Evidence map›Paper›PMID 33796271›Full record

ArticleF1000Research2019

Fast effect size shrinkage software for beta-binomial models of allelic imbalance.

Joshua P Zitovsky, Michael I Love

Abstract read
In one paragraph

Article in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. ThemBio · 2026
    Article
  2. Article
  3. Article
  4. Long-read RNA sequencing reveals allele-specific NbioRxiv : the preprint server for biology · 2024
    Article
  5. Translatome analysis in acute ischemic stroke: Astrocytes and microglia exhibit differences in poststroke alternative splicing of expressed transcripts.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Inactivation ofFrontiers in microbiology · 2023
    Article
  13. Article
  14. Article
  15. 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

2 authors.

Joshua P ZitovskyDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA.ORCID 0000-0002-3662-6561
Michael I LoveDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA.ORCID 0000-0001-8401-0545

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIDIAN, MARIE, KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
A Modular Framework for Accurate, Interpretable, and Reproducible Analysis of Long Read RNA-Seq DataR01HG009937 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, Robert Patro · 2018 to 2026
$2.8M
pathQTL: Integrative Multi-Omics Causal Inference of Molecular Mechanisms Leading to Neuropsychiatric IllnessR01MH118349 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LOVE, MICHAEL ISAIAH, STEIN, JASON LOUIS · 2019 to 2023
$2.4M
Multi-tissue and network models for next-generation EQTL studiesR01HG009125 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NOBEL, ANDREW B, WRIGHT, FRED A. · 2016 to 2018
$1.1M
NCI NIH HHS P01 CA142538NHGRI NIH HHS R01 HG009125NHGRI NIH HHS R01 HG009937NIEHS NIH HHS P30 ES010126NIMH NIH HHS R01 MH118349
6 · The paper itself

Abstract

Allelic imbalance occurs when the two alleles of a gene are differentially expressed within a diploid organism and can indicate important differences in cis-regulation and epigenetic state across the two chromosomes. Because of this, the ability to accurately quantify the proportion at which each allele of a gene is expressed is of great interest to researchers. This becomes challenging in the presence of small read counts and/or sample sizes, which can cause estimators for allelic expression proportions to have high variance. Investigators have traditionally dealt with this problem by filtering out genes with small counts and samples. However, this may inadvertently remove important genes that have truly large allelic imbalances. Another option is to use pseudocounts or Bayesian estimators to reduce the variance. To this end, we evaluated the accuracy of four different estimators, the latter two of which are Bayesian shrinkage estimators: maximum likelihood, adding a pseudocount to each allele, approximate posterior estimation of GLM coefficients (apeglm) and adaptive shrinkage (ash). We also wrote C++ code to quickly calculate ML and apeglm estimates and integrated it into the

Indexed as

Allelic ImbalanceSoftwareAllelesBayes TheoremModels, StatisticalAllele-specific expression (ASE)Allelic imbalanceBeta-binomialBioconductorEmpirical BayesRNA-seqShrinkage estimationStatistical software

Identifiers

PMID33796271
PMCPMC7974632.2

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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.