About this Research Topic
Over the past 17 years, genome-wide association studies (GWASs) have reported numerous susceptibility loci that provide useful insights into the molecular etiology of complex human disorders. However, elucidating the underlying genomic and molecular mechanisms of these disorders and how to apply these findings into clinical settings have been limited and challenging. Integration of genetics and multi-omics data including phenomics, transcriptomics (bulk and single-cell), proteomics, metabolomics, and microbiomics has offer a more thorough understanding of the complexity of biological systems. This is also essential to allow translation into clinically beneficial assessments and interventions for individuals with complex diseases.
The primary goal of this Research Topic is to provide cutting-edge research in the field of integrative genetics and genomics of complex human disorders including psychiatric, allergic, immune-mediated, and infectious diseases among others. It aims to cover, but not limited to, the following subtopics:
- Integrated analysis of genetics and multi-omics to unravel the pathophysiology of complex disorders
- Exploration of biological subtypes of complex disorders that will lead to better diagnosis, prevention, and intervention
- Cross-phenotype analysis to uncover the potential causal associations across different clinical subtypes of complex disorders
- Development of new computational methods for integrated analysis of genetics and multi-omics data
- Development of a publicly available database or graphical user interface of integrating genetics and multi-omics datasets of specific complex disorders.
The primary goal of this Research Topic is to provide cutting-edge research in the field of integrative genetics and genomics of complex human disorders including psychiatric, allergic, immune-mediated, and infectious diseases among others. It aims to cover, but not limited to, the following subtopics:
- Integrated analysis of genetics and multi-omics to unravel the pathophysiology of complex disorders
- Exploration of biological subtypes of complex disorders that will lead to better diagnosis, prevention, and intervention
- Cross-phenotype analysis to uncover the potential causal associations across different clinical subtypes of complex disorders
- Development of new computational methods for integrated analysis of genetics and multi-omics data
- Development of a publicly available database or graphical user interface of integrating genetics and multi-omics datasets of specific complex disorders.
Keywords: GWAS, susceptibility loci, multi-omics, phenomics, proteomics, metabolomics, microbiomics
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