Hageman1: eQTL research of urinary albumin excretion in MSxSM F2 intercross (2011)

Hageman RS, Leduc MS, Caputo CR, Tsaih SW, Churchill GA, Korstanje R. Uncovering genes and regulatory pathways related to urinary albumin excretion. J Am Soc Nephrol. 2011 Jan;22(1):73-8Epub 2010 Oct 28.   PubMed 21030601  

Hageman RS, Leduc MS, Korstanje R, Paigen B, Churchill GA. A Bayesian framework for inference of the genotype-phenotype map for segregating populations. Genetics. 2011 Apr;187(4):1163-70. Epub 2011 Jan 17.   PubMed 21242536     FullText


     
Hageman1 downloads
QTL projects have several available downloads.
Use the QTL Data Downloads button near the bottom of this page.
Participants R S Hageman
Gary A Churchill       The Jackson Laboratory Bar Harbor, ME
With: Leduc MS, Caputo CR, Tsaih SW, Korstanje R
ContactGary A Churchill     gary.churchill@jax.org
AffiliationChurchill Group QTL Archive
AcknowledgementsThis work was funded with grants from DK069381 from the NIDDK (R.K.), the NHLBI NSRA fellowship 1F32 HL095240-02 (RSH), the NIGMS GM076468 (G.A.C.), an American Heart Association fellowship (M.S.L.), AG-NS-0421-07 (S.-W.T.) from the Ellison Medical Foundation, a Glenn Award for Research in Biologic Mechanisms of Aging (S.-W.T.) from the Glenn Foundation for Medical Research, a National Cancer Institute Cancer Core grant (CA034196) to the Jackson Laboratory and National Heart, Lung, and Blood Institute grants HL077796 and HL081162 (to B.P.).
Project type QTL Archive data set
MPD identifiersHageman1     MPD:246
Data changelog No updates/corrections.       Initial release date: 07/2011.
To identify the genes underlying chronic kidney disease, a F2 intercross between the kidney damage-susceptible SM/J and the nonsusceptible MRL/MpJ mouse were generated to do a QTL study in renal phenotypes. In addition, a kidney expression profile from each mouse was combined with QTL data. These combined data helped the authors identify not only genes that are likely to be causal candidates for QTL but also pathways where these genes act to alter phenotypes. For details see the associated publications.

Being an eQTL study, this data set is different from most others in the QTL Archive. There are several traditional phenotypes plus 33,871 gene expression probesets each of which can be analysed as a phenotype. To avoid an extremely wide data set the columns and rows are transposed. For more details, see note under Phenotype Data, below.

Gene expression microarray platform: Mouse Gene 1.0 ST Affymetrix chip.


QTL data set parameters:
Progenitor strains MRL/MpJ     SM/J    
Cross direction notation(MRL x SM) F1 x (MRL x SM) F1
Cross typeF2 intercross
Population size 0 ♀     173 ♂
Age8-10wks


Measured phenotypes:       To access these data use the QTL Data Downloads button at bottom of page.
Data set MPD ID Procedure / Protocol Drug or Challenge Phenotype Measure Panel No. of Strains Sex Age Sample Size (Avg)
Hageman1 24601 urinalysis (none) urinary albumin-to-creatinine ratio   [mg/g]  ACR QTL population m 8-10wks N=173
Hageman1 24602 urinalysis (none) ACR, log+1 transformed   [log(mg/g)]  log_ACR QTL population m 8-10wks N=173

Associated genomic features
MGI-curated genes / genomic features that have been associated with this data set:
Albq10   Albq11   Albq4  


Project / data set:   Hageman1     a.k.a. Hageman_2011
Excel file:   Data_Description_MRLxSM_Hageman2011.xlsx
CSV file:   Hageman2011_MRLxSM_B37_Data.csv.gz
Readme / text file:   readme_Hageman2011.txt
QC plots, figures, etc.:   QCReport_Hageman2011.pdf