Sample sources for epigenetic studies Caroline Relton Institute of Genetic Medicine Newcastle University, UK Contents • Tissue specificity • Sample sources for epidemiological investigations • Variables to consider and record • Cellularity of peripheral blood • Options for complementing population-based studies • Strategies to account for cellularity Epigenetic patterns are tissue specific High-throughput DNA methylation analysis of 11 different tissues from six individuals Venn diagram showing the number of T-DMR and/or I-DMR loci i.e. Inter-individual differences are generally in different places in the genome to tissue specific differences in methylation patterns Byun H et al. Hum. Mol. Genet. 2009;18:4808-17 Sample sources • • • • • Peripheral blood leucocytes Saliva (mixed buccal cells and leucocytes) Buccal scrapes Cell lines (lymphoblastoid cell lines, iPSC) Opportunistic samples – Surgical resection – Placenta – Umbilical cord • Tissue biopsies – – – – Tumour tissue Adjacent ‘normal tissue’ Post-mortem Fresh / snap frozen Variables to consider and record • Peripheral blood – – – – Time of blood draw (fasting/non-fasting) Anti-coagulant (LithHep, EDTA, Paxgene, RNAeasy, other) Time to DNA/RNA extraction Extraction method (buffy coat or whole blood) • Cell lines – – – – – Passage Culture media Level of confluence Method of harvesting Time to DNA/RNA extraction • Biopsies – Storage and handling post-sampling – Time to DNA/RNA extraction Cellularity and methylation of peripheral blood • Factors that influence global methylation in peripheral blood DNA – – – – – – – – Age, sex, ethnicity Environmental toxicants Smoking, alcohol Disease / inflammation / infection Pregnancy / haemodilution Obesity Physical activity Dietary folate Factors that influence differential blood count Strategies to account for cellularity • Differential blood cell count – White cells (multiple types), red cells, platelets • Fluorescence activated cell sorting (FACS) • Post hoc correction