Literature DB >> 27397105

MicroRNA Genetic Variation: From Population Analysis to Functional Implications of Three Allele Variants Associated with Cancer.

Ignasi Torruella-Loran1, Hafid Laayouni1,2, Begoña Dobon1, Alicia Gallego1, Ingrid Balcells1, Eva Garcia-Ramallo1, Yolanda Espinosa-Parrilla3,4.   

Abstract

Nucleotide variants in microRNA regions have been associated with disease; nevertheless, few studies still have addressed the allele-dependent effect of these changes. We studied microRNA genetic variation in human populations and found that while low-frequency variants accumulate indistinctly in microRNA regions, the mature and seed regions tend to be depleted of high-frequency variants, probably as a result of purifying selection. Comparison of pairwise population fixation indexes among regions showed that the seed had higher population fixation indexes than the other regions, suggesting the existence of local adaptation in the seed region. We further performed functional studies of three microRNA variants associated with cancer (rs2910164:C > G in MIR146A, rs11614913:C > T in MIR196A2, and rs3746444:A > G in both MIR499A and MIR499B). We found differences in the expression between alleles and in the regulation of several genes involved in cancer, such as TP53, KIT, CDH1, CLH, and TERT, which may result in changes in regulatory networks related to tumorigenesis. Furthermore, luciferase-based assays showed that MIR499A could be regulating the cadherin CDH1 and the cell adhesion molecule CLH1 in an allele-dependent fashion. A better understanding of the effect of microRNA variants associated with disease could be key in our way to a more personalized medicine.
© 2016 WILEY PERIODICALS, INC.

Entities:  

Keywords:  cancer; functional allele variant; genetic association; microRNA

Mesh:

Substances:

Year:  2016        PMID: 27397105     DOI: 10.1002/humu.23045

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  8 in total

Review 1.  Genetic predisposition to lung cancer: comprehensive literature integration, meta-analysis, and multiple evidence assessment of candidate-gene association studies.

Authors:  Junjun Wang; Qingyun Liu; Shuai Yuan; Weijia Xie; Yuan Liu; Ying Xiang; Na Wu; Long Wu; Xiangyu Ma; Tongjian Cai; Yao Zhang; Zhifu Sun; Yafei Li
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

2.  rs12416605:C>T in MIR938 associates with gastric cancer through affecting the regulation of the CXCL12 chemokine gene.

Authors:  Ignasi Torruella-Loran; María Karla Ramirez Viña; Daniela Zapata-Contreras; Xavier Muñoz; Eva Garcia-Ramallo; Catalina Bonet; Carlos A Gonzalez; Núria Sala; Yolanda Espinosa-Parrilla
Journal:  Mol Genet Genomic Med       Date:  2019-07-04       Impact factor: 2.183

3.  Association between MIR499A rs3746444 polymorphism and breast cancer susceptibility: a meta-analysis.

Authors:  Shing Cheng Tan; Poh Ying Lim; Jie Fang; Mira Farzana Mohamad Mokhtar; Ezanee Azlina Mohamad Hanif; Rahman Jamal
Journal:  Sci Rep       Date:  2020-02-26       Impact factor: 4.379

4.  Polymorphisms in miRNA genes play roles in the initiation and development of cervical cancer.

Authors:  Zhiling Yan; Ziyun Zhou; Chuanyin Li; Xielang Yang; Longyu Yang; Shuying Dai; Jiehan Zhao; Huijing Ni; Li Shi; Yufeng Yao
Journal:  J Cancer       Date:  2019-08-20       Impact factor: 4.207

5.  The Association between Five Genetic Variants in MicroRNAs (rs2910164, rs11614913, rs3746444, rs11134527, and rs531564) and Cervical Cancer Risk: A Meta-Analysis.

Authors:  Jia Liu; Peng Dong; Liane Zhou; Shijun Wang
Journal:  Biomed Res Int       Date:  2021-03-15       Impact factor: 3.411

6.  Signatures of genetic variation in human microRNAs point to processes of positive selection and population-specific disease risks.

Authors:  Hafid Laayouni; Yolanda Espinosa-Parrilla; Pablo Villegas-Mirón; Alicia Gallego; Jaume Bertranpetit
Journal:  Hum Genet       Date:  2022-03-06       Impact factor: 5.881

7.  MiRLog and dbmiR: Prioritization and functional annotation tools to study human microRNA sequence variants.

Authors:  Agnese Giovannetti; Salvatore Daniele Bianco; Alice Traversa; Noemi Panzironi; Alessandro Bruselles; Sara Lazzari; Niccolò Liorni; Marco Tartaglia; Massimo Carella; Antonio Pizzuti; Tommaso Mazza; Viviana Caputo
Journal:  Hum Mutat       Date:  2022-05-29       Impact factor: 4.700

8.  Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions.

Authors:  Sha He; Haiyan Ou; Cunyou Zhao; Jian Zhang
Journal:  Int J Genomics       Date:  2018-03-06       Impact factor: 2.326

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.