Rare Genetic Variants Associated with Sudden Cardiac Death
|
By LabMedica International staff writers Posted on 04 Dec 2019 |

Image: Gene Sequencing identifies pathogenic variants in sudden cardiac death versus controls and asymptomatic adults (Photo courtesy of Massachusetts General Hospital)
A recent study has assessed the prevalence of rare pathogenic variants in sudden cardiac death cases versus controls, and the prevalence and clinical importance of such mutations in an asymptomatic adult population.
Sudden cardiac death occurs in around 220,000 adults in the USA annually, the majority of whom have no prior symptoms or cardiovascular diagnosis. Rare pathogenic DNA variants in any of 49 genes can pre-dispose to four important causes of sudden cardiac death: cardiomyopathy, coronary artery disease, inherited arrhythmia syndrome, and aortopathy or aortic dissection.
A large team of scientists working with the Massachusetts General Hospital (Boston, MA, USA) performed whole-exome sequencing in a case-control cohort of 600 adult-onset sudden cardiac death cases and 600 matched controls from 106,098 participants of six prospective cohort studies. Observed DNA sequence variants in any of 49 genes with known association to cardiovascular disease were classified as pathogenic or likely pathogenic by a clinical laboratory geneticist blinded to case status. In an independent population of 4,525 asymptomatic adult participants of a prospective cohort study, the team performed whole-genome sequencing and determined the prevalence of pathogenic or likely pathogenic variants and prospective association with cardiovascular death.
The scientists reported that among the 1,200 sudden cardiac death cases and controls, they identified 5,178 genetic variants and classified 14 as pathogenic or likely pathogenic. These 14 variants were present in 15 individuals, all of whom had experienced sudden cardiac death, corresponding to a pathogenic variant prevalence of 2.5% in cases and 0% in controls. Among the 4,525 participants of the prospective cohort study, 41 (0.9%) carried a pathogenic or likely pathogenic variant and these individuals had 3.24-fold higher risk of cardiovascular death over a median follow-up of 14.3 years.
Amit V. Khera, MD, MSc, an associate director of the Precision Medicine Unit, said, “This really lays the groundwork to say these are important mutations, and what's exciting is if we can identify them, we have treatments for the conditions to which they are tied. We know each of these diseases tends to run in families and there are genetic variants that cause each of these conditions”.
The authors concluded that gene sequencing identifies a pathogenic or likely pathogenic variant in a small but potentially important subset of adults experiencing sudden cardiac death; these variants are present in ∼1% of asymptomatic adults. The study was published on November 18, 2019 in the Journal of the American College of Cardiology.
Related Links:
Massachusetts General Hospital
Sudden cardiac death occurs in around 220,000 adults in the USA annually, the majority of whom have no prior symptoms or cardiovascular diagnosis. Rare pathogenic DNA variants in any of 49 genes can pre-dispose to four important causes of sudden cardiac death: cardiomyopathy, coronary artery disease, inherited arrhythmia syndrome, and aortopathy or aortic dissection.
A large team of scientists working with the Massachusetts General Hospital (Boston, MA, USA) performed whole-exome sequencing in a case-control cohort of 600 adult-onset sudden cardiac death cases and 600 matched controls from 106,098 participants of six prospective cohort studies. Observed DNA sequence variants in any of 49 genes with known association to cardiovascular disease were classified as pathogenic or likely pathogenic by a clinical laboratory geneticist blinded to case status. In an independent population of 4,525 asymptomatic adult participants of a prospective cohort study, the team performed whole-genome sequencing and determined the prevalence of pathogenic or likely pathogenic variants and prospective association with cardiovascular death.
The scientists reported that among the 1,200 sudden cardiac death cases and controls, they identified 5,178 genetic variants and classified 14 as pathogenic or likely pathogenic. These 14 variants were present in 15 individuals, all of whom had experienced sudden cardiac death, corresponding to a pathogenic variant prevalence of 2.5% in cases and 0% in controls. Among the 4,525 participants of the prospective cohort study, 41 (0.9%) carried a pathogenic or likely pathogenic variant and these individuals had 3.24-fold higher risk of cardiovascular death over a median follow-up of 14.3 years.
Amit V. Khera, MD, MSc, an associate director of the Precision Medicine Unit, said, “This really lays the groundwork to say these are important mutations, and what's exciting is if we can identify them, we have treatments for the conditions to which they are tied. We know each of these diseases tends to run in families and there are genetic variants that cause each of these conditions”.
The authors concluded that gene sequencing identifies a pathogenic or likely pathogenic variant in a small but potentially important subset of adults experiencing sudden cardiac death; these variants are present in ∼1% of asymptomatic adults. The study was published on November 18, 2019 in the Journal of the American College of Cardiology.
Related Links:
Massachusetts General Hospital
Latest Pathology News
- AI Pathology Tool Predicts Immunotherapy Response in Rare Cancers
- Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
- Study Highlights Biomarker Testing Delays in Lung Cancer Care
- Stain-Free Imaging Platform Matches Standard Cancer Pathology
- New Companion Diagnostic Expands Precision Medicine in Prostate Cancer
- Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer
- AI Tool Speeds Brain Tumor Classification from Routine Histology Slides
- IHC Companion Diagnostic Standardizes Mismatch Repair Testing for Cancer Immunotherapy
- AI Pathology Tool Predicts Meningioma Recurrence from Routine Slides
- 3D Spatial Multi-Omics Maps Intra-Tumor Diversity in Colorectal Cancer
- Blood-Based Method Tracks Gene Activity in the Living Brain
- FDA Approval Expands Automated PD-L1 Testing Across Solid Tumors
- AI-Powered Atlas Maps Immune Structures Linked to Cancer Outcomes
- AI Tool Extracts Immune Signals from Biopsy to Inform Myeloma Therapy
- Rapid AI Tool Predicts Cancer Spatial Gene Expression from Pathology Images
- AI Pathology Test Receives FDA Breakthrough for Bladder Cancer Risk Stratification
Channels
Clinical Chemistry
view channel
FDA-Approved Test Identifies Low Risk of Large Esophageal Varices in Cirrhosis
Chronic liver disease contributes substantially to mortality, and clinicians routinely screen adults with compensated cirrhosis for varices to prevent bleeding. However, endoscopy is invasive and reso... Read more
Blood Protein Signature Diagnoses Pediatric IBD and Distinguishes Subtypes
Confirming pediatric inflammatory bowel disease (IBD) often requires imaging, endoscopy, and histopathology, prolonging time to diagnosis. Reliable, noninvasive blood tests remain an unmet need in routine... Read moreMolecular Diagnostics
view channel
Blood-Based RNA Biomarker Improves Prediction of Alzheimer’s Onset
Timely identification of patients approaching symptomatic Alzheimer’s disease (AD) remains a major clinical challenge, even as blood-based biomarkers continue to advance. Current assays are highly effective... Read more
Multiplex PCR Test Identifies Seven STI Pathogens in One Hour
Sexually transmitted infections (STIs) continue to rise, increasing demand for rapid, accurate detection of multiple pathogens across varied sample types. To support flexible, standardized testing, a new... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channel
Anti-Lipid Antibody Biomarkers May Identify Early Lyme Disease and Persistent Symptoms
Lyme disease is often missed during its earliest and most treatable stage, while current serologic assays cannot distinguish active infection from prior exposure. Nearly half a million Americans are diagnosed... Read more
Emergency Department Opt-Out Testing Program Identifies Undiagnosed HIV
Undiagnosed HIV continues to drive avoidable morbidity and transmission, with many people identified only after substantial immune damage has occurred. In England, about one in 20 people living with HIV... Read more
Immune Biomarkers Could Identify Risk of Chronic Critical Illness on ICU Admission
Severe traumatic injury can trigger immune and organ dysfunction that complicates recovery in the intensive care unit. A subset of patients develop chronic critical illness, defined as dependence on intensive... Read moreMicrobiology
view channel
H. pylori Screening Within Colorectal Program Aids Gastric Cancer Prevention
Health systems increasingly rely on economic evidence to guide cancer prevention strategies. For gastric cancer, selecting screening approaches that can integrate with existing programs is a key policy question.... Read more
Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer
Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read moreTechnology
view channel
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel
Partnership Integrates Automated DNA Extraction with Single-Molecule Digital PCR
Countable Labs (Palo Alto, CA, USA) and Promega (Madison, WI, USA) have entered a co-marketing agreement that integrates the Promega Maxwell System for nucleic acid extraction with Countable Labs’ Countable... Read more




.jpg)



