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帕金森病认知障碍的大规模探索性基因分析。

Large-scale exploratory genetic analysis of cognitive impairment in Parkinson's disease.

作者信息

Mata Ignacio F, Johnson Catherine O, Leverenz James B, Weintraub Daniel, Trojanowski John Q, Van Deerlin Vivianna M, Ritz Beate, Rausch Rebecca, Factor Stewart A, Wood-Siverio Cathy, Quinn Joseph F, Chung Kathryn A, Peterson-Hiller Amie L, Espay Alberto J, Revilla Fredy J, Devoto Johnna, Yearout Dora, Hu Shu-Ching, Cholerton Brenna A, Montine Thomas J, Edwards Karen L, Zabetian Cyrus P

机构信息

Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA; Department of Neurology, University of Washington School of Medicine, Seattle, WA, USA.

Department of Epidemiology, School of Medicine, University of California Irvine, Irvine, CA, USA.

出版信息

Neurobiol Aging. 2017 Aug;56:211.e1-211.e7. doi: 10.1016/j.neurobiolaging.2017.04.009. Epub 2017 Apr 20.

DOI:10.1016/j.neurobiolaging.2017.04.009
PMID:28526295
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5536182/
Abstract

Cognitive impairment is a common and disabling problem in Parkinson's disease (PD). Identification of genetic variants that influence the presence or severity of cognitive deficits in PD might provide a clearer understanding of the pathophysiology underlying this important nonmotor feature. We genotyped 1105 PD patients from the PD Cognitive Genetics Consortium for 249,336 variants using the NeuroX array. Participants underwent assessments of learning and memory (Hopkins Verbal Learning Test-Revised [HVLT-R]), working memory/executive function (Letter-Number Sequencing and Trail Making Test [TMT] A and B), language processing (semantic and phonemic verbal fluency), visuospatial abilities (Benton Judgment of Line Orientation [JoLO]), and global cognitive function (Montreal Cognitive Assessment). For common variants, we used linear regression to test for association between genotype and cognitive performance with adjustment for important covariates. Rare variants were analyzed using the optimal unified sequence kernel association test. The significance threshold was defined as a false discovery rate-corrected p-value (P) of 0.05. Eighteen common variants in 13 genomic regions exceeded the significance threshold for one of the cognitive tests. These included GBA rs2230288 (E326K; P = 2.7 × 10) for JoLO, PARP4 rs9318600 (P = 0.006), and rs9581094 (P = 0.006) for HVLT-R total recall, and MTCL1 rs34877994 (P = 0.01) for TMT B-A. Analysis of rare variants did not yield any significant gene regions. We have conducted the first large-scale PD cognitive genetics analysis and nominated several new putative susceptibility genes for cognitive impairment in PD. These results will require replication in independent PD cohorts.

摘要

认知障碍是帕金森病(PD)中常见且致残的问题。识别影响PD认知缺陷的存在或严重程度的基因变异,可能有助于更清楚地了解这一重要非运动特征背后的病理生理学。我们使用NeuroX芯片对来自帕金森病认知遗传学联盟的1105名PD患者的249,336个变异进行了基因分型。参与者接受了学习和记忆评估(修订版霍普金斯词语学习测验[HVLT-R])、工作记忆/执行功能评估(字母数字排序和连线测验[TMT]A和B)、语言处理评估(语义和音素言语流畅性)、视觉空间能力评估(本顿直线方向判断[JoLO])以及整体认知功能评估(蒙特利尔认知评估)。对于常见变异,我们使用线性回归来测试基因型与认知表现之间的关联,并对重要协变量进行校正。使用最优统一序列核关联检验分析罕见变异。显著性阈值定义为错误发现率校正后的p值(P)为0.05。13个基因组区域中的18个常见变异在一项认知测试中超过了显著性阈值。其中包括JoLO的GBA rs2230288(E326K;P = 2.7×10)、HVLT-R总回忆的PARP4 rs9318600(P = 0.006)和rs9581094(P = 0.006),以及TMT B-A的MTCL1 rs34877994(P = 0.01)。对罕见变异的分析未产生任何显著的基因区域。我们进行了首次大规模的PD认知遗传学分析,并确定了几个新的可能导致PD认知障碍的易感基因。这些结果需要在独立的PD队列中进行重复验证。

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本文引用的文献

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α-synuclein genetic variability: A biomarker for dementia in Parkinson disease.α-突触核蛋白遗传变异:帕金森病痴呆的生物标志物。
Ann Neurol. 2016 Jun;79(6):991-9. doi: 10.1002/ana.24664. Epub 2016 May 5.
2
APOE, MAPT, and COMT and Parkinson's Disease Susceptibility and Cognitive Symptom Progression.载脂蛋白 E、微管相关蛋白 tau 和儿茶酚-O-甲基转移酶与帕金森病易感性和认知症状进展的关系。
J Parkinsons Dis. 2016 Apr 2;6(2):349-59. doi: 10.3233/JPD-150762.
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Markers of cognitive decline in PD: The case for heterogeneity.帕金森病认知衰退的标志物:异质性情况
帕金森病执行功能综合量表:一种用于在临床试验中检测认知衰退的测量工具。
Neurology. 2024 Jul 23;103(2):e209609. doi: 10.1212/WNL.0000000000209609. Epub 2024 Jun 13.
4
Machine learning for the detection and diagnosis of cognitive impairment in Parkinson's Disease: A systematic review.机器学习在帕金森病认知障碍检测和诊断中的应用:系统评价。
PLoS One. 2024 May 16;19(5):e0303644. doi: 10.1371/journal.pone.0303644. eCollection 2024.
5
APOE E4 is associated with impaired self-declared cognition but not disease risk or age of onset in Nigerians with Parkinson's disease.在患有帕金森病的尼日利亚人中,APOE E4与自我报告的认知障碍相关,但与疾病风险或发病年龄无关。
NPJ Parkinsons Dis. 2022 Nov 12;8(1):155. doi: 10.1038/s41531-022-00411-x.
6
GBA and APOE Impact Cognitive Decline in Parkinson's Disease: A 10-Year Population-Based Study.GBA 和 APOE 对帕金森病认知衰退的影响:一项基于人群的 10 年研究。
Mov Disord. 2022 May;37(5):1016-1027. doi: 10.1002/mds.28932. Epub 2022 Feb 2.
7
Machine Learning Identifies Six Genetic Variants and Alterations in the Heart Atrial Appendage as Key Contributors to PD Risk Predictivity.机器学习识别出心脏心耳中的六种基因变异和改变是帕金森病风险预测的关键因素。
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Investigating the relationship between the SNCA gene and cognitive abilities in idiopathic Parkinson's disease using machine learning.使用机器学习研究特发性帕金森病中 SNCA 基因与认知能力的关系。
Sci Rep. 2021 Mar 1;11(1):4917. doi: 10.1038/s41598-021-84316-4.
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Common X-Chromosome Variants Are Associated with Parkinson Disease Risk.常见的 X 染色体变异与帕金森病风险相关。
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JAMA Neurol. 2014 Nov;71(11):1405-12. doi: 10.1001/jamaneurol.2014.1455.
10
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