Associated Papers
Cardiomyopathy genetic testing: insights into demographics, counseling, and cascade screening.
Bui QM et al.
Future Cardiology, 2025
40200748 (PubMed )
Supplement: IFCA_A_2484128_SM1099.xlsx › Sheet1
The penetrance of rare variants in cardiomyopathy-associated genes: A cross-sectional approach to estimating penetrance for secondary findings.
McGurk KA et al.
American Journal of Human Genetics, 2023
37652022 (PubMed )
Supplement: mmc3.xlsx › Table_S8
Signal-to-Noise Analysis Can Inform the Likelihood That Incidentally Identified Variants in Sarcomeric Genes Are Associated with Pediatric Cardiomyopathy.
Kurzlechner LM et al.
Journal of Personalized Medicine, 2022
35629155 (PubMed )
Supplement: jpm-12-00733-s001.zip › HCM_ES_Variants_Manuscript__Supplemental_Table_S1.xlsx › MYBPC3
Computational prediction of protein subdomain stability in MYBPC3 enables clinical risk stratification in hypertrophic cardiomyopathy and enhances variant interpretation.
Thompson AD et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2021
33782553 (PubMed )
Supplement: NIHMS1689970-supplement-Table_S1.xlsx › Sheet1
Reevaluating the Genetic Contribution of Monogenic Dilated Cardiomyopathy.
Mazzarotto F et al.
Circulation, 2020
31983221 (PubMed )
Supplement: cir-141-387-s002.xlsx › Table_S6
Targeted Next Generation Sequencing for Genetic Mutations of Dilated Cardiomyopathy.
Yeh JK et al.
Acta Cardiologica Sinica, 2019
Reassessment of Mendelian gene pathogenicity using 7,855 cardiomyopathy cases and 60,706 reference samples.
Walsh R et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2017
27532257 (PubMed )
Supplement: gim201690x1.zip › Supplementary_Tables_resubmit.xlsx › Table_S1B
Utility of next generation sequencing in genetic diagnosis of early onset neuromuscular disorders.
Chae JH et al.
Journal of Medical Genetics, 2015
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