Journal of Cardiovascular Translational ResearchGenetic & Genomic MedicinePeer-reviewed journal article
Age and Sex Differences in the Genetics of Cardiomyopathy
Oyediran AkinrinadeiD, Robert LesurfiD, John C. Ambrose, Prabhu ArumugamiD, Marta BledaiD, F. Boardman-PrettyiD, Christopher R. BoustrediD, Helen K. BrittainiD, Mark J. CaulfieldiD, G. C. ChaniD, Tom FowleriD, Adam P GiessiD, A. Hamblin, Shirley J. Henderson, Tim HubbardiD, Rob Jackson, L. J. Jones, Dalia KasperavičiūtėiD, Melis KayikciiD, Athanasios KousathanasiD, Lea Lahnstein, Sarah E. A. LeighiD, Ivonne U. S. Leong, F. J. Lopez, Fiona Maleady-Crowe, , Seema R. MitaliD
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Abstract
AimsCardiomyopathy is a clinically and genetically heterogeneous disorder with age and sex-related differences in severity and outcomes. The aim of our study was to identify age and sex-related differences in the genetic architecture of cardiomyopathy. Methods and ResultsWe analyzed whole genome sequence data from 471 pediatric and 926 adult cardiomyopathy patients from our Heart Centre Biobank and from the Genomics England cohort. Overall yield of rare deleterious coding variants was higher in pediatric compared to adult onset cardiomyopathy, but not different by sex. MYH7, TNNT2, MYL3, and VCL variants were more frequent in pediatric patients; TTN and OBSCN variants were more frequent in adult patients, with MYH7 (Odds ratio 3.6; CI 2.1-6.3) and OBSCN (Odds ratio 5.5, CI 2.0-21.4) remaining significant after adjusting for multiple testing. Variants in early-onset cardiomyopathy clustered in highly constrained coding regions compared to those in adult patients (p=3.9x10-3). There were also differences between pediatric and adult patients in variant location within MYH7 and TTN genes. When analyzed by sex, variants in female compared to male patients were in more highly constrained coding regions (p=0.002). ConclusionOur findings highlight under-appreciated genetic differences in early versus late onset cardiomyopathy. Variants in childhood cardiomyopathy and in female patients were in highly constrained coding regions of the genome suggesting greater deleterious effects and strong purifying selection in the general population. Knowledge of the affected gene, variant location within the gene, and variant constraint scores may be useful in predicting early versus late onset cardiomyopathy.
- organism: human
- assay: whole-genome sequencing
- research focus: differential expression
- research focus: variant effect prediction
- approach: statistical model
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