Associated Papers
Spectrum of DNA Variants in Southwestern Ontario Patients with Familial Hypercholesterolemia.
Lordfard S et al.
Cjc Open, 2025
41542120 (PubMed )
Supplement: mmc1.pdf
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
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
Modelling a two-stage adult population screen for autosomal dominant familial hypercholesterolaemia: cross-sectional analysis within the UK Biobank.
Gratton J et al.
Bmj Public Health, 2023
40017868 (PubMed )
Supplement: bmjph-1-1-s001.pdf
Prevalence of FH-Causing Variants and Impact on LDL-C Concentration in European, South Asian, and African Ancestry Groups of the UK Biobank-Brief Report.
Gratton J et al.
Arteriosclerosis, Thrombosis, and Vascular Biology, 2023
37409534 (PubMed )
Supplement: atv-43-1737-s001.pdf
Additive Effect of APOE Rare Variants on the Phenotype of Familial Hypercholesterolemia.
Marmontel O et al.
Arteriosclerosis, Thrombosis, and Vascular Biology, 2023
A Machine Learning Model to Aid Detection of Familial Hypercholesterolemia.
Gratton J et al.
Jacc. Advances, 2023
38938233 (PubMed )
Supplement: mmc1.docx
Six years' experience with LipidSeq: clinical and research learnings from a hybrid, targeted sequencing panel for dyslipidemias.
Dron JS et al.
Bmc Medical Genomics, 2020
32041611 (PubMed )
Supplement: 12920_2020_669_MOESM1_ESM.xlsx › Supp_Table_4
Molecular Characterization of Familial Hypercholesterolemia in a North American Cohort.
Garg A et al.
Journal of the Endocrine Society, 2020
Select a paper to view details