Associated Papers
LDLR variant classification through activity-normalized prime editing screening.
Zhou PJ et al.
Biorxiv : the Preprint Server for Biology, 2025
41473288 (PubMed )
Supplement: media-1.xlsx › SuppTable1
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
Identification of pathogenic variants in the Brazilian cohort with Familial hypercholesterolemia using exon-targeted gene sequencing.
Borges JB et al.
Gene, 2023
Low-density lipoprotein receptor genotypes modify the sera metabolome of patients with homozygous familial hypercholesterolemia.
Du Z et al.
Iscience, 2022
36325061 (PubMed )
Supplement: mmc2.xlsx › Table_S1
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
Detection of variations and identifying genomic breakpoints for large deletions in the LDLR by Ion Torrent semiconductor sequencing.
Faiz F et al.
Atherosclerosis, 2013
Genetic analysis of familial hypercholesterolaemia in Western Australia.
Hooper AJ et al.
Atherosclerosis, 2012
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