Associated Papers
Domain mapping of disease mutations reveals pathogenic SORL1 variants in Alzheimer's disease.
Andersen OM et al.
Molecular Neurodegeneration, 2025
Large-Scale Functional Characterization of Low-Density Lipoprotein Receptor Gene Variants Improves Risk Assessment in Cardiovascular Disease.
Islam MM et al.
Jacc. Basic to Translational Science, 2025
Familial hypercholesterolemia in Chinese children and adolescents: a multicenter study.
Huang MN et al.
Lipids in Health and Disease, 2024
Improving the Detection of Potential Cases of Familial Hypercholesterolemia: Could Machine Learning Be Part of the Solution?
Stevens CAT et al.
Journal of the American Heart Association, 2024
OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues.
Larrea-Sebal A et al.
Advanced Science (weinheim, Baden-wurttemberg, Germany), 2024
Searching for new genes associated with the familial hypercholesterolemia phenotype using whole-genome sequencing and machine learning.
Ivanoshchuk DE et al.
Vavilovskii Zhurnal Genetiki I Selektsii, 2023
Association of the Interaction Between Familial Hypercholesterolemia Variants and Adherence to a Healthy Lifestyle With Risk of Coronary Artery Disease.
Fahed AC et al.
Jama Network Open, 2022
Limited-Variant Screening vs Comprehensive Genetic Testing for Familial Hypercholesterolemia Diagnosis.
Sturm AC et al.
Jama Cardiology, 2021
Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.
Goodrich JK et al.
Nature Communications, 2021
Exome sequencing and characterization of 49,960 individuals in the UK Biobank.
Van Hout CV et al.
Nature, 2020
Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions.
Fahed AC et al.
Nature Communications, 2020
Genome-wide rare variant analysis for thousands of phenotypes in over 70,000 exomes from two cohorts.
Cirulli ET et al.
Nature Communications, 2020
Molecular modeling of LDLR aids interpretation of genomic variants.
Klee EW et al.
Journal of Molecular Medicine (berlin, Germany), 2019
Would raising the total cholesterol diagnostic cut-off from 7.5 mmol/L to 9.3 mmol/L improve detection rate of patients with monogenic familial hypercholesterolaemia?
Futema M et al.
Atherosclerosis, 2015
The use of next-generation sequencing in clinical diagnosis of familial hypercholesterolemia.
Vandrovcova J et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2013
Development of a high-resolution melting method for mutation detection in familial hypercholesterolaemia patients.
Whittall RA et al.
Annals of Clinical Biochemistry, 2010
Multiplex ARMS analysis to detect 13 common mutations in familial hypercholesterolaemia.
Taylor A et al.
Clinical Genetics, 2007
Mutation scanning by meltMADGE: validations using BRCA1 and LDLR, and demonstration of the potential to identify severe, moderate, silent, rare, and paucimorphic mutations in the general population.
Alharbi KK et al.
Genome Research, 2005
Combination of His-tagged T4 endonuclease VII with microplate array diagonal gel electrophoresis for high-throughput mutation scanning.
Smith MJ et al.
Clinical Chemistry, 2005
Familial defective apolipoprotein B-100 (R3500Q) in Northern Ireland.
McClean E et al.
British Journal of Biomedical Science, 1999