Evidence map›Paper›PMID 27576531›Full record

ArticleNucleic acids research2016

RNA2DNAlign: nucleotide resolution allele asymmetries through quantitative assessment of RNA and DNA paired sequencing data.

Mercedeh Movassagh, Nawaf Alomran, Prakriti Mudvari, Merve Dede, Cem Dede, Kamran Kowsari, Paula Restrepo, Edmund Cauley, Sonali Bahl, Muzi Li and 4 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. GeTallele: A Method for Analysis of DNA and RNA Allele Frequency Distributions.Frontiers in bioengineering and biotechnology · 2020
    Article
  7. Article
  8. 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

14 authors.

Mercedeh MovassaghMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA.
Nawaf AlomranMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA.
Prakriti MudvariMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA.
Merve DedeMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA.
Cem DedeMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA.
Kamran KowsariMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA.
Paula RestrepoMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA.
Edmund CauleyDepartment of Pharmacology and Physiology, The George Washington University, Washington, DC 20037, USA.
Sonali BahlDepartment of Pharmacology and Physiology, The George Washington University, Washington, DC 20037, USA.
Muzi LiMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA.
Wesley WaterhouseMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA.
Krasimira Tsaneva-AtanasovaDepartment of Mathematics, College of Engineering, Mathematics and Physical Sciences & EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, EX4 4QJ, UK.
Nathan EdwardsDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20057, USA.
Anelia HorvathMcCormick Genomics and Proteomics Center, Department of Biochemistry and Molecular Medicine, The George Washington University, Washington, DC 20037, USA horvatha@gwu.edu.

Funding

Clinical and Translational Science Institute at Children's NationalUL1TR000075 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2012 to 2015
$13.7M
NCATS NIH HHS UL1 TR000075
6 · The paper itself

Abstract

We introduce RNA2DNAlign, a computational framework for quantitative assessment of allele counts across paired RNA and DNA sequencing datasets. RNA2DNAlign is based on quantitation of the relative abundance of variant and reference read counts, followed by binomial tests for genotype and allelic status at SNV positions between compatible sequences. RNA2DNAlign detects positions with differential allele distribution, suggesting asymmetries due to regulatory/structural events. Based on the type of asymmetry, RNA2DNAlign outlines positions likely to be implicated in RNA editing, allele-specific expression or loss, somatic mutagenesis or loss-of-heterozygosity (the first three also in a tumor-specific setting). We applied RNA2DNAlign on 360 matching normal and tumor exomes and transcriptomes from 90 breast cancer patients from TCGA. Under high-confidence settings, RNA2DNAlign identified 2038 distinct SNV sites associated with one of the aforementioned asymetries, the majority of which have not been linked to functionality before. The performance assessment shows very high specificity and sensitivity, due to the corroboration of signals across multiple matching datasets. RNA2DNAlign is freely available from http://github.com/HorvathLab/NGS as a self-contained binary package for 64-bit Linux systems.

Indexed as

Sequence Analysis, DNASequence Analysis, RNASoftwareAlgorithmsAllelesBreast NeoplasmsExomeFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansLoss of HeterozygosityPolymorphism, Single NucleotideRNA EditingSensitivity and SpecificityTranscriptome

Identifiers

PMID27576531
PMCPMC5159535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.