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
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
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
Development of a high-resolution melting method for mutation detection in familial hypercholesterolaemia patients.
Whittall RA et al.
Annals of Clinical Biochemistry, 2010
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