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[Preprint]. 2023 Dec 26:2023.12.22.23299696.
doi: 10.1101/2023.12.22.23299696.

Genomic Medicine Guidance: A Point-of-Care App for Heritable Thoracic Aortic Diseases

Rohan Patil  1 , Fatima Ashraf  2 , Samer Abu Dayeh  1 , Siddharth K Prakash  1
Affiliations

Genomic Medicine Guidance: A Point-of-Care App for Heritable Thoracic Aortic Diseases

Rohan Patil et al. medRxiv. .

Update in

Abstract

Genetic testing can determine familial and personal risks for heritable thoracic aortic aneurysms and dissections (TAD). The 2022 ACC/AHA guidelines for TAD recommend management decisions based on the specific gene mutation. However, many clinicians lack sufficient comfort or insight to integrate genetic information into clinical practice. We therefore developed the Genomic Medicine Guidance (GMG) app, an interactive point-of care tool to inform clinicians and patients about TAD diagnosis, treatment, and surveillance. GMG is a REDCap-based app that combines publicly available genetic data and clinical recommendations based on the TAD guidelines into one translational education tool. TAD genetic information in GMG was sourced from the Montalcino Aortic Consortium, a worldwide collaboration of TAD centers of excellence, and the NIH genetic repositories ClinVar and ClinGen. The app streamlines data on the 13 most frequently mutated TAD genes with 2,286 unique pathogenic mutations that cause TAD so that users receive comprehensive recommendations for diagnostic testing, imaging, surveillance, medical therapy, preventative surgical repair, as well as guidance for exercise safety and management during pregnancy. The app output can be displayed in a clinician view or exported as an informative pamphlet in a patient-friendly format. The overall goal of the GMG app is to make genomic medicine more accessible to clinicians and patients, while serving as a unifying platform for research. We anticipate that these features will be catalysts for collaborative projects that aim to understand the spectrum of genetic variants that contribute to TAD.

Keywords: aortic dissection; decision support; genomic medicine; point-of-care; thoracic aortic aneurysm.

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Conflict of interest statement

Conflict of Interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1.
Figure 1.
GMG app workflows. Users may select from a list of curated variants or enter a new variant in one of 13 TAD genes. The app is available at https://go.uth.edu/GMG.
See this image and copyright information in PMC

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