Associated Papers
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
Exome sequencing and characterization of 49,960 individuals in the UK Biobank.
Van Hout CV et al.
Nature, 2020
33087929 (PubMed )
Supplement: 41586_2020_2853_MOESM11_ESM.xlsx › Sheet1
Mutation type classification and pathogenicity assignment of sixteen missense variants located in the EGF-precursor homology domain of the LDLR.
Galicia-Garcia U et al.
Scientific Reports, 2020
32015373 (PubMed )
Supplement: 41598_2020_58734_MOESM1_ESM.pdf
Genome-wide rare variant analysis for thousands of phenotypes in over 70,000 exomes from two cohorts.
Cirulli ET et al.
Nature Communications, 2020
31992710 (PubMed )
Supplement: 41467_2020_14288_MOESM1_ESM.pdf
Molecular spectrum of autosomal dominant hypercholesterolemia in France.
Marduel M et al.
Human Mutation, 2010
Genetic and polygenic contributions to familial hypercholesterolemia in Thailand: Implications for diagnosis and lipid management.
Pasookhush P et al.
Journal of Clinical Lipidology, 0
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