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. 2017 Oct 24;32(9):807–850. doi: 10.1007/s10654-017-0321-4

Table 1.

Overview of sample numbers with “omics” datasets across the 3 Rotterdam Study (RS) cohorts with the number and type of measurement for each omic method

Genomics data type Total Datapoints/sample RS Ia RS IIa RS IIIa
Number Type
GWAS SNP data 11,502 40,000,000 SNPs 6291 2157 3054
Exome array 3183 250,000 SNPs 3183
Whole exome sequencing (WES) 3778 693,000 Variants 3778
Whole genome sequencing (WGS) 96 3,000,000 Variants 96
Genome wide expression (array) 881 25,000 Genes 881
Genome wide expression (RNA Seq) 829 18,000,000 Reads 500 329
Genome wide DNA methylation 1600 450,000 CpG’s 100 500 1000
Telomere length (PCR) 1800 1 1800
Mitochondrial DNA (PCR) 500 1 500
Microbiome 16S rRNA (faeces) 2000 500 OTU’s 2000
Metabolomics (NMR/UPLC MS) 1826 4000 Metabolites 1826
Metabolomics (NMR “Nightingale”) 5381 228 Metabolites 2880 663 1838
Serum protein profileb 9820 35 Proteins 3812 2542 3466
Total ‘omic’ datapoints in RS: 43,196 × 62,422,765 = 2,696,413,756,940

SNP single nucleotide polymorphism, CpG a two-nucleotide position (C next to G on the same strand) of which the C can be methylated; OTU operational taxonomic unit

aRS1, First cohort of the Rotterdam Study; RS2, Second cohort of the Rotterdam Study; RS3, Third cohort of the Rotterdam Study

bTotal estradiol, total testosterone, sex hormone-binding globulin, dehydroepiandrosterone, dehydroepiandrosterone sulfate, androstenedione, 17-hydroxyprogesterone, cortisol, corticosterone, 11-desoxycortisol, vitamin D, thyroid stimulating hormone, free T4, interleukins, C-reactive protein, Insulin-like growth factor 1, insulin, iron, ferritin, transferrin, fibrinogen, homocysteine, folic acid, riboflavine, pyridoxine, SAM/SAH ratio, cobalamine, Lp-PLA2, Fas/Fas-L, abeta42/40