Evidence map›Paper›PMID 26617424›Full record

ArticleJournal of the American Statistical Association

IsoDOT Detects Differential RNA-isoform Expression/Usage with respect to a Categorical or Continuous Covariate with High Sensitivity and Specificity.

Wei Sun, Yufeng Liu, James J Crowley, Ting-Hued Chen, Hua Zhou, Haitao Chu, Shunping Huang, Pei-Fen Kuan, Yuan Li, Darla R Miller and 7 more

Abstract read
In one paragraph

Article in Journal of the American Statistical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Regression Models For Multivariate Count Data.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2017
    Article
  7. 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

17 authors.

Wei SunDepartment of Biostatistics, Department of Genetics, UNC Chapel Hill, NC 27599.
Yufeng LiuDepartment of Statistics and Operations Research, Department of Genetics, Department and Biostatistics, UNC Chapel Hill.
James J CrowleyDepartment of Genetics, UNC Chapel Hill.
Ting-Hued ChenNational Cancer Institute.
Hua ZhouDepartment of Statistics, NC State University.
Haitao ChuDepartment of Biostatistics, University of Minnesota.
Shunping HuangSAS Institute Inc.
Pei-Fen KuanDepartment of Applied Mathematics and Statistics, Stony Brook University.
Yuan LiDepartment of Statistics, NC State University.
Darla R MillerDepartment of Genetics, Lineberger Comprehensive Cancer Center, UNC Chapel Hill.
Ginger D ShawDepartment of Genetics, Lineberger Comprehensive Cancer Center, UNC Chapel Hill.
Yichao WuDepartment of Statistics, NC State University.
Vasyl ZhabotynskyDepartment of Biostatistics, UNC Chapel Hill.
Leonard McMillanDepartment of Computer Science, UNC Chapel Hill.
Fei ZouDepartment of Biostatistics, UNC Chapel Hill.
Patrick F SullivanDepartment of Genetics, Department of Psychiatry, Department of Epidemiology, UNC Chapel Hill.
Fernando Pardo-Manuel de VillenaDepartment of Genetics, UNC Chapel Hill.

Funding

Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
Statistical Methods for RNA-seq Data AnalysisR01GM105785 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wei Sun · 2014 to 2026
$4.6M
STATISTICAL METHODS IN CURRENT CANCER RESEARCHR01CA082659 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIN, DANYU · 2000 to 2016
$3.7M
An Interdisciplinary program for systems genomics of complex behaviorsP50HG006582 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PARDO-MANUEL DE VILLENA, FERNANDO · 2011 to 2013
$2.6M
Robust Methods for Complex Trait Mapping with Collaborative CrossR01GM074175 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZOU, FEI · 2006 to 2014
$1.7M
Flexible statistical machine learning techniques for cancer-related dataR01CA149569 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIU, YUFENG, WU, YICHAO · 2010 to 2014
$1.5M
Systems approaches to link tissue-specific expression to diseaseR01MH101819 · NIMH · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI NOBEL, ANDREW B, WRIGHT, FRED A. · 2013 to 2015
$1.3M
Systems Genetics of Fluoxetine-Induced Neurogenesis and Antidepressant ResponseK01MH094406 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CROWLEY, JAMES JOSEPH · 2012 to 2015
$588k
Dissect genetic basis of cancer using allele-specific gene expressionR03CA167684 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUN, WEI · 2012 to 2013
$140k
NCI NIH HHS R01 CA082659NCI NIH HHS R01 CA149569NCI NIH HHS R03 CA167684NHGRI NIH HHS P50 HG006582NHGRI NIH HHS R01 HG006139NIGMS NIH HHS R01 GM074175NIGMS NIH HHS R01 GM105785NIMH NIH HHS K01 MH094406NIMH NIH HHS R01 MH101819
6 · The paper itself

Abstract

We have developed a statistical method named IsoDOT to assess differential isoform expression (DIE) and differential isoform usage (DIU) using RNA-seq data. Here isoform usage refers to relative isoform expression given the total expression of the corresponding gene. IsoDOT performs two tasks that cannot be accomplished by existing methods: to test DIE/DIU with respect to a continuous covariate, and to test DIE/DIU for one case versus one control. The latter task is not an uncommon situation in practice, e.g., comparing the paternal and maternal alleles of one individual or comparing tumor and normal samples of one cancer patient. Simulation studies demonstrate the high sensitivity and specificity of IsoDOT. We apply IsoDOT to study the effects of haloperidol treatment on the mouse transcriptome and identify a group of genes whose isoform usages respond to haloperidol treatment.

Indexed as

differential isoform expressiondifferential isoform usageisoformpenalized regressionRNA-seq

Identifiers

PMID26617424
PMCPMC4662594

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.