Psychiatric disorders unfold over the lifecourse, yet genomic studies of these conditions overwhelmingly rely on phenotypes collected at a single time point, often in adulthood. Genome-wide association studies (GWAS) of psychiatric conditions may therefore miss genetic variants with time-varied relevance to etiology, prevention and treatment, such as those that influence trajectories of symptoms and behaviors, age-at-onset, course of treatment response, and co-evolution of comorbidities. With recent advances in longitudinal biobanks and analytic tools, we posit that incorporating a lifecourse perspective in psychiatric genetics will enable critically relevant insights into each of these areas of investigation.
Radically different