Genetic Susceptibility in Human Diseases
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Genetics and Genomics".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 878
Special Issue Editor
Special Issue Information
Dear Colleagues,
Rapid advancements in genomic technologies and bioinformatics have transformed our understanding of genetic susceptibility in human diseases. Genetic variants, combined with environmental factors, critically influence disease onset, progression, and therapeutic outcomes across diverse populations. This Special Issue of International Journal of Molecular Sciences aims to compile cutting-edge research on the genetic mechanisms underlying disease susceptibility, emphasizing their potential to advance precision medicine and public health strategies. We seek original research, comprehensive reviews, and insightful perspectives that deepen our knowledge and drive innovation in this field.
Topics of interest include the following:
- The identification of genetic variants linked to disease susceptibility;
- Gene–environment interactions shaping disease risk;
- Epigenetic mechanisms influencing predisposition;
- Biomarkers for disease screening, diagnosis, and prognosis;
- Pharmacogenomics and personalized therapeutic approaches;
- Polygenic risk scores for clinical risk assessment;
- Genetic factors in complex diseases (e.g., cancer, cardiovascular, neurodegenerative, autoimmune);
- Population genetics and diversity in susceptibility;
- Bioinformatics tools and databases for genetic research;
- Ethical, legal, and social implications of genetic studies.
This open access Special Issue welcomes contributions that bridge fundamental science, clinical applications, and translational research, fostering the development of novel diagnostics and targeted therapies.
Dr. Xiaowu Gai
Guest Editor
Manuscript Submission Information
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Keywords
- bioinformatics
- genomics
- genetic susceptibility to disease
- genetic variation
- gene–environment interactions
- biomarkers
- epigenetic mechanisms
- pharmacogenomics
- population genetics
- bioinformatics tools and databases
- novel diagnostics
- targeted therapies
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