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首页> 外文期刊>Genes and immunity. >Mapping candidate non-MHC susceptibility regions to multiple sclerosis.
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Mapping candidate non-MHC susceptibility regions to multiple sclerosis.

机译:将候选非MHC易感性区域映射到多发性硬化症。

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摘要

Understanding the genetic basis of multiple sclerosis (MS) remains a major challenge, despite decades of intensive research. In order to identify candidate non-MHC susceptibility regions to MS, the results of whole genome screens for linkage or association and follow-up studies in 18 different populations were superimposed together in a combined genomic map. Analysis of this map led to the prediction of at least 38 potential susceptibility regions, each showing linkage and/or association in several populations. Among these, 17 regions were the most reproducibly reported in these studies, thus representing top predicted candidates for MS. This non-formal approach to meta-analysis demonstrated the ability to verify results and retrieve lost information in an association study. Assessment of the map in a Northern Irish refined screen (n=415 cases, n=490 controls) revealed association in 15 regions (P<0.05), including 10 promising candidates on chromosomes 1p13, 2p13, 2q14, 3p23, 7q21, 13q14, 15q13, 17p13,18q21 and 20p12 (P<0.0025). Seven of these regions were previously overlooked in the Northern Irish whole genome association study. Collating results from numerous studies, this draft map represents a tool that should facilitate the analysis of the genetic backgrounds of MS in many populations.
机译:尽管进行了数十年的深入研究,但了解多发性硬化症(MS)的遗传基础仍然是一项重大挑战。为了鉴定对MS的候选非MHC敏感性区域,将18个不同人群的连锁或结合和后续研究的全基因组筛选结果叠加在组合的基因组图中。对该图的分析导致对至少38个潜在磁化率区域的预测,每个磁化率区域都显示了多个人群的联系和/或关联。在这些研究中,其中17个区域的重复性最高,代表了MS的最高预测候选者。这种非正规的荟萃分析方法证明了在关联研究中验证结果和检索丢失的信息的能力。在北爱尔兰精制筛选中对地图进行评估(n = 415例,n = 490对照)显示在15个区域有关联(P <0.05),包括染色体1p13、2p13、2q14、3p23、7q21、13q14上的10个有希望的候选者, 15q13、17p13、18q21和20p12(P <0.0025)。在北爱尔兰全基因组关联研究中,先前忽略了其中七个区域。汇总了众多研究的结果后,该地图草案代表了一种工具,应有助于分析许多人群中MS的遗传背景。

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