Associated Papers
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
Assessing the genetic burden of familial hypercholesterolemia in a large middle eastern biobank.
Gandhi GD et al.
Journal of Translational Medicine, 2022
36329474 (PubMed )
Supplement: 12967_2022_3697_MOESM1_ESM.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
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
Systematic cell-based phenotyping of missense alleles empowers rare variant association studies: a case for LDLR and myocardial infarction.
Thormaehlen AS et al.
Plos Genetics, 2015
Achieving high-sensitivity for clinical applications using augmented exome sequencing.
Patwardhan A et al.
Genome Medicine, 2015
26269718 (PubMed )
Supplement: 13073_2015_197_MOESM8_ESM.xlsx › Sheet1
Select a paper to view details