Literature DB >> 29227573

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

Danielle M Dick1, Peter B Barr1, Seung Bin Cho1, Megan E Cooke1, Sally I-Chun Kuo1, Tenesha J Lewis1, Zoe Neale1, Jessica E Salvatore1, Jeanne Savage1, Jinni Su1.   

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.
© 2017 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.

Entities:  

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

Mesh:

Year:  2018        PMID: 29227573      PMCID: PMC5876087          DOI: 10.1111/gbb.12447

Source DB:  PubMed          Journal:  Genes Brain Behav        ISSN: 1601-183X            Impact factor:   3.449


  161 in total

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