Evidence map›Paper›PMID 26567549›Full record

ArticleNucleic acids research2016

GEneSTATION 1.0: a synthetic resource of diverse evolutionary and functional genomic data for studying the evolution of pregnancy-associated tissues and phenotypes.

Mara Kim, Brian A Cooper, Rohit Venkat, Julie B Phillips, Haley R Eidem, Jibril Hirbo, Sashank Nutakki, Scott M Williams, Louis J Muglia, J Anthony Capra and 4 more

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
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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

14 authors.

Mara KimDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Brian A CooperDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Rohit VenkatDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Julie B PhillipsDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Haley R EidemDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Jibril HirboDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Sashank NutakkiDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Scott M WilliamsDepartment of Genetics, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA.
Louis J MugliaCenter for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
J Anthony CapraDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37235, USA.
Kenneth PetrenDepartment of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA.
Patrick AbbotDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37235, USA antonis.rokas@vanderbilt.edu.
Kriston L McGaryDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.

Funding

BIDS: Vanderbilt Training Program in BIg Biomedical Data ScienceT32LM012412 · NLM · VANDERBILT UNIVERSITY · PI BLUME, JEFFREY D., GADD, CYNTHIA S · 2016 to 2020
$1.5M
GPU-Accelerated Parallel Computer for Drug Discovery ApplicationsS10OD020154 · OD · VANDERBILT UNIVERSITY · PI SMITH, JARROD ANSON · 2015 to 2015
$225k
NLM NIH HHS T32 LM012412
6 · The paper itself

Abstract

Mammalian gestation and pregnancy are fast evolving processes that involve the interaction of the fetal, maternal and paternal genomes. Version 1.0 of the GEneSTATION database (http://genestation.org) integrates diverse types of omics data across mammals to advance understanding of the genetic basis of gestation and pregnancy-associated phenotypes and to accelerate the translation of discoveries from model organisms to humans. GEneSTATION is built using tools from the Generic Model Organism Database project, including the biology-aware database CHADO, new tools for rapid data integration, and algorithms that streamline synthesis and user access. GEneSTATION contains curated life history information on pregnancy and reproduction from 23 high-quality mammalian genomes. For every human gene, GEneSTATION contains diverse evolutionary (e.g. gene age, population genetic and molecular evolutionary statistics), organismal (e.g. tissue-specific gene and protein expression, differential gene expression, disease phenotype), and molecular data types (e.g. Gene Ontology Annotation, protein interactions), as well as links to many general (e.g. Entrez, PubMed) and pregnancy disease-specific (e.g. PTBgene, dbPTB) databases. By facilitating the synthesis of diverse functional and evolutionary data in pregnancy-associated tissues and phenotypes and enabling their quick, intuitive, accurate and customized meta-analysis, GEneSTATION provides a novel platform for comprehensive investigation of the function and evolution of mammalian pregnancy.

Indexed as

Databases, GeneticEvolution, MolecularAnimalsCatsCattleDogsFemaleGene ExpressionGenomicsGuinea PigsHumansMiceOrgan SpecificityPhenotypePregnancyPregnancy Complications

Identifiers

PMID26567549
PMCPMC4702823

What OpenQuestion holds

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Registered trials

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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.