P567: Evaluating dosage sensitivity predictors for clinical copy number variant classification*

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Authors: Saleh Sereshki, Vikas Rao Pejaver, John C. Herriges, Erica Anderson, Anne W. Higgins, Sung-Hae (Sue) Kang, Brynn Levy, Ludmila Matyakhina, Dominic McMullan, Daniel E. Pineda-Alvarez, Lina Shao, Shashirekha Shetty
+5 more Andrea K. Vaags, Erik C. Thorland, Christa Martin, Erin Rooney Riggs, Chelsea Lowther
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Abstract

In 2020, the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen) released a joint consensus statement outlining a semi-quantitative, points-based framework for clinical copy number variant (CNV) classification. These guidelines formalized how diverse evidence types (eg, CNV genomic content, functional impact, population frequency data, etc) could be weighted and combined to standardize CNV classification across laboratories. The framework suggested incorporating computational (in silico) predictors of gene dosage sensitivity when a CNV does not overlap any gene or region previously established as dosage sensitive or insensitive.

Fields of Study & Subjects

Genomics and Rare Diseases Genomic variations and chromosomal abnormalities Cancer Genomics and Diagnostics

Publication details

Journal / source
Genetics in Medicine Open
Volume
4
Pages
104058–104058
Publication date
1 January 2026
Language
EN