Associated Papers
Genome-first evaluation with exome sequence and clinical data uncovers underdiagnosed genetic disorders in a large healthcare system.
Forrest IS et al.
Cell Reports. Medicine, 2024
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
A Machine Learning Model to Aid Detection of Familial Hypercholesterolemia.
Gratton J et al.
Jacc. Advances, 2023
38938233 (PubMed )
Supplement: mmc1.docx
Harmonizing variant classification for return of results in the All of Us Research Program.
Harrison SM et al.
Human Mutation, 2022
34923710 (PubMed )
Supplement: HUMU-43-1114-s002.xlsx › Supplemental_Table_1
Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.
Goodrich JK et al.
Nature Communications, 2021
34108472 (PubMed )
Supplement: 41467_2021_23556_MOESM3_ESM.xlsx › Supp_Data_2
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 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
Multiplex ARMS analysis to detect 13 common mutations in familial hypercholesterolaemia.
Taylor A et al.
Clinical Genetics, 2007
Genetic testing for familial hypercholesterolemia in Quebec, Canada: a single-centre retrospective cohort study.
Guerin A et al.
Cmaj Open, 0
37607748 (PubMed )
Supplement: open-2022-0108-2-at.pdf
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