Genetic Research on Neuropsychiatric Disorders and Complex Human Diseases
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular Genetics and Genetic Diseases".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 590
Special Issue Editor
Special Issue Information
Dear Colleagues,
Genetic research on neuropsychiatric disorders and other complex human diseases, such as cancer, autoimmune conditions, and aging-related diseases, is advancing rapidly, employing a diverse range of methodologies. This Special Issue aims to explore the intersection of genetic factors across these various diseases, highlighting the integration of traditional techniques and modern approaches. Neuropsychiatric disorders, including schizophrenia, bipolar disorder, and major depression, exemplify the intricate interplay of genetic, environmental, and lifestyle influences. Simultaneously, complex diseases like cancer and autoimmune disorders present unique genetic challenges and opportunities for research. By utilizing bioinformatics tools and advanced data analysis methods, researchers can effectively analyze large-scale genomic datasets. Traditional approaches, such as linkage analysis and candidate gene studies, are complemented by modern multi-omics strategies—encompassing genomics, transcriptomics, proteomics, and metabolomics—to provide a holistic understanding of disease mechanisms. This integrative approach facilitates the identification of genetic variations and their biological implications across multiple disease contexts. Additionally, sophisticated data analysis techniques, including statistical modeling and network analysis, enhance our ability to decipher complex biological interactions. Ultimately, this Special Issue seeks to illuminate the multifaceted landscape of genetic research across neuropsychiatric and other complex human diseases, paving the way for improved diagnostics and treatment strategies.
Dr. Wen Zhang
Guest Editor
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Keywords
- neuropsychiatric disorders
- complex human diseases
- genetic research
- omics data analysis
- high-throughput sequencing
- machine learning
- disease mechanism
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