Evidence map›Paper›PMID 25791433›Full record

ArticleNature communications2015

Genome-wide identification of microRNA expression quantitative trait loci.

Tianxiao Huan, Jian Rong, Chunyu Liu, Xiaoling Zhang, Kahraman Tanriverdi, Roby Joehanes, Brian H Chen, Joanne M Murabito, Chen Yao, Paul Courchesne and 7 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

115 citing papers in PubMed, 1 synthesis or guideline pooled it, 181 citations in OpenAlex.

  1. Pooled it
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  11. Advances in the Regulation of Lipid Metabolism by Non-Coding RNAs.Animals : an open access journal from MDPI · 2025
    Review
  12. Article
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  15. Causal role of MiRNAs in chronic rhinosinusitis: mendelian randomization and validation study.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

55 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

17 authors at 6 institutions in 1 country.

Tianxiao Huan1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20824, USA.
Jian RongDepartment of Mathematics and Statistics, Boston University, Boston, Massachusetts 02118, USA.
Chunyu Liu1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20824, USA.
Xiaoling Zhang1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] Cardiovascular Epidemiology and Human Genomics Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, Maryland 20824, USA.
Kahraman TanriverdiDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts 01655, USA.
Roby Joehanes1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20824, USA [3] Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20824, USA [4] Harvard Medical School, Harvard University, Boston, Massachusetts 02115, USA [5] Hebrew SeniorLife, Boston, Massachusetts 02131, USA.
Brian H Chen1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20824, USA.
Joanne M Murabito1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts 02118, USA.
Chen Yao1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20824, USA.
Paul Courchesne1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20824, USA.
Peter J MunsonMathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20824, USA.
Christopher J O'Donnell1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] Cardiovascular Epidemiology and Human Genomics Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, Maryland 20824, USA.
Nancy CoxDepartment of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA.
Andrew D Johnson1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] Cardiovascular Epidemiology and Human Genomics Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, Maryland 20824, USA.
Martin G Larson1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] Department of Mathematics and Statistics, Boston University, Boston, Massachusetts 02118, USA.
Daniel Levy1] The Framingham Heart Study, Framingham, Massachusetts 01702, USA [2] The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20824, USA.
Jane E FreedmanDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts 01655, USA.
Framingham Heart Study · USBoston University · USUniversity of Massachusetts Chan Medical School · USNational Institutes of Health · USNaval Research Laboratory Information Technology DivisionUniversity of Chicago · US

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
Cardiovascular Genomics and Bioinformatics projectsZIAHL006170 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI JOHNSON, ANDREW · 2013 to 2025
$25.3M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Translational Research Skills Development CoreU54HL112311 · NHLBI · UNIVERSITY OF UTAH · PI WEYRICH, ANDREW S, ZIMMERMAN, GUY A. · 2012 to 2016
$12.9M
Genomic Epidemiology of Cardiovascular DiseaseZIAHL006002 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2009 to 2015
$8.0M
Statistical And Computational Methods For Gene Expression and Proteomic AnalysisZIACT000266 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI MUNSON, PETER J · 2009 to 2016
$4.2M
Racial and Ethnic Diversity in Human Extracellular RNAU01HL126495 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FREEDMAN, JANE E, GERSTEIN, MARK BENDER · 2014 to 2018
$3.4M
Extracellular RNAs: Biomarkers for Cardiovascular Risk and DiseaseUH3TR000921 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FREEDMAN, JANE E · 2015 to 2017
$3.1M
Gene Expression for Functional Genomics in Human PopulationsZIAHL006175 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.2M
Functional Genetic Variation Underlying Cardiovascular Genomic EpidemiologyZIAHL006173 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.0M
Framingham Project/LevyZ01HL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2008 to 2008
$1.1M
Extracellular RNAs: Biomarkers for Cardiovascular Risk and DiseaseUH2TR000921 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FREEDMAN, JANE E · 2013 to 2014
$1.0M
Intramural NIH HHS Z01 HL006001Intramural NIH HHS ZIA HL006001NCATS NIH HHS UH2 TR000921NCATS NIH HHS UH3 TR000921NCATS NIH HHS UL1 TR000430NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS U01 HL126495NHLBI NIH HHS U54 HL112311
6 · The paper itself

Abstract

Identification of microRNA expression quantitative trait loci (miR-eQTL) can yield insights into regulatory mechanisms of microRNA transcription, and can help elucidate the role of microRNA as mediators of complex traits. Here we present a miR-eQTL mapping study of whole blood from 5,239 individuals, and identify 5,269 cis-miR-eQTLs for 76 mature microRNAs. Forty-nine per cent of cis-miR-eQTLs are located 300-500 kb upstream of their associated intergenic microRNAs, suggesting that distal regulatory elements may affect the interindividual variability in microRNA expression levels. We find that cis-miR-eQTLs are highly enriched for cis-mRNA-eQTLs and regulatory single nucleotide polymorphisms. Among 243 cis-miR-eQTLs that were reported to be associated with complex traits in prior genome-wide association studies, many cis-miR-eQTLs miRNAs display differential expression in relation to the corresponding trait (for example, rs7115089, miR-125b-5p and high-density lipoprotein cholesterol). Our study provides a roadmap for understanding the genetic basis of miRNA expression, and sheds light on miRNA involvement in a variety of complex traits.

Indexed as

AdultAgedChromosome MappingFemaleGene Expression ProfilingGenome-Wide Association StudyGenotyping TechniquesHumansMaleMicroRNAsMiddle AgedPolymorphism, Single NucleotideQuantitative Trait LociRegulatory Sequences, Nucleic AcidReverse Transcriptase Polymerase Chain ReactionMicroRNAs

Identifiers

PMID25791433
PMCPMC4369777
OpenAlexW1967206395

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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.