The Hoorn Diabetes Care System (DCS) cohort. A prospective cohort of persons with type 2 diabetes treated in primary care in the Netherlands

Heijden, Amber A. van der; Rauh, Simone P.; Dekker, Joost; Beulens, Joline W.J.; Elders, Petra; Hart, Leen M ’t; Rutters, Femke; Leeuwen, Nienke van; Nijpels, Giel

doi:10.1136/bmjopen-2016-015599

Cited by 63 publications

(86 citation statements)

References 54 publications

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“…Individuals who participated in this study are part of the Hoorn DCS cohort, a prospective cohort of over 12,000 individuals with type 2 diabetes [ 16 ]. People visit the DCS annually for routine care and data collection, including anthropometric, fasting glucose, HbA 1c , blood lipid and blood pressure measurement and information on medication use.…”

Section: Methodsmentioning

confidence: 99%

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HbA1c is associated with altered expression in blood of cell cycle- and immune response-related genes

et al. 2017

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Aims/hypothesis Individuals with type 2 diabetes are heterogeneous in their glycaemic control as tracked by blood HbA 1c levels. Here, we investigated the extent to which gene expression levels in blood reflect current and future HbA 1c levels. Methods HbA 1c levels at baseline and 1 and 2 year follow-up were compared with gene expression levels in 391 individuals with type 2 diabetes from the Hoorn Diabetes Care System Cohort (15,564 genes, RNA sequencing). The functions of associated baseline genes were investigated further using pathway enrichment analysis. Using publicly available data, we investigated whether the genes identified are also associated with HbA 1c in the target tissues, muscle and pancreas.Results At baseline, 220 genes (1.4%) were associated with baseline HbA 1c . Identified genes were enriched for cell cycle and complement system activation pathways. The association of 15 genes extended to the target tissues, muscle (n = 113) and pancreatic islets (n = 115). At follow-up, expression of 25 genes (0.16%) associated with 1 year HbA 1c and nine genes (0.06%) with 2 year HbA 1c . Five genes overlapped across all time points, and 18 additional genes between baseline and 1 year follow-up. After adjustment for baseline HbA 1c , the number of significant genes at 1 and 2 years markedly decreased, suggesting that gene expression levels in whole blood reflect the current glycaemic state and but not necessarily the future glycaemic state. Conclusions/interpretation HbA 1c levels in individuals with type 2 diabetes are associated with expression levels of genes that link to the cell cycle and complement system activation.

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Section: Methodsmentioning

confidence: 99%

“…Those that have been conducted have tended to be small cross-sectional case–control studies. We have investigated the relationship between blood gene expression levels and HbA 1c levels in almost 400 individuals with type 2 diabetes selected from the Hoorn Diabetes Care System (DCS) cohort [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

HbA1c is associated with altered expression in blood of cell cycle- and immune response-related genes

et al. 2017

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“…In total, 3089 persons with T2D from 5 independent Dutch cohort studies, the Hoorn Diabetes Care System (DCS) West-Friesland (19), the Maastricht study (20), the Rotterdam study (RS) (21), the Netherlands Epidemiology of Obesity (NEO) study (22), and the Cohort of Diabetes and Atherosclerosis Maastricht study (CODAM) (23) were included. The selection processes of the independent studies have previously been described in detail; a brief description of the selection from each cohort for the present study, is provided in the following paragraphs.…”

Section: Participantsmentioning

confidence: 99%

“…The DCS provides diabetes care to people with T2D living in the West-Friesland region, who yearly visit the DCS research center (19). At the yearly visits, a medical exam is performed, and blood is drawn for biochemistry.…”

Section: The Hoorn Diabetes Care System West-frieslandmentioning

confidence: 99%

Plasma Metabolomics Identifies Markers of Impaired Renal Function: A Meta-analysis of 3089 Persons with Type 2 Diabetes

Tofte

Vogelzangs

Mook‐Kanamori

et al. 2020

The Journal of Clinical Endocrinology &Amp; Metabolism

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Context There is a need for novel biomarkers and better understanding of the pathophysiology of diabetic kidney disease. Objective To investigate associations between plasma metabolites and kidney function in people with type 2 diabetes (T2D). Design 3089 samples from individuals with T2D, collected between 1999 and 2015, from 5 independent Dutch cohort studies were included. Up to 7 years follow-up was available in 1100 individuals from 2 of the cohorts. Main outcome measures Plasma metabolites (n = 149) were measured by nuclear magnetic resonance spectroscopy. Associations between metabolites and estimated glomerular filtration rate (eGFR), urinary albumin-to-creatinine ratio (UACR), and eGFR slopes were investigated in each study followed by random effect meta-analysis. Adjustments included traditional cardiovascular risk factors and correction for multiple testing. Results In total, 125 metabolites were significantly associated (PFDR = 1.5×10–32 − 0.046; β = −11.98-2.17) with eGFR. Inverse associations with eGFR were demonstrated for branched-chain and aromatic amino acids (AAAs), glycoprotein acetyls, triglycerides (TGs), lipids in very low-density lipoproteins (VLDL) subclasses, and fatty acids (PFDR < 0.03). We observed positive associations with cholesterol and phospholipids in high-density lipoproteins (HDL) and apolipoprotein A1 (PFDR < 0.05). Albeit some metabolites were associated with UACR levels (P < 0.05), significance was lost after correction for multiple testing. Tyrosine and HDL-related metabolites were positively associated with eGFR slopes before adjustment for multiple testing (PTyr = 0.003; PHDLrelated < 0.05), but not after. Conclusions This study identified metabolites associated with impaired kidney function in T2D, implying involvement of lipid and amino acid metabolism in the pathogenesis. Whether these processes precede or are consequences of renal impairment needs further investigation.

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“…The final set of 2622 SNPs was constructed by overlapping the ExAC based and RNA-Seq based SNP lists. Both 2622 SNP and 50 SNP panels were used to evaluate the ability for sample and mismatch identification in samples from the Diabetes Care System (DCS) cohort [ 40 ], where there were 562 RNA-Seq as well as 3428 GWAS samples imputed using the HapMap reference panel. Genotype calling at all genomics coordinates was performed for the two SNP panels in both RNA-Seq and imputed GWAS samples.…”

Section: Methodsmentioning

confidence: 99%

A SNP panel for identification of DNA and RNA specimens

et al. 2018

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BackgroundSNP panels that uniquely identify an individual are useful for genetic and forensic research. Previously recommended SNP panels are based on DNA profiles and mostly contain intragenic SNPs. With the increasing interest in RNA expression profiles, we aimed for establishing a SNP panel for both DNA and RNA-based genotyping.ResultsTo determine a small set of SNPs with maximally discriminative power, genotype calls were obtained from DNA and blood-derived RNA sequencing data belonging to healthy, geographically dispersed, Dutch individuals. SNPs were selected based on different criteria like genotype call rate, minor allele frequency, Hardy–Weinberg equilibrium and linkage disequilibrium. A panel of 50 SNPs was sufficient to identify an individual uniquely: the probability of identity was 6.9 × 10− 20 when assuming no family relations and 1.2 × 10− 10 when accounting for the presence of full sibs. The ability of the SNP panel to uniquely identify individuals on DNA and RNA level was validated in an independent population dataset. The panel is applicable to individuals from European descent, with slightly lower power in non-Europeans. Whereas most of the genes containing the 50 SNPs are expressed in various tissues, our SNP panel needs optimization for other tissues than blood.ConclusionsThis first DNA/RNA SNP panel will be useful to identify sample mix-ups in biomedical research and for assigning DNA and RNA stains in crime scenes to unique individuals.Electronic supplementary materialThe online version of this article (10.1186/s12864-018-4482-7) contains supplementary material, which is available to authorized users.

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The Hoorn Diabetes Care System (DCS) cohort. A prospective cohort of persons with type 2 diabetes treated in primary care in the Netherlands

Cited by 63 publications

References 54 publications

HbA1c is associated with altered expression in blood of cell cycle- and immune response-related genes

HbA1c is associated with altered expression in blood of cell cycle- and immune response-related genes

Plasma Metabolomics Identifies Markers of Impaired Renal Function: A Meta-analysis of 3089 Persons with Type 2 Diabetes

A SNP panel for identification of DNA and RNA specimens

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