Study solves mystery of genetic-test results for patient with suspected heart condition

Stanford researchers used genetic-editing tools and stem cell technology to uncover whether a genetic mutation linked to a heart rhythm disorder was benign or pathogenic.

- By Tracie White

Joseph Wu and his colleagues have used a method of using stem cells and genetic-editing tools to determine whether a particular genetic mutation could contribute to a heart condition.
Steve Fisch

Although DNA testing is becoming increasingly quick, cheap and easy to perform, the results are sometimes ambiguous: Gene mutations called “variants of uncertain significance” can create uncertainty about a patient’s risk for a disease.

“This is a really big problem,” said Joseph Wu, MD, PhD, professor of cardiovascular medicine and of radiology at the Stanford University School of Medicine. “If someone tells me I have a genetic variant that could cause sudden cardiac death, I’m going to be very scared. The result could be a lifetime of unnecessary worry for a patient when, in fact, the variant may be completely benign.”

Now, Wu and a team of researchers have developed a technique that could shed light on the significance of such variants. In a new paper, they discuss how they used advanced genetic-editing tools and stem cell technology to determine whether a 39-year-old patient with one of these mysterious mutations was at increased risk for a heart-rhythm condition called long QT syndrome, which can cause erratic heartbeats, fainting and sudden cardiac death.

“This is one of the first cases of using stem cells and genomics for precision cardiovascular medicine,” said Wu, who is also the Simon H. Stertzer, MD, Professor and director of Stanford’s Cardiovascular Institute.

The paper was published June 26 in the Journal of the American College of Cardiology. Wu is the senior author, and Stanford postdoctoral scholar Priyanka Garg, PhD, is the lead author.

Heart palpitations and lightheadedness

The patient, who had a history of heart palpitations and lightheadedness, contacted a doctor worried about these symptoms. His family history showed he had a cousin who died of a heart attack playing soccer, a brother with a history of fainting and a grandfather who had four brothers die suddenly before the age of 40.  A doctor ordered several electrocardiograms to test his heart function.

The results of those tests were cause for concern and, although ultimately inconclusive, his doctor chose to be cautious and prescribed the patient beta-blockers, a medication often used to treat mild cases of long QT syndrome. Genetic tests were inconclusive, as well, but showed the patient had a variant of uncertain significance on the KCNH2 gene. This was worrisome because several other mutations on this gene are known to cause long QT syndrome type 2, one of the most common types of the disorder.

The patient was referred to Wu and his colleagues, who set out to determine whether the variant was pathogenic or benign.

Their first step was to generate induced pluripotent stem cells — or iPS cells, which can develop into any type of cell — from cells obtained from the patient’s blood. The iPS cells were differentiated into cardiomyocytes, or heart cells that actually beat spontaneously in the culture dish like a heart. They had the exact genetic makeup of the patient, including the variant of the KCNH2 gene.

You can generate a patient’s heart cells in a dish and study them just from a simple blood sample.

These kinds of cells, which are grown in the lab, are what researchers refer to as a “disease in a dish” or a “patient in a dish.” They can be used for a variety of tests, including many that may not be feasible to conduct on patients themselves. The researchers also developed heart cells from a healthy patient for comparison.

“An advantage of generating patient-specific iPS heart cells is that you don’t have to use any invasive procedures on the patient to get them,” Garg said. “You can generate a patient’s heart cells in a dish and study them just from a simple blood sample.”

The researchers used a gene-editing tool known as CRISPR to correct the mutation, a faulty nucleotide in the KCNH2 gene, and also to introduce the same faulty nucleotide into the healthy control gene.

Tests of the heart cells with the mutation showed the hallmark features of long QT syndrome, including electrical disturbances that delay heartbeats and a mild propensity for arrhythmias compared with the cells from the healthy patient, the study said. These results did not show up in tests on the cells in which the mutation was turned off or in unaltered cells from the healthy patient.

The results confirmed that the patient did have a mild case of long QT syndrome, the study said.

In another study published recently in Circulation and also led by Wu, the researchers used the same genetic-editing tools and stem cell technology to determine that a variation of uncertain significance, which doctors worried could have been an indication of a dangerous heart condition known as hypertrophic cardiomyopathy, was actually benign.

“We were able tell the patient not to worry about it,” Wu said.

The success of using these same methods to determine whether two different patients were at risk for two completely different diseases suggests that this platform is a promising risk-assessment tool for variants of uncertain significance in general, Wu said. “The results of these studies are particularly exciting to me because we used precision health methods to address an unmet need for a patient,” he said. “This means we now have the ability to go deeper and tell a patient what a variant of uncertain significance means.”

The work is an example of Stanford Medicine’s focus on precision health, the goal of which is to anticipate and prevent disease in the healthy and precisely diagnose and treat disease in the ill.

The study’s other Stanford authors are instructors Angelos Oikonomopoulos, PhD, and Yingxin Li, PhD; former postdoctoral scholar Haodong Chen, PhD; postdoctoral scholar Chi Keung Lam, PhD; Karim Sallam, MD, clinical assistant professor of cardiovascular medicine; and Marco Perez, MD, assistant professor of cardiovascular medicine.

Researchers from the University of Utah also contributed to the study.

The research was funded by grants from the National Institutes of Health (grants T32EB009035, R01HL113006, R01HL141371, R01HL128170 and R01HL130020) and the American Heart Association.

Stanford’s Department of Medicine also supported the work.

About Stanford Medicine

Stanford Medicine is an integrated academic health system comprising the Stanford School of Medicine and adult and pediatric health care delivery systems. Together, they harness the full potential of biomedicine through collaborative research, education and clinical care for patients. For more information, please visit med.stanford.edu.

2023 ISSUE 3

Exploring ways AI is applied to health care