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- Proposal of a Familial Hypercholesterolemia Pediatric Diagnostic Score (FH-PeDS)Publication . Kafol, Jan; Miranda, Beatriz; Sikonja, Rok; Sikonja, Jaka; Wiegman, Albert; Medeiros, Ana Margarida; Alves, Ana Catarina; Freiberger, Tomas; Hutten, Barbara A.; Mlinaric, Matej; Battelino, Tadej; Humphries, Steve E.; Bourbon, Mafalda; Groselj, UrhBackground and aims: Familial hypercholesterolemia (FH) significantly increases cardiovascular risk from childhood yet remains widely underdiagnosed. This cross-sectional study aimed to evaluate existing pediatric FH diagnostic criteria in real-world cohorts and to develop two novel diagnostic tools: a semi-quantitative scoring system (FH-PeDS) and a machine learning model (ML-FH-PeDS) to enhance early FH detection. Methods: Five established FH diagnostic criteria were assesed (Dutch Lipid Clinics Network [DLCN], Simon Broome, EAS, Simplified Canadian, and Japanese Atherosclerosis Society) in Slovenian (N=1,360) and Portuguese (N=340) pediatric hypercholesterolemia cohorts, using FH-causing variants as the reference standard. FH-PeDS was developed from the Slovenian cohort, and ML-FH-PeDS was trained and tested using a 60%/40% split before external validation in the Portuguese cohort. Results: Only 47.4% of genetically confirmed FH cases were identified by all established criteria, while 10.9% were missed entirely. FH-PeDS outperformed DLCN in the combined cohort (AUC 0.897 vs. 0.857; p<0.01). ML-FH-PeDS showed superior predictive power (AUC 0.932 in training, 0.904 in testing vs. 0.852 for DLCN; p<0.01) and performed best as a confirmatory test in the testing subgroup (39.7% sensitivity, 87.7% PPV at 98% specificity). In the Portuguese cohort, ML-FH-PeDS maintained strong predictive performance (AUC 0.867 vs. 0.815 for DLCN; p<0.01) despite population differences. Conclusions: Current FH diagnostic criteria perform suboptimally in children. FH-PeDS and ML-FH-PeDS provide tools to improve FH detection, particularly where genetic testing is limited. They also help guide genetic testing decisions for hypercholesterolemic children. By enabling earlier diagnosis and intervention, these tools may reduce long-term cardiovascular risk and improve outcomes.
- Functional characterization of 16 variants found in the LDL receptor genePublication . Konečná, Kateřina; Přerovská, Tereza; Loja, Tomáš; Fajkusová, Lenka; Koutná, Jana; Kramárek, Michal; Alves, Ana Catarina; Bourbon, Mafalda; Freiberger, Tomáš; Tichý, LukášFamilial hypercholesterolemia (FH) is a disorder of cholesterol metabolism characterized by elevated LDL-cholesterol levels. The most common cause of FH is pathogenic variants in the LDL receptor (LDLR) gene. To shed light on the functional impact of selected LDLR variants, we functionally characterized 16 LDLR genetic variants alongside 10 control variants. We performed in vitro assays based on transient expression of WT and mutant LDLRs in LDLR-deficient Chinese hamster ovary cells. We used flow cytometry to analyze the relative amount of LDLRs expressed on the cell surface and the relative amount of internalized LDL. In addition, we analyzed the expression and maturation of LDLR protein by Western blotting. Of the 16 studied variants, two variants (p.(Asn272Thr) and p.(Arg574Leu)) did not exhibit a defect in LDLR function, one variant (p.(Ala540Thr)) exhibited a defect in LDL binding and/or internalization despite normal LDLR cell surface expression, and the remaining 13 variants had a detrimental effect on both LDLR cell surface expression and LDL internalization. The information presented in this study contributes to the clinical classification of LDLR variants and a more precise diagnosis of FH patients, highlighting the type of defect each variant produces.
- The Functional Landscape Of Coding Variation In The Familial Hypercholesterolemia Gene LDLRPublication . Tabet, Daniel R.; Coté, Atina G.; Lancaster, Megan C.; Weile, Jochen; Rayhan, Ashyad; Fotiadou, Iosifina; Kishore, Nishka; Li, Roujia; Kuang, Da; Knapp, Jennifer J.; Carrero, Carmela Serio; Taverniti, Olivia; Axakova, Anna; Castelli, Jack M. P.; Islam, Mohammad Majharul; Sowlati-Hashjin, Shahin; Gandhi, Aanshi; Maaieh, Ranim; Garton, Michael; Matreyek, Kenneth; Fowler, Douglas M.; Bourbon, Mafalda; Pfisterer, Simon G.; Glazer, Andrew M.; Kroncke, Brett M.; Parikh, Victoria N.; Ashley, Euan A.; Knowles, Joshua W.; Claussnitzer, Melina; Cirulli, Elizabeth T.; Hegele, Robert A.; Roden, Dan M.; MacRae, Calum A.; Roth, Frederick P.Variants in the familial hypercholesterolemia gene -the most important genetic driver of cardiovascular disease-can raise circulating low-density lipoprotein (LDL) cholesterol concentrations and increase the risk of premature atherosclerosis. Definitive classifications are lacking for nearly half of clinically encountered missense variants, limiting interventions that reduce disease burden. Here, we tested the impact of ~17,000 (nearly all possible) missense coding variants on both LDLR cell-surface abundance and LDL uptake, yielding sequence-function maps that recapitulate known biochemistry, offer functional insights, and provide evidence for interpreting clinical variants. Functional scores correlated with hyperlipidemia phenotypes in prospective human cohorts and augmented polygenic scores to improve risk inference, highlighting the potential of this resource to accelerate familial hypercholesterolemia diagnosis and improve patient outcomes.
- Sitosterolemia In iberoamerican countries: 16 new cases and phenotype genotype analysisPublication . Alves, Ana Catarina; Chora, Joana Rita; Miranda, Beatriz; Medeiros, Ana Margarida; Graça, Rafael; Bañares, Virginia G.; Araujo, Maria Beatriz; Vilagut, Ferrán Trías; Soler, Cristina; Meavilla, Silvia; Toledo, Maria J. Benitez; Volpe, Camila Garcia; Reyes, Ximena; Dell'Oca, Nicolás; Martins, Paula; Marado, Diana; Vilarinho, Laura; Dias, Aureliano Jorge; Ferreira, Ana Cristina; Padeira, Gonçalo; Casañas, Marta; Alegre-González, Diana; Lozano, José Mosquera; Aguiar, Patrício; Gonçalves, Filipa Sousa; Ernaga, Ander; Apellaniz-Ruiz, Maria; Rubi, Rodrigo; Figueroa, Nahún Muñoz; Vasquez, Norma Alejandra; Valdivielso, Pedro; Bourbon, Mafalda; ElsevierBackground: Sitosterolemia is a rare autosomal recessive lipid disorder caused by biallelic pathogenic variants in ABCG5 or ABCG8 genes. It is characterized by elevated plasma plant sterol concentrations, xanthomas, and an increased risk of premature cardiovascular disease. As happens with familial hypercholesterolemia (FH), sitosterolemia is subdiagnosed and is frequently confounded with FH, resulting in inappropriate management. This study aims to describe newly identified cases across Iberoamerican countries and to highlight the need for improved diagnostic strategies. Methods: We report 16 cases of molecularly confirmed sitosterolemia from 5 Iberoamerican countries (Argentina, Mexico, Portugal, Spain, and Uruguay), including 12 index cases and 4 relatives identified by cascade screening. Clinical, biochemical, and molecular data were collected and analyzed. β-sitosterol levels were measured when possible, and variant classification followed American College of Medical Genetics and Genomics (ACMG) guidelines with disease-specific adaptations. Results: Fifteen individuals had biallelic variants in ABCG8 and 1 had a homozygous frameshift variant in ABCG5. Ten distinct ABCG8 variants were identified, including 7 nonsense and 3 missense variants. Xanthomas were observed in 56% of cases. Most cases were initially diagnosed as FH, with a diagnostic delay of up to 30 years. Treatment with ezetimibe, alone or combined with statins, led to biochemical and clinical improvement, including xanthoma regression in some cases. Conclusion: Sitosterolemia remains underdiagnosed due to lack of systematic screening and clinical overlap with FH. Our findings highlight the importance of including ABCG5/8 in genetic testing panels and of recognizing clinical clues for early diagnosis, enabling targeted treatment and prevention of adverse outcomes. Adapted ACMG variant classification improves interpretability for ABCG5/8-related sitosterolemia.
- Neurometabolic profiles of autism spectrum disorder patients with genetic variants in specific neurotransmission and synaptic genesPublication . Vilela, Joana; Pereira, Andreia C.; Violante, Inês R.; Mouga, Susana; Rasga, Célia; Santos, João Xavier; Martiniano, Hugo; Marques, Ana Rita; Oliveira, Guiomar; Castelo-Branco, Miguel; Vicente, Astrid MouraAutism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by impaired social interaction, and restricted and repetitive patterns of behavior. ASD presents as a clinical spectrum, with variable levels of severity and multiple co-occurring conditions. The etiology of ASD may involve hundreds of genes and there is evidence that neurotransmitter and synaptic (NS) pathways are implicated. Proton Magnetic Resonance Spectroscopy (H-MRS) has made it possible to study the concentration of brain neurometabolites and compare their levels in the brains of ASD and control individuals. We integrated genetic variants in NS genes with H-MRS analysis, and identified 12 predicted damaging variants (PDVs) in 12 NS genes in 10 ASD individuals, most mapping to genes involved in Gamma-aminobutyric acid (GABA) and glutamate pathways. Total creatine (tCr) and total N-acetyl aspartate (tNAA), markers of bioenergetics and neuronal metabolism, respectively, were lower in ASD patients with genetic alterations in NS genes compared to a control group without ASD. We conclude that PDVs in NS genes that are important for the regulation of glutamate or involved in GABAergic functions are associated with neurometabolic alterations, and that dysfunction in glutamatergic and/or GABAergic pathways may be implicated as these pathways are linked to the metabolic measures altered in cases.
- The current stage of Italy in the implementation of genomics into the National Healthcare System: an application of the B1MG maturity level modelPublication . Baccolini, Valentina; Pitini, Erica; Galeone, Daniela; Marzuillo, Carolina; Cicchetti, Americo; Arca, Marcello; Vicente, Astrid M.; Boccia, Stefania; Villari, PaoloIntroduction: Genomics holds significant promise for prevention and clinical care yet integrating it into the national healthcare system (NHS) requires considerable system-wide changes. This study assessed the current stage of Italy in the use of genomics, to map critical areas for improvement and contribute to a strategic plan. Methods: A total of 18 experts rated individually the level of maturity of the Italian NHS on a scale from 1 (lowest) to 5 (highest) using the B1MG Maturity Level Model tool. This instrument is an European matrix of 49 indicators grouped into eight domains: governance, economic aspects, ethics and legislation, public awareness, workforce skills, clinical organization, clinical guidelines, and data infrastructure. Consensus procedures were performed within each domain to finally agree on one maturity level per indicator. Results: Despite a few national initiatives, Italy shows a local level of implementation in most indicators. Genomic medicine is considered a priority, but still lacks an updated strategy and investment plans. A higher maturity is reached for ethical and legal aspects, but there is a strong need to invest in workforce training, citizen engagement and literacy, and large-scale adoption of tools and novel technologies. Infrastructures and guidelines to improve data storage, management, analysis, interpretation, and sharing are not yet widespread available. Discussion: Italy is at the beginning of its journey towards a sustainable implementation of genomics. An updated national strategy with coordinated actions and investment plans is needed to make progress in key areas, including personnel education, public engagement, technical infrastructure, and clinical organization.
- Implementation of genetic tests for disease prevention: challenges in evidence synthesis across clinical utility domainsPublication . Gris, Angelica Valz; Vicente, Astrid M.; Boccia, StefaniaExcerpt: Robust evidence supports the critical role of genetic risk in shaping the frequency of a broad range of diseases, underscoring its significance as a determinant of health outcomes [1]. Accordingly, genetic and genomic tests hold significant potential for disease prevention by stratifying populations based on individual genetic profiles and guiding targeted interventions. However, despite the enthusiasm surrounding these technologies, their integration into preventive healthcare faces significant hurdles, primarily due to the insufficient evidence supporting their clinical utility [2]. Clinical utility, though not universally defined, generally refers to the test’s usefulness to provide actionable information that improves health outcomes. (...)
- Exploring the Implementation of Health Impact Assessment in Portuguese Public Health SystemPublication . Costa, Luciana; Costa, Alexandra; Ferreira, Ana Catarina Dias; Martin-Olmedo, Piedad; Green, LizHealth Impact Assessment (HIA) is a proactive, evidence-based approach that integrates health considerations into decision-making across sectors to prevent adverse effects and promote health equity. While global interest in HIA is growing, its implementation varies by country. In Portugal, despite existing legal frameworks and some previous capacity-building efforts, HIA is not fully institutionalized, and its practice within the Public Health System (PHS) remains largely undocumented. To address this, we conducted an online survey targeting regional and local PHS professionals to assess their awareness, experience, and perceptions of the barriers and facilitators to effective HIA implementation. The results obtained from 187 valid answers gathered from the survey revealed a strikingly low level of HIA awareness and practice within the Portuguese PHS, underscoring the urgent need for improved training and capacity building. Furthermore, the survey identified strong professional interest in HIA initiatives, suggesting significant potential for developing HIA specialized educational programs. Overall, the findings call for stronger political leadership at the governmental level to establish HIA as a key tool for achieving sustainable development goals. Finally, the study emphasizes the potential for international collaboration, particularly with Portuguese-speaking countries, to adapt these insights to their own contexts.
- A scoping review of the assessment reports of genetic or genomic tests reveals inconsistent consideration of key dimensions of clinical utilityPublication . Pezzullo, Angelo Maria; Gris, Angelica Valz; Scarsi, Nicolò; Tona, Diego Maria; Porcelli, Martina; Di Pumpo, Matteo; Piko, Peter; Adany, Roza; Kannan, Pragathy; Perola, Markus; Cardoso, Maria Luis; Costa, Alexandra; Vicente, Astrid M.; Reigo, Anu; Vaht, Mariliis; Metspalu, Andres; Kroese, Mark; Pastorino, Roberta; Boccia, StefaniaObjectives: Genetic and genomic tests are the cornerstone of personalized preventive approaches. Inconsistency in evaluating their clinical utility is often cited as a reason for their limited implementation in clinical practice. Previous reviews have primarily focused on theoretical frameworks used for clinical utility evaluations of genetic tests, rather than actual assessments and examined dimensions, rather than specific indicators within these dimensions. We aimed to review the dimensions and the specific indicators measured in published assessment reports of genetic or genomic tests. Study design and setting: We conducted a scoping review of assessment reports of genetic and genomic tests used for prevention, searching through PubMed, Web of Science, Scopus, the websites of 20 different organizations, Google, and Google Scholar. From the included assessments, we extracted the reported indicators of clinical utility, compiling a list of disease-specific indicators that detailed their numerator, denominator, and calculation methods. We analyzed the extracted indicators by stratifying them according to ten comprehensive dimensions of clinical utility, the assessment framework used, and the type of indicator (categorized as quantitative, qualitative, reference, or no evidence reported). From these indicators, we then distilled a list of general indicators. Results: We reviewed 3054 unique references and 12,000 results from gray literature searches, ultimately selecting 57 assessment reports. The reference frameworks used were health technology assessment (HTA) (42%), Evaluation of Genomic Applications in Practice and Prevention (EGAPP) (25%), ACCE (21%), and others (12%). We identified 951 disease-specific indicators. The dimensions most frequently evaluated (ie, had at least one indicator) were analytic validity (60%), clinical validity (79%), clinical efficacy (79%), and economic impact (58%). Only 12 assessments compared health outcomes between tested and untested groups, and fewer than 15% of the assessments addressed equity, acceptability, legitimacy, and personal value. Conclusion: Our study illustrates that, although dimensions such as equity and acceptability, are significantly emphasized in traditional evaluation frameworks, these are often not considered in the assessments. Additionally, our study has underscored a significant dearth of reported primary evidence concerning the clinical efficacy of these tests.
- Overweight, Obesity, And Cardiovascular Disease In Heterozygous Familial Hypercholesterolaemia: The EAS FH Studies Collaboration RegistryPublication . Elshorbagy, Amany; Vallejo-Vaz, Antonio J.; Barkas, Fotios; Lyons, Alexander R.M.; Stevens, Christophe A.T.; Dharmayat, Kanika I.; Catapano, Alberico L.; Freiberger, Tomas; Hovingh, G. Kees; Mata, Pedro; Raal, Frederick J.; Santos, Raul D.; Soran, Handrean; Watts, Gerald F.; Abifadel, Marianne; Aguilar-Salinas, Carlos A.; Alhabib, Khalid F.; Alkhnifsawi, Mutaz; Almahmeed, Wael; Alnouri, Fahad; Alonso, Rodrigo; Al-Rasadi, Khalid; Al-Sarraf, Ahmad; Arca, Marcello; Ashavaid, Tester F.; Averna, Maurizio; Banach, Maciej; Becker, Marianne; Binder, Christoph J.; Bourbon, Mafalda; Brunham, Liam R.; Chlebus, Krzysztof; Corral, Pablo; Cruz, Diogo; Davletov, Kairat; Descamps, Olivier S.; Dwiputra, Bambang; Ezhov, Marat; Groselj, Urh; Harada-Shiba, Mariko; Holven, Kirsten B.; Humphries, Steve E.; Kayikcioglu, Meral; Khovidhunkit, Weerapan; Lalic, Katarina; Latkovskis, Gustavs; Laufs, Ulrich; Liberopoulos, Evangelos; Lima-Martinez, Marcos M.; Maher, Vincent; Marais, A David; März, Winfried; Mirrakhimov, Erkin; Miserez, André R.; Mitchenko, Olena; Nawawi, Hapizah; Nordestgaard, Børge G.; Panayiotou, Andrie G.; Paragh, György; Petrulioniene, Zaneta; Pojskic, Belma; Postadzhiyan, Arman; Reda, Ashraf; Reiner, Željko; Reyes, Ximena; Sadiq, Fouzia; Sadoh, Wilson Ehidiamen; Schunkert, Heribert; Shek, Aleksandr B.; Stroes, Erik; Su, Ta-Chen; Subramaniam, Tavintharan; Susekov, Andrey V.; Tilney, Myra; Tomlinson, Brian; Truong, Thanh Huong; Tselepis, Alexandros D.; Tybjærg-Hansen, Anne; Vázquez-Cárdenas, Alejandra; Viigimaa, Margus; Vohnout, Branislav; Yamashita, Shizuya; Ray, Kausik K.; EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC)Background and aims: Overweight and obesity are modifiable risk factors for atherosclerotic cardiovascular disease (ASCVD) in the general population, but their prevalence in individuals with heterozygous familial hypercholesterolaemia (HeFH) and whether they confer additional risk of ASCVD independent of LDL cholesterol (LDL-C) remains unclear. Methods: Cross-sectional analysis was conducted in 35 540 patients with HeFH across 50 countries, in the EAS FH Studies Collaboration registry. Prevalence of World Health Organization-defined body mass index categories was investigated in adults (n = 29 265) and children/adolescents (n = 6275); and their association with prevalent ASCVD. Results: Globally, 52% of adults and 27% of children with HeFH were overweight or obese, with the highest prevalence noted in Northern Africa/Western Asia. A higher overweight/obesity prevalence was found in non-high-income vs. high-income countries. Median age at familial hypercholesterolaemia diagnosis in adults with obesity was 9 years older than in normal weight adults. Obesity was associated with a more atherogenic lipid profile independent of lipid-lowering medication. Prevalence of coronary artery disease increased progressively across body mass index categories in both children and adults. Compared with normal weight, obesity was associated with higher odds of coronary artery disease in children (odds ratio 9.28, 95% confidence interval 1.77-48.77, adjusted for age, sex, lipids, and lipid-lowering medication) and coronary artery disease and stroke in adults (odds ratio 2.35, 95% confidence interval 2.10-2.63 and odds ratio 1.65, 95% confidence interval 1.27-2.14, respectively), but less consistently with peripheral artery disease. Adjusting for diabetes, hypertension and smoking modestly attenuated the associations. Conclusions: Overweight and obesity are common in patients with HeFH and contribute to ASCVD risk from childhood, independent of LDL-C and lipid-lowering medication. Sustained body weight management is needed to reduce the risk of ASCVD in HeFH.