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Bioinformatics in Psychiatric Genetics 

Bioinformatics in Psychiatric Genetics
Bioinformatics in Psychiatric Genetics

Nikola S. Mueller

, Ivan Kondofersky

, Gökcen Eraslan

, Karolina Worf

, and Fabian J. Theis

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date: 17 May 2022

Bioinformatics in psychiatric research is surveyed by exploring data analysis techniques tailored to extract information from genetic studies. Genome-wide association studies (GWAS) play a major role by providing links between certain psychiatric diseases and single-nucleotide polymorphisms (SNPs). A challenge in identifying such links is prioritizing SNPs, and we give an overview of state-of-the-art prioritization methods and discuss current trends. Furthermore, we give details on post-GWAS analysis by introducing network-based knowledge. The aim of incorporating network information either in the sense of local proximity or similar function, is the formulation of multivariate models where multiple SNPs may have synergistic effects on a disease that cannot be inferred univariately. Finally, we provide a list of a combination of available tools and biological databases of identified genetic associations to psychiatric diseases. These open up the possibility for researchers to use published results and thus profit from findings in their respective fields.

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