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来自阿尔茨海默病全基因组关联研究的候选单核苷酸多态性

Candidate single-nucleotide polymorphisms from a genomewide association study of Alzheimer disease.

作者信息

Li Hao, Wetten Sally, Li Li, St Jean Pamela L, Upmanyu Ruchi, Surh Linda, Hosford David, Barnes Michael R, Briley James David, Borrie Michael, Coletta Natalie, Delisle Richard, Dhalla Daniella, Ehm Margaret G, Feldman Howard H, Fornazzari Luis, Gauthier Serge, Goodgame Neil, Guzman Danilo, Hammond Sandra, Hollingworth Paul, Hsiung Ging-Yuek, Johnson Joan, Kelly Devon D, Keren Ron, Kertesz Andrew, King Karen S, Lovestone Simon, Loy-English Inge, Matthews Paul M, Owen Michael J, Plumpton Mary, Pryse-Phillips William, Prinjha Rab K, Richardson Jill C, Saunders Ann, Slater Andrew J, St George-Hyslop Peter H, Stinnett Sandra W, Swartz Jina E, Taylor Rachel L, Wherrett John, Williams Julie, Yarnall David P, Gibson Rachel A, Irizarry Michael C, Middleton Lefkos T, Roses Allen D

机构信息

GlaxoSmithKline, Research Triangle Park, North Carolina, USA.

出版信息

Arch Neurol. 2008 Jan;65(1):45-53. doi: 10.1001/archneurol.2007.3. Epub 2007 Nov 12.

Abstract

OBJECTIVE

To identify single-nucleotide polymorphisms (SNPs) associated with risk and age at onset of Alzheimer disease (AD) in a genomewide association study of 469 438 SNPs.

DESIGN

Case-control study with replication.

SETTING

Memory referral clinics in Canada and the United Kingdom.

PARTICIPANTS

The hypothesis-generating data set consisted of 753 individuals with AD by National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer's Disease and Related Disorders Association criteria recruited from 9 memory referral clinics in Canada and 736 ethnically matched control subjects; control subjects were recruited from nonbiological relatives, friends, or spouses of the patients and did not exhibit cognitive impairment by history or cognitive testing. The follow-up data set consisted of 418 AD cases and 249 nondemented control cases from the United Kingdom Medical Research Council Genetic Resource for Late-Onset AD recruited from clinics at Cardiff University, Cardiff, Wales, and King's College London, London, England.

MAIN OUTCOME MEASURES

Odds ratios and 95% confidence intervals for association of SNPs with AD by logistic regression adjusted for age, sex, education, study site, and French Canadian ancestry (for the Canadian data set). Hazard ratios and 95% confidence intervals from Cox proportional hazards regression for age at onset with similar covariate adjustments.

RESULTS

Unadjusted, SNP RS4420638 within APOC1 was strongly associated with AD due entirely to linkage disequilibrium with APOE. In the multivariable adjusted analyses, 3 SNPs within the top 120 by P value in the logistic analysis and 1 in the Cox analysis of the Canadian data set provided additional evidence for association at P< .05 within the United Kingdom Medical Research Council data set: RS7019241 (GOLPH2), RS10868366 (GOLPH2), RS9886784 (chromosome 9), and RS10519262 (intergenic between ATP8B4 and SLC27A2).

CONCLUSIONS

Our genomewide association analysis again identified the APOE linkage disequilibrium region as the strongest genetic risk factor for AD. This could be a consequence of the coevolution of more than 1 susceptibility allele, such as APOC1, in this region. We also provide new evidence for additional candidate genetic risk factors for AD that can be tested in further studies.

摘要

目的

在一项对469438个单核苷酸多态性(SNP)进行的全基因组关联研究中,确定与阿尔茨海默病(AD)发病风险及发病年龄相关的SNP。

设计

病例对照研究并进行重复验证。

地点

加拿大和英国的记忆转诊诊所。

参与者

用于生成假设的数据集包括按照美国国立神经病学与沟通障碍及中风研究所/阿尔茨海默病及相关疾病协会标准确定的753例AD患者,这些患者来自加拿大的9个记忆转诊诊所;以及736名种族匹配的对照者,对照者从患者的非生物学亲属、朋友或配偶中招募,且经病史及认知测试未表现出认知损害。随访数据集包括418例AD病例和249例非痴呆对照病例,来自英国医学研究委员会晚发性AD遗传资源库,这些病例从威尔士卡迪夫大学和英国伦敦国王学院的诊所招募。

主要观察指标

通过对年龄、性别、教育程度、研究地点和法裔加拿大血统(针对加拿大数据集)进行逻辑回归调整后,SNP与AD关联的优势比及95%置信区间。通过Cox比例风险回归对发病年龄进行类似协变量调整后的风险比及95%置信区间。

结果

未经调整时,APOC1内的SNP RS4420638与AD显著相关,这完全是由于与APOE的连锁不平衡所致。在多变量调整分析中,加拿大数据集逻辑分析中P值排名前120的3个SNP以及Cox分析中的1个SNP,在英国医学研究委员会数据集中P<0.05时提供了额外的关联证据:RS7019241(GOLPH2)、RS10868366(GOLPH2)、RS9886784(9号染色体)和RS10519262(ATP8B4和SLC27A2之间的基因间区域)。

结论

我们的全基因组关联分析再次确定APOE连锁不平衡区域是AD最强的遗传风险因素。这可能是该区域多个易感等位基因(如APOC1)共同进化的结果。我们还为AD的其他候选遗传风险因素提供了新证据,可在进一步研究中进行检验。

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