Evidence map›Paper›PMID 26503248›Full record

ArticleNucleic acids research2016

dbMAE: the database of autosomal monoallelic expression.

Virginia Savova, Jon Patsenker, Sébastien Vigneau, Alexander A Gimelbrant

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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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
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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.

Virginia SavovaDana-Farber Cancer Institute and Department of Genetics, Harvard Medical School, 450 Brookline Ave., Boston, MA 02215, USA Department of Systems Biology, Harvard Medical School, 200 Longwood Ave., Boston, MA 02215, USA Virginia_Savova@hms.harvard.edu.ORCID http://orcid.org/0000-0002-5387-4161
Jon PatsenkerDana-Farber Cancer Institute and Department of Genetics, Harvard Medical School, 450 Brookline Ave., Boston, MA 02215, USA.
Sébastien VigneauDana-Farber Cancer Institute and Department of Genetics, Harvard Medical School, 450 Brookline Ave., Boston, MA 02215, USA.ORCID http://orcid.org/0000-0002-9091-2067
Alexander A GimelbrantDana-Farber Cancer Institute and Department of Genetics, Harvard Medical School, 450 Brookline Ave., Boston, MA 02215, USA gimelbrant@mail.dfci.harvard.edu.

Funding

Mechanism and function of autosomal analog of X inactivationR01GM114864 · NIGMS · DANA-FARBER CANCER INST · PI GIMELBRANT, ALEXANDER · 2014 to 2018
$4.9M
(PQD4) Epigenetic loss of heterozygosity as a driver of the cancer field effectR21CA185000 · NCI · DANA-FARBER CANCER INST · PI GIMELBRANT, ALEXANDER, ZHAO, JEAN · 2014 to 2015
$406k
NCI NIH HHS R21 CA185000NIGMS NIH HHS R01 GM114864NIGMS NIH HHS R01GM114864PHS HHS NCRR 1S10RR028832-01
6 · The paper itself

Abstract

Recently, data on 'random' autosomal monoallelic expression has become available for the entire genome in multiple human and mouse tissues and cell types, creating a need for better access and dissemination. The database of autosomal monoallelic expression (dbMAE; https://mae.hms.harvard.edu) incorporates data from multiple recent reports of genome-wide analyses. These include transcriptome-wide analyses of allelic imbalance in clonal cell populations based on sequence polymorphisms, as well as indirect identification, based on a specific chromatin signature present in MAE gene bodies. Currently, dbMAE contains transcriptome-wide chromatin identification calls for 8 human and 21 mouse tissues, and describes over 16 000 murine and ∼ 700 human cases of directly measured biased expression, compiled from allele-specific RNA-seq and genotyping array data. All data are manually curated. To ensure cross-publication uniformity, we performed re-analysis of transcriptome-wide RNA-seq data using the same pipeline. Data are accessed through an interface that allows for basic and advanced searches; all source references, including raw data, are clearly described and hyperlinked. This ensures the utility of the resource as an initial screening tool for those interested in investigating the role of monoallelic expression in their specific genes and tissues of interest.

Indexed as

AllelesDatabases, GeneticGene Expression ProfilingAnimalsChromatinHumansMiceTranscriptomeChromatin

Identifiers

PMID26503248
PMCPMC4702807

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.