Varaico: Literature-Extracted Genetic Variants

Gene:LDLR
Variant:p.I687_N688insFs
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LDLR

NM_000527.5:p.I687_N688insFs

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

Feasibility of Targeted Next-Generation DNA Sequencing for Expanding Population Newborn Screening.

Shum BOV et al.

Clinical Chemistry, 2023

A Machine Learning Model to Aid Detection of Familial Hypercholesterolemia.

Gratton J et al.

Jacc. Advances, 2023

38938233 (PubMed )
Supplement: mmc1.docx

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

Exome sequencing and characterization of 49,960 individuals in the UK Biobank.

Van Hout CV et al.

Nature, 2020

33087929 (PubMed )
Supplement: 41586_2020_2853_MOESM11_ESM.xlsx › Sheet1

Frequency of genomic secondary findings among 21,915 eMERGE network participants.

Unknown Author

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020

32546831 (PubMed )
Supplement: NIHMS1615423-supplement-Supplementary_Table_2.xlsx › Sheet1

Quantifying the polygenic contribution to variable expressivity in eleven rare genetic disorders.

Oetjens MT et al.

Nature Communications, 2019

31653860 (PubMed )
Supplement: 41467_2019_12869_MOESM3_ESM.xlsx › Testing_Cohort_Variants

Genetic identification of familial hypercholesterolemia within a single U.S. health care system.

Abul-Husn NS et al.

Science (new York, N.y.), 2016

28008010 (PubMed )
Supplement: aaf7000-abul-husn-sm.pdf

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

Individualized iterative phenotyping for genome-wide analysis of loss-of-function mutations.

Johnston JJ et al.

American Journal of Human Genetics, 2015

The use of next-generation sequencing in clinical diagnosis of familial hypercholesterolemia.

Vandrovcova J et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2013

Detection of variations and identifying genomic breakpoints for large deletions in the LDLR by Ion Torrent semiconductor sequencing.

Faiz F et al.

Atherosclerosis, 2013

Evaluation of high-resolution melting analysis for screening the LDL receptor gene.

Laurie AD et al.

Clinical Biochemistry, 2009

Multiplex MassARRAY spectrometry (iPLEX) produces a fast and economical test for 56 familial hypercholesterolaemia-causing mutations.

Wright WT et al.

Clinical Genetics, 2008

Vascular calcifications in homozygote familial hypercholesterolemia.

Awan Z et al.

Arteriosclerosis, Thrombosis, and Vascular Biology, 2008

Mutational analysis in UK patients with a clinical diagnosis of familial hypercholesterolaemia: relationship with plasma lipid traits, heart disease risk and utility in relative tracing.

Humphries SE et al.

Journal of Molecular Medicine (berlin, Germany), 2006

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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."