Associated Papers
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
Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification.
Ryu J et al.
Medrxiv : the Preprint Server for Health Sciences, 2023
37732177 (PubMed )
Supplement: media-3.zip › Supplementary_Tables › TableS8_features_full_struc.xlsx › in
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
Clinical Evaluation of Patients with Genetically Confirmed Familial Hypercholesterolemia.
Aparicio A et al.
Journal of Clinical Medicine, 2023
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
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
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
Validation of LDLr Activity as a Tool to Improve Genetic Diagnosis of Familial Hypercholesterolemia: A Retrospective on Functional Characterization of LDLr Variants.
Benito-Vicente A et al.
International Journal of Molecular Sciences, 2018
Genetic diagnosis of familial hypercholesterolaemia using a rapid biochip array assay for 40 common LDLR, APOB and PCSK9 mutations.
Martin R et al.
Atherosclerosis, 2016
Development of a high-resolution melting method for mutation detection in familial hypercholesterolaemia patients.
Whittall RA et al.
Annals of Clinical Biochemistry, 2010
Evaluation of high-resolution melting analysis for screening the LDL receptor gene.
Laurie AD et al.
Clinical Biochemistry, 2009
Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases.
Ryu GM et al.
Nucleic Acids Research, 2009
19139070 (PubMed )
Supplement: gkn1008_nar-01723-s-2008-File009.xls › TypeI_
Multiplex MassARRAY spectrometry (iPLEX) produces a fast and economical test for 56 familial hypercholesterolaemia-causing mutations.
Wright WT et al.
Clinical Genetics, 2008
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