Journal of the American College of Cardiology · 2018
Clinical Genetic Testing for Familial Hypercholesterolemia: JACC Scientific Expert Panel.
СтатьяОбзорConsensus StatementНазвание и аннотация: Перевод пока не подготовлен
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Sturm Amy C, Knowles Joshua W, Gidding Samuel S, Ahmad Zahid S, Ahmed Catherine D, Ballantyne Christie M, Baum Seth J, Bourbon Mafalda, Carrié Alain, Cuchel Marina, de Ferranti Sarah D, Defesche Joep C, Freiberger Tomas, Hershberger Ray E, Hovingh G Kees, Karayan Lala, Kastelein Johannes Jacob Pieter, Kindt Iris, Lane Stacey R, Leigh Sarah E, Linton MacRae F, Mata Pedro, Neal William A, Nordestgaard Børge G, Santos Raul D, Harada-Shiba Mariko, Sijbrands Eric J, Stitziel Nathan O, Yamashita Shizuya, Wilemon Katherine A, Ledbetter David H, Rader Daniel J, Convened by the Familial Hypercholesterolemia Foundation
Аннотация
Although awareness of familial hypercholesterolemia (FH) is increasing, this common, potentially fatal, treatable condition remains underdiagnosed. Despite FH being a genetic disorder, genetic testing is rarely used. The Familial Hypercholesterolemia Foundation convened an international expert panel to assess the utility of FH genetic testing. The rationale includes the following: 1) facilitation of definitive diagnosis; 2) pathogenic variants indicate higher cardiovascular risk, which indicates the potential need for more aggressive lipid lowering; 3) increase in initiation of and adherence to therapy; and 4) cascade testing of at-risk relatives. The Expert Consensus Panel recommends that FH genetic testing become the standard of care for patients with definite or probable FH, as well as for their at-risk relatives. Testing should include the genes encoding the low-density lipoprotein receptor (LDLR), apolipoprotein B (APOB), and proprotein convertase subtilisin/kexin 9 (PCSK9); other genes may also need to be considered for analysis based on patient phenotype. Expected outcomes include greater diagnoses, more effective cascade testing, initiation of therapies at earlier ages, and more accurate risk stratification.