Abstract
Increasing the size of prospective cohorts and biobanks is one approach to discovering previously unknown contributors to complex diseases, but it may come at the price of concealing contributors that are less common across all the participants in those larger studies and of limiting hypothesis generation. Prospective cohorts and biobanks constitute significant, long-term investments in research infrastructure that will have ongoing consequences for opportunities in biomedical research for the foreseeable future. Thus, it is important to think about how these major additions to research infrastructure can be designed to be more productive in generating hypotheses for novel environmental contributors to complex diseases and to help identify genetic and environmental contributors that may not be common across the larger samples but are more frequent within local or ancestral subsets. Incorporating open-ended inquiries and qualitative information about local communal and ecologic contexts and the political, economic, and other social structures that affect health status and outcome will enable qualitative hypothesis generation in those localized contexts, as well as the collection of more detailed genealogic and family health history information that may be useful in designing future studies. Using communities as building blocks for larger cohorts and biobanks presents some practical and ethical challenges but also enhances opportunities for interdisciplinary, multilevel investigations of the multifactorial contributors to complex diseases.