Evidence map›Paper›PMID 27287925›Full record

ArticlePhysiological genomics2016

Comprehensive coverage of cardiovascular disease data in the disease portals at the Rat Genome Database.

Shur-Jen Wang, Stanley J F Laulederkind, G Thomas Hayman, Victoria Petri, Jennifer R Smith, Marek Tutaj, Rajni Nigam, Melinda R Dwinell, Mary Shimoyama

Abstract read
In one paragraph

Article in Physiological genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Shur-Jen WangDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and sjwang@mcw.edu.
Stanley J F LaulederkindDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and.
G Thomas HaymanDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and.
Victoria PetriDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and.
Jennifer R SmithDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and.
Marek TutajDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and.
Rajni NigamDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and.
Melinda R DwinellDepartment of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Mary ShimoyamaDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and.

Funding

RAT GENOME DATABASER01HL064541 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI ANNE E. KWITEK · 1999 to 2026
$50.0M
NHLBI NIH HHS R01 HL064541
6 · The paper itself

Abstract

Cardiovascular diseases are complex diseases caused by a combination of genetic and environmental factors. To facilitate progress in complex disease research, the Rat Genome Database (RGD) provides the community with a disease portal where genome objects and biological data related to cardiovascular diseases are systematically organized. The purpose of this study is to present biocuration at RGD, including disease, genetic, and pathway data. The RGD curation team uses controlled vocabularies/ontologies to organize data curated from the published literature or imported from disease and pathway databases. These organized annotations are associated with genes, strains, and quantitative trait loci (QTLs), thus linking functional annotations to genome objects. Screen shots from the web pages are used to demonstrate the organization of annotations at RGD. The human cardiovascular disease genes identified by annotations were grouped according to data sources and their annotation profiles were compared by in-house tools and other enrichment tools available to the public. The analysis results show that the imported cardiovascular disease genes from ClinVar and OMIM are functionally different from the RGD manually curated genes in terms of pathway and Gene Ontology annotations. The inclusion of disease genes from other databases enriches the collection of disease genes not only in quantity but also in quality.

Indexed as

AnimalsCardiovascular DiseasesDatabases, GeneticGene OntologyGenomeGenomicsHumansMolecular Sequence AnnotationQuantitative Trait LociRatsanimal models of human diseasecardiovascular diseasefunctional genomicsmodel organism database

Identifiers

PMID27287925
PMCPMC5005459

What OpenQuestion holds

Textmetadata
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.