5 results on '"Magdalena Zimon"'
Search Results
2. Functional profiling of LDLR variants: Important evidence for variant classification: Functional profiling of LDLR variants
- Author
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Rafael, Graça, Ana Catarina, Alves, Magdalena, Zimon, Rainer, Pepperkok, and Mafalda, Bourbon
- Subjects
Hyperlipoproteinemia Type II ,Cricetulus ,Phenotype ,Receptors, LDL ,Cricetinae ,Mutation ,Mutation, Missense ,Animals ,Humans ,CHO Cells - Abstract
Familial Hypercholesterolemia (FH) is a semidominant disorder of the lipid metabolism associated with premature atherosclerosis and coronary heart disease. So far, about 3,000 unique LDLR variants have been described, most of which lack functional evidence proving their effect on LDLR function, despite the important role that functional studies play in variant classification.In this work, we aimed to functionally characterize 13 rare missense variants, identified worldwide and in Portugal, in clinical FH patients.LDLR-deficient CHO-ldlA7 cells were transfected with plasmids carrying different LDLR variants generated by site-directed mutagenesis. LDLR activity and expression were assessed by FACS.11/13 variants affect LDLR function (p.Cys109Phe; p.Cys143Arg; p.Glu267Lys; p.Cys352Ser; p.Ile451Thr; p.His485Gln; p.Asp492Asn; p.Val500Ala; p.Gly529Arg; p.Phe614Ile; p.Glu626Lys) and 2/13 are inconclusive (p.Arg81Cys; p.Gly98Arg;).Of the 13 variants studied, 8 were classified as VUS by ACMG criteria, but for 7 of these 8, our functional studies were able to reassign them as Likely pathogenic or Pathogenic. For an accurate diagnosis, an effort must be made to improve functional characterization of putative disease-causing variants.
- Published
- 2021
3. Pairwise effects between lipid GWAS genes modulate lipid plasma levels and cellular uptake
- Author
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Rainer Pepperkok, Ellen A. Tsai, Anthi Trasta, Jimmy Z. Liu, Magdalena Zimon, Bernd Klaus, Heiko Runz, Aliaksandr Halavatyi, David Sexton, Peter Blattmann, Wolfgang Huber, Sally John, Christopher D. Whelan, Chia-Yen Chen, and Yunfeng Huang
- Subjects
Science ,General Physics and Astronomy ,Genome-wide association study ,Computational biology ,Biology ,Article ,General Biochemistry, Genetics and Molecular Biology ,Apolipoproteins E ,Mitochondrial Precursor Protein Import Complex Proteins ,Humans ,Gene ,Exome ,Exome sequencing ,Apolipoproteins B ,Genetic association ,Multidisciplinary ,General Chemistry ,Phenotype ,Human genetics ,Adaptor Proteins, Vesicular Transport ,Lipoprotein Lipase ,RNAi ,Epistasis ,Proprotein Convertase 9 ,Neurocan ,Genome-Wide Association Study - Abstract
Complex traits are characterized by multiple genes and variants acting simultaneously on a phenotype. However, studying the contribution of individual pairs of genes to complex traits has been challenging since human genetics necessitates very large population sizes, while findings from model systems do not always translate to humans. Here, we combine genetics with combinatorial RNAi (coRNAi) to systematically test for pairwise additive effects (AEs) and genetic interactions (GIs) between 30 lipid genome-wide association studies (GWAS) genes. Gene-based burden tests from 240,970 exomes show that in carriers with truncating mutations in both, APOB and either PCSK9 or LPL (“human double knock-outs”) plasma lipid levels change additively. Genetics and coRNAi identify overlapping AEs for 12 additional gene pairs. Overlapping GIs are observed for TOMM40/APOE with SORT1 and NCAN. Our study identifies distinct gene pairs that modulate plasma and cellular lipid levels primarily via AEs and nominates putative drug target pairs for improved lipid-lowering combination therapies., Studying the contribution of pairs of genes to complex traits has been challenging. Here, the authors combine exome and genotype data with RNAi to screen for genetic interactions between 30 genes identified in lipid GWAS to hint at pairs whose joint modulation may improve lipid-lowering therapies.
- Published
- 2021
- Full Text
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4. Pairwise genetic interactions modulate lipid plasma levels and cellular uptake
- Author
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Christopher D. Whelan, Jimmy Z. Liu, Magdalena Zimon, Yunfeng Huang, Bernd Klaus, Peter Blattmann, Ellen A. Tsai, Wolfgang Huber, Anthi Trasta, David Sexton, Aliaksandr Halavatyi, Heiko Runz, Chia-Yen Chen, Rainer Pepperkok, and Sally John
- Subjects
Locus (genetics) ,Genome-wide association study ,Computational biology ,Biology ,Gene ,Phenotype ,Genotyping ,Human genetics ,Genetic architecture ,Exome sequencing - Abstract
SUMMARYGenetic interactions (GIs), the joint impact of different genes or variants on a phenotype, are foundational to the genetic architecture of complex traits. However, identifying GIs through human genetics is challenging since it necessitates very large population sizes, while findings from model systems not always translate to humans. Here, we combined exome-sequencing and genotyping in the UK Biobank with combinatorial RNA-interference (coRNAi) screening to systematically test for pairwise GIs between 30 lipid GWAS genes. Gene-based protein-truncating variant (PTV) burden analyses from 240,970 exomes revealed additive GIs for APOB with PCSK9 and LPL, respectively. Both, genetics and coRNAi identified additive GIs for 12 additional gene pairs. Overlapping non-additive GIs were detected only for TOMM40 at the APOE locus with SORT1 and NCAN. Our study identifies distinct gene pairs that modulate both, plasma and cellular lipid levels via additive and non-additive effects and nominates drug target pairs for improved lipid-lowering combination therapies.
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- 2020
- Full Text
- View/download PDF
5. Truncating and missense mutations in IGHMBP2 cause Charcot-Marie Tooth disease type 2
- Author
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Ellen, Cottenie, Andrzej, Kochanski, Albena, Jordanova, Boglarka, Bansagi, Magdalena, Zimon, Alejandro, Horga, Zane, Jaunmuktane, Paola, Saveri, Vedrana Milic, Rasic, Jonathan, Baets, Marina, Bartsakoulia, Rafal, Ploski, Pawel, Teterycz, Milos, Nikolic, Ros, Quinlivan, Matilde, Laura, Mary G, Sweeney, Franco, Taroni, Michael P, Lunn, Isabella, Moroni, Michael, Gonzalez, Michael G, Hanna, Conceicao, Bettencourt, Elodie, Chabrol, Andre, Franke, Katja, von Au, Markus, Schilhabel, Dagmara, Kabzińska, Irena, Hausmanowa-Petrusewicz, Sebastian, Brandner, Siew Choo, Lim, Haiwei, Song, Byung-Ok, Choi, Rita, Horvath, Ki-Wha, Chung, Stephan, Zuchner, Davide, Pareyson, Matthew, Harms, Mary M, Reilly, and Henry, Houlden
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Adult ,Models, Molecular ,Base Sequence ,Molecular Sequence Data ,Mutation, Missense ,Chromosome Mapping ,Sequence Analysis, DNA ,Pedigree ,Phenotype ,Haplotypes ,Sural Nerve ,Charcot-Marie-Tooth Disease ,Report ,Protein Interaction Mapping ,Humans ,Exome ,Female - Abstract
Using a combination of exome sequencing and linkage analysis, we investigated an English family with two affected siblings in their 40s with recessive Charcot-Marie Tooth disease type 2 (CMT2). Compound heterozygous mutations in the immunoglobulin-helicase-μ-binding protein 2 (IGHMBP2) gene were identified. Further sequencing revealed a total of 11 CMT2 families with recessively inherited IGHMBP2 gene mutations. IGHMBP2 mutations usually lead to spinal muscular atrophy with respiratory distress type 1 (SMARD1), where most infants die before 1 year of age. The individuals with CMT2 described here, have slowly progressive weakness, wasting and sensory loss, with an axonal neuropathy typical of CMT2, but no significant respiratory compromise. Segregating IGHMBP2 mutations in CMT2 were mainly loss-of-function nonsense in the 5′ region of the gene in combination with a truncating frameshift, missense, or homozygous frameshift mutations in the last exon. Mutations in CMT2 were predicted to be less aggressive as compared to those in SMARD1, and fibroblast and lymphoblast studies indicate that the IGHMBP2 protein levels are significantly higher in CMT2 than SMARD1, but lower than controls, suggesting that the clinical phenotype differences are related to the IGHMBP2 protein levels.
- Published
- 2014
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