Evidence map›Paper›PMID 22906193›Full record

ArticleGenome medicine2012

A map of human microRNA variation uncovers unexpectedly high levels of variability.

José Carbonell, Eva Alloza, Pablo Arce, Salud Borrego, Javier Santoyo, Macarena Ruiz-Ferrer, Ignacio Medina, Jorge Jiménez-Almazán, Cristina Méndez-Vidal, María González-Del Pozo and 4 more

Abstract read
In one paragraph

Article in Genome medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Applications of the 1000 Genomes Project resources.Briefings in functional genomics · 2017
    Article
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  8. Integrated gene set analysis for microRNA studies.Bioinformatics (Oxford, England) · 2016
    Article
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  12. Review
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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.

José CarbonellInstitute of Computational Genomics, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain.
Eva AllozaInstitute of Computational Genomics, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain.
Pablo ArceMedical Genome Project, Andalusian Center for Human Genomic Sequencing, c/ Albert Einstein s/n. Plta. Baja, Sevilla, 41092, Spain.
Salud BorregoUnidad de Gestión Clínica de Genética, Reproducción y Medicina Fetal. Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío/CSIC/ Universidad de Sevilla, Avda. Manuel Siurot s/n, Sevilla, 41013, Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Avda. Manuel Siurot s/n, Sevilla, 41013, Spain.
Javier SantoyoMedical Genome Project, Andalusian Center for Human Genomic Sequencing, c/ Albert Einstein s/n. Plta. Baja, Sevilla, 41092, Spain.
Macarena Ruiz-FerrerMedical Genome Project, Andalusian Center for Human Genomic Sequencing, c/ Albert Einstein s/n. Plta. Baja, Sevilla, 41092, Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Avda. Manuel Siurot s/n, Sevilla, 41013, Spain.
Ignacio MedinaInstitute of Computational Genomics, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain.
Jorge Jiménez-AlmazánInstitute of Computational Genomics, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain ; BIER, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), CIPF, C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain.
Cristina Méndez-VidalUnidad de Gestión Clínica de Genética, Reproducción y Medicina Fetal. Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío/CSIC/ Universidad de Sevilla, Avda. Manuel Siurot s/n, Sevilla, 41013, Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Avda. Manuel Siurot s/n, Sevilla, 41013, Spain.
María González-Del PozoUnidad de Gestión Clínica de Genética, Reproducción y Medicina Fetal. Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío/CSIC/ Universidad de Sevilla, Avda. Manuel Siurot s/n, Sevilla, 41013, Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Avda. Manuel Siurot s/n, Sevilla, 41013, Spain.
Alicia VelaMedical Genome Project, Andalusian Center for Human Genomic Sequencing, c/ Albert Einstein s/n. Plta. Baja, Sevilla, 41092, Spain.
Shomi S BhattacharyaMedical Genome Project, Andalusian Center for Human Genomic Sequencing, c/ Albert Einstein s/n. Plta. Baja, Sevilla, 41092, Spain ; Andalusian Molecular Biology and Regenerative Medicine Centre (CABIMER), Avda. Americo Vespucio s/n, Sevilla, 41092, Spain.
Guillermo AntiñoloMedical Genome Project, Andalusian Center for Human Genomic Sequencing, c/ Albert Einstein s/n. Plta. Baja, Sevilla, 41092, Spain ; Unidad de Gestión Clínica de Genética, Reproducción y Medicina Fetal. Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío/CSIC/ Universidad de Sevilla, Avda. Manuel Siurot s/n, Sevilla, 41013, Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Avda. Manuel Siurot s/n, Sevilla, 41013, Spain.
Joaquín DopazoInstitute of Computational Genomics, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain ; Medical Genome Project, Andalusian Center for Human Genomic Sequencing, c/ Albert Einstein s/n. Plta. Baja, Sevilla, 41092, Spain ; BIER, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), CIPF, C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain ; Functional Genomics Node (INB), CIPF, C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are key components of the gene regulatory network in many species. During the past few years, these regulatory elements have been shown to be involved in an increasing number and range of diseases. Consequently, the compilation of a comprehensive map of natural variability in a healthy population seems an obvious requirement for future research on miRNA-related pathologies.

methodsData on 14 populations from the 1000 Genomes Project were analyzed, along with new data extracted from 60 exomes of healthy individuals from a population from southern Spain, sequenced in the context of the Medical Genome Project, to derive an accurate map of miRNA variability.

resultsDespite the common belief that miRNAs are highly conserved elements, analysis of the sequences of the 1,152 individuals indicated that the observed level of variability is double what was expected. A total of 527 variants were found. Among these, 45 variants affected the recognition region of the corresponding miRNA and were found in 43 different miRNAs, 26 of which are known to be involved in 57 diseases. Different parts of the mature structure of the miRNA were affected to different degrees by variants, which suggests the existence of a selective pressure related to the relative functional impact of the change. Moreover, 41 variants showed a significant deviation from the Hardy-Weinberg equilibrium, which supports the existence of a selective process against some alleles. The average number of variants per individual in miRNAs was 28.

conclusionsDespite an expectation that miRNAs would be highly conserved genomic elements, our study reports a level of variability comparable to that observed for coding genes.

Identifiers

PMID22906193
PMCPMC4064319

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