Evidence map›Paper›PMID 30302893›Full record

ArticleHuman mutation2019

Framework for microRNA variant annotation and prioritization using human population and disease datasets.

Ninad Oak, Rajarshi Ghosh, Kuan-Lin Huang, David A Wheeler, Li Ding, Sharon E Plon

Abstract read
In one paragraph

Article in Human mutation, 2019. 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
1.0field-weighted citation impact, top 28% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Construction and Analysis of miRNA Regulatory Networks.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. MicroRNAs Regulating Autophagy in Neurodegeneration.Advances in experimental medicine and biology · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
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 at 2 institutions in 1 country.

Ninad OakDepartments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030.ORCID 0000-0002-9806-0217
Rajarshi GhoshDepartments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030.ORCID 0000-0001-7368-8940
Kuan-Lin HuangDepartment of Medicine, Washington University in St. Louis, MO 63108.
David A WheelerDepartments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030.
Li DingDepartment of Medicine, Washington University in St. Louis, MO 63108.
Sharon E PlonDepartments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030.ORCID 0000-0002-9626-0936
Baylor College of Medicine · USJames S. McDonnell Foundation · US

Funding

The Future of PharmGKB Funding Under NHGRIU41HG009649 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL · 2017 to 2020
$13.4M
Clinically Relevant Genome Variation DatabaseU01HG007436 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, PLON, SHARON E. · 2013 to 2016
$10.5M
Genomic Approaches to Defining Inherited Basis of Childhood CancerR01CA138836 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PLON, SHARON E. · 2010 to 2012
$1.7M
Cancer Prevention and Research Institute of Texas RP10189NCI NIH HHS R01 CA138836NCI NIH HHS R01-CA138836NHGRI NIH HHS 5U01HG007436-03NHGRI NIH HHS U01 HG007436NHGRI NIH HHS U41 HG009649NHGRI NIH HHS U41HG009649-01
6 · The paper itself

Abstract

MicroRNA (miRNA) expression is frequently deregulated in human disease, in contrast, disease-associated miRNA mutations are understudied. We developed Annotative Database of miRNA Elements, ADmiRE, which combines multiple existing and new biological annotations to aid prioritization of causal miRNA variation. We annotated 10,206 mature (3,257 within seed region) miRNA variants from multiple large sequencing datasets including gnomAD (15,496 genomes; 123,136 exomes). The pattern of miRNA variation closely resembles protein-coding exonic regions, with no difference between intragenic and intergenic miRNAs (P = 0.56), and high confidence miRNAs demonstrate higher sequence constraint (P < 0.001). Conservation analysis across 100 vertebrates identified 765 highly conserved miRNAs that also have limited genetic variation in gnomAD. We applied ADmiRE to the TCGA PanCancerAtlas WES dataset containing over 10,000 individuals across 33 adult cancers and annotated 1,267 germline (rare in gnomAD) and 1,492 somatic miRNA variants. Several miRNA families with deregulated gene expression in cancer have low levels of both somatic and germline variants, e.g., let-7 and miR-10. In addition to known somatic miR-142 mutations in hematologic cancers, we describe novel somatic miR-21 mutations in esophageal cancers impacting downstream miRNA targets. Through the development of ADmiRE, we present a framework for annotation and prioritization of miRNA variation in disease datasets.

Indexed as

Databases, GeneticGenetics, PopulationMolecular Sequence AnnotationAnimalsBase SequenceConserved SequenceDiseaseExome SequencingGenome, HumanGerm-Line MutationHumansMicroRNAsNeoplasmsPhylogenyVertebratesMicroRNAscancerconservationgenomicsmicroRNAvariant annotation

Identifiers

PMID30302893
PMCPMC6400659
OpenAlexW2897770572

What OpenQuestion holds

Textmetadata
LicenceTDM
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.