Evidence map›Paper›PMID 18818683›Full record

ArticleKidney international2008

Characterization of large rearrangements in autosomal dominant polycystic kidney disease and the PKD1/TSC2 contiguous gene syndrome.

Mark B Consugar, Wai C Wong, Patrick A Lundquist, Sandro Rossetti, Vickie J Kubly, Denise L Walker, Laureano J Rangel, Richard Aspinwall, W Patrick Niaudet, Seza Ozen and 12 more

Abstract read
In one paragraph

Article in Kidney international, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
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

65 citing papers in PubMed.

  1. Can we further enrich autosomal dominant polycystic kidney disease clinical trials for rapidly progressive patients? Application of the PROPKD score in the TEMPO trial.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2018
    Trial
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  14. Novel method for the genomic analysis ofFrontiers in cell and developmental biology · 2022
    Article
  15. Article
  16. Article
  17. Patients with Protein-TruncatingClinical journal of the American Society of Nephrology : CJASN · 2021
    Article
  18. Article
  19. Article
  20. Article

5 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

22 authors.

Mark B ConsugarDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA.
Wai C Wong
Patrick A Lundquist
Sandro Rossetti
Vickie J Kubly
Denise L Walker
Laureano J Rangel
Richard Aspinwall
W Patrick Niaudet
Seza Ozen
Albert David
Milen Velinov
Eric J Bergstralh
Kyongtae T Bae
Arlene B Chapman
Lisa M Guay-Woodford
Jared J Grantham
Vicente E Torres
Julian R Sampson
Brian D Dawson
Peter C Harris
CRISP Consortium

Funding

Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
ADPKD:Disease Spectrum &Genotype-Phenotype CorrelationsR01DK058816 · NIDDK · MAYO CLINIC ROCHESTER · PI Peter C. Harris · 2001 to 2026
$11.3M
DATA COORDINATING AND IMAGING ANALYSIS CENTER (DCIAC)U01DK056961 · NIDDK · WASHINGTON UNIVERSITY · PI BAE, KYONGTAE T, LANDSITTEL, DOUGLAS P · 1999 to 2016
$8.3M
The Early Collaborative Clinical Studies in PKD: The C*U01DK056956 · NIDDK · UNIVERSITY OF CHICAGO · PI CHAPMAN, ARLENE B · 2000 to 2016
$6.0M
Polycystic Kidney Disease: Innovative Imaging to Assess Progression (PCC)U01DK056957 · NIDDK · MAYO CLINIC ROCHESTER · PI TORRES, VICENTE E · 2000 to 2014
$5.6M
Kansas Polycystic Kidney Imaging Program (CRISPII)U01DK056943 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI YU, ALAN S · 2000 to 2016
$5.5M
NCATS NIH HHS UL1 TR000454NIDDK NIH HHS DK56943NIDDK NIH HHS DK56956NIDDK NIH HHS DK56957NIDDK NIH HHS DK56961NIDDK NIH HHS DK58816NIDDK NIH HHS R01 DK058816NIDDK NIH HHS U01 DK056943NIDDK NIH HHS U01 DK056956NIDDK NIH HHS U01 DK056957NIDDK NIH HHS U01 DK056961
6 · The paper itself

Abstract

Large DNA rearrangements account for about 8% of disease mutations and are more common in duplicated genomic regions, where they are difficult to detect. Autosomal dominant polycystic kidney disease (ADPKD) is caused by mutations in either PKD1 or PKD2. PKD1 is located in an intrachromosomally duplicated region. A tuberous sclerosis gene, TSC2, lies immediately adjacent to PKD1 and large deletions can result in the PKD1/TSC2 contiguous gene deletion syndrome. To rapidly identify large rearrangements, a multiplex ligation-dependent probe amplification assay was developed employing base-pair differences between PKD1 and the six pseudogenes to generate PKD1-specific probes. All changes in a set of 25 previously defined deletions in PKD1, PKD2 and PKD1/TSC2 were detected by this assay and we also found 14 new mutations at these loci. About 4% of the ADPKD patients in the CRISP study were found to have gross rearrangements, and these accounted for about a third of base-pair mutation negative families. Sensitivity of the assay showed that about 40% of PKD1/TSC contiguous gene deletion syndrome families contained mosaic cases. Characterization of a family found to be mosaic for a PKD1 deletion is discussed here to illustrate family risk and donor selection considerations. Our assay improves detection levels and the reliability of molecular testing of patients with ADPKD.

Indexed as

Gene RearrangementDNA Mutational AnalysisFamily HealthFemaleGene DeletionHumansMaleMutationPedigreePolycystic Kidney, Autosomal DominantTRPP Cation ChannelsTuberous Sclerosis Complex 2 ProteinTumor Suppressor ProteinsTRPP Cation ChannelsTSC2 protein, humanTuberous Sclerosis Complex 2 ProteinTumor Suppressor Proteins

Identifiers

PMID18818683
PMCPMC2756756

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Registered trials

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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.