The Impact of Population Variation in the Analysis of microRNA Target Sites
The impact of population variation in the analysis of regulatory interactions is an underdeveloped area. MicroRNA target recognition occurs via pairwise complementarity. Consequently, a number of computational prediction tools have been developed to identify potential target sites that can be furthe...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Non-Coding RNA |
Subjects: | |
Online Access: | https://www.mdpi.com/2311-553X/5/2/42 |
id |
doaj-f5f979a2e47242a2a231a076c20e9399 |
---|---|
record_format |
Article |
spelling |
doaj-f5f979a2e47242a2a231a076c20e93992020-11-24T23:53:28ZengMDPI AGNon-Coding RNA2311-553X2019-06-01524210.3390/ncrna5020042ncrna5020042The Impact of Population Variation in the Analysis of microRNA Target SitesMohab Helmy0Andrea Hatlen1Antonio Marco2School of Biological Sciences, University of Essex, Colchester CO4 3SQ, UKSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, UKSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, UKThe impact of population variation in the analysis of regulatory interactions is an underdeveloped area. MicroRNA target recognition occurs via pairwise complementarity. Consequently, a number of computational prediction tools have been developed to identify potential target sites that can be further validated experimentally. However, as microRNA target predictions are done mostly considering a reference genome sequence, target sites showing variation among populations are neglected. Here, we studied the variation at microRNA target sites in human populations and quantified their impact in microRNA target prediction. We found that African populations carry a significant number of potential microRNA target sites that are not detectable in the current human reference genome sequence. Some of these targets are conserved in primates and only lost in Out-of-Africa populations. Indeed, we identified experimentally validated microRNA/transcript interactions that are not detected in standard microRNA target prediction programs, yet they have segregating target alleles abundant in non-European populations. In conclusion, we show that ignoring population diversity may leave out regulatory elements essential to understand disease and gene expression, particularly neglecting populations of African origin.https://www.mdpi.com/2311-553X/5/2/42miRNAshuman populationsgene regulationmicroRNA target predictionevolution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohab Helmy Andrea Hatlen Antonio Marco |
spellingShingle |
Mohab Helmy Andrea Hatlen Antonio Marco The Impact of Population Variation in the Analysis of microRNA Target Sites Non-Coding RNA miRNAs human populations gene regulation microRNA target prediction evolution |
author_facet |
Mohab Helmy Andrea Hatlen Antonio Marco |
author_sort |
Mohab Helmy |
title |
The Impact of Population Variation in the Analysis of microRNA Target Sites |
title_short |
The Impact of Population Variation in the Analysis of microRNA Target Sites |
title_full |
The Impact of Population Variation in the Analysis of microRNA Target Sites |
title_fullStr |
The Impact of Population Variation in the Analysis of microRNA Target Sites |
title_full_unstemmed |
The Impact of Population Variation in the Analysis of microRNA Target Sites |
title_sort |
impact of population variation in the analysis of microrna target sites |
publisher |
MDPI AG |
series |
Non-Coding RNA |
issn |
2311-553X |
publishDate |
2019-06-01 |
description |
The impact of population variation in the analysis of regulatory interactions is an underdeveloped area. MicroRNA target recognition occurs via pairwise complementarity. Consequently, a number of computational prediction tools have been developed to identify potential target sites that can be further validated experimentally. However, as microRNA target predictions are done mostly considering a reference genome sequence, target sites showing variation among populations are neglected. Here, we studied the variation at microRNA target sites in human populations and quantified their impact in microRNA target prediction. We found that African populations carry a significant number of potential microRNA target sites that are not detectable in the current human reference genome sequence. Some of these targets are conserved in primates and only lost in Out-of-Africa populations. Indeed, we identified experimentally validated microRNA/transcript interactions that are not detected in standard microRNA target prediction programs, yet they have segregating target alleles abundant in non-European populations. In conclusion, we show that ignoring population diversity may leave out regulatory elements essential to understand disease and gene expression, particularly neglecting populations of African origin. |
topic |
miRNAs human populations gene regulation microRNA target prediction evolution |
url |
https://www.mdpi.com/2311-553X/5/2/42 |
work_keys_str_mv |
AT mohabhelmy theimpactofpopulationvariationintheanalysisofmicrornatargetsites AT andreahatlen theimpactofpopulationvariationintheanalysisofmicrornatargetsites AT antoniomarco theimpactofpopulationvariationintheanalysisofmicrornatargetsites AT mohabhelmy impactofpopulationvariationintheanalysisofmicrornatargetsites AT andreahatlen impactofpopulationvariationintheanalysisofmicrornatargetsites AT antoniomarco impactofpopulationvariationintheanalysisofmicrornatargetsites |
_version_ |
1725469548906283008 |