Gene editing technology predicts heart disease risk

Scientists may now be able to use gene editing and stem cell technologies to predict whether carrying a specific gene variant increases a person’s risk of heart disease, according to a new study published in the American Heart Association's journal Circulation.

Image Credit: Yurchanka Siarhei / Shutterstock

This is the first time a study has demonstrated the potential of combining stem cell-based disease modeling with CRISPR/Cas 9-mediated genome editing, to determine the pathogenic ability of an undescribed genetic variant known of as “variant of uncertain significance” (VUS).

Many genetic variants are known to be related to medical conditions, but whether they actually lead to disease remains unknown.

Senior author Joseph Wu (Stanford University School of Medicine, California) says random genetic testing creates a lot of stress for healthy individuals who may be getting echocardiograms, MRIs or medications that they may not need.

The goal is to optimize the decision making of clinicians in their choices of therapy by providing a much clearer result for the 'variant of uncertain significance' carriers."

Joseph Wu, Senior Author

For the study, the researchers looked at genetic variants associated with hypertrophic cardiomyopathy; a common cause of sudden death in young people and athletes.

They took DNA from 54 symptom-free individuals without heart disease and sequenced it using a panel of 135 cardiomyopathy and congenital heart disease genes associated with sudden cardiac death.

The results revealed 592 unique genetic variants, of which 78% were classified as benign, likely benign or a VUS. However, 17 variants were classified as likely pathogenic.

One participant had family members who were carrying a variant in the gene MYL3, which is associated with hypertrophic cardiomyopathy.

The researchers collected that patient’s blood mononuclear cells and reprogrammed them to induce pluripotent stem cells.

They then edited the genome of the cells using CRISPR/Cas9 gene editing to engineer cells with the same genetics. Those engineered cells could then be analysed to determine whether MYL3 could cause disease.

This study combined two new powerful technologies, induced pluripotent stem cells and CRISPR-Cas9 gene editing, to model a patient's heart in a dish and to test whether those heart cells manifested signs of disease. This approach heralds a new era of in vitro disease modeling and drug testing as pivotal elements of precision medicine."

Joseph Hill, Editor of Circulation

Sally Robertson

Written by

Sally Robertson

Sally first developed an interest in medical communications when she took on the role of Journal Development Editor for BioMed Central (BMC), after having graduated with a degree in biomedical science from Greenwich University.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Robertson, Sally. (2019, June 20). Gene editing technology predicts heart disease risk. News-Medical. Retrieved on December 20, 2024 from https://www.news-medical.net/news/20180618/Gene-editing-technology-predicts-heart-disease-risk.aspx.

  • MLA

    Robertson, Sally. "Gene editing technology predicts heart disease risk". News-Medical. 20 December 2024. <https://www.news-medical.net/news/20180618/Gene-editing-technology-predicts-heart-disease-risk.aspx>.

  • Chicago

    Robertson, Sally. "Gene editing technology predicts heart disease risk". News-Medical. https://www.news-medical.net/news/20180618/Gene-editing-technology-predicts-heart-disease-risk.aspx. (accessed December 20, 2024).

  • Harvard

    Robertson, Sally. 2019. Gene editing technology predicts heart disease risk. News-Medical, viewed 20 December 2024, https://www.news-medical.net/news/20180618/Gene-editing-technology-predicts-heart-disease-risk.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.