Genetic Stratification to Identify Risk Groups for Alzheimer’s Disease
نویسندگان
چکیده
Stratification by genetic risk factors for Alzheimer's disease (AD) may help identify groups with the greatest disease risk. Biological changes that cause late-onset AD are likely to occur years, if not decades prior to diagnosis. Here, we select a subset of the Generation Scotland: Scottish Family Health Study cohort in a likely preclinical age-range of 60-70 years (subset n = 3,495 with cognitive and genetic data). We test for cognitive differences by polygenic risk scores for AD. The polygenic scores are constructed using all available SNPs, excluding those within a 500 kb distance of the APOE locus. Additive and multiplicative effects of APOE status on these associations are investigated. Small memory decrements were observed in those with high polygenic risk scores for AD (standardized beta -0.04, p = 0.020). These associations were independent of APOE status. There was no difference in AD polygenic scores across APOE haplotypes (p = 0.72). Individuals with high compared to low polygenic risk scores for AD (top and bottom 5% of the distribution) show cognitive decrements, albeit much smaller than for APOE ɛ4ɛ4 compared to ɛ3ɛ3 individuals (2.3 versus 3.5 fewer points on the processing speed test, and 1.8 versus 2.8 fewer points on the memory test). Polygenic risk scores for AD may help identify older individuals at greatest risk of cognitive decline and preclinical AD.
منابع مشابه
Identification of Genetic Polymorphism Interactions in Sporadic Alzheimer’s Disease Using Logic Regression
Objectives: Genetic polymorphism interactions are among the important factors in affliction with complex diseases like Alzheimer’s disease. The important goal of genetic association studies is to identify a combination of polymorphisms and measure their importance in increasing the risk of occurrence of such diseases. In this study, feature selection approach of logic regression was used to ide...
متن کاملProbability Model of Allele Frequency of Alzheimer’s Disease Genetic Risk Factor
Background and Purpose: The identification of genetics risk factors of human diseases is very important. This study is conducted to model the allele frequencies (AFs) of Alzheimer’s disease. Materials and Methods: In this study, several candidate probability distributions are fitted on a data set of Alzheimer’s disease genetic risk factor. Unknown parameters of the considered dis...
متن کاملLigand-based pharmacophore modeling to identify plant-derived acetylcholinesterase inhibitor natural compounds in Alzheimer’s disease
Background: Alzheimer’s disease (AD) is a neurodegenerative disease characterized by decreased cognitive function in patients due to forming Aβ peptides and neurofibrillary tangles (NFT) in the brain. Therefore, the need to develop new treatments can reduce this risk. Acetylcholinesterase is one of the targets used in the design of new drugs for the treatment of AD. The researchers obtain new i...
متن کاملThe Evaluation of Relationship Between Eichner Index and Alzheimer’s Disease
Abstract Background & Aim: Alzheimer’s disease is a degenerative and progressive disorder resulting in cognitive impairment. Tooth loss is suggested as a significant risk factor for Alzheimer’s disease. In order to investigate the relationship of Eichner index and Alzheimer’s disease, this study is conducted at 2018 in the Neurology Department of Imam Hossein Hospital and Department of Prost...
متن کاملInvestigation of genetic variation of IL-4 receptor rs1801275 in patients with multiple sclerosis in Isfahan
Aim and Background: Multiple sclerosis (MS) is an autoimmune inflammatory disease that attacks myelinated axons in the central nervous system (CNS) resulting in destroying the myelin and the axon. According to high prevalence of disease in Iran, it needs to study different aspects of disease including factors influencing the pathogenesis and the other risk factors. Various type of genetic varia...
متن کامل