The genetic component of bicuspid aortic valve and aortic dilation. An exome-wide association study

Marina Gago-Díaz, María Brion, Pastora Gallego, Francisco Calvo, Juan Robledo-Carmona, Daniel Saura, Violeta Sánchez, Javier Bermejo, Teresa Sevilla, Christopher Newton-Cheh, Angel Carracedo, J. Daniel Muehlschlegel, David García-Dorado, Simon C. Body, Artur Evangelista

doi:10.1016/j.yjmcc.2016.11.012 YJMCC 8490

Background

Bicuspid aortic valve is the most common cardiovascular congenital malformation affecting 2% of the general population. The incidence of life-threatening complications, the high heritability, and familial clustering rates support the interest in identifying risk or protective genetic factors. The main objective of the present study was to identify population-based genetic variation associated with bicuspid aortic valve and concomitant ascending aortic dilation.

Materials and methods

A cross-sectional exome-wide association study was conducted in 565 Spanish cases and 484 controls. Single-marker and gene-based association analyses enriched for low frequency and rare genetic variants were performed on this discovery stage cohort and for the subsets of cases with and without ascending aortic dilation. Discovery-stage association signals and additional markers indirectly associated with bicuspid aortic valve, were genotyped in a replication cohort that comprised 895 Caucasian cases and 1483 controls.

Results

Although none of the association signals were consistent across series, the involvement of HMCN2 in calcium metabolism and valve degeneration caused by calcium deposit and a nominal but not genome-wide significant association, supported it as an interesting gene for follow-up studies on the genetic susceptibility to bicuspid aortic valve.

Conclusions

The absence of a genome-wide significant association signal shows this valvular malformation may be more genetically complex than previously believed. Exhaustive phenotypic characterization, even larger datasets, and collaborative efforts are needed to detect the combination of rare variants conferring risk which, along with specific environmental factors, could be causing the development of this disease.