1. Familial hypercholesterolemia – Targeted whole gene sequencing as a diagnostic approach
- Author
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Emma Adolfsson, Nils Johan Fredriksson, Jon Jonasson, Anna Nordenskjöld, and Anna Green
- Subjects
Familial hypercholesterolemia ,Low density lipoprotein receptor ,Genetic testing ,Sequence analysis ,Copy number variation ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background and aims: Familial hypercholesterolemia (FH) and other disorders with similar features are common genetic disorders that remain underdiagnosed and undertreated, due in part to the cost of screening. The aim of this study was to design and implement a whole gene targeted NGS panel for the molecular diagnosis of FH and statin intolerance with an emphasis on high quality variant calling, including copy number analysis. Methods: A whole gene panel for hybridisation-based short read NGS was designed for the dominant FH-genes low density lipoprotein receptor (LDLR), apolipoprotein B (APOB), proproteinconvertas subtilisin/kexin type 9 (PCSK9), apolipoprotein E (APOE) and the recessive FH-genes low density lipoprotein receptor adaptor protein 1 (LDLRAP1), ATP binding cassette subfamily member 5/8 (ABCG5/8) and lipase A, lysosomal acid type (LIPA), as well as solute carrier organic anion transporter family member 1B1 (SLCO1B1), not an FH gene but linked to statin intolerance. Polygenetic risk score markers were also included. The panel was used for screening of a Swedish FH-study population (n = 133). Results: The panel sequencing resulted in high coverage and confident variant calling of included genes. Known causal variants were found in common dominant FH-genes in 43 % of the cohort. Copy number variants were found in LDLR in 10 individuals and a whole gene deletion of SLCO1B1 in one individual. In addition, coding variants in recessive genes and rare non-coding intronic and untranslated region variants were found in a large proportion of the study individuals highlighting the need for extended gene panels. Conclusions: This new tool can be used for a comprehensive high-quality molecular genetic analysis according to guidelines for the diagnosis and treatment of FH.
- Published
- 2025
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