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
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
Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification.
Ryu J et al.
Medrxiv : the Preprint Server for Health Sciences, 2023
37732177 (PubMed )
Supplement: media-3.zip › Supplementary_Tables › TableS7_tiling_screen.xlsx › TableSX_tiling_screen
Genetic Analysis in a Taiwanese Cohort of 750 Index Patients with Clinically Diagnosed Familial Hypercholesterolemia.
Huang CC et al.
Journal of Atherosclerosis and Thrombosis, 2022
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
The distribution and characteristics of LDL receptor mutations in China: A systematic review.
Jiang L et al.
Scientific Reports, 2015
Array-based resequencing for mutations causing familial hypercholesterolemia.
Chiou KR et al.
Atherosclerosis, 2011
Molecular spectrum of autosomal dominant hypercholesterolemia in France.
Marduel M et al.
Human Mutation, 2010
Detection of common sequence variations of familial hypercholesterolemia in Taiwan using DNA mass spectrometry.
Chiou KR et al.
Journal of Clinical Lipidology, 0
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