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
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
A Machine Learning Model to Aid Detection of Familial Hypercholesterolemia.
Gratton J et al.
Jacc. Advances, 2023
38938233 (PubMed )
Supplement: mmc1.docx
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_2
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