Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2018 Mar;17(3):e12447.
doi: 10.1111/gbb.12447. Epub 2018 Feb 5.

Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps

Affiliations
Review

Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps

Danielle M Dick et al. Genes Brain Behav. 2018 Mar.

Abstract

As psychiatric genetics enters an era where gene identification is finally yielding robust, replicable genetic associations and polygenic risk scores, it is important to consider next steps and delineate how that knowledge will be applied to ultimately ameliorate suffering associated with substance use and psychiatric disorders. Much of the post-genome-wide association study discussion has focused on the potential of genetic information to elucidate the underlying biology and use this information for the development of more effective pharmaceutical treatments. In this review we focus on additional areas of research that should follow gene identification. By taking genetic findings into longitudinal, developmental studies, we can map the pathways by which genetic risk manifests across development, elucidating the early behavioral manifestations of risk, and studying how various environments and interventions moderate that risk across developmental stages. The delineation of risk across development will advance our understanding of mechanism, sex differences and risk and resilience processes in different racial/ethnic groups. Here, we review how the extant twin study literature can be used to guide these efforts. Together, these new lines of research will enable us to develop more informed, tailored prevention and intervention efforts.

Keywords: GWAS; behavior genetics; gene-environment interaction; genetics; intervention; pathways of risk; prevention; twin studies.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: The authors declare no conflicts of interest.

Similar articles

Cited by

References

    1. Advani AS, Atkeson B, Brown CL, Peterson BL, Fish L, Johnson JL, Gockerman JP, Gautier M. Barriers to the participation of African-American patients with cancer in clinical trials: a pilot study. Cancer. 2003;97:1499–1506. - PubMed
    1. Agrawal A, Hinrichs AL, Dunn G, Bertelsen S, Dick DM, Saccone SF, Saccone NL, Grucza RA, Wang JC, Cloninger CR, Edenberg HJ, Foroud T, Hesselbrock V, Kramer J, Bucholz KK, Kuperman S, Nurnberger JI, Jr, Porjesz B, Schuckit MA, Goate AM, Bierut LJ. Linkage scan for quantitative traits identifies new regions of interest for substance dependence in the Collaborative Study on the Genetics of Alcoholism (COGA) sample. Drug and alcohol dependence. 2008;93:12–20. - PMC - PubMed
    1. Albert D, Belsky DW, Crowley DM, Latendresse SJ, Aliev F, Riley B, Sun C, Dick DM, Dodge KA. Can Genetics Predict Response to Complex Behavioral Interventions? Evidence from a Genetic Analysis of the Fast Track Randomized Control Trial. Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management] 2015;34:497–518. - PMC - PubMed
    1. Aliev F, Wetherill L, Bierut L, Bucholz KK, Edenberg H, Foroud T, Investigators, C. Dick DM. Genes associated with alcohol outcomes show enrichment of effects with broad externalizing and impulsivity phenotypes in an independent sample. Journal of studies on alcohol and drugs. 2015;76:38–46. - PMC - PubMed
    1. Allen NC, Bagade S, McQueen MB, Ioannidis JP, Kavvoura FK, Khoury MJ, Tanzi RE, Bertram L. Systematic meta-analyses and field synopsis of genetic association studies in schizophrenia: the SzGene database. Nature genetics. 2008;40:827–834. - PubMed

Publication types

MeSH terms