Article: In silico analysis of upstream variants in Brazilian patients with Familial Hypercholesterolemia
2022
Abstract: 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 ... ...
| Abstract | 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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| Keywords | chronic exposure ; computer simulation ; death ; genes ; genetic disorders ; hypercholesterolemia ; low density lipoprotein cholesterol ; phenotype ; prediction ; repressor proteins ; risk |
| Language | English |
| Dates of publication | 2022-0919 |
| Publishing place | Elsevier B.V. |
| Document type | Article |
| Note | Pre-press version |
| ZDB-ID | 391792-7 |
| ISSN | 1879-0038 ; 0378-1119 |
| ISSN (online) | 1879-0038 |
| ISSN | 0378-1119 |
| DOI | 10.1016/j.gene.2022.146908 |
| Database | NAL-Catalogue (AGRICOLA) |
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