Evidence map›Paper›PMID 21030601›Full record

ArticleJournal of the American Society of Nephrology : JASN2011

Uncovering genes and regulatory pathways related to urinary albumin excretion.

Rachael S Hageman, Magalie S Leduc, Christina R Caputo, Shirng-Wern Tsaih, Gary A Churchill, Ron Korstanje

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Dissection of complex gene expression using the combined analysis of pleiotropy and epistasis.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2014
    Article
  5. A major X-linked locus affects kidney function in mice.Molecular genetics and genomics : MGG · 2012
    Article
  6. The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.Mammalian genome : official journal of the International Mammalian Genome Society · 2012
    Article
  7. Identification of the nephropathy-susceptibility locus HIVAN4.Journal of the American Society of Nephrology : JASN · 2011
    Article
  8. Genetic loci that affect aristolochic acid-induced nephrotoxicity in the mouse.American journal of physiology. Renal physiology · 2011
    Article
  9. Article
  10. 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

6 authors at 1 institution in 1 country.

Rachael S HagemanThe Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA.
Magalie S Leduc
Christina R Caputo
Shirng-Wern Tsaih
Gary A Churchill
Ron Korstanje
Jackson Laboratory · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Anna Karolina Palucka · 1985 to 2026
$61.9M
UNC and PERLEGEN, IncP50GM076468 · NIGMS · JACKSON LABORATORY · PI PETKOV, PETKO M · 2006 to 2015
$31.0M
Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
Identifying Kidney Disease Genes Through MutagenesisR01DK069381 · NIDDK · JACKSON LABORATORY · PI KORSTANJE, RONNY · 2005 to 2009
$1.6M
Bayesian Dynamic Genome Scale Modeling of HDL Cholesterol TransportF32HL095240 · NHLBI · JACKSON LABORATORY · PI HAGEMAN, RACHAEL · 2009 to 2011
$135k
NCI NIH HHS CA03496NCI NIH HHS P30 CA034196NHLBI NIH HHS 1F32 HL095240-02NHLBI NIH HHS F32 HL095240NIDDK NIH HHS DK0069381NIDDK NIH HHS R01 DK069381NIGMS NIH HHS GM076468NIGMS NIH HHS P50 GM076468NIGMS NIH HHS R01 GM070683
6 · The paper itself

Abstract

Identifying the genes underlying quantitative trait loci (QTL) for disease is difficult, mainly because of the low resolution of the approach and the complex genetics involved. However, recent advances in bioinformatics and the availability of genetic resources now make it possible to narrow the genetic intervals, test candidate genes, and define pathways affected by these QTL. In this study, we mapped three significant QTL and one suggestive QTL for an increased albumin-to-creatinine ratio on chromosomes (Chrs) 1, 4, 15, and 17, respectively, in a cross between the inbred MRL/MpJ and SM/J strains of mice. By combining data from several sources and by utilizing gene expression data, we identified Tlr12 as a likely candidate for the Chr 4 QTL. Through the mapping of 33,881 transcripts measured by microarray on kidney RNA from each of the 173 male F2 animals, we identified several downstream pathways associated with these QTL, including the glycan degradation, leukocyte migration, and antigen-presenting pathways. We demonstrate that by combining data from multiple sources, we can identify not only genes that are likely to be causal candidates for QTL but also the pathways through which these genes act to alter phenotypes. This combined approach provides valuable insights into the causes and consequences of renal disease.

Indexed as

AlbuminsAlbuminuriaAnimalsCell MovementCreatinineFemaleLeukocytesMaleMiceMice, Inbred StrainsModels, AnimalPolysaccharidesQuantitative Trait LociSignal TransductionToll-Like ReceptorsAlbuminsCreatininePolysaccharidesTlr12 protein, mouseToll-Like Receptors

Identifiers

PMID21030601
PMCPMC3014036
OpenAlexW2113125687

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.