Evidence map›Paper›PMID 23474010›Full record

SynthesisAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2013

Overlap between common genetic polymorphisms underpinning kidney traits and cardiovascular disease phenotypes: the CKDGen consortium.

Matthias Olden, Alexander Teumer, Murielle Bochud, Cristian Pattaro, Anna Köttgen, Stephen T Turner, Rainer Rettig, Ming-Huei Chen, Abbas Dehghan, Francois Bastardot and 18 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.3field-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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Observational
  2. Article
  3. A Single Nucleotide Polymorphism inCirculation research · 2022
    Article
  4. Hypothyroidism and Kidney Function: A Mendelian Randomization Study.Thyroid : official journal of the American Thyroid Association · 2020
    Article
  5. Article
  6. The kidney transcriptome, from single cells to whole organs and back.Current opinion in nephrology and hypertension · 2019
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Mendelian Randomization as an Approach to Assess Causality Using Observational Data.Journal of the American Society of Nephrology : JASN · 2016
    Review
  13. Review
  14. Cystatin C Predicts Incident Cardiovascular Disease in Twins.Journal of the American Heart Association · 2016
    Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 20 institutions in 7 countries.

Matthias OldenNational Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA.
Alexander Teumer
Murielle Bochud
Cristian Pattaro
Anna Köttgen
Stephen T Turner
Rainer Rettig
Ming-Huei Chen
Abbas Dehghan
Francois Bastardot
Reinhold Schmidt
Peter Vollenweider
Heribert Schunkert
Muredach P Reilly
Myriam Fornage
Lenore J Launer
Germaine C Verwoert
Gary F Mitchell
Joshua C Bis
Christopher J O'Donnell
Ching-Yu Cheng
Xueling Sim
David S Siscovick
Josef Coresh
W H Linda Kao
Caroline S Fox
Conall M O'Seaghdha
AortaGen, CARDIoGRAM, CHARGE Eye, CHARGE IMT, ICBP, NeuroCHARGE, and CKDGen Consortia
Johns Hopkins University · USFramingham Heart Study · USUniversität Greifswald · DEUniversity Hospital of Lausanne · CHUniversity of Lübeck · DEUniversity of Washington · USBoston University · USCardiovascular Institute of the South · USErasmus MC · NLInstitute of Social and Preventive Medicine · CHInstitute on Aging · USMassachusetts General Hospital · USMayo Clinic · USMedical University of Graz · ATNational Heart Lung and Blood Institute · USNational University of Singapore · SGNetherlands Consortium for Healthy Ageing · NLNorwood Hospital · USSingapore Eye Research Institute · SGThe University of Texas Health Science Center at Houston · US

Funding

CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Genomic Epidemiology of Cardiovascular DiseaseZIAHL006002 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2009 to 2015
$8.0M
Framingham Heart Study/FoxZIAHL006094 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI FOX, CAROLINE · 2010 to 2015
$6.9M
Genetic Markers of Brain AgingZIAAG007270 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2025
$2.7M
Gene Expression for Functional Genomics in Human PopulationsZIAHL006175 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.2M
Functional Genetic Variation Underlying Cardiovascular Genomic EpidemiologyZIAHL006173 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.0M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS R01 HL105756
6 · The paper itself

Abstract

backgroundChronic kidney disease is associated with cardiovascular disease. We tested for evidence of a shared genetic basis to these traits. STUDY

designWe conducted 2 targeted analyses. First, we examined whether known single-nucleotide polymorphisms (SNPs) underpinning kidney traits were associated with a series of vascular phenotypes. Additionally, we tested whether vascular SNPs were associated with markers of kidney damage. Significance was set to 1.5×10(-4) (0.05/325 tests). SETTING &

participantsVascular outcomes were analyzed in participants from the AortaGen (20,634), CARDIoGRAM (86,995), CHARGE Eye (15,358), CHARGE IMT (31,181), ICBP (69,395), and NeuroCHARGE (12,385) consortia. Tests for kidney outcomes were conducted in up to 67,093 participants from the CKDGen consortium. PREDICTOR: We used 19 kidney SNPs and 64 vascular SNPs. OUTCOMES & MEASUREMENTS: Vascular outcomes tested were blood pressure, coronary artery disease, carotid intima-media thickness, pulse wave velocity, retinal venular caliber, and brain white matter lesions. Kidney outcomes were estimated glomerular filtration rate and albuminuria.

resultsIn general, we found that kidney disease variants were not associated with vascular phenotypes (127 of 133 tests were nonsignificant). The one exception was rs653178 near SH2B3 (SH2B adaptor protein 3), which showed direction-consistent association with systolic (P = 9.3 ×10(-10)) and diastolic (P = 1.6 ×10(-14)) blood pressure and coronary artery disease (P = 2.2 ×10(-6)), all previously reported. Similarly, the 64 SNPs associated with vascular phenotypes were not associated with kidney phenotypes (187 of 192 tests were nonsignificant), with the exception of 2 high-correlated SNPs at the SH2B3 locus (P = 1.06 ×10(-07) and P = 7.05 ×10(-08)). LIMITATIONS: The combined effect size of the SNPs for kidney and vascular outcomes may be too low to detect shared genetic associations.

conclusionsOverall, although we confirmed one locus (SH2B3) as associated with both kidney and cardiovascular disease, our primary findings suggest that there is little overlap between kidney and cardiovascular disease risk variants in the overall population. The reciprocal risks of kidney and cardiovascular disease may not be genetically mediated, but rather a function of the disease milieu itself.

Indexed as

Polymorphism, Single NucleotideAdaptor Proteins, Signal TransducingAdultAgedBlood PressureCardiovascular DiseasesCarotid Intima-Media ThicknessFemaleGenome-Wide Association StudyGlomerular Filtration RateHumansIntracellular Signaling Peptides and ProteinsMaleMiddle AgedProteinsRenal Insufficiency, ChronicAdaptor Proteins, Signal TransducingIntracellular Signaling Peptides and ProteinsProteinsSH2B3 protein, human

Identifiers

PMID23474010
PMCPMC3660426
OpenAlexW2085941424

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.