| Epidemiology |
Genotype prevalence, calculating risks associated with genetic variants, gene–gene, and gene environment interactions |
Data currently lacking on magnitudes of risks especially for joint effects of genes and environment |
| Clinical evaluation |
Quantify added value of personal genomics in reclassifying risks compared traditional risk factors |
Data currently suggest weak discriminatory ability of personal genomics compared with other factors. It is not yet clear what are the net health benefits versus harms in using personal genomics in prevention and clinical care |
| Behavioral and social sciences |
Assess how genome profiles affect behavior of individuals, families and populations |
Data from other fields suggest that behavior change is difficult. It is not clear if genome information matters |
| Communication sciences |
Study communication and education strategies for using genomic information to improve health |
Provider and consumers are not equipped to deal with this type of information |
| Health services research & Public health surveillance |
Assess impact of genome info health outcomes in the real world, health disparities, and economic indicators |
Expensive technology when applied in populations; unknown health benefits and potential harms |
