Evidence map›Paper›PMID 22859403›Full record

ArticleAmerican journal of physiology. Renal physiology2012

Genetic analysis of albuminuria in collaborative cross and multiple mouse intercross populations.

Jill Thaisz, Shirng-Wern Tsaih, Minjie Feng, Vivek M Philip, Yunyu Zhang, Liane Yanas, Susan Sheehan, Lingfei Xu, Darla R Miller, Beverly Paigen and 3 more

Abstract read
In one paragraph

Article in American journal of physiology. Renal physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Indirect podocyte injury manifested in a partial podocytectomy mouse model.American journal of physiology. Renal physiology · 2021
    Article
  2. Article
  3. Review
  4. Article
  5. The Collaborative Cross mouse model for dissecting genetic susceptibility to infectious diseases.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Genetic determinants of atherosclerosis, obesity, and energy balance in consomic mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Article
  12. Fine-mapping QTLs in advanced intercross lines and other outbred populations.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Review
  13. Out of the bottleneck: the Diversity Outcross and Collaborative Cross mouse populations in behavioral genetics research.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Review
  14. Review
  15. Mouse phenome database.Nucleic acids research · 2014
    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

13 authors at 3 institutions in 1 country.

Jill ThaiszNovartis Institute for BioMedical Research, 1 Health Plaza, Bldg. 437, Rm. 4331, East Hanover, NJ 07936, USA.
Shirng-Wern Tsaih
Minjie Feng
Vivek M Philip
Yunyu Zhang
Liane Yanas
Susan Sheehan
Lingfei Xu
Darla R Miller
Beverly Paigen
Elissa J Chesler
Gary A Churchill
Keith Dipetrillo
Novartis (United States) · USJackson Laboratory · USOak Ridge National Laboratory · US

Funding

UNC and PERLEGEN, IncP50GM076468 · NIGMS · JACKSON LABORATORY · PI PETKOV, PETKO M · 2006 to 2015
$31.0M
NIGMS NIH HHS GM070683NIGMS NIH HHS GM076468NIGMS NIH HHS P50 GM076468
6 · The paper itself

Abstract

Albuminuria is an important marker of nephropathy that increases the risk of progressive renal and chronic cardiovascular diseases. The genetic basis of kidney disease is well-established in humans and rodent models, but the causal genes remain to be identified. We applied several genetic strategies to map and refine genetic loci affecting albuminuria in mice and translated the findings to human kidney disease. First, we measured albuminuria in mice from 33 inbred strains, used the data for haplotype association mapping (HAM), and detected 10 genomic regions associated with albuminuria. Second, we performed eight F(2) intercrosses between genetically diverse strains to identify six loci underlying albuminuria, each of which was concordant to kidney disease loci in humans. Third, we used the Oak Ridge National Laboratory incipient Collaborative Cross subpopulation to detect an additional novel quantitative trait loci (QTL) underlying albuminuria. We also performed a ninth intercross, between genetically similar strains, that substantially narrowed an albuminuria QTL on Chromosome 17 to a region containing four known genes. Finally, we measured renal gene expression in inbred mice to detect pathways highly correlated with albuminuria. Expression analysis also identified Glcci1, a gene known to affect podocyte structure and function in zebrafish, as a strong candidate gene for the albuminuria QTL on Chromosome 6. Overall, these findings greatly enhance our understanding of the genetic basis of albuminuria in mice and may guide future studies into the genetic basis of kidney disease in humans.

Indexed as

Quantitative Trait LociAlbuminuriaAnimalsCrosses, GeneticGene ExpressionGenetic Association StudiesHaplotypesKidneyMiceMice, Inbred StrainsReceptors, Glucocorticoidglucocorticoid-induced transcript 1 protein, mouseReceptors, Glucocorticoid

Identifiers

PMID22859403
PMCPMC3469684
OpenAlexW2131176413

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.