Genomic and clinical predictors of cardiovascular disease in Familial dyslipidemia: risk stratification in Egyptian adolescents and young adults
Rattachement africain : Égypte, us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Abstract Familial dyslipidemia (FD), particularly familial hypercholesterolemia (FH), is a major contributor to premature cardiovascular disease (CVD), especially in regions with high consanguinity and underutilized genetic screening, such as Egypt. This study aimed to assess clinical, biochemical, and genetic factors that differentiate FD patients with and without CVD, and to develop a composite risk score for individualized stratification. A cross-sectional study was conducted on 60 Egyptian patients aged 15–25 years with genetically confirmed FD, equally divided based on CVD status. All participants underwent detailed clinical assessment, lipid profiling, and targeted next-generation sequencing of LDLR, APOB, and PCSK9 genes. Missense variants were evaluated using SIFT, PolyPhen-2, CADD, and ΔΔG stability scores, and classified according to ACMG criteria. Compared to non-CVD patients, those with CVD had significantly higher triglyceride levels (median: 356.5 vs. 236.5 mg/dL; p < 0.001) and a higher frequency of heterozygous pathogenic LDLR variants (30.0% vs. 3.3%; p = 0.006), while homozygous variants were more common in non-CVD patients (26.7% vs. 0%; p = 0.002). Deleterious missense variants were notably more frequent in the CVD group (56.7% vs. 10.0%; p < 0.001). A 10-variable composite risk score integrating clinical, lipid, and bioinformatic predictors effectively distinguished high- and moderate-risk cases (AUC = 0.742; p = 0.022), with 89.5% sensitivity and 81.8% negative predictive value. The study highlights the importance of combining clinical and genomic data for early risk stratification and introduces a pragmatic tool for identifying high-risk youth in resource-limited, consanguineous populations.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
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Où se fait cette recherche
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National Research Centre Égypte (code pays fourni par la source)Structure de recherche
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Ruane Medical pays non établi dans la noticeÉtablissement de santé
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Ain Shams University Égypte (code pays fourni par la source)Université ou école supérieure
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Menoufia University Menoufia University, Égypte (code pays fourni par la source)Université ou école supérieure
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Benha University Benha University, Égypte (code pays fourni par la source)Université ou école supérieure
National Research Centre (Égypte), Ruane Medical et Ain Shams University (Égypte), avec 2 autres affiliations. Pays d’affiliation : Égypte.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.