses on chronic obstructive pulmonary disease (COPD) and aims to identify genetic variants that contribute to the disease by analyzing airway epithelial cells. Using advanced deep learning models, the study will explore how alternative splicing of RNA affects gene expression in response to cigarette smoke exposure. By generating detailed maps of genetic variations and their functional implications, the research seeks to uncover new targets for potential treatments. Patients may benefit from insights that could lead to more effective therapies for COPD.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals diagnosed with chronic obstructive pulmonary disease (COPD), particularly those with a history of cigarette smoke exposure.

Not a fit: Patients without COPD or those who do not have a history of cigarette smoke exposure may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to the development of new, disease-modifying treatments for COPD.

How similar studies have performed: Previous research has shown success in identifying genetic variants linked to other diseases using similar genomic and deep learning approaches, indicating a promising avenue for COPD as well.

Where this research is happening

BOSTON, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.