The Wheeler Lab

Cardiovascular Medicine

MoTrPAC Consortium

The Molecular Transducers of Physical Activity Consortium (MoTrPAC) aims to generate a map of the molecular response to exercise to improve our understanding of how exercise improves health and prevents disease. Dr. Matthew Wheeler is the Co-PI of the MoTrPAC Bioinformatics Center responsible for the integration and dissemination of all collected data from the multi-omics studies.

NONCOMPACT Consortium

Non-compaction cardiomyopathy (NCCM) is a heterogeneous, poorly understood disorder characterized by a prominent inner layer of loose myocardial tissue, and associated with heart failure, stroke, severe rhythm irregularities and death. Dr. Matthew Wheeler is the Co-I of the NONCOMPACT Consortium whose aim is to identify a structural signature associated with pathological non-compaction and improve developed risk prediction models.

GREGoR Consortium

The GREGoR Consortium (Genomics Research to Elucidate the Genetics of Rare Diseases) seeks to develop and apply approaches to discover the cause of currently unexplained rare genetic disorders. Dr. Matthew Wheeler is the Co-PI of the GRGEoR Stanford Site whose mission is to provide a platform for functional genomics research and validation to improve diagnosis in Mendelian disease.

Undiagnosed Diseases Network

The Undiagnosed Diseases Network (UDN) is a research study backed by the National Institutes of Health that seeks to provide answers for patients and families affected by these mysterious conditions. Dr. Matthew Wheeler is the Director of the Stanford Center for Undiagnosed Diseases that is dedicated to finding answers for people with rare diseases and advancing our understanding of genetics.

Current Research and Scholarly Interests

  • Translational research in rare and undiagnosed diseases.
  • Basic and clinical research in cardiomyopathy genetics, mechanisms, screening, and treatment.
  • Investigating novel agents for treatment of hypertrophic cardiomyopathy and new mechanisms in heart failure.
  • Cardiovascular screening and genetics in competitive athletes, disease gene discovery in cardiomyopathy and rare disease.
  • Informatics approaches to rare disease and multiomics.
  • Molecular transducers of physical activity bioinformatics.

Resources