Role of SNPs in the Biogenesis of Mature miRNAs

Biomed Res Int. 2021 Jun 17:2021:2403418. doi: 10.1155/2021/2403418. eCollection 2021.

Abstract

Single nucleotide polymorphisms (SNPs) play a significant role in microRNA (miRNA) generation, processing, and function and contribute to multiple phenotypes and diseases. Therefore, whole-genome analysis of how SNPs affect miRNA maturation mechanisms is important for precision medicine. The present study established an SNP-associated pre-miRNA (SNP-pre-miRNA) database, named miRSNPBase, and constructed SNP-pre-miRNA sequences. We also identified phenotypes and disease biomarker-associated isoform miRNA (isomiR) based on miRFind, which was developed in our previous study. We identified functional SNPs and isomiRs. We analyzed the biological characteristics of functional SNPs and isomiRs and studied their distribution in different ethnic groups using whole-genome analysis. Notably, we used individuals from Great Britain (GBR) as examples and identified isomiRs and isomiR-associated SNPs (iso-SNPs). We performed sequence alignments of isomiRs and miRNA sequencing data to verify the identified isomiRs and further revealed GBR ethnographic epigenetic dominant biomarkers. The SNP-pre-miRNA database consisted of 886 pre-miRNAs and 2640 SNPs. We analyzed the effects of SNP type, SNP location, and SNP-mediated free energy change during mature miRNA biogenesis and found that these factors were closely associated to mature miRNA biogenesis. Remarkably, 158 isomiRs were verified in the miRNA sequencing data for the 18 GBR samples. Our results indicated that SNPs affected the mature miRNA processing mechanism and contributed to the production of isomiRs. This mechanism may have important significance for epigenetic changes and diseases.

MeSH terms

  • Biomarkers / metabolism
  • Databases, Genetic
  • Epigenesis, Genetic
  • Gene Expression Profiling
  • Genome
  • Genome-Wide Association Study
  • Genotype
  • High-Throughput Nucleotide Sequencing
  • Humans
  • MicroRNAs / genetics*
  • Models, Genetic
  • Phenotype
  • Polymorphism, Single Nucleotide*

Substances

  • Biomarkers
  • MicroRNAs