Institute For Community Medicine
Institute For Community Medicine
Stausberg J.,Ludwig Maximilians University of Munich |
Pritzkuleit R.,University of Lübeck |
Schmidt C.O.,Institute For Community Medicine |
Nonnemacher M.,University of Duisburg - Essen
Studies in Health Technology and Informatics | Year: 2012
Data quality significantly impacts the reliability and validity of empirical medical research. Specific measures can be used to check the quality of data during operation of a research project like a register. Furthermore these indicators allow an assessment of data quality independently from the institution responsible for data recording. A previously developed set of 24 data quality indicators was compared with measures of three research projects, each representing a specific view on the topic. The structure of the set was confirmed, being able to capture most of the projects' measures under the headings plausibility, organization, and correctness. Solely two indicators about metadata could not be appropriately mapped. However, several measures not considered so far were added to reach a number of 51 quality indicators in a first draft of a revised set. Most of the new indicators refine existing ones; e. g. The indicator "allowed values for missings" refines the existing indicator "allowed values for qualitative data elements". Seven projects' measures contribute supplementary aspects of data quality. The draft of the revised set of quality indicators will now be reviewed within and beyond the group. © 2012 European Federation for Medical Informatics and IOS Press. All rights reserved.
PubMed | University of Turku, Ohio State University, University of Cologne, The Charles Bronfman Institute for Personalized Medicine and and 65 more.
Type: | Journal: Journal of the American Society of Nephrology : JASN | Year: 2016
Genome-wide association studies have identified >50 common variants associated with kidney function, but these variants do not fully explain the variation in eGFR. We performed a two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum creatinine (eGFRcrea) among participants of European ancestry from the CKDGen Consortium (n
PubMed | University of Minnesota, University of Newcastle, University of Sfax, Cardiovascular Genetics and Genomics Group and 67 more.
Type: Journal Article | Journal: Human molecular genetics | Year: 2016
Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including 120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration.
PubMed | Institute of Clinical Chemistry and Laboratory Medicine, University of Greifswald, European University of Applied Sciences and Institute for Community Medicine
Type: | Journal: Atherosclerosis | Year: 2016
Most of the observed associations of androgens and sex hormone-binding globulin (SHBG) with subclinical cardiovascular disease (CVD) stem from selected study samples with immunoassay-based hormone measurements. Thus, we used a large population-based sample with total testosterone (TT) and androstenedione (ASD) concentrations measured by liquid chromatography-tandem mass spectrometry.Data of 2140 individuals (mean age: 60,8 years) from the cohort Study of Health in Pomerania were assessed at baseline and 5-year follow-up.Multivariable regression models were implemented to assess cross-sectional and longitudinal associations of TT, free testosterone (fT), ASD, SHBG and dehydroepiandrosterone-sulphate (DHEAS) with measures of subclinical CVD including intima media thickness (IMT), carotid plaques, left ventricular mass (LVM), fractional shortening (FS), relative wall thickness (RWT), and left ventricular geometry.Cross-sectional analyses yielded an association of TT with IMT in women (-coefficient per log unit increase: 0.02; 95% CI: 0.007; 0.45) and ASD with FS in both sexes (men: -coefficient: -2.94; 95% CI: -4.75; -1.12; women: -coefficient: 1.64; 95% CI: 0.55; 2.73). In longitudinal analyses, DHEAS was positively associated with FS change (-coefficient: 2.34; 95% CI: -0.59; 4.08). In women, SHBG was positively associated with incident plaques (Q1 vs. Q3 (Ref.): -coefficient: 1.35; 95% CI: 1.04; 1.74). In both sexes, longitudinal analyses showed no consistent association of TT with subclinical CVD.Despite several sex-specific associations of androgens and SHBG with subclinical CVD, the present representative study for the age group 45 years among men and women from the general population detected no consistent associations in longitudinal analyses.
PubMed | Institute of Clinical Chemistry and Laboratory Medicine, University of Greifswald, European University of Applied Sciences, Institute Of Clinical Chemistry And Laboratory Medicine Electronic Address and Institute for Community Medicine
Type: Journal Article | Journal: Metabolism: clinical and experimental | Year: 2016
Despite associations of sex hormones in women with increased cardiometabolic risk and mortality, the clinical correlates of altered sex hormone concentrations in women are less clearly understood. We investigated a broad range of clinical correlates of sex hormones in women from a large population-based sample.Data from 2560 women from two cohorts of the Study of Health in Pomerania were used. Stepwise multivariable regression models were implemented to investigate a broad range of behavioral, socio-demographic, and cardiometabolic clinical correlates related to total testosterone (TT), free testosterone (fT), androstenedione (ASD), dehydroepiandrosterone-sulfate (DHEAS), estrone (E1), estradiol (E2), and sex hormone-binding globulin (SHBG).Waist circumference and BMI (-coefficient: -0.03; 95% CI: -0.04; 0.03) were inversely related to SHBG, and BMI was positively related to TT (-coefficient: 0.005; 95% CI: 0.001; 0.009), fT, E1, and E2. Smoking was positively related to TT (-coefficient: 0.04; 95% CI: 0.01; 0.06), ASD, and fT. Systolic blood pressure (TT: -coefficient: 0.002; 95% CI: 0.001; 0.003), hypertension (TT: -coefficient: 0.05; 95% CI: 0.003; 0.11), low-density lipoprotein (LDL) cholesterol (TT: -coefficient: 0.02; 95% CI: 0.01; 0.05), and total cholesterol (TT: -coefficient: -0.03; 95% CI: 0.01; 0.05) were positively related to TT and ASD. Finally, type 2 diabetes mellitus (T2DM), and metabolic syndrome (MetS) were positively related to fT, but inversely related to SHBG.Our population-based study, with sex hormone concentrations measured by liquid chromatography tandem mass spectrometry, revealed associations between clinical correlates including waist circumference, smoking, cohabitation, systolic blood pressure, cholesterol, and MetS with sex hormones. Thus, sex hormones and SHBG may play a role in the cardiovascular risk profile of women.