Varaico: Literature-Extracted Genetic Variants

Gene:LDLR
Variant:p.R78C
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LDLR

NM_000527.5:p.R78C

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-2.xlsx › SuppTable2

Domain mapping of disease mutations reveals pathogenic SORL1 variants in Alzheimer's disease.

Andersen OM et al.

Molecular Neurodegeneration, 2025

41327266 (PubMed )
Supplement: 13024_2025_907_MOESM2_ESM.pdf

Population Genomic Screening and Improved Lipid Management in Patients With Familial Hypercholesterolemia.

Levy ME et al.

Circulation. Genomic and Precision Medicine, 2025

41190428 (PubMed )
Supplement: hcg-18-e005206-s002.xlsx › LDLR

Large-Scale Functional Characterization of Low-Density Lipoprotein Receptor Gene Variants Improves Risk Assessment in Cardiovascular Disease.

Islam MM et al.

Jacc. Basic to Translational Science, 2025

40131152 (PubMed )
Supplement: mmc1.pdf

Genomic Drivers of Coronary Artery Disease and Risk of Future Outcomes After Coronary Angiography.

Supriami K et al.

Jama Network Open, 2025

39836422 (PubMed )
Supplement: jamanetwopen-e2455368-s001.pdf

Tracking updates in clinical databases increases efficiency for variant reanalysis.

Li L et al.

Genetics in Medicine Open, 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

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

Secondary genomic findings in the 2020 China Neonatal Genomes Project participants.

Xiao H et al.

World Journal of Pediatrics : Wjp, 2022

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

Familial Hypercholesterolemia in a Healthy Elderly Population.

Lacaze P et al.

Circulation. Genomic and Precision Medicine, 2020

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

Spectrum of mutations in index patients with familial hypercholesterolemia in Singapore: Single center study.

Pek SLT et al.

Atherosclerosis, 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

Targeted genetic testing for familial hypercholesterolaemia using next generation sequencing: a population-based study.

Norsworthy PJ et al.

Bmc Medical Genetics, 2014

Genomic characterization of two deletions in the LDLR gene in Tunisian patients with familial hypercholesterolemia.

Jelassi A et al.

Clinica Chimica Acta; International Journal of Clinical Chemistry, 2012

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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Regarding the variants extracted from papers and shown text snippets from research papers, the following holds: "Some rights reserved. This work permits non-commercial use, distribution and reproduction in any medium, provided the original author and source are credited."