Prediction of Alzheimer's disease using multi-variants from a Chinese genome-wide association study
| Autor: | Longfei Jia, Fangyu Li, Cuibai Wei, Min Zhu, Qiumin Qu, Wei Qin, Yi Tang, Luxi Shen, Yanjiang Wang, Lu Shen, Honglei Li, Dantao Peng, Lan Tan, Benyan Luo, Qihao Guo, Muni Tang, Yifeng Du, Jiewen Zhang, Junjian Zhang, Jihui Lyu, Ying Li, Aihong Zhou, Fen Wang, Changbiao Chu, Haiqing Song, Liyong Wu, Xiumei Zuo, Yue Han, Junhua Liang, Qi Wang, Hongmei Jin, Wei Wang, Yang Lü, Fang Li, Yuying Zhou, Wei Zhang, Zhengluan Liao, Qiongqiong Qiu, Yan Li, Chaojun Kong, Haishan Jiao, Jie Lu, Jianping Jia |
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| Rok vydání: | 2020 |
| Předmět: |
Male
0301 basic medicine Apolipoprotein E Genotype Population Genome-wide association study Single-nucleotide polymorphism Disease Bioinformatics Polymorphism Single Nucleotide predictive model 03 medical and health sciences 0302 clinical medicine Asian People Alzheimer Disease Amyloid precursor protein Genetic predisposition Humans Genetic Predisposition to Disease education Aged Genetic association Aged 80 and over education.field_of_study genome-wide association study Chinese biology AcademicSubjects/SCI01870 longitudinal cohort Original Articles Middle Aged 030104 developmental biology biology.protein AcademicSubjects/MED00310 Female Neurology (clinical) Alzheimer’s disease 030217 neurology & neurosurgery |
| Zdroj: | Brain |
| ISSN: | 1460-2156 0006-8950 |
| DOI: | 10.1093/brain/awaa364 |
| Popis: | Previous genome-wide association studies have identified dozens of susceptibility loci for sporadic Alzheimer’s disease, but few of these loci have been validated in longitudinal cohorts. Establishing predictive models of Alzheimer’s disease based on these novel variants is clinically important for verifying whether they have pathological functions and provide a useful tool for screening of disease risk. In the current study, we performed a two-stage genome-wide association study of 3913 patients with Alzheimer’s disease and 7593 controls and identified four novel variants (rs3777215, rs6859823, rs234434, and rs2255835; Pcombined = 3.07 × 10−19, 2.49 × 10−23, 1.35 × 10−67, and 4.81 × 10−9, respectively) as well as nine variants in the apolipoprotein E region with genome-wide significance (P Jia et al. identify novel Alzheimer’s disease-related variants in a two-stage genome-wide association study in a Chinese population, and use the variants to build 11 predictive models. Validation of the models in a separate longitudinal cohort confirms that they can predict Alzheimer's disease risk. |
| Databáze: | OpenAIRE |
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