Evidence map›Paper›PMID 17542012›Full record

ArticleHepatology (Baltimore, Md.)2007

Genome-level analysis of genetic regulation of liver gene expression networks.

Daniel Gatti, Akira Maki, Elissa J Chesler, Roumyana Kirova, Oksana Kosyk, Lu Lu, Kenneth F Manly, Robert W Williams, Andy Perkins, Michael A Langston and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 59 citations in OpenAlex.

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  6. Population-based dose-response analysis of liver transcriptional response to trichloroethylene in mouse.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
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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

12 authors at 4 institutions in 2 countries.

Daniel GattiDepartment of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Akira Maki
Elissa J Chesler
Roumyana Kirova
Oksana Kosyk
Lu Lu
Kenneth F Manly
Robert W Williams
Andy Perkins
Michael A Langston
David W Threadgill
Ivan Rusyn
University of North Carolina at Chapel Hill · USUniversity of Tennessee Health Science Center · USOak Ridge National Laboratory · USUniversity of Tennessee at Knoxville · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Profiles of Sucsceptibility to Toxicant StressU19ES011391 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAUFMANN, WILLIAM K · 2001 to 2007
$8.4M
Systems Genetics of Alcohol Response and Stress Effects in CNSU01AA013499 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2002 to 2016
$4.8M
Metabolomic and Toxicogenetic Study of Ethanol ToxicityR01AA016258 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUSYN, IVAN · 2005 to 2009
$2.5M
Genetic Analysis of Ethanol-Mediated Stress ReductionU01AA014425 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI LU, LU · 2004 to 2008
$2.1M
INIA: Genotyping CoreU01AA013513 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLLIAMS, ROBERT W · 2002 to 2006
$753k
NIAAA NIH HHS AA013499NIAAA NIH HHS AA013513NIAAA NIH HHS AA014425NIAAA NIH HHS AA016258NIAAA NIH HHS R01 AA016258NIAAA NIH HHS U01 AA013499NIAAA NIH HHS U01 AA013513NIEHS NIH HHS ES010126NIEHS NIH HHS ES011391NIEHS NIH HHS P30 ES010126NIEHS NIH HHS U19 ES011391
6 · The paper itself

Abstract

unlabelledThe liver is the primary site for the metabolism of nutrients, drugs, and chemical agents. Although metabolic pathways are complex and tightly regulated, genetic variation among individuals, reflected in variations in gene expression levels, introduces complexity into research on liver disease. This study dissected genetic networks that control liver gene expression through the combination of large-scale quantitative mRNA expression analysis with genetic mapping in a reference population of BXD recombinant inbred mouse strains for which extensive single-nucleotide polymorphism, haplotype, and phenotypic data are publicly available. We profiled gene expression in livers of naive mice of both sexes from C57BL/6J, DBA/2J, B6D2F1, and 37 BXD strains using Agilent oligonucleotide microarrays. These data were used to map quantitative trait loci (QTLs) responsible for variations in the expression of about 19,000 transcripts. We identified polymorphic local and distant QTLs, including several loci that control the expression of large numbers of genes in liver, by comparing the physical transcript position with the location of the controlling QTL.

conclusionThe data are available through a public web-based resource (www.genenetwork.org) that allows custom data mining, identification of coregulated transcripts and correlated phenotypes, cross-tissue, and cross-species comparisons, as well as testing of a broad array of hypotheses.

Indexed as

Gene Expression RegulationGene Regulatory NetworksAnimalsBrainGenotypeLiverMicePhenotypePolymerase Chain ReactionQuantitative Trait Loci

Identifiers

PMID17542012
PMCPMC3518845
OpenAlexW2147507929

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.