Evidence map›Paper›PMID 30852652›Full record

ArticleHuman genetics2019

The metabolic network coherence of human transcriptomes is associated with genetic variation at the cadherin 18 locus.

Kristina Schlicht, Piotr Nyczka, Amke Caliebe, Sandra Freitag-Wolf, Annique Claringbould, Lude Franke, Urmo Võsa, BIOS Consortium, Sharon L R Kardia, Jennifer A Smith and 13 more

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

Article in Human genetics, 2019. 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
0.5field-weighted citation impact, top 36% 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. Article
  2. Article
  3. 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

23 authors at 8 institutions in 3 countries.

Kristina SchlichtInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, 24105, Kiel, Germany.
Piotr NyczkaDepartment of Life Sciences and Chemistry, Jacobs University, 28759, Bremen, Germany.
Amke CaliebeInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, 24105, Kiel, Germany.
Sandra Freitag-WolfInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, 24105, Kiel, Germany.
Annique ClaringbouldDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, The Netherlands.
Lude FrankeDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, The Netherlands.
Urmo VõsaDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, The Netherlands.
BIOS Consortium
Sharon L R KardiaDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA.
Jennifer A SmithDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA.
Wei ZhaoDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA.
Christian GiegerResearch Unit Molecular Epidemiology, Helmholtz-Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz-Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Holger ProkischInstitute of Human Genetics, Helmholtz-Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Konstantin StrauchInstitute of Genetic Epidemiology, Helmholtz-Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
KORA Study Group
Hansjörg BaurechtDepartment of Dermatology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany.
Stephan WeidingerDepartment of Dermatology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany.
Philip RosenstielInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, 24105, Kiel, Germany.
Marc-Thorsten HüttDepartment of Life Sciences and Chemistry, Jacobs University, 28759, Bremen, Germany.
Carolin KnechtInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, 24105, Kiel, Germany.
Silke SzymczakInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, 24105, Kiel, Germany.
Michael KrawczakInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, 24105, Kiel, Germany. krawczak@medinfo.uni-kiel.de.ORCID http://orcid.org/0000-0003-2603-1502
Christian-Albrechts-Universität zu Kiel · DEConstructor University · DEUniversity Medical Center Groningen · NLHelmholtz Zentrum München · DEUniversity of Michigan · USUniversity Hospital Regensburg · DEUniversity Hospital Schleswig-Holstein · DEZimmer Biomet (Netherlands) · NL

Funding

Genetics of Microangiopathic Brain InjuryR01NS041558 · NINDS · MAYO CLINIC ROCHESTER · PI TURNER, STEPHEN T · 2001 to 2010
$5.8M
Genomic Predictors of Arteriosclerosis in HypertensivesR01HL087660 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2007 to 2009
$5.1M
GENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPSU01HL054457 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2000 to 2004
$2.8M
Epigenetics of Arteriosclerosis in African American Hypertensive SibshipsR01HL133221 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMITH, JENNIFER ANN · 2016 to 2019
$2.2M
Genetic Mechanisms of Arteriosclerosis in Hypertensive SibshipsR01HL119443 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2014 to 2017
$2.1M
GENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPSU10HL054457 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SING, CHARLES F · 1995 to 1999
–
Bundesministerium für Bildung und Forschung 01ZX1306ABundesministerium für Bildung und Forschung 01ZX1306DBundesministerium für Bildung und Forschung 01ZX1510NHLBI NIH HHS R01 HL087660NHLBI NIH HHS R01 HL119443NHLBI NIH HHS R01 HL133221NHLBI NIH HHS U01 HL054457NHLBI NIH HHS U10 HL054457NINDS NIH HHS R01 NS041558
6 · The paper itself

Abstract

Metabolic coherence (MC) is a network-based approach to dimensionality reduction that can be used, for example, to interpret the joint expression of genes linked to human metabolism. Computationally, the derivation of 'transcriptomic' MC involves mapping of an individual gene expression profile onto a gene-centric network derived beforehand from a metabolic network (currently Recon2), followed by the determination of the connectivity of a particular, profile-specific subnetwork. The biological significance of MC has been exemplified previously in the context of human inflammatory bowel disease, among others, but the genetic architecture of this quantitative cellular trait is still unclear. Therefore, we performed a genome-wide association study (GWAS) of MC in the 1000 Genomes/ GEUVADIS data (n = 457) and identified a solitary genome-wide significant association with single nucleotide polymorphisms (SNPs) in the intronic region of the cadherin 18 (CDH18) gene on chromosome 5 (lead SNP: rs11744487, p = 1.2 × 10

Indexed as

Genetic LociTranscriptomeCadherinsCohort StudiesFemaleGene Regulatory NetworksGenome-Wide Association StudyHumansMaleMetabolic Networks and PathwaysMetabolismPolymorphism, Single NucleotideQuantitative Trait LociCadherinsCDH18 protein, human

Identifiers

PMID30852652
PMCPMC6483969
OpenAlexW2921070922

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.