Genome-wide significant association with seven novel multiple sclerosis risk loci
Genome-wide significant association with seven novel multiple sclerosis risk loci
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DOI：
10.1136/jmedgenet-2015-103442
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发表时间：
2015-12-01
影响因子：
4
通讯作者：
Bertram, Lars
中科院分区：
文献类型：
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作者：
Lill, Christina M.;Luessi, Felix;Bertram, Lars
目的 最近一项使用免疫芯片平台对多发性硬化症 (MS) 进行的大规模研究报告了 11 个位点，这些位点显示与 MS 存在遗传关联。需要足够大且独立的数据集中的额外数据来评估这些基因座是否代表真正的多发性硬化症危险因素。方法对来自德国、西班牙、法国、荷兰、奥地利和俄罗斯的 10 796 名多发性硬化症病例和 10 793 名对照的所有 11 个基因座的主要 SNP 进行基因分型，这些病例独立于之前报告的队列。使用基于加性模型的逻辑回归进行关联分析。使用固定效应荟萃分析计算总结效应大小估计值。结果 11 个测试的 SNP 中有 7 个显示与此处分析的 21 589 名个体的 MS 易感性显着相关。对我们和之前发布的 MS 病例对照数据（总样本量 n=101 683）进行的荟萃分析揭示了新的全基因组范围内与 MS 易感性的显着关联（p
Objective A recent large-scale study in multiple sclerosis (MS) using the ImmunoChip platform reported on 11 loci that showed suggestive genetic association with MS. Additional data in sufficiently sized and independent data sets are needed to assess whether these loci represent genuine MS risk factors.Methods The lead SNPs of all 11 loci were genotyped in 10 796 MS cases and 10 793 controls from Germany, Spain, France, the Netherlands, Austria and Russia, that were independent from the previously reported cohorts. Association analyses were performed using logistic regression based on an additive model. Summary effect size estimates were calculated using fixed-effect meta-analysis.Results Seven of the 11 tested SNPs showed significant association with MS susceptibility in the 21 589 individuals analysed here. Meta-analysis across our and previously published MS case-control data (total sample size n=101 683) revealed novel genome-wide significant association with MS susceptibility (p