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Published on: September 15, 2018
Global survey of genetic testing methods for familial hypercholesterolemia. A study and recommendations from the EAS
Joana Rita Chora1,2,3, Irene Karungi4, Amany Elshorbagy4,5
1Unidade de Investigação e Desenvolvimento, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.
Background And Aims:
Familial hypercholesterolemia (FH), primarily caused by pathogenic LDLR, APOB, or PCSK9 variants, results in elevated LDL-C and increased cardiovascular risk. Genetic testing offers the definitive diagnosis, yet global approaches to FH genetic testing remain unstandardized. We investigate current testing practices worldwide and provide relevant recommendations.
Methods:
A survey was distributed to national lead-investigators (NLIs) of 68 countries in the FH-Studies Collaboration, assessing referral criteria, assay methodologies, target genes, and pathogenicity interpretation methods.
Results:
NLIs from centres in 55/68 countries (81%) responded, spanning Africa (N=2), Americas (N=6), Asia (N=20), Europe (N=26), and Oceania (N=1). DLCN scores were the most common reason for referral to genetic testing (adults:72%; children:57%). Simon Broome and MEDPED criteria were reported only by centres from high-income countries (adults: 7% and 2%; children: 12% and 2%). Methods for testing in index versus non-index cases were significantly different (p <0.001). Next-generation sequencing (NGS) was the predominant assay method for index cases (62%), while Sanger sequencing was favoured for non-index (71%). However, these testing techniques did not differ between centres from high- and non-high-income countries for index cases (p=0.74) and non-index cases (p=0.49). Copy-number variants (CNVs) were assessed by 65% of centres, with most integrating CNV analysis into NGS platforms (86%) and others (14%) using multiplex ligation-dependent probe-amplification (MLPA) or microarrays. Screening encompassed LDLR (100%), APOB (97%), PCSK9 (95%), and other genes. Most centres (96%) incorporated pathogenicity interpretation into their reports, adhering largely to American College of Medical Genetics and Genomics guidelines.
Conclusions:
FH genetic testing practices vary widely across countries surveyed, emphasizing the need for global standardization to enhance accuracy and comparability of FH diagnoses worldwide. We suggest that genetic testing should include the three FH-causing genes and ideally the five associated/phenocopy genes.
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