Evidence map›Paper›PMID 21622629›Full record

ArticleJournal of lipid research2011

Integration of QTL and bioinformatic tools to identify candidate genes for triglycerides in mice.

Magalie S Leduc, Rachael S Hageman, Ricardo A Verdugo, Shirng-Wern Tsaih, Kenneth Walsh, Gary A Churchill, Beverly Paigen

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. The Biochemical journal · 2017
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  14. Epigenetic basis of regeneration: analysis of genomic DNA methylation profiles in the MRL/MpJ mouse.DNA research : an international journal for rapid publication of reports on genes and genomes · 2013
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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

7 authors at 3 institutions in 1 country.

Magalie S LeducTexas Biomedical Research Institute, San Antonio, TX, USA.
Rachael S Hageman
Ricardo A Verdugo
Shirng-Wern Tsaih
Kenneth Walsh
Gary A Churchill
Beverly Paigen
Jackson Laboratory · USMedical College of Wisconsin · USTexas Biomedical Research Institute · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Anna Karolina Palucka · 1985 to 2026
$61.9M
Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
From QTL to Gene for HDL CholesterolR37HL077796 · NHLBI · JACKSON LABORATORY · PI PAIGEN, BEVERLY J · 2009 to 2018
$4.3M
Cloning QTL Genes for Plasma HDL CholesterolR01HL081162 · NHLBI · JACKSON LABORATORY · PI KORSTANJE, RONNY · 2006 to 2013
$3.3M
From QTL to Gene for HDL CholesterolR01HL077796 · NHLBI · JACKSON LABORATORY · PI PAIGEN, BEVERLY J · 2004 to 2008
$2.1M
NCI NIH HHS CA-034196NCI NIH HHS P30 CA034196NHLBI NIH HHS HL-077796NHLBI NIH HHS HL-081162NHLBI NIH HHS R01 HL077796NHLBI NIH HHS R01 HL081162NHLBI NIH HHS R37 HL077796NIGMS NIH HHS R01 GM070683
6 · The paper itself

Abstract

To identify genetic loci influencing lipid levels, we performed quantitative trait loci (QTL) analysis between inbred mouse strains MRL/MpJ and SM/J, measuring triglyceride levels at 8 weeks of age in F2 mice fed a chow diet. We identified one significant QTL on chromosome (Chr) 15 and three suggestive QTL on Chrs 2, 7, and 17. We also carried out microarray analysis on the livers of parental strains of 282 F2 mice and used these data to find cis-regulated expression QTL. We then narrowed the list of candidate genes under significant QTL using a "toolbox" of bioinformatic resources, including haplotype analysis; parental strain comparison for gene expression differences and nonsynonymous coding single nucleotide polymorphisms (SNP); cis-regulated eQTL in livers of F2 mice; correlation between gene expression and phenotype; and conditioning of expression on the phenotype. We suggest Slc25a7 as a candidate gene for the Chr 7 QTL and, based on expression differences, five genes (Polr3 h, Cyp2d22, Cyp2d26, Tspo, and Ttll12) as candidate genes for Chr 15 QTL. This study shows how bioinformatics can be used effectively to reduce candidate gene lists for QTL related to complex traits.

Indexed as

Quantitative Trait LociAnimalsChromosome MappingChromosomes, MammalianComputational BiologyFemaleGene Expression ProfilingGene Expression RegulationHaplotypesHumansMaleMiceMice, Inbred StrainsMicroarray AnalysisPolymorphism, Single NucleotideTriglyceridesTriglycerides

Identifiers

PMID21622629
PMCPMC3151687
OpenAlexW2154829503

What Socratic 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 Socratic graph.