Genetic Epidemiology in Neurological Disorders
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Genetics and Genomics".
Deadline for manuscript submissions: 23 December 2024 | Viewed by 240
Special Issue Editors
Interests: statistical genetics; genetic epidemiology; multiple sclerosis; causal inference; Mendelian randomization; survival analysis; statistical analysis
Interests: statistical genetics; genetic epidemiology; multiple sclerosis; causal inference; Mendelian randomization; survival analysis; statistical analysis
Special Issue Information
Dear Colleagues,
Neurological disorders are among the most prevalent disorders, impacting millions of people globally. These conditions encompass a wide range of diseases, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis, each presenting unique challenges. The prevalence of neurological disorders underscores the critical need for advanced research to improve diagnosis and treatment. The burden of these disorders affects not only the individuals diagnosed but also their families and healthcare systems, emphasizing the importance of comprehensive care and support strategies.
These disorders result from a combination of genetic and environmental factors. In this context genetic epidemiology plays a crucial role in understanding the hereditary patterns and genetic risk factors associated with these disorders, both within families and across populations, as well as the interplay between genes and environmental factors. With the advent of omic technologies, this field has expanded significantly.
Insights gained from genetic epidemiology can inform public health strategies aimed at preventing these disorders and managing their impact on society.
In this Special Issue, we will collect contributions focused on developing and/or applying statistical methods in genetic epidemiology within the context of neurological disorders. Review papers addressing current advances in this field are also welcome.
Dr. Teresa Fazia
Dr. Andrea Nova
Guest Editors
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Keywords
- genome-wide association studies (GWAS)
- family-based linkage analyses
- mendelian randomization
- quantitative trait loci (QTL) mapping
- expression quantitative trait loci (eQTL) analysis
- polygenic risk scores (PRS)
- heritability studies
- gene–environment interaction
- epigenetics
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