Imperial College London

DrAbbasDehghan

Faculty of MedicineSchool of Public Health

Reader in Cardiometabolic Disease Epidemiology
 
 
 
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Contact

 

+44 (0)20 7594 3347a.dehghan CV

 
 
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Location

 

157Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Mustafa:2018:10.3390/ijms19113666,
author = {Mustafa, R and Ghanbari, M and Evangelou, M and Dehghan, A},
doi = {10.3390/ijms19113666},
journal = {International Journal of Molecular Sciences},
title = {An enrichment analysis for cardiometabolic traits suggests non-random assignment of genes to microRNAs},
url = {http://dx.doi.org/10.3390/ijms19113666},
volume = {19},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - MicroRNAs (miRNAs) regulate the expression of majority of genes. However, it is not known whether they regulate genes in random or are organized according to their function. To this end, we chose cardiometabolic disorders as an example and investigated whether genes associated with cardiometabolic disorders are regulated by a random set of miRNAs or a limited number of them. Single-nucleotide polymorphisms (SNPs) reaching genome-wide level significance were retrieved from most recent genome-wide association studies on cardiometabolic traits, which were cross-referenced with Ensembl to identify related genes and combined with miRNA target prediction databases (TargetScan, miRTarBase, or miRecords) to identify miRNAs that regulate them. We retrieved 520 SNPs, of which 355 were intragenic, corresponding to 304 genes. While we found a higher proportion of genes reported from all GWAS that were predicted targets for miRNAs in comparison to all protein coding genes (75.1%), the proportion was even higher for cardiometabolic genes (80.6%). Enrichment analysis was performed within each database. We found that cardiometabolic genes were over-represented in target genes for 29 miRNAs (based on TargetScan) and 3 miRNAs (miR-181a, miR-302d, and miR-372) (based on miRecords) after Benjamini-Hochberg correction for multiple testing. Our work provides evidence for non-random assignment of genes to miRNAs and supports the idea that miRNAs regulate sets of genes that are functionally related.
AU - Mustafa,R
AU - Ghanbari,M
AU - Evangelou,M
AU - Dehghan,A
DO - 10.3390/ijms19113666
PY - 2018///
SN - 1422-0067
TI - An enrichment analysis for cardiometabolic traits suggests non-random assignment of genes to microRNAs
T2 - International Journal of Molecular Sciences
UR - http://dx.doi.org/10.3390/ijms19113666
UR - http://hdl.handle.net/10044/1/66381
VL - 19
ER -