Table 1.
LifeLines DEEP data | n | Source | Methods |
---|---|---|---|
Biological ageing | 1387 | Cells from whole blood | FlowFish |
Biological ageing | 1387 | DNA from whole blood | qPCR and sjTRECs |
Biomarkers (citrulline, cytokines) | 1387 | Plasma | HPLC, ECLIA |
Biomarkers (calprotectin, HBD-2, chromogranin A, SCFA) | 1248 | Faeces | ELISA, ELISA, RIA, GC-MS |
CVD risk score | 1448 | Biochemical measures and questionnaire | Scoring algorithm Framingham Heart Study |
Functional studies | 1387 | PBMC from whole blood | Various methods |
Gastrointestinal symptoms | 1176 | Questionnaire | Rome III criteria and Bristol Stool Form Scale |
Genetics | 1387 | DNA from whole blood | CytoSNP and ImmunoChip, GoNL as imputation reference |
Metabolomics | 1425 | Exhaled air | GC-tof-MS |
Metabolomics | 1387 | Plasma | NMR |
Methylation | 761+ | DNA from whole blood | 450 K chip |
Microbiome | 1248 | Faeces | 16S rRNA based sequencing |
Transcriptomics | 1387 | Whole blood (PAXgene) | RNA sequencing |
CVD, cardiovascular disease; ECLIA, electro-chemiluminescence immunoassay; GC-(tof-)MS, gas chromatography-(time of flight-)mass spectrometry; HBD-2, human β defensin 2; HPLC, high-performance liquid chromatography; NMR, nuclear MR; qPCR, quantitative PCR; RIA, radioimmunoassay; SCFA, short chain fatty acids; sjTRECs, signal joint T cell receptor excision circles.