Progress and Research Priorities in Imaging Genomics for Heart and Lung Disease: Summary of an NHLBI Workshop

Circ Cardiovasc Imaging. 2021 Aug;14(8):e012943. doi: 10.1161/CIRCIMAGING.121.012943. Epub 2021 Aug 13.

Abstract

Imaging genomics is a rapidly evolving field that combines state-of-the-art bioimaging with genomic information to resolve phenotypic heterogeneity associated with genomic variation, improve risk prediction, discover prevention approaches, and enable precision diagnosis and treatment. Contemporary bioimaging methods provide exceptional resolution generating discrete and quantitative high-dimensional phenotypes for genomics investigation. Despite substantial progress in combining high-dimensional bioimaging and genomic data, methods for imaging genomics are evolving. Recognizing the potential impact of imaging genomics on the study of heart and lung disease, the National Heart, Lung, and Blood Institute convened a workshop to review cutting-edge approaches and methodologies in imaging genomics studies, and to establish research priorities for future investigation. This report summarizes the presentations and discussions at the workshop. In particular, we highlight the need for increased availability of imaging genomics data in diverse populations, dedicated focus on less common conditions, and centralization of efforts around specific disease areas.

Keywords: cardiovascular disease; genomics; phenotype; prevention; proteins.

Publication types

  • Congress
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Artificial Intelligence
  • Biomedical Research*
  • Diffusion of Innovation
  • Genetic Predisposition to Disease
  • Genetic Variation
  • Heart Diseases / diagnostic imaging*
  • Heart Diseases / genetics
  • Heart Diseases / therapy
  • Humans
  • Imaging Genomics*
  • Lung Diseases / diagnostic imaging*
  • Lung Diseases / genetics
  • Lung Diseases / therapy
  • National Heart, Lung, and Blood Institute (U.S.)
  • Phenotype
  • Predictive Value of Tests
  • Prognosis
  • United States

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