The detection of gene variants involved in individual differences in health and functioning requires very large samples to allow for adequate correcting for multiple testing and replication. TRAILS’ extensive, high-quality collection of (endo)phenotypes combined with the availability of genome-wide SNP variations has made the study an attractive partner for genome-wide association studies (GWAS) regarding a wide range of (endo)phenotypes including: anthropomorphic traits;8,9 menarche;10 blood pressure;11,12 and biomarkers like cortisol, insulin, glucose and lipids.13,14 Ongoing GWAS projects concern, for instance, heart rate variability, well-being, aggression, attention deficit / hyperactivity disorder and cannabis use.
