Evidence map›Paper›PMID 32731901›Full record

ArticleGenome biology2020

Population variation in miRNAs and isomiRs and their impact on human immunity to infection.

Maxime Rotival, Katherine J Siddle, Martin Silvert, Julien Pothlichet, Hélène Quach, Lluis Quintana-Murci

Abstract readComparative Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Comparative 5' IsomiRome Analysis Uncovers Dysregulated 5' IsomiRs inComputational and structural biotechnology journal · 2026
    Article
  2. IsomiR stoichiometry changes as disease biomarkers.Molecular therapy. Nucleic acids · 2025
    Article
  3. miRNA expression haplotype in Hispanics with endometriosis.Frontiers in reproductive health · 2025
    Article
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  11. Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. IFN-I inducibleFrontiers in immunology · 2022
    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

6 authors.

Maxime RotivalHuman Evolutionary Genetics Unit, Institut Pasteur, CNRS UMR 2000, 75015, Paris, France. maxime.rotival@pasteur.fr.
Katherine J SiddleBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Martin SilvertHuman Evolutionary Genetics Unit, Institut Pasteur, CNRS UMR 2000, 75015, Paris, France.
Julien PothlichetHuman Evolutionary Genetics Unit, Institut Pasteur, CNRS UMR 2000, 75015, Paris, France.
Hélène QuachHuman Evolutionary Genetics Unit, Institut Pasteur, CNRS UMR 2000, 75015, Paris, France.
Lluis Quintana-MurciHuman Evolutionary Genetics Unit, Institut Pasteur, CNRS UMR 2000, 75015, Paris, France. quintana@pasteur.fr.ORCID 0000-0003-2429-6320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are key regulators of the immune system, yet their variation and contribution to intra- and inter-population differences in immune responses is poorly characterized.

resultsWe generate 977 miRNA-sequencing profiles from primary monocytes from individuals of African and European ancestry following activation of three TLR pathways (TLR4, TLR1/2, and TLR7/8) or infection with influenza A virus. We find that immune activation leads to important modifications in the miRNA and isomiR repertoire, particularly in response to viral challenges. These changes are much weaker than those observed for protein-coding genes, suggesting stronger selective constraints on the miRNA response to stimulation. This is supported by the limited genetic control of miRNA expression variability (miR-QTLs) and the lower occurrence of gene-environment interactions, in stark contrast with eQTLs that are largely context-dependent. We also detect marked differences in miRNA expression between populations, which are mostly driven by non-genetic factors. On average, miR-QTLs explain approximately 60% of population differences in expression of their cognate miRNAs and, in some cases, evolve adaptively, as shown in Europeans for a miRNA-rich cluster on chromosome 14. Finally, integrating miRNA and mRNA data from the same individuals, we provide evidence that the canonical model of miRNA-driven transcript degradation has a minor impact on miRNA-mRNA correlations, which are, in our setting, mainly driven by co-transcription.

conclusionTogether, our results shed new light onto the factors driving miRNA and isomiR diversity at the population level and constitute a useful resource for evaluating their role in host differences of immunity to infection.

Indexed as

ImmunityBlack PeopleGenome, HumanHumansInfectionsMicroRNAsMonocytesQuantitative Trait LociRNA IsoformsWhite PeopleMicroRNAsRNA IsoformsImmunityIsoformsmiRNAsmiR-QTLsPopulation

Identifiers

PMID32731901
PMCPMC7391576

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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.