Benjamin Landis, MD
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Biography
Benjamin Landis, MD is a pediatric cardiologist and physician-scientist whose interests focus on aortic disease (aortopathy) and congenital heart defects. He joined the Yale faculty in 2025 with over 10 years of clinical experience as an aortopathy subspecialist. His research grew from past training in mechanical engineering, bioinformatics, and cardiovascular genetics, and is inspired by the patients he cares for. The work leverages new technologies to analyze human structures, tissues, and cells, including methods for deep molecular profiling and advanced echocardiography analysis. Current projects include patients with aortopathy, such as thoracic aortic aneurysm or their associated genetic conditions, and children with coarctation of the aorta. The overall goal is to advance our understanding of these disease processes and apply this knowledge to develop more precise strategies and treatments that will help patients lead longer and healthier lives.
Appointments
Pediatric Cardiology
Associate Professor on TermPrimary
Other Departments & Organizations
- Pediatric Cardiology
- Pediatrics
- Vascular Biology and Therapeutics Program
- Yale Medicine
- Yale New Haven Health System
Education & Training
- Cardiovascular Genetics Fellowship
- Cincinnati Children's Hospital Medical Center (2015)
- Pediatric Cardiology Fellowship
- Cincinnati Children's Hospital Medical Center (2014)
- Pediatrics Residency
- Columbia University Medical Center (2011)
- MD
- Vanderbilt University, Medicine (2008)
- BS
- Georgia Institute of Technology, Mechanical Engineering
Research
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Overview
Medical Research Interests
ORCID
0000-0001-5837-8581
Research at a Glance
Publications Timeline
Research Interests
Heart Defects, Congenital
Marfan Syndrome
Bicuspid Aortic Valve Disease
Genomics
Loeys-Dietz Syndrome
Echocardiography
Publications
2026
Systematic Cardiac Phenotyping of Patients With Copy Number Variants in the 15q11.2 Breakpoint 1 to Breakpoint 2 Region: A Retrospective Cohort Study From Nine Pediatric Cardiac Centers
Wright M, Padua M, Helvaty L, McBride K, Geddes G, Garg V, Lalani S, Wechsler S, Hodge J, Landis B, Ware S. Systematic Cardiac Phenotyping of Patients With Copy Number Variants in the 15q11.2 Breakpoint 1 to Breakpoint 2 Region: A Retrospective Cohort Study From Nine Pediatric Cardiac Centers. American Journal Of Medical Genetics Part A 2026 PMID: 42609094, DOI: 10.1002/ajmg.a.70273.Peer-Reviewed Original ResearchBody Region Dysmorphology Is Predictive of Genetic Diagnoses in Infants With Congenital Heart Disease
Helm B, Wetherill L, Landis B, Ware S. Body Region Dysmorphology Is Predictive of Genetic Diagnoses in Infants With Congenital Heart Disease. Molecular Genetics & Genomic Medicine 2026, 14: e70260. PMID: 42394256, PMCID: PMC13329115, DOI: 10.1002/mgg3.70260.Peer-Reviewed Original ResearchAltmetricRapid Genome Sequencing Shows Diagnostic Utility in Infants With Congenital Heart Defects
Durbin M, Helvaty L, Posorske A, Zhang S, Huang M, Li M, Abreu D, Fairman K, Geddes G, Helm B, Landis B, McEntire A, Mitchell D, Ware S. Rapid Genome Sequencing Shows Diagnostic Utility in Infants With Congenital Heart Defects. Circulation Genomic And Precision Medicine 2026, 19: e005367. PMID: 41958385, PMCID: PMC13393139, DOI: 10.1161/circgen.125.005367.Peer-Reviewed Original ResearchCitations
2025
Combined genome and transcriptome analysis identifies molecular signatures of aortic disease in patients with Marfan syndrome
Stanley K, Mederos A, Barksdale E, Corvera J, Davis J, Fang F, Gao H, Vujakovich C, Liu Y, Ware S, Landis B. Combined genome and transcriptome analysis identifies molecular signatures of aortic disease in patients with Marfan syndrome. Journal Of Molecular And Cellular Cardiology Plus 2025, 13: 100467. PMID: 40678173, PMCID: PMC12269431, DOI: 10.1016/j.jmccpl.2025.100467.Peer-Reviewed Original ResearchDysmorphology-Based Prediction Model for Genetic Disorders in Infants With Congenital Heart Disease
Helm B, Wetherill L, Landis B, Ware S. Dysmorphology-Based Prediction Model for Genetic Disorders in Infants With Congenital Heart Disease. Circulation Genomic And Precision Medicine 2025, 18: e004895. PMID: 40151936, PMCID: PMC11999770, DOI: 10.1161/circgen.124.004895.Peer-Reviewed Original ResearchCitationsAltmetricIdentification of Long Noncoding RNA Candidate Disease Genes Associated With Clinically Reported Copy Number Variants in Congenital Heart Disease
Penaloza J, Moreland B, Gaither J, Landis B, Ware S, McBride K, White P, Helvaty L, Geddes G, Hodge J, Garg V, Lo C, Yatsenko S, Lin J, Wechsler S, Lalani S. Identification of Long Noncoding RNA Candidate Disease Genes Associated With Clinically Reported Copy Number Variants in Congenital Heart Disease. Journal Of The American Heart Association 2025, 14: e039177. PMID: 40079339, PMCID: PMC12132622, DOI: 10.1161/jaha.124.039177.Peer-Reviewed Original ResearchCitationsAltmetric
2024
Performance of Dysmorphology‐Based Screening for Genetic Disorders in Pediatric Congenital Heart Disease Supports Wider Genetic Testing
Helm B, Helvaty L, Conboy E, Geddes G, Graham B, Lah M, Wetherill L, Landis B, Ware S. Performance of Dysmorphology‐Based Screening for Genetic Disorders in Pediatric Congenital Heart Disease Supports Wider Genetic Testing. Molecular Genetics & Genomic Medicine 2024, 12: e70040. PMID: 39587733, PMCID: PMC11588853, DOI: 10.1002/mgg3.70040.Peer-Reviewed Original ResearchCitationsAltmetricA Novel Echocardiography Feature-Tracking Algorithm for Stabilized Frame-to-Frame Extraction of Aortic Root Diameters in the Parasternal Long Axis
Damen F, Ghajar-Rahimi E, Lai D, Goergen C, Landis B. A Novel Echocardiography Feature-Tracking Algorithm for Stabilized Frame-to-Frame Extraction of Aortic Root Diameters in the Parasternal Long Axis. Journal Of The American Society Of Echocardiography 2024, 38: 44-47. PMID: 39299353, PMCID: PMC11700755, DOI: 10.1016/j.echo.2024.09.005.Peer-Reviewed Original ResearchAltmetricEarly ascertainment of genetic diagnoses clarifies impact on medium-term survival following neonatal congenital heart surgery
Landis B, Helm B, Durbin M, Helvaty L, Herrmann J, Johansen M, Geddes G, Ware S. Early ascertainment of genetic diagnoses clarifies impact on medium-term survival following neonatal congenital heart surgery. Journal Of Clinical Investigation 2024, 134: e180098. PMID: 39078715, PMCID: PMC11405028, DOI: 10.1172/jci180098.Peer-Reviewed Original ResearchCitationsAltmetricSilencing COQ8B in Aortic Smooth Muscle Cells Reveals Cellular Dysfunction Related to Changes in Cell Proliferation
Davis J, Landis B. Silencing COQ8B in Aortic Smooth Muscle Cells Reveals Cellular Dysfunction Related to Changes in Cell Proliferation. Proceedings Of IMPRS 2024, 6 DOI: 10.18060/27779.Peer-Reviewed Original Research
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