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. 2019 Jun;109(Suppl 3):S171–S175. doi: 10.2105/AJPH.2019.304948
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