Evidence map›Paper›PMID 23434934›Full record

ArticleDiabetes2013

From single nucleotide polymorphism to transcriptional mechanism: a model for FRMD3 in diabetic nephropathy.

Sebastian Martini, Viji Nair, Sanjeevkumar R Patel, Felix Eichinger, Robert G Nelson, E Jennifer Weil, Marcus G Pezzolesi, Andrzej S Krolewski, Ann Randolph, Benjamin J Keller and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. GWAS signals revisited using human knockouts.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Article
  7. Article
  8. Diabetic Microvascular Disease: An Endocrine Society Scientific Statement.The Journal of clinical endocrinology and metabolism · 2017
    Review
  9. Review
  10. Article
  11. Article
  12. Integrative Biology of Diabetic Kidney Disease.Kidney diseases (Basel, Switzerland) · 2015
    Article
  13. Review
  14. Review
  15. Genetics and Epigenetics of Diabetic Nephropathy.Kidney diseases (Basel, Switzerland) · 2015
    Review
  16. Article
  17. Review
  18. Defining nephrotic syndrome from an integrative genomics perspective.Pediatric nephrology (Berlin, Germany) · 2015
    Review
  19. Gene-gene and gene-environment interactions in apolipoprotein L1 gene-associated nephropathy.Clinical journal of the American Society of Nephrology : CJASN · 2014
    Review
  20. Integrative biology identifies shared transcriptional networks in CKD.Journal of the American Society of Nephrology : JASN · 2014
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Sebastian MartiniDepartments of Internal Medicine and Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Viji Nair
Sanjeevkumar R Patel
Felix Eichinger
Robert G Nelson
E Jennifer Weil
Marcus G Pezzolesi
Andrzej S Krolewski
Ann Randolph
Benjamin J Keller
Thomas Werner
Matthias Kretzler
University of Michigan–Ann Arbor · USJoslin Diabetes Center · USNational Institutes of Health · USEastern Michigan University · USSoftware (Germany) · DE

Funding

Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2008 to 2022
$12.9M
Epidemiology, Pathophysiology and Treatment of Diabetic NephropathyZIADK069062 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI NELSON, ROBERT G · 2009 to 2023
$10.1M
Mapping genes for proteinuria in type II diabetesR01DK058549 · NIDDK · JOSLIN DIABETES CENTER · PI KROLEWSKI, ANDRZEJ S · 2001 to 2010
$4.4M
Search of Diabetes Nephropathy Genes in Type 1 DiabetesK01DK090125 · NIDDK · JOSLIN DIABETES CENTER · PI PEZZOLESI, MARCUS GUY · 2011 to 2015
$591k
NIDA NIH HHS U54 DA021519NIDA NIH HHS U54-DA021519NIDDK NIH HHS K01 DK090125NIDDK NIH HHS K01-DK090125NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30-DK081943NIDDK NIH HHS R01 DK058549NIDDK NIH HHS R01-DK058549
6 · The paper itself

Abstract

Genome-wide association studies have proven to be highly effective at defining relationships between single nucleotide polymorphisms (SNPs) and clinical phenotypes in complex diseases. Establishing a mechanistic link between a noncoding SNP and the clinical outcome is a significant hurdle in translating associations into biological insight. We demonstrate an approach to assess the functional context of a diabetic nephropathy (DN)-associated SNP located in the promoter region of the gene FRMD3. The approach integrates pathway analyses with transcriptional regulatory pattern-based promoter modeling and allows the identification of a transcriptional framework affected by the DN-associated SNP in the FRMD3 promoter. This framework provides a testable hypothesis for mechanisms of genomic variation and transcriptional regulation in the context of DN. Our model proposes a possible transcriptional link through which the polymorphism in the FRMD3 promoter could influence transcriptional regulation within the bone morphogenetic protein (BMP)-signaling pathway. These findings provide the rationale to interrogate the biological link between FRMD3 and the BMP pathway and serve as an example of functional genomics-based hypothesis generation.

Indexed as

Models, GeneticPolymorphism, Single NucleotideDiabetic NephropathiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansKidneyPromoter Regions, GeneticTranscription, GeneticTumor Suppressor ProteinsFRMD3 protein, humanTumor Suppressor Proteins

Identifiers

PMID23434934
PMCPMC3712052
OpenAlexW2065943204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.