Andreas Martinsson, Xinjun Li, Bengt Zöller, Pontus Andell, Charlotte Andersson, Kristina Sundquist, J Gustav Smith
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引用次数: 20
Abstract
Background: Aortic valvular stenosis (AS) is the most common cause of cardiac valvular replacement surgery. During the last century, the pathogenesis of AS has undergone transitions in developed countries, from rheumatic heart disease to a degenerative calcific pathogenesis. Although a familial component has been described for a subset of cases with a bicuspid valve, data are limited on the overall familial aggregation of this disease.
Methods and results: Contemporary information on 6 117 263 Swedish siblings, of which 13 442 had a clinical diagnosis of AS, was collected from the nationwide Swedish Multi-Generation Register and the National Patient Register. A total of 4.8% of AS cases had a sibling history of AS. Having at least 1 sibling with AS was associated with a hazard ratio of 3.41 (95% confidence interval, 2.23-5.21) to be diagnosed with AS in an adjusted model. Individuals with >1 sibling with AS had an exceptionally high risk (hazard ratio, 32.84) but were uncommon (34 siblings from 11 sibships). In contrast, spouses of subjects with AS were only slightly more likely to be diagnosed with AS compared with subjects without spousal AS (hazard ratio 1.16 for husbands and 1.18 for wives).
Conclusions: A sibling history of clinically diagnosed AS was associated with increased risk of AS. Spouses of patients with AS only had a modest risk increase, suggesting that shared adult environmental factors contribute less to the development of AS than genetic factors.
期刊介绍:
Circulation: Genomic and Precision Medicine considers all types of original research articles, including studies conducted in human subjects, laboratory animals, in vitro, and in silico. Articles may include investigations of: clinical genetics as applied to the diagnosis and management of monogenic or oligogenic cardiovascular disorders; the molecular basis of complex cardiovascular disorders, including genome-wide association studies, exome and genome sequencing-based association studies, coding variant association studies, genetic linkage studies, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics; integration of electronic health record data or patient-generated data with any of the aforementioned approaches, including phenome-wide association studies, or with environmental or lifestyle factors; pharmacogenomics; regulation of gene expression; gene therapy and therapeutic genomic editing; systems biology approaches to the diagnosis and management of cardiovascular disorders; novel methods to perform any of the aforementioned studies; and novel applications of precision medicine. Above all, we seek studies with relevance to human cardiovascular biology and disease.