Associated Papers
LDLR variant classification through activity-normalized prime editing screening.
Zhou PJ et al.
Biorxiv : the Preprint Server for Biology, 2025
41473288 (PubMed )
Supplement: media-2.xlsx › SuppTable2
Current Status and Clinical Characteristics of Familial Hypercholesterolemia Patients in Korea: A Multicenter, Real-World Experience.
Kim KA et al.
Diagnostics (basel, Switzerland), 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
40131152 (PubMed )
Supplement: mmc1.pdf
Enhancing Familial Hypercholesterolemia Detection in South Korea: A Targeted Screening Approach Integrating National Program and Genetic Cascade Screening.
Yang JH et al.
Korean Circulation Journal, 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
38258479 (PubMed )
Supplement: ADVS-11-2305177-s001.pdf
2022 Consensus statement on the management of familial hypercholesterolemia in Korea.
Lee CJ et al.
The Korean Journal of Internal Medicine, 2022
Phenotypic and Genetic Analyses of Korean Patients with Familial Hypercholesterolemia: Results from the KFH Registry 2020.
Kim H et al.
Journal of Atherosclerosis and Thrombosis, 2022
Effects of Different Types of Pathogenic Variants on Phenotypes of Familial Hypercholesterolemia.
Tada H et al.
Frontiers in Genetics, 2022
35480308 (PubMed )
Supplement: Presentation1.pdf
Molecular modeling of LDLR aids interpretation of genomic variants.
Klee EW et al.
Journal of Molecular Medicine (berlin, Germany), 2019
30778614 (PubMed )
Supplement: 109_2019_1755_MOESM1_ESM.xlsx › TableS1
Lipoprotein metabolism in familial hypercholesterolemia: Serial assessment using a one-step ultracentrifugation method.
Tada H et al.
Practical Laboratory Medicine, 2015
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