Evidence map›Paper›PMID 22939713›Full record

ArticleCell2012

Systems genetics of metabolism: the use of the BXD murine reference panel for multiscalar integration of traits.

Pénélope A Andreux, Evan G Williams, Hana Koutnikova, Riekelt H Houtkooper, Marie-France Champy, Hugues Henry, Kristina Schoonjans, Robert W Williams, Johan Auwerx

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

131 citing papers in PubMed, 1 synthesis or guideline pooled it, 234 citations in OpenAlex.

  1. Pooled it
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71 more citing papers are in PubMed but not listed here.

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 4 institutions in 3 countries.

Pénélope A AndreuxLaboratory of Integrative and Systems Physiology, School of Life Sciences, École Polytechnique Fédérale de Lausanne 1015, Switzerland.
Evan G Williams
Hana Koutnikova
Riekelt H Houtkooper
Marie-France Champy
Hugues Henry
Kristina Schoonjans
Robert W Williams
Johan Auwerx
École Polytechnique Fédérale de Lausanne · CHInstitut Clinique de la Souris · FRUniversity Hospital of Lausanne · CHUniversity of Tennessee Health Science Center · US

Funding

Informatics Center for Mouse NeurogeneticsP20DA021131 · NIDA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2005 to 2009
$5.0M
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
INIA-STRESS: Informatics and Analysis CoreU01AA016662 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI WILLIAMS, ROBERT W. · 2007 to 2016
$2.9M
Genetic Analysis of Ethanol-Mediated Stress ReductionU01AA014425 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI LU, LU · 2004 to 2008
$2.1M
Systems Genetics of the HPAU01AA017590 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2008 to 2011
$912k
European Research Council 231138NIAAA NIH HHS U01 AA013499NIAAA NIH HHS U01 AA014425NIAAA NIH HHS U01 AA016662NIAAA NIH HHS U01 AA017590NIAAA NIH HHS U01AA14425NIAAA NIH HHS UO1AA13499NIDA NIH HHS P20 DA021131NIDA NIH HHS P20-DA 21131
6 · The paper itself

Abstract

Metabolic homeostasis is achieved by complex molecular and cellular networks that differ significantly among individuals and are difficult to model with genetically engineered lines of mice optimized to study single gene function. Here, we systematically acquired metabolic phenotypes by using the EUMODIC EMPReSS protocols across a large panel of isogenic but diverse strains of mice (BXD type) to study the genetic control of metabolism. We generated and analyzed 140 classical phenotypes and deposited these in an open-access web service for systems genetics (www.genenetwork.org). Heritability, influence of sex, and genetic modifiers of traits were examined singly and jointly by using quantitative-trait locus (QTL) and expression QTL-mapping methods. Traits and networks were linked to loci encompassing both known variants and novel candidate genes, including alkaline phosphatase (ALPL), here linked to hypophosphatasia. The assembled and curated phenotypes provide key resources and exemplars that can be used to dissect complex metabolic traits and disorders.

Indexed as

Disease Models, AnimalAlkaline PhosphataseAnimalsCrosses, GeneticFemaleHomeostasisHumansHypophosphatasiaMaleMetabolic DiseasesMiceMice, Inbred C57BLMice, Inbred DBAPolymorphism, GeneticQuantitative Trait LociReference StandardsAlkaline PhosphataseVitamin B 6

Identifiers

PMID22939713
PMCPMC3604687
OpenAlexW2007056893

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.