In a new study co-led by investigators at the United States Department of Veterans Affairs and Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, a global team of scientists conducted one of the largest genetic association studies on heart failure to date.
Using genomic data from over 90,000 heart failure patients and more than a million controls, the team identified 39 genetic mutations associated with heart failure, 18 of which had not been reported previously.
The researchers also pinpointed seven druggable proteins that, when targeted with specially designed medications, may prevent heart failure’s onset.
They say their overall findings, published in Nature Communications, could one day help physicians identify and treat at-risk patients before heart failure occurs.
Heart failure affects over 60 million people worldwide and 6 million people in the United States, costing the American healthcare system over 30 billion dollars every year. Patients diagnosed with heart failure have an estimated five-year survival rate of 50%, which has pressed scientists to better understand the environmental and genetic risk factors associated with heart failure.
Although several studies in the past decade have used advanced computing techniques to identify genetic risk factors for heart failure, scientists have wondered if their limited sample sizes have allowed some unidentified mutations to slip through the cracks.
Genome-Wide Association Studies (GWAS), which look for differences in the DNA of patients with diseases and healthy controls, are only as comprehensive as the datasets they’re built on. GWAS with larger sample sizes have more statistical power, meaning they’re able to find mutations that smaller-cohort studies may miss.
The team built their large cohort by gathering genomes from two established genomic research programs. The Million Veteran Program (MVP), a national effort launched in 2011 to examine the long-term health outcomes of United States Veterans, provided 302,287 genomes for the study. Heart failure is a particular concern for veterans, with some studies showing that they may be at a higher risk of developing heart disease. To date, over 950,000 veterans have enrolled in MVP.
The remaining 977,323 genomes were pulled from the Heart Failure Molecular Epidemiology for Therapeutic Targets (HERMES) consortium, which includes data from patients across several European countries. In total, the team analyzed 1,279,610 genome samples, 90,653 of which belonged to patients with heart failure.
Investigators then conducted a technique called Mendelian randomization, which computationally simulates how certain interventions may affect disease outcomes.
The team says that their findings, coupled with future analyses to better understand the genetic determinants of heart failure, could one day empower physicians to predict whether a patient’s unique genetic profile puts them at higher odds of developing heart failure during their lifetime. Drugmakers could also use the team’s research to narrow down which proteins they should target in order to build drugs that minimize the risk of developing heart failure.
Danielle Rasooly, Gina M. Peloso, Alexandre C. Pereira, Hesam Dashti, Claudia Giambartolomei, Eleanor Wheeler, Nay Aung, Brian R. Ferolito, Maik Pietzner, Eric H. Farber-Eger, Quinn Stanton Wells, Nicole M. Kosik, Liam Gaziano, Daniel C. Posner, A. Patrícia Bento, Qin Hui, Chang Liu, Krishna Aragam, Zeyuan Wang, Brian Charest, Jennifer E. Huffman, Peter W. F. Wilson, Lawrence S. Phillips, John Whittaker, Patricia B. Munroe, Steffen E. Petersen, Kelly Cho, Andrew R. Leach, María Paula Magariños, John Michael Gaziano, Claudia Langenberg, Yan V. Sun, Jacob Joseph, Juan P. Casas. Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure. Nature Communications, 2023; 14 (1) DOI: 10.1038/s41467-023-39253-3
Brigham and Women’s Hospital. (2023, August 24). Study uncovers genetic risk factors for heart failure. ScienceDaily. Retrieved August 25, 2023 from www.sciencedaily.com/releases/2023/08/230824120201.htm