A new public health genomics model for common complex diseases, with an application to common behavioral disorders

Bahar Taneri*, Elena Ambrosino, Jim van Os, Angela Brand

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Web of Science)


Aim: In the light of common forms of gene-environment interplay, particularly epigenomics and ecogenetics, the incorporation of envirome data into public health genomics models becomes necessary. Developing and restructuring public health genomics models is essential within the context of common complex diseases. Materials & methods: We developed a novel theoretical model integrating a gene-environment interaction paradigm into public health genomics, which integrates four main sources of data: personal genome data, personal envirome data, molecular genetic/genomic evidence and environmental factors implicated in gene-environment interactions underlying common complex disease phenotypes. Collectively, this knowledge is fed into public health policy development. Results: This model is the first public health genomics model that incorporates gene-environment interactions within the context of common complex disorders, and is applied to behavioral conditions. Conclusion: Our model proposes, for the first time, an understanding of behavioral disorders from the genomic perspective, combining it with known environmental factors within the framework of public health. Application of this model will enable evidence-based behavioral interventions at the public health level and facilitate genome-based public health policy development for behavioral conditions.
Original languageEnglish
Pages (from-to)29-38
JournalPersonalized Medicine
Issue number1
Publication statusPublished - Jan 2012


  • behavioral disorders
  • common complex diseases
  • envirome
  • environment
  • genomics
  • public health
  • public health genomics

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