Evidence map›Paper›PMID 18243214›Full record

ArticleAtherosclerosis2008

Genetic and environmental influences on systemic markers of inflammation in middle-aged male twins.

Shaoyong Su, Harold Snieder, Andrew H Miller, James Ritchie, J Douglas Bremner, Jack Goldberg, Jun Dai, Linda Jones, Nancy V Murrah, Jinying Zhao and 1 more

Abstract read
In one paragraph

Article in Atherosclerosis, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Quantitative genetics of circulating Dickkopf-related protein 1 (DKK1) in community-based sample of UK twins.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. Genetic insights into cardiometabolic risk factors.The Clinical biochemist. Reviews · 2014
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 3 institutions in 3 countries.

Shaoyong SuDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA 30306, USA.
Harold Snieder
Andrew H Miller
James Ritchie
J Douglas Bremner
Jack Goldberg
Jun Dai
Linda Jones
Nancy V Murrah
Jinying Zhao
Viola Vaccarino
Emory University · USUniversity Medical Center Groningen · NLUniversity of Washington · US

Funding

Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
X LINKED NYSTAGMUS SYNDROME WITH FEATURES OF ALBINISMM01RR000039 · NCRR · EMORY UNIVERSITY · PI VACCARINO, VIOLA · 1985 to 2007
$21.3M
Neural Circuits in Women with Abuse and PTSDR01MH056120 · NIMH · YALE UNIVERSITY · PI BREMNER, JAMES DOUGLAS · 1999 to 2011
$5.0M
Mechanisms Linking Depression to Cardiovascular RiskR01HL068630 · NHLBI · EMORY UNIVERSITY · PI VACCARINO, VIOLA · 2001 to 2010
$4.8M
Posttraumatic Stress Disorder and Cardiovascular DiseaseR01AG026255 · NIA · EMORY UNIVERSITY · PI VACCARINO, VIOLA · 2004 to 2007
$2.8M
Mechanisms of Depression in CVDR01HL088726 · NHLBI · EMORY UNIVERSITY · PI BREMNER, JAMES DOUGLAS · 2008 to 2012
$2.6M
Mind-Body Interactions in Cardiovascular DiseaseK24HL077506 · NHLBI · EMORY UNIVERSITY · PI VACCARINO, VIOLA · 2004 to 2013
$1.5M
NCATS NIH HHS UL1 TR000454NCRR NIH HHS M01 RR000039NCRR NIH HHS MO1-RR00039NHLBI NIH HHS K24 HL077506NHLBI NIH HHS K24HL077506NHLBI NIH HHS R01 HL068630NHLBI NIH HHS R01 HL088726NHLBI NIH HHS R01 HL68630NIA NIH HHS R01 AG026255NIMH NIH HHS R01 MH056120
6 · The paper itself

Abstract

objectivesThe aims of this study were to determine the relative influence of genetic and environmental contributions to inflammatory biomarkers, and to what extent correlations among these markers are due to genetic or environmental factors.

methodsWe performed univariate and multivariate genetic analyses of four inflammatory markers: interleukin-6 (IL-6), soluble IL-6 receptor (sIL-6R), C-reactive protein (CRP), and fibrinogen, in 166 (88 monozygotic and 78 dizygotic) middle-aged male twin pairs.

resultsThe mean age (+/-S.D.) of the twins was 54 (+/-2.93) years. Heritability was substantial for CRP (0.61, 95% CI: 0.47-0.72) and moderate to fair for IL-6 (0.31, 0.13-0.46), sIL-6R (0.49, 0.30-0.76) and fibrinogen (0.52, 0.34-0.65). IL-6, CRP and fibrinogen showed significant correlations, but not with sIL-6R. Multivariate genetic analysis found that these correlations could be best explained by a common pathway model, where the common factor explained 27%, 73% and 25% of the variance of IL-6, CRP and fibrinogen, respectively. About 46% (95% CI: 21-64%) of the correlations among the three inflammatory markers could be explained by the genetic factors. After adjusting for covariates known to influence inflammation levels, heritability estimates were slightly decreased but the overall results remained similar.

conclusionsA significant part of the variation in inflammatory marker levels is due to genetic influences. Furthermore, almost 50% of the shared variance among these biomarkers is due to a common genetic factor which likely plays a key role in the regulation of inflammation.

Indexed as

BiomarkersC-Reactive ProteinFibrinogenHumansInflammationInterleukin-6MaleMiddle AgedMultivariate AnalysisPhenotypeReceptors, Interleukin-6TwinsBiomarkersC-Reactive ProteinFibrinogenInterleukin-6Receptors, Interleukin-6

Identifiers

PMID18243214
PMCPMC2599923
OpenAlexW2095966580

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.