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Cited by 171MicroRNA in disease regulationGenetic Associations and EpidemiologyGene expression and cancer classification

Population differences in microRNA expression and biological implications

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Huang, R. Stephanie, Gamazon, Eric R., Ziliak, Dana, Wen, Yujia, Im, Hae Kyung, Zhang, Wei, Wing, Claudia, Duan, Shiwei +3 more·2011·RNA Biology
DOI 10.4161/rna.8.4.16029PMC PMC3225983
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Abstract

Population differences observed for complex traits may be attributed to the combined effect of socioeconomic, environmental, genetic and epigenetic factors. To better understand population differences in complex traits, genome-wide genetic and gene expression differences among ethnic populations have been studied. Here we set out to evaluate population differences in small non-coding RNAs through an evaluation of microRNA (miRNA) baseline expression in HapMap lymphoblastoid cell lines (LCLs) derived from 53 CEU (Utah residents with northern and western European ancestry) and 54 YRI (African from Ibadan, Nigeria). Using the Exiqon miRCURYTM LNA arrays, we found that 16% of all miRNAs evaluated in our study differ significantly between these 2 ethnic groups (pBonferroni corrected< 0.05). Furthermore, we explored the potential biological function of these observed differentially expressed miRNAs by comprehensively examining their effect on the transcriptome and their relationship with cellular sensitivity drug phenotypes. After multiple testing adjustment (false discovery rate (FDR)< 0.1), we found that 55% and 88% of the differentially expressed miRNAs were significantly and inversely correlated with an mRNA expression phenotype in the CEU and YRI samples, respectively. Interestingly, a substantial proportion (64%) of these miRNAs correlated with cellular sensitivity to chemotherapeutic agents (FDR< 0.05). Lastly, upon performing a genome-wide association study between SNPs and miRNA expression, we identified a large number of SNPs exhibiting different allele frequencies that affect the expression of these differentially expressed miRNAs, suggesting the role of genetic variants in mediating the observed population differences.

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  • Population-specific genetic and environmental factors may influence miR-21 expression, leading to variations in diagnostic performance and prognostic utility.

    “Addressing this gap is crucial, as population-specific genetic and environmental factors may influence microRNA e.g.miR-21 expression, leading to variations in the diagnostic performance and prognostic utility as well as therapeutic response [14,15].”

    From miR-21 as a diagnostic and prognostic biomarker in glioma: tissue and serum expression analysis in a Pakistani cohort (2026) · cites this paper as [14]

    The Discussion reports population differences in miRNA expression in CEU and YRI cell lines, and the Introduction suggests genetic variants may help explain them. The paper also links some of those miRNAs to in-vitro chemotherapy sensitivity. It does not establish population-specific genetic or environmental effects on miR-21, or show resulting differences in diagnostic performance or prognostic utility; the miR-21 prognosis item appears only in the References. Page numbers are unavailable in our copy. (LLM, conf=0.87)

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Cited by

Sorted by citations

Authors
Huang, R. S., Gamazon, E. R., Ziliak, D., Wen, Y., Im, H. K., Zhang, W., Wing, C., Duan, S., Bleibel, W. K., Cox, N. J., & Dolan, M. E.
Affiliations
  • University of Illinois Chicago (US)
  • University of Chicago (US)
Corresponding author
Huang, R. Stephanie
ORCID
Venue
RNA Biology
Publisher
Informa UK Limited
Published
2011-07
Volume
8
Issue
4
Pages
692-701
ISSN
  • 1547-6286 (ISSN-L)
  • 1555-8584
DOI
10.4161/rna.8.4.16029
PMC
PMC3225983
OpenAlex
W2036607475
Cited by
171
References
2
Citations by year
2026: 7 · 2025: 8 · 2024: 8 · 2023: 6 · 2022: 17 · 2021: 13 · 2020: 13 · 2019: 16 · 2018: 12 · 2017: 11 · 2016: 19 · 2015: 5 · 2014: 15 · 2013: 12 · 2012: 9
FWCI
3.92
Type
journal article
Language
en
Open access
Locations
  • RNA Biology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Cancer Institute (CA 14599, CA139278, P30‐CA14599, R21CA139278, P50CA125183, CA125183, P30CA014599)
  • National Institute of General Medical Sciences (K08GM089941, U01 GM61393, U01GM061393)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
Keywords
microRNA expression, population differences, ethnic differences, CEU, lymphoblastoid cell lines, small RNA, miRNA-mRNA correlation, transcriptome, drug sensitivity, chemosensitivity, single nucleotide polymorphisms, genetic variants, allele frequency, HapMap
MeSH terms
Cell Line, Gene Frequency, Humans, Genetic Variation, Polymorphism, Single Nucleotide, Gene Expression Profiling, MicroRNAs, Black People, White People, Genome-Wide Association Study, Transcriptome, HapMap Project

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