| Samples | Enrich biobanks and registries |
| Collect systematic samples of cases and controls defined by genotypes | |
| Increase inclusion of multiethnic samples | |
| Combine age-specific samples to construct life-span assessments | |
| Phenotypes | Move beyond dichotomous classification |
| Incorporate endophenotypes into genome-wide association studies | |
| Include multiple disorders in case–control studies to evaluate specificity | |
| Measures | Augment clinical data with standardized supplementary measures of domains underlying mental disorders |
| Collect repeated measures, including in-time mobile assessments when relevant | |
| Study designs | Collect retrospective and prospective cohort studies |
| Incorporate families in case–control and registry studies | |
| Statistical methods | Include genes as independent variables: Mendelian randomization |
| Calculate polygenic risk scores and genome-wide complex trait analysis | |
| Apply classification models to define phenotypic subtypes and overlap | |
| Employ models that incorporate clustering and specificity of genes and environmental exposures | |
| Environmental factors | Stratify genetic case–control studies by environmental exposures |
| Design studies that test specific vs general effects of environmental risk factors | |
| Identify “critical” timing environmental exposures | |
| Collaborative efforts | Include epidemiologists in genomics collaborative networks |
| Establish networks on relevant domains, including biobanks, registries, environmental exposures, treatment and prevention, neuroimaging, and behavioral measures |