Evidence map›Paper›PMID 39434104›Full record

ArticleGenome biology2024

A comprehensive study of genetic regulation and disease associations of plasma circulatory microRNAs using population-level data.

Rima Mustafa, Michelle M J Mens, Arno van Hilten, Jian Huang, Gennady Roshchupkin, Tianxiao Huan, Linda Broer, Joyce B J van Meurs, Paul Elliott, Daniel Levy and 4 more

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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  13. Exploring the Causal Relationship Between Circulating miRNAs and Sepsis Through Mendelian Randomization Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

14 authors.

Rima MustafaDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Michelle M J MensDepartment of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Arno van HiltenDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Jian HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Gennady RoshchupkinDepartment of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Tianxiao HuanFramingham Heart Study, Framingham, MA, USA.
Linda BroerDepartment of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Joyce B J van MeursDepartment of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Daniel LevyFramingham Heart Study, Framingham, MA, USA.
M Arfan IkramDepartment of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Marina EvangelouDepartment of Mathematics, Imperial College London, London, UK.
Abbas Dehghan *Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Mohsen Ghanbari *Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands. m.ghanbari@erasmusmc.nl.ORCID http://orcid.org/0000-0002-9476-7143

Funding

Medical Research Council MR/S019669/1
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression. Perturbations in plasma miRNA levels are known to impact disease risk and have potential as disease biomarkers. Exploring the genetic regulation of miRNAs may yield new insights into their important role in governing gene expression and disease mechanisms.

resultsWe present genome-wide association studies of 2083 plasma circulating miRNAs in 2178 participants of the Rotterdam Study to identify miRNA-expression quantitative trait loci (miR-eQTLs). We identify 3292 associations between 1289 SNPs and 63 miRNAs, of which 65% are replicated in two independent cohorts. We demonstrate that plasma miR-eQTLs co-localise with gene expression, protein, and metabolite-QTLs, which help in identifying miRNA-regulated pathways. We investigate consequences of alteration in circulating miRNA levels on a wide range of clinical conditions in phenome-wide association studies and Mendelian randomisation using the UK Biobank data (N = 423,419), revealing the pleiotropic and causal effects of several miRNAs on various clinical conditions. In the Mendelian randomisation analysis, we find a protective causal effect of miR-1908-5p on the risk of benign colon neoplasm and show that this effect is independent of its host gene (FADS1).

conclusionsThis study enriches our understanding of the genetic architecture of plasma miRNAs and explores the signatures of miRNAs across a wide range of clinical conditions. The integration of population-based genomics, other omics layers, and clinical data presents opportunities to unravel potential clinical significance of miRNAs and provides tools for novel miRNA-based therapeutic target discovery.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideQuantitative Trait LociAgedCirculating MicroRNAColonic NeoplasmsFemaleGene Expression RegulationGenetic Predisposition to DiseaseHumansMaleMendelian Randomization AnalysisMicroRNAsMiddle AgedCirculating MicroRNAMicroRNAsExpression quantitative trait lociMicroRNAPopulation-based cohort

Identifiers

PMID39434104
PMCPMC11492503

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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.