Evidence map›Paper›PMID 21691150›Full record

ArticleRNA biology

Population differences in microRNA expression and biological implications.

R Stephanie Huang, Eric R Gamazon, Dana Ziliak, Yujia Wen, Hae Kyung Im, Wei Zhang, Claudia Wing, Shiwei Duan, Wasim K Bleibel, Nancy J Cox and 1 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RNA biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 16 pooled it
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

110 citing papers in PubMed, 16 syntheses or guidelines pooled it, 170 citations in OpenAlex.

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50 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

R Stephanie HuangSection of Hematology-Oncology, University of Illinois at Chicago, Chicago, IL, USA. rhuang@medicine.bsd.uchicago.edu
Eric R Gamazon
Dana Ziliak
Yujia Wen
Hae Kyung Im
Wei Zhang
Claudia Wing
Shiwei Duan
Wasim K Bleibel
Nancy J Cox
M Eileen Dolan
University of Chicago · USUniversity of Illinois Chicago · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
Whole GenomeU01GM061393 · NIGMS · UNIVERSITY OF CHICAGO · PI DOLAN, MARY EILEEN · 2000 to 2014
$39.0M
Variation in Hormone and xenobiotic metabolizing enzyme genes and breast cancerP50CA125183 · NCI · UNIVERSITY OF CHICAGO · PI COX, NANCY · 2006 to 2010
$11.3M
Genome-wide interrogation of genetic signatures for glucocorticoid sensitivityK08GM089941 · NIGMS · UNIVERSITY OF CHICAGO · PI HUANG, RONG STEPHANIE · 2010 to 2014
$498k
Incorporation of microRNA expression in pharmacogenetic prediction modelsR21CA139278 · NCI · UNIVERSITY OF CHICAGO · PI DOLAN, MARY EILEEN, HUANG, RONG STEPHANIE · 2009 to 2010
$378k
NCI NIH HHS P30 CA014599NCI NIH HHS P30 CA14599NCI NIH HHS P50 CA125183NCI NIH HHS R21 CA139278NIGMS NIH HHS K08 GM089941NIGMS NIH HHS U01 GM061393NIGMS NIH HHS U01 GM61393
6 · The paper itself

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.

Indexed as

Genetic VariationBlack PeopleCell LineGene Expression ProfilingGene FrequencyGenome-Wide Association StudyHapMap ProjectHumansMicroRNAsPolymorphism, Single NucleotideTranscriptomeWhite PeopleMicroRNAs

Identifiers

PMID21691150
PMCPMC3225983
OpenAlexW2036607475

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.