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
Medically Actionable Secondary Findings from Whole-Exome Sequencing (WES) Data in a Sample of 3972 Individuals.
Melo M et al.
International Journal of Molecular Sciences, 2025
40332002 (PubMed )
Supplement: ijms-26-03509-s001.zip › Table_S1._Medically_ACMG_actionable_findings_and_carrier_status_identified_in_our_study.xlsx › Allele_frequencies
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
High-Throughput Microscopy Characterization of Rare LDLR Variants.
Graça R et al.
Jacc. Basic to Translational Science, 2023
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
Functional profiling of LDLR variants: Important evidence for variant classification: Functional profiling of LDLR variants.
Graça R et al.
Journal of Clinical Lipidology, 0
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