miRnomics Atlas
Genetic regulation of microRNAs
Genetic variants could influence the transcription and function of miRNAs, which may affect miRNA-mediated gene regulation and lead to phenotypes and diseases. Integration of genomics and miRNAs data enables interrogation of the genetic architecture of miRNAs, revealing their clinical importance, and providing valuable resources for future studies on clinical significance of miRNAs in human disease. Here we present the results of our genome-wide association studies on >2000 circulating miRNAs in plasma measured by RNA-sequencing in the Rotterdam Study. We report both cis and trans miRNA-expression quantitative trait loci (miRNA-eQTLs) at the nominal significance level (p-value < 0.05) and those that have been replicated across two independent cohorts (see Ref). The consequences of perturbation in miRNA transcription on a wide range of clinical conditions are systematically investigated in phenome-wide association studies, with their causality tested using Mendelian randomization in the UK Biobank. Moreover, we found several miRNA-eQTLs overlaping with gene expression, protein, and metabolite-QTLs and with disease-associated variants reported in previous GWAS studies (see the disease association and omics integration parts).
SNP
Search all data using a SNP ID
Locus
Search all data using a chromosome position
Cis-eQTL
Search for 1000 top cis-miRNA-eQTLs
DataBase
Download

Download Description
The full summary statistics of GWAS on plasma levels of 2083 miRNAs in the population-based Rotterdam Study cohort (n=2,178 participants) as well as replication results in two independent cohorts will be released publicly available soon (see Ref). The current data frame includes of SNPs associated with miRNAs at p-value< 1E-5 after filtering SNPs with Rsq >0.7 and minor allele frequency (MAF) >0.05 (in total 131,677 rows).
You can download the cis-eQTL, trans-eQTL, or all-eQTL data as well as replication results in two independent cohorts from the links which will be provided on this website soon.
Citation
If you use the data on this website, please cite our paper: Mustafa R., (…), Ghanbari , M.; 2022; An atlas of genetic regulation and disease associations of microRNAs. medRxiv 2022.11.10.22282180
Contact
For questions, bug reports, or requests, please contact Mohsen Ghanbari (m.ghanbari@erasmusmc.nl) or Rima Mustafa (r.mustafa@imperial.ac.uk)
Follow US
on These Social Media or Websites