AuthorsMcGurk, Kathryn A.; email: K.McGurk@imperial.ac.uk
Watson, William D.
Nethononda, Richard M.
Cordell, Heather J.
Rider, Oliver J.
Keavney, Bernard D.; email: Bernard.Keavney@manchester.ac.uk
MetadataShow full item record
AbstractAbstract: Blood flow in the vasculature can be characterised by dimensionless numbers commonly used to define the level of instabilities in the flow, for example the Reynolds number, Re. Haemodynamics play a key role in cardiovascular disease (CVD) progression. Genetic studies have identified mechanosensitive genes with causal roles in CVD. Given that CVD is highly heritable and abnormal blood flow may increase risk, we investigated the heritability of fluid metrics in the ascending aorta calculated using patient-specific data from cardiac magnetic resonance (CMR) imaging. 341 participants from 108 British Caucasian families were phenotyped by CMR and genotyped for 557,124 SNPs. Flow metrics were derived from the CMR images to provide some local information about blood flow in the ascending aorta, based on maximum values at systole at a single location, denoted max, and a ‘peak mean’ value averaged over the area of the cross section, denoted pm. Heritability was estimated using pedigree-based (QTDT) and SNP-based (GCTA-GREML) methods. Estimates of Reynolds number based on spatially averaged local flow during systole showed substantial heritability (hPed2=41%[P=0.001], hSNP2=39%[P=0.002]), while the estimated heritability for Reynolds number calculated using the absolute local maximum velocity was not statistically significant (12–13%; P>0.05). Heritability estimates of the geometric quantities alone; e.g. aortic diameter (hPed2=29%[P=0.009], hSNP2=30%[P=0.010]), were also substantially heritable, as described previously. These findings indicate the potential for the discovery of genetic factors influencing haemodynamic traits in large-scale genotyped and phenotyped cohorts where local spatial averaging is used, rather than instantaneous values. Future Mendelian randomisation studies of aortic haemodynamic estimates, which are swift to derive in a clinical setting, will allow for the investigation of causality of abnormal blood flow in CVD.
CitationScientific Reports, volume 10, issue 1, page 14356
PublisherNature Publishing Group UK
DescriptionFrom Springer Nature via Jisc Publications Router
History: received 2020-03-23, accepted 2020-06-25, registration 2020-08-17, pub-electronic 2020-09-01, online 2020-09-01, collection 2020-12
Publication status: Published
Funder: Medical Research Council; doi: http://dx.doi.org/10.13039/501100000265; Grant(s): MR/K501311/1
Funder: Engineering and Physical Sciences Research Council; doi: http://dx.doi.org/10.13039/501100000266; Grant(s): EP/N509565/1
Funder: British Heart Foundation; doi: http://dx.doi.org/10.13039/501100000274; Grant(s): Personal Chair