دورية أكاديمية

Exploring the role of underrepresented populations in polygenic risk scores for neurodegenerative disease risk prediction.

التفاصيل البيبلوغرافية
العنوان: Exploring the role of underrepresented populations in polygenic risk scores for neurodegenerative disease risk prediction.
المؤلفون: Step, Kathryn, Alene Ndong Sima, Carene Anne, Mata, Ignacio, Bardien, Soraya
المصدر: Frontiers in Neuroscience; 2024, p1-8, 8p
مصطلحات موضوعية: GENETIC risk score, NEURODEGENERATION, DISEASE risk factors, ALZHEIMER'S disease, APOLIPOPROTEIN E, ETIOLOGY of diseases
مستخلص: This article explores the role of underrepresented populations in polygenic risk scores (PRS) for predicting the risk of neurodegenerative diseases. Neurodegenerative diseases, such as Alzheimer's and Parkinson's, have a significant impact on global health, particularly in underrepresented populations. However, most genetic research and GWAS studies have focused on populations of European ancestry, leading to a lack of diversity in the data. PRS, which combines genetic susceptibility variants, can be used to estimate an individual's risk of developing a disease. However, there are challenges in applying PRS to underrepresented populations due to differences in genetic architecture and ancestry. Efforts are being made to improve the transferability of PRS across diverse populations and incorporate ancestry-specific genetic information. The text discusses the importance of including underrepresented populations (URPs) in genetic research, particularly in the context of polygenic risk scores (PRS) and genome-wide association studies (GWAS). It highlights the increasing efforts to include URPs in genomic studies through the establishment of biobanks and disease-specific consortia in various regions, such as Asia, Africa, Latin America, and Europe. The inclusion of URPs is crucial for understanding disease etiology, identifying population-specific risk variants, and improving disease prediction accuracy. The text also emphasizes the need for standardized databases that represent the global population and the integration of environmental and lifestyle factors in risk prediction models. The given document is a list of references for various scientific articles related to genetic research on neuro [Extracted from the article]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:16624548
DOI:10.3389/fnins.2024.1380860