Evidence map›Paper›PMID 37873184›Full record

ArticlebioRxiv : the preprint server for biology2023

Identifying key underlying regulatory networks and predicting targets of orphan C/D box

Rachel B Gilmore, Yaling Liu, Christopher E Stoddard, Michael S Chung, Gordon G Carmichael, Justin Cotney

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Rachel B GilmoreDepartment of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
Yaling LiuDepartment of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
Christopher E StoddardDepartment of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
Michael S ChungDepartment of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
Gordon G CarmichaelDepartment of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
Justin CotneyDepartment of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
University of Connecticut · US

Funding

Unraveling mechanisms of genome regulation to understand and improvehuman healthR35GM119465 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI COTNEY, JUSTIN LEE · 2016 to 2025
$3.9M
Molecular underpinnings of Prader-Willi syndromeR01HD099975 · NICHD · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI CARMICHAEL, GORDON G, COTNEY, JUSTIN LEE · 2019 to 2023
$2.9M
The UConn/JAX-GM Training Program in Genomic ScienceT32HG010463 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Mark D ADAMS, Christine R Beck · 2020 to 2026
$1.5M
NHGRI NIH HHS T32 HG010463NICHD NIH HHS R01 HD099975NIGMS NIH HHS R35 GM119465
6 · The paper itself

Abstract

Prader-Willi syndrome (PWS) is a rare neurodevelopmental disorder characterized principally by initial symptoms of neonatal hypotonia and failure-to-thrive in infancy, followed by hyperphagia and obesity. It is well established that PWS is caused by loss of paternal expression of the imprinted region on chromosome 15q11-q13. While most PWS cases exhibit megabase-scale deletions of the paternal chromosome 15q11-q13 allele, several PWS patients have been identified harboring a much smaller deletion encompassing primarily

Identifiers

PMID37873184
PMCPMC10592975
OpenAlexW4387358679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.