Gene-Based Rare Variant Burden Analyses Across Biobanks Identify Novel High-Risk Genes for Thoracic Aortic Disease
Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Background Thoracic aortic aneurysms enlarge silently and can cause fatal aortic dissection without timely surgical repair, underscoring the need for improved approaches to identify individuals at high risk. Rare pathogenic variants in established heritable thoracic aortic disease (HTAD) genes explain only a subset of familial and fewer nonfamilial thoracic aortic disease (TAD) cases. Methods We performed phenotype-stratified, genome-wide, gene-based rare-variant burden analyses of ultrarare damaging missense and predicted loss-of-function variants. Primary analyses focused on aortic dissection, thoracic aortic aneurysm requiring surgical repair, and their combined phenotype. Broader thoracic aortic aneurysm (TAA) was evaluated as a secondary phenotype. Discovery analyses were conducted in the UK Biobank and All of Us, followed by independent replication in the Penn Medicine BioBank, Mass General Brigham Biobank, and Million Veteran Program. Discovery and replication results were subsequently combined in an overall fixed-effect, inverse-variance-weighted meta-analysis across up to five biobanks. Implicated genes were further evaluated in additional clinically ascertained TAD cohorts and using single-cell transcriptomic data from human thoracic aortic tissue. Results Discovery analyses identified 80 genes reaching study-wide significance across the prespecified TAD phenotypes. These included six established and two putative HTAD genes. Fourteen genes demonstrated independent replication support and reached study-wide significance in the overall meta-analysis across up to five biobanks, which included more than 10,000 cases and 880,000 controls. The eight novel candidate genes among these were FNDC3B, ROCK1, URM1, SLFN11, ENPP1, CLEC16A, CREM, and VCAN . Associations were strongest for dissection and TAA requiring surgical repair. Four novel associations were driven exclusively by missense variants. FNDC3B was observed in a family with HTAD, while additional variants were identified primarily in sporadic dissection or aortic surgery cohorts, suggesting that other genetic or physiologic factors may influence penetrance. The implicated genes showed cell-type-specific expression patterns in human thoracic aortic tissue. Conclusions These findings expand the genetic architecture of TAD by identifying eight novel candidate genes and demonstrate the utility of phenotype-stratified rare variant burden analyses across large biobanks for gene discovery.
Source: medRxiv
Authors: David R. Murdock, Pujun Guan, Dongchuan Guo, Francisca Bermudez, John S. DePaolo, John Cabot, Sumaiya Nazeen, Habib Nasir, Rajat M. Gupta, Alok Jha, John Elefteriades, Bobbi McGivern, Kirsty McWalter, Samantha K. Anderson, Carolyn Jones, Julie A. Lynch, Kyong-Mi Chang, Philip S. Tsao, VA Million Veteran Program, Penn Medicine BioBank, Scott M. Damrauer, Han Chen, Dianna M. Milewicz
Institutions: The University of Texas Health Science Center at Houston, University of Pennsylvania, Stanford Medicine, Stanford University, Broad Institute, Brigham and Women's Hospital, Harvard University, Weill Cornell Medicine, Yale New Haven Hospital, Yale University, Rush University Medical Center, University of Utah, VA Salt Lake City Healthcare System, Philadelphia VA Medical Center, VA Palo Alto Health Care System
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Funders: U.S. Department of Veterans Affairs, American Heart Association, Massachusetts General Hospital, Office of Research and Development, University of Pennsylvania, Health Services Research and Development, Georgia Clinical and Translational Science Alliance, University of Pennsylvania Health System, National Institutes of Health, Perelman School of Medicine, University of Pennsylvania, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Center for Advancing Translational Sciences
Awards: Genetic Predisposition To Thoracic Aortic Aneurysms/Dissections, University of Washington Mendelian Genomics Research Center (UW-MGRC), University of Washington (UW) Mendelian Genomics Data Coordinating Center, Institutional Clinical and Translational Science Award, Artificial Intelligence for Thoracic Aortic Disease Screening and Gene Discovery
OpenAlex ID: W7214049618
