在位点异质性情况下血压的全基因组连锁分析。
Genome-wide linkage analysis of blood pressure under locus heterogeneity.
作者信息
Yang Xinqun, Wang Kai, Huang Jian, Vieland Veronica J
机构信息
Department of Biostatistics, Division of Statistical Genetics, The University of Iowa, Iowa City, USA.
出版信息
BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S78. doi: 10.1186/1471-2156-4-S1-S78.
Abstract
We describe a method for mapping quantitative trait loci that allows for locus heterogeneity. A genome-wide linkage analysis of blood pressure was performed using sib-pair data from the Framingham Heart Study. Evidence of linkage was found on four markers (GATA89G08, GATA23D06, GATA14E09, and 049xd2) at a significance level of 0.01. Two of them (GATA14E09 and 049xd2) seem to overlap with linkage signals reported previously, while the other two are not linked to any known signals.
摘要
我们描述了一种用于绘制数量性状基因座的方法，该方法允许基因座异质性。利用弗雷明汉心脏研究中的同胞对数据进行了全基因组血压连锁分析。在四个标记（GATA89G08、GATA23D06、GATA14E09和049xd2）上发现了连锁证据，显著性水平为0.01。其中两个（GATA14E09和049xd2）似乎与先前报道的连锁信号重叠，而另外两个与任何已知信号均无关联。
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