Evidence map›Paper›PMID 28899996›Full record

ArticleGenetics2017

Prediction and Subtyping of Hypertension from Pan-Tissue Transcriptomic and Genetic Analyses.

Mahashweta Basu, Mahfuza Sharmin, Avinash Das, Nishanth Ulhas Nair, Kun Wang, Joo Sang Lee, Yen-Pei Christy Chang, Eytan Ruppin, Sridhar Hannenhalli

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 24% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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 at 2 institutions in 1 country.

Mahashweta BasuCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742.
Mahfuza SharminCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742.
Avinash DasCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742.
Nishanth Ulhas NairCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742.
Kun WangCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742.
Joo Sang LeeCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742.
Yen-Pei Christy ChangDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201.
Eytan RuppinCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742 sridhar@umiacs.umd.edu ruppin@umiacs.umd.edu.
Sridhar HannenhalliCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742 sridhar@umiacs.umd.edu ruppin@umiacs.umd.edu.ORCID 0000-0001-9603-7569
University of Maryland, College Park · USUniversity of Maryland, Baltimore · US

Funding

Genetic & Functional Analyses of Hypertension Susceptibility GenesR01HL088120 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI CHANG, YEN PEI CHRISTY · 2007 to 2017
$3.9M
Conundrums in Transcriptional RegulationR01GM100335 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HANNENHALLI, SRIDHAR · 2012 to 2015
$1.2M
NHLBI NIH HHS R01 HL088120NIGMS NIH HHS R01 GM100335
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Genetic Predisposition to DiseaseModels, GeneticPolymorphism, Single NucleotideTranscriptomeGene Regulatory NetworksGenetic HeterogeneityGenome-Wide Association StudyHumansHypertensionOrgan SpecificityQuantitative Trait Locicomplex diseasedifferential expressioneQTLGTExhypertensionpan-tissuesystemic disease

Identifiers

PMID28899996
PMCPMC5676229
OpenAlexW2754507000

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.