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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

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The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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Multi-omics data integration methods and their applications in psychiatric disorders.

Anita Sathyanarayanan1, Tamara T Mueller2, Mohammad Ali Moni3

  • 1Queensland University of Technology, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Faculty of Health, Kelvin Grove, Queensland 4059, Australia.

European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology
|January 27, 2023
PubMed
Summary
This summary is machine-generated.

Researchers are integrating multi-omics data (genomics, transcriptomics, proteomics) with clinical data to understand mental illness. This approach aims to discover biomarkers for diagnosis and treatment, overcoming previous limitations of studying subsystems independently.

Keywords:
Bench to bedsideGenomicsMachine learningMulti-omicsPsychiatryStatisticsTranscriptomics

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Area of Science:

  • Psychiatric research and computational biology.
  • Focuses on understanding mental illness and health through integrated biological data.

Background:

  • Historically, mental illness research focused on isolated biological subsystems (genomics, transcriptomics, proteomics, clinical data).
  • Increasing data availability and decreasing sequencing costs enable comprehensive multi-omics data generation.
  • Growing evidence highlights the interconnectedness of biological systems in driving mental health and disease.

Approach:

  • Reviews conventional and advanced statistical and machine learning methods for multi-omics data integration.
  • Discusses approaches for biomarker discovery, diagnosis, and prediction of treatment response.
  • Highlights the role of biological models and in silico designs for clinical translation.

Key Points:

  • Multi-omics integration offers a holistic view of mental health and disease complexity.
  • Novel methods are crucial for efficiently combining diverse data types to find meaningful biomarkers.
  • Clinical translation of multi-omics findings remains a significant challenge.

Conclusions:

  • Multi-omics integration is essential for advancing psychiatric research and clinical practice.
  • Future research should focus on overcoming challenges in data integration and clinical translation.
  • This review provides a structured overview of current multi-omics approaches in psychiatry.