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...

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Main Authors: Mohab Helmy, Andrea Hatlen, Antonio Marco
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
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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
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