Genome-wide approaches for identifying interacting susceptibility regions for asthma.
Genome-wide approaches for identifying interacting susceptibility regions for asthma.
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用于识别哮喘相互作用易感区域的全基因组方法。
DOI：
10.1002/gepi.2001.21.s1.s266
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Cox,NJ
中科院分区：
文献类型：
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作者：
Colilla,S;Tsalenko,A;Pluznikov,A;Cox,NJ
利用全基因组相关性分析和聚类分析来确定家族间具有相似非参数连锁评分的染色体区域，以定位哮喘相互作用的易感基因座。进行条件分析以检测lod评分相对于基线的任何增加。在德国和CSGA哮喘数据集中最强的5%相关性中，有8个发生在两个数据集中。在两个数据集中发现的最强的正相关性是在2号染色体上的200 cM区域与12号染色体上的90-120 cM（r = 0.26）以及与6号染色体上的40-70 cM（r = 0.24）之间。虽然聚类分析没有发现任何在数据集上聚类的区域，但这种方法确实检测到了以前与哮喘有关的区域的聚类。© 2001 Wiley利斯公司
A genome‐wide correlation analysis and cluster analysis were utilized to determine chromosomal regions that had similar nonparametric linkage scores across families in order to locate interacting susceptibility loci for asthma. Conditional analysis was performed to detect any increase in lod score over baseline. Eight of the strongest 5% of the correlations in the German and CSGA asthma data sets occurred in both data sets. The strongest positive correlations found in both data sets were between the 200 cM region on chromosome 2 with chromosome 12 at 90–120 cM (r = 0.26) and also with chromosome 6 at 40–70 cM (r = 0.24). While the cluster analysis did not find any regions that clustered across data sets, this method did detect clustering in regions that have been previously linked to asthma. © 2001 Wiley‐Liss, Inc.