Stefanos N Sampatakakis, Niki Mourtzi, Alex Hatzimanolis, Nikolaos Scarmeas
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The identification of additional genetic risk factors has led to the construction of specific genetic risk scores for dementia, considering many different genetic factors and specific biological pathways related to Alzheimer's disease.</p><p><strong>Methods: </strong>We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis method, summarizing existing data regarding genetic risk scores for Alzheimer's disease and dementia, in order to improve the current understanding of the genetic underpinnings of dementia. In specific, five databases (PubMed/MEDLINE, Embase, Scopus, Web of science, and Cochrane Central) were searched using the keywords \"genetic risk score\", \"Alzheimer's disease\", and \"dementia\" with specific inclusion and exclusion criteria.</p><p><strong>Results: </strong>From the 552 articles identified, we finally included 20 studies for the qualitative analysis. 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引用次数: 0
摘要
背景:关于痴呆症遗传风险的研究最近有了新的方向。全基因组关联研究的新发现强调了阿尔茨海默病的发病率与许多基因多态性的关联,除了载脂蛋白e基因型。对其他遗传风险因素的识别导致了痴呆症特定遗传风险评分的构建,考虑了许多不同的遗传因素和与阿尔茨海默病相关的特定生物学途径。方法:我们按照系统评价的首选报告项目和荟萃分析方法进行了系统评价,总结了有关阿尔茨海默病和痴呆遗传风险评分的现有数据,以提高目前对痴呆遗传基础的理解。具体而言,我们使用关键词“遗传风险评分”、“阿尔茨海默病”和“痴呆”进行了5个数据库(PubMed/MEDLINE、Embase、Scopus、Web of science和Cochrane Central)的检索,并给出了特定的纳入和排除标准。结果:从552篇文章中,我们最终纳入了20篇研究进行定性分析。这些报告被分为三种不同的遗传评分:“多基因风险评分(PRSs)”。(包括11项研究),“通路特异性多基因风险评分(p-PRSs)”(5项研究)和“复杂遗传风险评分”(4项研究)。结论:现有的遗传风险评分有助于更好地预测痴呆和更好地了解潜在病理。整合多个多基因风险评分的新方法可能改善遗传风险评分的准确性。结合相关生物学途径或相关生物标志物特异性的多基因风险评分对于获得更好的预测能力至关重要。
Advances in Genetic Risk Scores for Alzheimer's Disease and Dementia: A Systematic Review.
Background: Research concerning the genetic risk for dementia has recently been headed towards new directions. Novel findings from genome-wide association studies have highlighted the association of Alzheimer's disease incidence with many gene polymorphisms, apart from the Apolipoprotein-E genotype. The identification of additional genetic risk factors has led to the construction of specific genetic risk scores for dementia, considering many different genetic factors and specific biological pathways related to Alzheimer's disease.
Methods: We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis method, summarizing existing data regarding genetic risk scores for Alzheimer's disease and dementia, in order to improve the current understanding of the genetic underpinnings of dementia. In specific, five databases (PubMed/MEDLINE, Embase, Scopus, Web of science, and Cochrane Central) were searched using the keywords "genetic risk score", "Alzheimer's disease", and "dementia" with specific inclusion and exclusion criteria.
Results: From the 552 articles identified, we finally included 20 studies for the qualitative analysis. These reports were classified in three different categories of genetic scores: "polygenic risk scores (PRSs)" (including 11 studies), "pathway specific polygenic risk scores (p-PRSs)" (5 studies), and "complex genetic risk scores" (4 studies).
Conclusions: Existing genetic risk scores have contributed to better dementia prediction and a better understanding of the underlying pathology. Novel approaches integrating multiple polygenic risk scores might ameliorate the accuracy of genetic risk scores. The combination of polygenic risk scores that are specific to related biological pathways or relevant biomarkers is of utmost importance to achieve a better predictive ability.