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Articles by J Baumert
Total Records ( 2 ) for J Baumert
  A Dehghan , Q Yang , A Peters , S Basu , J. C Bis , A. R Rudnicka , M Kavousi , M. H Chen , J Baumert , G. D.O Lowe , B McKnight , W Tang , M de Maat , M. G Larson , S Eyhermendy , W. L McArdle , T Lumley , J. S Pankow , A Hofman , J. M Massaro , F Rivadeneira , M Kolz , K. D Taylor , C. M van Duijn , S Kathiresan , T Illig , Y. S Aulchenko , K. A Volcik , A. D Johnson , A. G Uitterlinden , G. H Tofler , C Gieger , Psaty Wellcome Trust Case Control Consortium , D. J Couper , E Boerwinkle , W Koenig , C. J O`Donnell , J. C Witteman , D. P Strachan , N. L Smith and A. R. Folsom
 

Background— Fibrinogen is both central to blood coagulation and an acute-phase reactant. We aimed to identify common variants influencing circulation fibrinogen levels.

Methods and Results— We conducted a genome-wide association analysis on 6 population-based studies, the Rotterdam Study, the Framingham Heart Study, the Cardiovascular Health Study, the Atherosclerosis Risk in Communities Study, the Monitoring of Trends and Determinants in Cardiovascular Disease/KORA Augsburg Study, and the British 1958 Birth Cohort Study, including 22 096 participants of European ancestry. Four loci were marked by 1 or more single-nucleotide polymorphisms that demonstrated genome-wide significance (P<5.0x10–8). These included a single-nucleotide polymorphism located in the fibrinogen β chain (FGB) gene and 3 single-nucleotide polymorphisms representing newly identified loci. The high-signal single-nucleotide polymorphisms were rs1800789 in exon 7 of FGB (P=1.8x10–30), rs2522056 downstream from the interferon regulatory factor 1 (IRF1) gene (P=1.3x10–15), rs511154 within intron 1 of the propionyl coenzyme A carboxylase (PCCB) gene (P=5.9x10–10), and rs1539019 on the NLR family pyrin domain containing 3 isoforms (NLRP3) gene (P=1.04x10–8).

Conclusions— Our findings highlight biological pathways that may be important in regulation of inflammation underlying cardiovascular disease.

  M Karakas , J Baumert , S Greven , R Ruckerl , A Peters and W. Koenig
 

Background: Among the numerous emerging biomarkers, high-sensitivity C-reactive protein (hsCRP) and interleukin-6 (IL-6) have received widespread interest, and a large database has been accumulated on their potential role as predictors of cardiovascular risk. The concentrations of inflammatory biomarkers, however, are influenced, among other things, by physiological variation, which is the natural within-individual variation occurring over time. Implementation of hsCRP and IL-6 measurement into clinical practice requires data on the reliability of such measurements.

Methods: We serially measured hsCRP and IL-6 concentrations in up to 6 blood samples taken at monthly intervals from 200 post–myocardial infarction patients who participated in the AIRGENE study.

Results: The mean (SD) of the ln-transformed plasma concentrations (in milligrams per liter for hsCRP and nanograms per liter for IL-6) for all participants over all samples was 0.16 (1.04) for hsCRP and 0.76 (0.57) for IL-6, with no significant differences between men and women. The within-individual and analytical variance component for the ln-transformed hsCRP data was 0.37, and the between-individual variance component was 0.73. For the ln-transformed IL-6 data, these values were 0.11 and 0.22, respectively. A substantial part of the total variation in plasma hsCRP and IL-6 concentrations was explained by the between-individual variation (as a percentage of the total variance, 66.1% for the ln-transformed hsCRP data and 66.2% for the ln-transformed IL-6 data). For both markers, 2 measurements were needed to reach a sufficient reliability.

Conclusions: Our results demonstrate considerable stability and good reproducibility for serial hsCRP and IL-6 measurements. Thus, there should be no major concern about misclassification in clinical practice if at least 2 subsequent measurements are taken.

 
 
 
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