Borges JB, Oliveira VF, Dagli-Hernandez C, Ferreira GM, Barbosa TKAA, da Silva Rodrigues Marçal E, Los B, Malaquias VB, Bortolin RH, Freitas RCC, Mori AA, Bastos GM, Gonçalves RM, Araújo DB, Zatz H, Bertolami A, Faludi AA, Bertolami MC, de Moraes Rego Souza AG, França JÍD, Thurow HS, Hirata TDC, Nakaya HTI, Jannes CE, da Costa Pereira A, Silbiger VN, Luchessi AD, Araújo JNG, Nakazone MA, Carmo TS, Souza DRS, Moriel P, Wang JYT, Naslavsky MS, Gorjão R, Pithon-Curi TC, Curi R, Fajardo CM, Wang HL, Garófalo AR, Cerda A, Sampaio MF, Hirata RDC, and Hirata MH
Familial hypercholesterolemia (FH) is a monogenic disease characterized by high plasma low-density lipoprotein cholesterol (LDL-c) levels and increased risk of premature atherosclerotic cardiovascular disease. Mutations in FH-related genes account for 40% of FH cases worldwide. In this study, we aimed to assess the pathogenic variants in FH-related genes in the Brazilian FH cohort FHBGEP using exon-targeted gene sequencing (ETGS) strategy. FH patients (n = 210) were enrolled at five clinical sites and peripheral blood samples were obtained for laboratory testing and genomic DNA extraction. ETGS was performed using MiSeq platform (Illumina). To identify deleterious variants in LDLR, APOB, PCSK9, and LDLRAP1, the long-reads were subjected to Burrows-Wheeler Aligner (BWA) for alignment and mapping, followed by variant calling using Genome Analysis Toolkit (GATK) and ANNOVAR for variant annotation. The variants were further filtered using in-house custom scripts and classified according to the American College Medical Genetics and Genomics (ACMG) guidelines. A total of 174 variants were identified including 85 missense, 3 stop-gain, 9 splice-site, 6 InDel, and 71 in regulatory regions (3'UTR and 5'UTR). Fifty-two patients (24.7%) had 30 known pathogenic or likely pathogenic variants in FH-related genes according to the American College Medical and Genetics and Genomics guidelines. Fifty-three known variants were classified as benign, or likely benign and 87 known variants have shown uncertain significance. Four novel variants were discovered and classified as such due to their absence in existing databases. In conclusion, ETGS and in silico prediction studies are useful tools for screening deleterious variants and identification of novel variants in FH-related genes, they also contribute to the molecular diagnosis in the FHBGEP cohort., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)