首页> 外文期刊>European journal of human genetics: EJHG >Meta-analysis of genome-wide linkage studies for multiple sclerosis, using an extended GSMA method.
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Meta-analysis of genome-wide linkage studies for multiple sclerosis, using an extended GSMA method.

机译:使用扩展的GSMA方法对多发性硬化症进行全基因组连锁研究的荟萃分析。

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Many genome-wide linkage studies in multiple sclerosis (MS) have been performed, but results are disappointing, with linkage confirmed only in the HLA region. We combined results from all available, non-overlapping genome-wide linkage studies in MS using the Genome Search Meta-Analysis method (GSMA). The GSMA is a rank-based analysis, which assesses the strongest evidence for linkage within bins of traditionally 30 cM width on the autosomes and X chromosome. Genome-wide evidence for linkage was confirmed on chromosome 6p (HLA region; P=0.00004). Suggestive evidence for linkage was found on chromosomes 10q (P=0.0077), 18p (P=0.0054) and 20p (P=0.0079). To explore how these results could be affected by bin definition, we analysed the data using different bin widths (20 and 40 cM) and using a shifted 30 cM bin by moving bin boundaries by 15 cM. Consistently significant results were obtained for the 6p region. The regions on 10q and 18p provided suggestive evidence for linkage in some analyses, and, interestingly, a region on 6q, that showed only nominal significance in the original analysis, yielded increased, suggestive significance in two of the additional analyses. These regions may provide targets to focus candidate gene studies or to prioritise results from genome-wide association studies.
机译:已经进行了多发性硬化症(MS)的许多全基因组连锁研究,但结果令人失望,仅在HLA区域证实了连锁。我们使用基因组搜索元分析方法(GSMA)将所有可用的,不重叠的全基因组连锁研究在MS中进行了合并。 GSMA是基于等级的分析,它评估了常染色体和X染色体上传统上30 cM宽度的条带内连锁的最有力证据。基因组范围内连锁的证据在6p染色体(HLA区; P = 0.00004)上得到了证实。在10q(P = 0.0077),18p(P = 0.0054)和20p(P = 0.0079)染色体上发现了连锁的暗示性证据。为了探索这些结果如何受到bin定义的影响,我们使用不同的bin宽度(20和40 cM)并通过将bin边界移动15 cM使用移位的30 cM bin来分析数据。在6p区域获得了一致的显着结果。 10q和18p上的区域在某些分析中提供了联系的暗示证据,有趣的是,6q上的区域在原始分析中仅显示名义意义,在另外两个分析中产生了增加的暗示意义。这些区域可以提供目标,以专注于候选基因研究或优先考虑全基因组关联研究的结果。

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