| Literature DB >> 35637384 |
Catherine Tcheandjieu1,2,3, Ke Xiao4, Helio Tejeda1, Julie A Lynch5,6, Sanni Ruotsalainen7, Tiffany Bellomo8,9,10, Madhuri Palnati11, Renae Judy8,9, Derek Klarin12,13, Rachel L Kember8,14, Shefali Verma15, Aarno Palotie7, Mark Daly7, Marylyn Ritchie15, Daniel J Rader8,15, Manuel A Rivas16, Themistocles Assimes2,3, Philip Tsao2,3, Scott Damrauer8,10, James R Priest17,18,19.
Abstract
Enlargement of the aorta is an important risk factor for aortic aneurysm and dissection, a leading cause of morbidity in the developed world. Here we performed automated extraction of ascending aortic diameter from cardiac magnetic resonance images of 36,021 individuals from the UK Biobank, followed by genome-wide association. We identified lead variants across 41 loci, including genes related to cardiovascular development (HAND2, TBX20) and Mendelian forms of thoracic aortic disease (ELN, FBN1). A polygenic score significantly predicted prevalent risk of thoracic aortic aneurysm and the need for surgical intervention for patients with thoracic aneurysm across multiple ancestries within the UK Biobank, FinnGen, the Penn Medicine Biobank and the Million Veterans Program (MVP). Additionally, we highlight the primary causal role of blood pressure in reducing aortic dilation using Mendelian randomization. Overall, our findings provide a roadmap for using genetic determinants of human anatomy to understand cardiovascular development while improving prediction of diseases of the thoracic aorta.Entities:
Mesh:
Year: 2022 PMID: 35637384 DOI: 10.1038/s41588-022-01070-7
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 41.307