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Structural and Non-Coding Variants Increase the Diagnostic Yield of Clinical Whole Genome Sequencing for Rare Diseases

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NIAID Data Ecosystem2026-05-01 收录
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https://www.omicsdi.org/dataset/ega/EGAS00001007575
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Although whole genome sequencing is increasingly used for the diagnosis of patients with rare disease, diagnostic yields often disappointingly low. We undertook WGS on a cohort of 122 unrelated RD patients and applied a bioinformatics pipeline that would allow an in-depth interrogation of the genome to provide a comprehensive analysis of all variant types. Our results demonstrate that structural, splice-site and intronic variants make a substantial contribution to diagnostic yield and therefore that comprehensive analysis of the entire genome is essential to maximise the value of clinical WGS.EGA study EGAS00001007575
创建时间:
2023-09-15
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