Beyond the Usual Suspects: Expanding on Mutations and Detection for Familial Hypercholesterolemia.

Expert Rev Mol Diagn

Department of Vascular Medicine, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands.

Published: September 2021

AI Article Synopsis

  • * Advances in genetic technologies, especially next-generation sequencing, have improved the understanding of FH by identifying variants and exploring their relationship to the condition, leading to better diagnosis and treatment options.
  • * The demand for genetic testing for FH is increasing as costs decrease and new treatments necessitate genetic verification, highlighting the need for training healthcare professionals in these molecular technologies for effective patient care.

Article Abstract

: Familial hypercholesterolemia (FH) is a highly prevalent condition, predisposing individuals to premature cardiovascular disease and with a genetic basis more complex than initially thought. Advances in molecular technologies have provided novel insights into the role of next-generation-sequencing, the assessment and classification of newly found variants, the complex genotype-phenotype correlation, and the position of FH in the context of other dyslipidaemias.: Understanding the scope of genetic determinants of FH has expanded substantially. This article reviews the current literature on the complexity that comes with this incremental knowledge and highlights the added value of genetic testing as an addition to phenotypic diagnosis of FH. Moreover, we discuss the broad genetic basis of FH, with a focus on the three main FH genes, but we also pay attention to polygenic hypercholesterolemia as well as minor and modulator genes involved in FH.: Both the availability and the need for genetic analysis of FH are on the rise as costs of sequencing continue to drop and new therapies require a genetic diagnosis for reimbursement. However, greater use of genetic testing requires more education of healthcare professionals, since molecular technologies will allow for rapid and accurate evaluation of large numbers of detected variants.

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Source
http://dx.doi.org/10.1080/14737159.2021.1953985DOI Listing

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