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Cuchel M, Lee PC, Hudgins LC, Duell PB, Ahmad Z, Baum SJ, Linton MF, de Ferranti SD, Ballantyne CM, Larry JA, Hemphill LC, Kindt I, Gidding SS, Martin SS, Moriarty PM, Thompson PP, Underberg JA, Guyton JR, Andersen RL, Whellan DJ, Benuck I, Kane JP, Myers K, Howard W, Staszak D, Jamison A, Card MC, Bourbon M, Chora JR, Rader DJ, Knowles JW, Wilemon K, McGowan MP. Contemporary Homozygous Familial Hypercholesterolemia in the United States: Insights From the CASCADE FH Registry. J Am Heart Assoc 2023; 12:e029175. [PMID: 37119068 PMCID: PMC10227232 DOI: 10.1161/jaha.122.029175] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 04/06/2023] [Indexed: 04/30/2023]
Abstract
Background Homozygous familial hypercholesterolemia (HoFH) is a rare, treatment-resistant disorder characterized by early-onset atherosclerotic and aortic valvular cardiovascular disease if left untreated. Contemporary information on HoFH in the United States is lacking, and the extent of underdiagnosis and undertreatment is uncertain. Methods and Results Data were analyzed from 67 children and adults with clinically diagnosed HoFH from the CASCADE (Cascade Screening for Awareness and Detection) FH Registry. Genetic diagnosis was confirmed in 43 patients. We used the clinical characteristics of genetically confirmed patients with HoFH to query the Family Heart Database, a US anonymized payer health database, to estimate the number of patients with similar lipid profiles in a "real-world" setting. Untreated low-density lipoprotein cholesterol levels were lower in adults than children (533 versus 776 mg/dL; P=0.001). At enrollment, atherosclerotic cardiovascular disease and supravalvular and aortic valve stenosis were present in 78.4% and 43.8% and 25.5% and 18.8% of adults and children, respectively. At most recent follow-up, despite multiple lipid-lowering treatment, low-density lipoprotein cholesterol goals were achieved in only a minority of adults and children. Query of the Family Heart Database identified 277 individuals with profiles similar to patients with genetically confirmed HoFH. Advanced lipid-lowering treatments were prescribed for 18%; 40% were on no lipid-lowering treatment; atherosclerotic cardiovascular disease was reported in 20%; familial hypercholesterolemia diagnosis was uncommon. Conclusions Only patients with the most severe HoFH phenotypes are diagnosed early. HoFH remains challenging to treat. Results from the Family Heart Database indicate HoFH is systemically underdiagnosed and undertreated. Earlier screening, aggressive lipid-lowering treatments, and guideline implementation are required to reduce disease burden in HoFH.
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Affiliation(s)
- Marina Cuchel
- Division of Translational Medicine and Human Genetics, Department of Medicine Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
| | - Paul C Lee
- Division of Translational Medicine and Human Genetics, Department of Medicine Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
| | - Lisa C Hudgins
- The Rogosin Institute/Weill Cornell Medical College New York NY
| | - P Barton Duell
- Center for Preventive Cardiology, Knight Cardiovascular Institute, and Division of Endocrinology, Diabetes, and Clinical Nutrition, Department of Medicine Oregon Health and Science University Portland OR
| | - Zahid Ahmad
- Division of Endocrinology, Department of Internal Medicine UT Southwestern Medical Center Dallas TX
| | | | - MacRae F Linton
- Division of Cardiovascular Medicine, Department of Medicine Vanderbilt University Medical Center Nashville TN
| | | | | | - John A Larry
- Ohio State University Wexner Medical Center Columbus OH
| | | | | | | | - Seth S Martin
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins University School of Medicine Baltimore MD
| | | | | | | | - John R Guyton
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine Duke University Medical Center Durham NC
| | | | | | - Irwin Benuck
- Department of Pediatrics Feinberg School of Medicine Chicago IL
| | | | | | | | | | | | | | - Mafalda Bourbon
- Unidade de I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa AND BioISI-Biosystems and Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa Lisboa Portugal
| | - Joana R Chora
- Unidade de I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa AND BioISI-Biosystems and Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa Lisboa Portugal
| | - Daniel J Rader
- Division of Translational Medicine and Human Genetics, Department of Medicine Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
| | - Joshua W Knowles
- Family Heart Foundation Pasadena CA
- Division of Cardiovascular Medicine, Department of Medicine Cardiovascular Institute Stanford CA
- Stanford Diabetes Research Center Stanford CA
- Stanford Prevention Research Center Stanford CA
| | | | - Mary P McGowan
- Family Heart Foundation Pasadena CA
- Department of Medicine Section of Cardiovascular Medicine, Dartmouth-Hitchcock Medical Center Lebanon NH
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Chora JR, Iacocca MA, Tichý L, Wand H, Kurtz CL, Zimmermann H, Leon A, Williams M, Humphries SE, Hooper AJ, Trinder M, Brunham LR, Costa Pereira A, Jannes CE, Chen M, Chonis J, Wang J, Kim S, Johnston T, Soucek P, Kramarek M, Leigh SE, Carrié A, Sijbrands EJ, Hegele RA, Freiberger T, Knowles JW, Bourbon M. The Clinical Genome Resource (ClinGen) Familial Hypercholesterolemia Variant Curation Expert Panel consensus guidelines for LDLR variant classification. Genet Med 2021; 24:293-306. [PMID: 34906454 DOI: 10.1016/j.gim.2021.09.012] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 08/06/2021] [Accepted: 09/15/2021] [Indexed: 01/02/2023] Open
Abstract
PURPOSE In 2015, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) published consensus standardized guidelines for sequence-level variant classification in Mendelian disorders. To increase accuracy and consistency, the Clinical Genome Resource Familial Hypercholesterolemia (FH) Variant Curation Expert Panel was tasked with optimizing the existing ACMG/AMP framework for disease-specific classification in FH. In this study, we provide consensus recommendations for the most common FH-associated gene, LDLR, where >2300 unique FH-associated variants have been identified. METHODS The multidisciplinary FH Variant Curation Expert Panel met in person and through frequent emails and conference calls to develop LDLR-specific modifications of ACMG/AMP guidelines. Through iteration, pilot testing, debate, and commentary, consensus among experts was reached. RESULTS The consensus LDLR variant modifications to existing ACMG/AMP guidelines include (1) alteration of population frequency thresholds, (2) delineation of loss-of-function variant types, (3) functional study criteria specifications, (4) cosegregation criteria specifications, and (5) specific use and thresholds for in silico prediction tools, among others. CONCLUSION Establishment of these guidelines as the new standard in the clinical laboratory setting will result in a more evidence-based, harmonized method for LDLR variant classification worldwide, thereby improving the care of patients with FH.
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Affiliation(s)
- Joana R Chora
- Department of Health Promotion and Prevention of Noncommunicable Diseases, Nacional Institute of Health Dr. Ricardo Jorge, Lisbon, Portugal; BioISI - BioSystems & Integrative Sciences Institute, Department of Chemistry and Biochemistry, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
| | - Michael A Iacocca
- Departments of Biomedical Data Science and Pathology, School of Medicine, Stanford University, Stanford, CA; Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto Ontario, Canada
| | - Lukáš Tichý
- Centre of Molecular Biology and Gene Therapy, University Hospital Brno, Brno, Czech Republic
| | - Hannah Wand
- Departments of Biomedical Data Science and Pathology, School of Medicine, Stanford University, Stanford, CA; Center for Inherited Cardiovascular Disease, Stanford Health Care, Stanford University, Stanford, CA
| | - C Lisa Kurtz
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | - Maggie Williams
- Bristol Genetics Laboratory, North Bristol NHS Trust, Bristol, United Kingdom
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Amanda J Hooper
- Department of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital and Fiona Stanley Hospital Network, University of Western Australia, Perth, Western Australia, Australia
| | - Mark Trinder
- Department of Medicine, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Liam R Brunham
- Department of Medicine, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexandre Costa Pereira
- Laboratory of Genetics and Molecular Cardiology, Institute of the Hearth (InCor), Faculty of Medicine, São Paulo University, São Paulo, Brazil
| | - Cinthia E Jannes
- Laboratory of Genetics and Molecular Cardiology, Institute of the Hearth (InCor), Faculty of Medicine, São Paulo University, São Paulo, Brazil
| | | | | | - Jian Wang
- Robarts Research Institute, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | | | | | - Premysl Soucek
- Centre for Cardiovascular Surgery and Transplantation, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Michal Kramarek
- Centre for Cardiovascular Surgery and Transplantation, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | | | - Alain Carrié
- University Hospitals Pitié-Salpêtrière/Charles-Foix, Molecular and Chromosomal Genetics Center, Obesity and Dyslipidemia Genetics Unit, Sorbonne University, Paris, France
| | - Eric J Sijbrands
- Academic Medical Center, Erasmus University, Rotterdam, Netherlands
| | - Robert A Hegele
- Robarts Research Institute, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Tomáš Freiberger
- Centre for Cardiovascular Surgery and Transplantation, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Joshua W Knowles
- Division of Cardiovascular Medicine, Stanford Cardiovascular Institute, Prevention Research Center, and Diabetes Research Center, School of Medicine, Stanford University, Stanford, CA; FH Foundation, Pasadena, CA
| | - Mafalda Bourbon
- Department of Health Promotion and Prevention of Noncommunicable Diseases, Nacional Institute of Health Dr. Ricardo Jorge, Lisbon, Portugal; BioISI - BioSystems & Integrative Sciences Institute, Department of Chemistry and Biochemistry, Faculty of Sciences, University of Lisbon, Lisbon, Portugal.
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Iacocca MA, Chora JR, Carrié A, Freiberger T, Leigh SE, Defesche JC, Kurtz CL, DiStefano MT, Santos RD, Humphries SE, Mata P, Jannes CE, Hooper AJ, Wilemon KA, Benlian P, O'Connor R, Garcia J, Wand H, Tichy L, Sijbrands EJ, Hegele RA, Bourbon M, Knowles JW. ClinVar database of global familial hypercholesterolemia-associated DNA variants. Hum Mutat 2019; 39:1631-1640. [PMID: 30311388 PMCID: PMC6206854 DOI: 10.1002/humu.23634] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 08/02/2018] [Accepted: 08/28/2018] [Indexed: 12/14/2022]
Abstract
Accurate and consistent variant classification is imperative for incorporation of rapidly developing sequencing technologies into genomic medicine for improved patient care. An essential requirement for achieving standardized and reliable variant interpretation is data sharing, facilitated by a centralized open-source database. Familial hypercholesterolemia (FH) is an exemplar of the utility of such a resource: it has a high incidence, a favorable prognosis with early intervention and treatment, and cascade screening can be offered to families if a causative variant is identified. ClinVar, an NCBI-funded resource, has become the primary repository for clinically relevant variants in Mendelian disease, including FH. Here, we present the concerted efforts made by the Clinical Genome Resource, through the FH Variant Curation Expert Panel and global FH community, to increase submission of FH-associated variants into ClinVar. Variant-level data was categorized by submitter, variant characteristics, classification method, and available supporting data. To further reform interpretation of FH-associated variants, areas for improvement in variant submissions were identified; these include a need for more detailed submissions and submission of supporting variant-level data, both retrospectively and prospectively. Collaborating to provide thorough, reliable evidence-based variant interpretation will ultimately improve the care of FH patients.
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Affiliation(s)
- Michael A Iacocca
- Robarts Research Institute, Western University, London, Ontario, Canada
| | - Joana R Chora
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.,BioISI, University of Lisbon, Lisbon, Portugal
| | - Alain Carrié
- Hôpitaux Universitaires Pitié-Salpêtrière/Charles-Foix, Molecular and Chromosomal Genetics Center, Obesity and Dyslipidemia Genetics Unit, Assistance Publique-Hôpitaux de Paris, Paris, France.,Inserm, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié, Sorbonne Université, Paris, France
| | - Tomáš Freiberger
- Centre for Cardiovascular Surgery and Transplantation, Brno, Czech Republic.,Ceitec and Medical Faculty, Masaryk University, Brno, London
| | | | - Joep C Defesche
- Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - C Lisa Kurtz
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
| | | | | | - Steve E Humphries
- Centre for Cardiovascular Genetics, University College of London, London, United Kingdom
| | - Pedro Mata
- Fundacion Hipercolesterolemia Familiar, Madrid, Spain
| | | | - Amanda J Hooper
- PathWest Laboratory Medicine, University of Western Australia, Perth, Australia
| | | | - Pascale Benlian
- CNRS, CHU Lille, UMR 8199 - Integrative Genomics and Metabolic Diseases Modeling, University of Lille, Lille, France
| | | | - John Garcia
- Invitae Corporation, San Francisco, California
| | - Hannah Wand
- Center for Inherited Cardiovascular Disease, Stanford University, Palo Alto, California
| | - Lukáš Tichy
- Center of Molecular Biology and Gene Therapy, University Hospital Brno, Brno, Czech Republic
| | - Eric J Sijbrands
- University Medical Center, Erasmus University, Rotterdam, Netherlands
| | - Robert A Hegele
- Robarts Research Institute, Western University, London, Ontario, Canada
| | - Mafalda Bourbon
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.,BioISI, University of Lisbon, Lisbon, Portugal
| | - Joshua W Knowles
- FH Foundation, Pasadena, California.,Center for Inherited Cardiovascular Disease, Stanford University, Palo Alto, California
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