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In silico analysis of upstream variants in Brazilian patients with Familial hypercholesterolemia.
de Araújo, Jéssica Nayara Góes; de Oliveira, Victor Fernandes; Borges, Jéssica Bassani; Dagli-Hernandez, Carolina; Marçal, Elisangela da Silva Rodrigues; Freitas, Renata Caroline Costa de; Bastos, Gisele Medeiros; Gonçalves, Rodrigo Marques; Faludi, André Arpad; Jannes, Cinthia Elim; Pereira, Alexandre da Costa; Hirata, Rosario Dominguez Crespo; Hirata, Mario Hiroyuki; Luchessi, André Ducati; Silbiger, Vivian Nogueira.
Afiliação
  • de Araújo JNG; Northeast Biotechnology Network (RENORBIO), Graduate Program in Biotechnology, Federal University of Rio Grande do Norte, Natal 59078-900, Brazil.
  • de Oliveira VF; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil.
  • Borges JB; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; Laboratory of Molecular Research in Cardiology, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil.
  • Dagli-Hernandez C; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil.
  • Marçal EDSR; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil.
  • Freitas RCC; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil.
  • Bastos GM; Laboratory of Molecular Research in Cardiology, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil; Medical Clinic Division, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil.
  • Gonçalves RM; Medical Clinic Division, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil.
  • Faludi AA; Medical Clinic Division, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil.
  • Jannes CE; Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of Sao, Paulo 05403-900, Brazil.
  • Pereira ADC; Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of Sao, Paulo 05403-900, Brazil.
  • Hirata RDC; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil.
  • Hirata MH; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil.
  • Luchessi AD; Northeast Biotechnology Network (RENORBIO), Graduate Program in Biotechnology, Federal University of Rio Grande do Norte, Natal 59078-900, Brazil; Department of Clinical and Toxicological Analyses, Federal University of Rio Grande do Norte, Natal 59012-570, Brazil.
  • Silbiger VN; Northeast Biotechnology Network (RENORBIO), Graduate Program in Biotechnology, Federal University of Rio Grande do Norte, Natal 59078-900, Brazil; Department of Clinical and Toxicological Analyses, Federal University of Rio Grande do Norte, Natal 59012-570, Brazil. Electronic address: vivian.silbige
Gene ; 849: 146908, 2023 Jan 15.
Article em En | MEDLINE | ID: mdl-36167182
Familial hypercholesterolemia (FH) is a prevalent autosomal genetic disease associated with increased risk of early cardiovascular events and death due to chronic exposure to very high levels of low-density lipoprotein cholesterol (LDL-c). Pathogenic variants in the coding regions of LDLR, APOB and PCSK9 account for most FH cases, and variants in non-coding regions maybe involved in FH as well. Variants in the upstream region of LDLR, APOB and PCSK9 were screened by targeted next-generation sequencing and their effects were explored using in silico tools. Twenty-five patients without pathogenic variants in FH-related genes were selected. 3 kb upstream regions of LDLR, APOB and PCSK9 were sequenced using the AmpliSeq (Illumina) and Miseq Reagent Nano Kit v2 (Illumina). Sequencing data were analyzed using variant discovery and functional annotation tools. Potentially regulatory variants were selected by integrating data from public databases, published data and context-dependent regulatory prediction score. Thirty-four single nucleotide variants (SNVs) in upstream regions were identified (6 in LDLR, 15 in APOB, and 13 in PCSK9). Five SNVs were prioritized as potentially regulatory variants (rs934197, rs9282606, rs36218923, rs538300761, g.55038486A > G). APOB rs934197 was previously associated with increased rate of transcription, which in silico analysis suggests that could be due to reducing binding affinity of a transcriptional repressor. Our findings highlight the importance of variant screening outside of coding regions of all relevant genes. Further functional studies are necessary to confirm that prioritized variants could impact gene regulation and contribute to the FH phenotype.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pró-Proteína Convertase 9 / Hiperlipoproteinemia Tipo II Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Gene Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pró-Proteína Convertase 9 / Hiperlipoproteinemia Tipo II Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Gene Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil