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
Population Genomic Screening and Improved Lipid Management in Patients With Familial Hypercholesterolemia.
Levy ME et al.
Circulation. Genomic and Precision Medicine, 2025
41190428 (PubMed )
Supplement: hcg-18-e005206-s002.xlsx › LDLR
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
38879446 (PubMed )
Supplement: JAH3-13-e034434-s001.pdf
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 › TableS8_features_full_struc.xlsx › in
SNPs: impact on gene function and phenotype.
Shastry BS
Methods in Molecular Biology (clifton, N.j.), 2009
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