Evidence map›Paper›PMID 26568645›Full record

ArticleJournal of the American Statistical Association

Proper Use of Allele-Specific Expression Improves Statistical Power for

Yi-Juan Hu, Wei Sun, Jung-Ying Tzeng, Charles M Perou

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Allele-specific expression in the brain links genetic risk and cortical thinning in psychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  2. SNP-Based and Kmer-Based eQTL Analysis Using Transcriptome Data.Animals : an open access journal from MDPI · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
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  12. Strategies for eQTL mapping in allopolyploid organisms.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  13. Article
  14. Mapping Tumor-Specific Expression QTLs in Impure Tumor Samples.Journal of the American Statistical Association · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Allelic Switching ofInternational journal of genomics · 2019
    Article
  20. 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

4 authors.

Yi-Juan HuDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322.
Wei SunDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC 27599.
Jung-Ying TzengDepartment of Statistics, North Carolina State University, Raleigh, NC 27695.
Charles M PerouDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599.

Funding

Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIDIAN, MARIE, KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Gene Expression Patterns in Human Tumors Identified Using Transcript SequencingU24CA143848 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAYES, DAVID N, PEROU, CHARLES M · 2009 to 2016
$20.8M
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
Biology of Race and Progression Associated Breast Tumor Gene ExpressionU01CA179715 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, TROESTER, MELISSA A. · 2014 to 2018
$1.6M
NCI NIH HHS P01 CA142538NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA082659NCI NIH HHS U01 CA179715NCI NIH HHS U24 CA143848NIGMS NIH HHS R01 GM105785
6 · The paper itself

Abstract

Studies of expression quantitative trait loci (eQTLs) offer insight into the molecular mechanisms of loci that were found to be associated with complex diseases and the mechanisms can be classified into

Indexed as

ASEeQTL studyGene expressionHaplotypeMaximum likelihood

Identifiers

PMID26568645
PMCPMC4642818

What OpenQuestion holds

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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.