Alzheimer's Disease Genetics
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Neurobiology and Clinical Neuroscience".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 1844
Special Issue Editors
2. NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, 63110, USA
3. Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, 63110, USA
Interests: biomarkers; dementia; genetics; stroke; bioinformatics
Special Issues, Collections and Topics in MDPI journals
2. Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
3. Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY, 40536, USA
4. Department of Microbiology, Immunology, and Molecular Genetics, University of Kentucky, Lexington, KY, 40536 USA
Interests: bioinformatics; Alzheimer’s disease; genetics; evolution; machine learning; algorithms; pedigree analysis; rare variant analysis; codon usage bias; synonymous variation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Alzheimer's disease and related dementias pose an increasing global health challenge, with a substantial genetic component underlying their development and progression. We encourage submissions on a wide range of topics related to the genetics of Alzheimer's disease, including, but not limited to:
- Genetic Variant Associations: Original research exploring the influence of specific rare and common genetic variants on Alzheimer's disease susceptibility and progression.
- Genetic Biomarkers: Papers elucidating the use of genetic markers for early diagnosis, disease risk assessment and personalized treatment strategies.
- Genetic Heterogeneity: Studies addressing the genetic heterogeneity of Alzheimer's disease and its implications for clinical practice.
- Epigenetics, Gene Regulation and Gene Expression: Investigations into epigenetic mechanisms, gene regulatory processes and transcriptomic studies that are relevant to Alzheimer's disease pathogenesis.
- Genetic Technologies: Articles focusing on how state-of-the-art technologies, including machine learning, improve Alzheimer's disease research.
- Emerging and Established Therapeutic Strategies: Reviews or original research discussing novel therapeutic interventions targeting the genetic aspects of Alzheimer’s disease, or how genetics relate to already-approved (or soon to be approved) therapies.
Dr. Laura Ibanez
Dr. Justin Miller
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomedicines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Alzheimer’s disease
- genetics
- molecular targets
- biomarker
- machine learning
- heterogeneity
- therapeutics
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