ArticleBlood advances2022
Synonymous ADAMTS13 variants impact molecular characteristics and contribute to variability in active protein abundance.
Article in Blood advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 3 citations in OpenAlex.
- Pharmacological readthrough and base editing forMolecular therapy. Nucleic acids · 2026Article
- SyMetrics: an integrated machine learning model for evaluating the pathogenicity of synonymous variants in the human genome.NAR genomics and bioinformatics · 2026Article
- Analysis of theGenes · 2025Article
- A Disintegrin and Metalloprotease with Thrombospondin Motif, Member 13, and Von Willebrand Factor in Relation to the Duality of Preeclampsia and HIV Infection.International journal of molecular sciences · 2025Review
- In silico methods for predicting functional synonymous variants.Genome biology · 2023Review
- Clinical Manifestations, Current and Future Therapy, and Long-Term Outcomes in Congenital Thrombotic Thrombocytopenic Purpura.Journal of clinical medicine · 2023Review
- Protocol to identify host-viral protein interactions between coagulation-related proteins and their genetic variants with SARS-CoV-2 proteins.STAR protocols · 2022Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The effects of synonymous single nucleotide variants (sSNVs) are often neglected because they do not alter protein primary structure. Nevertheless, there is growing evidence that synonymous variations may affect messenger RNA (mRNA) expression and protein conformation and activity, which may lead to protein deficiency and disease manifestations. Because there are >21 million possible sSNVs affecting the human genome, it is not feasible to experimentally validate the effect of each sSNV. Here, we report a comprehensive series of in silico analyses assessing sSNV impact on a specific gene. ADAMTS13 was chosen as a model for its large size, many previously reported sSNVs, and associated coagulopathy thrombotic thrombocytopenic purpura. Using various prediction tools of biomolecular characteristics, we evaluated all ADAMTS13 sSNVs registered in the National Center for Biotechnology Information database of single nucleotide polymorphisms, including 357 neutral sSNVs and 19 sSNVs identified in patients with thrombotic thrombocytopenic purpura. We showed that some sSNVs change mRNA-folding energy/stability, disrupt mRNA splicing, disturb microRNA-binding sites, and alter synonymous codon or codon pair usage. Our findings highlight the importance of considering sSNVs when assessing the complex effects of ADAMTS13 alleles, and our approach provides a generalizable framework to characterize sSNV impact in other genes and diseases.
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