Evidence map›Paper›PMID 28472449›Full record

ArticleNucleic acids research2017

Exploring genetic associations with ceRNA regulation in the human genome.

Mulin Jun Li, Jian Zhang, Qian Liang, Chenghao Xuan, Jiexing Wu, Peng Jiang, Wei Li, Yun Zhu, Panwen Wang, Daniel Fernandez and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

29 citing papers in PubMed, 47 citations in OpenAlex.

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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

18 authors at 6 institutions in 3 countries.

Mulin Jun LiDepartment of pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Jian ZhangDepartment of pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Qian LiangDepartment of pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Chenghao XuanDepartment of pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Jiexing WuDepartment of Statistics, Harvard University, Cambridge, MA 02138, USA.
Peng JiangDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H.Chan School of Public Health, Boston, MA 02215, USA.
Wei LiDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H.Chan School of Public Health, Boston, MA 02215, USA.
Yun ZhuCentre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR 999077, China.
Panwen WangDepartment of Health Sciences Research & Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ 85259, USA.
Daniel FernandezDepartment of Statistics, Harvard University, Cambridge, MA 02138, USA.
Yujun ShenDepartment of pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Yiwen ChenDepartment of Bioinformatics and Computational Biology, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jean-Pierre A KocherDepartment of Health Sciences Research & Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ 85259, USA.
Ying YuDepartment of pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Pak Chung ShamCentre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR 999077, China.
Junwen WangDepartment of Health Sciences Research & Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ 85259, USA.
Jun S LiuDepartment of Statistics, Harvard University, Cambridge, MA 02138, USA.
X Shirley LiuDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H.Chan School of Public Health, Boston, MA 02215, USA.
Tianjin Medical University · CNHarvard University · USDana-Farber Cancer Institute · USMayo Clinic in Arizona · USUniversity of Hong Kong · HKThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
6 · The paper itself

Abstract

Competing endogenous RNAs (ceRNAs) are RNA molecules that sequester shared microRNAs (miRNAs) thereby affecting the expression of other targets of the miRNAs. Whether genetic variants in ceRNA can affect its biological function and disease development is still an open question. Here we identified a large number of genetic variants that are associated with ceRNA's function using Geuvaids RNA-seq data for 462 individuals from the 1000 Genomes Project. We call these loci competing endogenous RNA expression quantitative trait loci or 'cerQTL', and found that a large number of them were unexplored in conventional eQTL mapping. We identified many cerQTLs that have undergone recent positive selection in different human populations, and showed that single nucleotide polymorphisms in gene 3΄UTRs at the miRNA seed binding regions can simultaneously regulate gene expression changes in both cis and trans by the ceRNA mechanism. We also discovered that cerQTLs are significantly enriched in traits/diseases associated variants reported from genome-wide association studies in the miRNA binding sites, suggesting that disease susceptibilities could be attributed to ceRNA regulation. Further in vitro functional experiments demonstrated that a cerQTL rs11540855 can regulate ceRNA function. These results provide a comprehensive catalog of functional non-coding regulatory variants that may be responsible for ceRNA crosstalk at the post-transcriptional level.

Indexed as

Gene Expression RegulationGene Regulatory NetworksGenome, HumanQuantitative Trait Loci3' Untranslated RegionsBase PairingBinding SitesChromosome MappingGenome-Wide Association StudyHumansMicroRNAsPolymorphism, Single NucleotideRNA, Untranslated3' Untranslated RegionsMicroRNAsRNA, Untranslated

Identifiers

PMID28472449
PMCPMC5449616
OpenAlexW2610574071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.