Associated Papers
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
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
Endophenotype effect sizes support variant pathogenicity in monogenic disease susceptibility genes.
Halford JL et al.
Nature Communications, 2022
36042188 (PubMed )
Supplement: 41467_2022_32009_MOESM4_ESM.xlsx › Supplementary_Data_1
Genetic polymorphisms associated with obesity in the Arab world: a systematic review.
Younes S et al.
International Journal of Obesity (2005), 2021
Recently reported familial hypercholesterolemia-related mutations from cases in the Middle East and North Africa region.
Awan ZA et al.
Current Opinion in Lipidology, 2019
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
In Silico Approach to Investigate the Structural and Functional Attributes of Familial Hypercholesterolemia Variants Reported in the Saudi Population.
Morad FA et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology, 2018
Multiplex MassARRAY spectrometry (iPLEX) produces a fast and economical test for 56 familial hypercholesterolaemia-causing mutations.
Wright WT et al.
Clinical Genetics, 2008
What is the clinical utility of DNA testing in patients with familial hypercholesterolaemia?
Humphries SE et al.
Current Opinion in Lipidology, 2008
Update and analysis of the University College London low density lipoprotein receptor familial hypercholesterolemia database.
Leigh SE et al.
Annals of Human Genetics, 2008
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
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