Evidence map›Paper›PMID 23272639›Full record

ArticleBMC genomics2012

The regulatory effect of miRNAs is a heritable genetic trait in humans.

Paul Geeleher, Stephanie R Huang, Eric R Gamazon, Aaron Golden, Cathal Seoighe

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Genetic Polymorphisms inInternational journal of molecular sciences · 2021
    Article
  3. Article
  4. Epigenetics and MicroRNAs in Cancer.International journal of molecular sciences · 2018
    Review
  5. Article
  6. Review
  7. Article
  8. Article
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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

5 authors at 3 institutions in 3 countries.

Paul GeeleherDepartment of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, Ireland.
Stephanie R Huang
Eric R Gamazon
Aaron Golden
Cathal Seoighe
Ollscoil na Gaillimhe – University of Galway · IEUniversity of Chicago · USAlbert Einstein College of Medicine · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
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 CA14599NCI NIH HHS R21 CA139278NIGMS NIH HHS K08 GM089941NIGMS NIH HHS K08GM089941
6 · The paper itself

Abstract

backgroundmicroRNAs (miRNAs) have been shown to regulate the expression of a large number of genes and play key roles in many biological processes. Several previous studies have quantified the inhibitory effect of a miRNA indirectly by considering the expression levels of genes that are predicted to be targeted by the miRNA and this approach has been shown to be robust to the choice of prediction algorithm. Given a gene expression dataset, Cheng et al. defined the regulatory effect score (RE-score) of a miRNA as the difference in the gene expression rank of targets of the miRNA compared to non-targeted genes.

resultsUsing microarray data from parent-offspring trios from the International HapMap project, we show that the RE-score of most miRNAs is correlated between parents and offspring and, thus, inter-individual variation in RE-score has a genetic component in humans. Indeed, the mean RE-score across miRNAs is correlated between parents and offspring, suggesting genetic differences in the overall efficiency of the miRNA biogenesis pathway between individuals. To explore the genetics of this quantitative trait further, we carried out a genome-wide association study of the mean RE-score separately in two HapMap populations (CEU and YRI). No genome-wide significant associations were discovered; however, a SNP rs17409624, in an intron of DROSHA, was significantly associated with mean RE-score in the CEU population following permutation-based control for multiple testing based on all SNPs mapped to the canonical miRNA biogenesis pathway; of 244 individual miRNA RE-scores assessed in the CEU, 214 were associated (p < 0.05) with rs17409624. The SNP was also nominally significantly associated (p = 0.04) with mean RE-score in the YRI population. Interestingly, the same SNP was associated with 17 (8.5% of all expressed) miRNA expression levels in the CEU. We also show here that the expression of the targets of most miRNAs is more highly correlated with global changes in miRNA regulatory effect than with the expression of the miRNA itself.

conclusionsWe present evidence that miRNA regulatory effect is a heritable trait in humans and that a polymorphism of the DROSHA gene contributes to the observed inter-individual differences.

Indexed as

Gene Expression RegulationGenome, HumanPolymorphism, Single NucleotideQuantitative Trait, HeritableAlgorithmsGene Expression ProfilingGenome-Wide Association StudyHapMap ProjectHumansInheritance PatternsMicroRNAsRibonuclease IIIDROSHA protein, humanMicroRNAsRibonuclease III

Identifiers

PMID23272639
PMCPMC3532363
OpenAlexW1601669261

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.