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Using whole genome sequence findings to assess gene-disease causality in cardiomyopathy and arrhythmia patients supplementary material

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NIAID Data Ecosystem2026-05-01 收录
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https://figshare.com/articles/dataset/Using_whole_genome_sequence_findings_to_assess_gene-disease_causality_in_cardiomyopathy_and_arrhythmia_patients_supplementary_material/24305707
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Aim: The genetic etiologies of cardiomyopathies and arrhythmias have not been fully elucidated. Materials & methods: Research findings from genome analyses in a cardiomyopathy and arrhythmia cohort were gathered. Gene-disease relationships from two databases were compared with patient phenotypes. A literature review was conducted for genes with limited evidence. Results: Of 43 genes with candidate findings from 18 cases, 23.3% of genes had never been curated, 15.0% were curated for cardiomyopathies, 16.7% for arrhythmias and 31.3% for other conditions. 25.5% of candidate findings were curated for the patient’s specific phenotypewith 11.8% having definitive evidence. MYH6 and TPCN1 were flagged for recuration. Conclusion: Findings from genome sequencing in disease cohorts may be useful to guide gene-curation efforts.
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2023-10-13
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