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A method for determining haploid and triploid genotypes and their association with vascular phenotypes in Williams syndrome and 7q11.23 duplication syndrome

机译:确定威廉姆斯综合征和7q11.23重复综合征单倍体和三倍体基因型及其与血管表型的关联的方法

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Williams syndrome ([WS], 7q11.23 hemideletion) and 7q11.23 duplication syndrome (Dup7) show contrasting syndromic symptoms. However, within each group there is considerable interindividual variability in the degree to which these phenotypes are expressed. Though software exists to identify areas of copy number variation (CNV) from commonly-available SNP-chip data, this software does not provide non-diploid genotypes in CNV regions. Here, we describe a method for identifying haploid and triploid genotypes in CNV regions, and then, as a proof-of-concept for applying this information to explain clinical variability, we test for genotype-phenotype associations. Blood samples for 25 individuals with WS and 13 individuals with Dup7 were genotyped with Illumina-HumanOmni5M SNP-chips. PennCNV and in-house code were used to make genotype calls for each SNP in the 7q11.23 locus. We tested for association between the presence of aortic arteriopathy and genotypes of the remaining (haploid in WS) or duplicated (triploid in Dup7) alleles. Haploid calls in the 7q11.23 region were made for 99.0% of SNPs in the WS group, and triploid calls for 98.8% of SNPs in those with Dup7. The G allele of SNP rs2528795 in the ELN gene was associated with aortic stenosis in WS participants (p?
机译:威廉姆斯综合征(WS),7q11.23半衰变综合征和7q11.23复制综合征(Dup7)表现出不同的症状。但是,在每个组中,这些表型的表达程度存在很大的个体差异。尽管存在从通用SNP芯片数据中识别拷贝数变异(CNV)区域的软件,但该软件并未在CNV地区提供非二倍体基因型。在这里,我们描述了一种在CNV地区识别单倍体和三倍体基因型的方法,然后,作为应用此信息解释临床变异性的概念证明,我们测试了基因型与表型的关联。用Illumina-HumanOmni5M SNP芯片对25个WS患者和13个Dup7患者的血样进行基因分型。使用PennCNV和内部代码对7q11.23基因座中的每个SNP进行基因型调用。我们测试了主动脉病变的存在与其余等位基因(WS中的单倍体)或重复等位基因(Dup7中的三倍体)的基因型之间的关联。在WS组中,单核苷酸多态性在7q11.23区域占99.0%,而在Dup7中,三倍体占98.8%。 WS参与者的ELN基因中SNP rs2528795的G等位基因与主动脉狭窄相关(p 0.0049),而Dup7中同一SNP的A等位基因与主动脉扩张相关。常用的SNP芯片信息可用于在CNV个体中进行单倍体和三倍体调用,然后将特定基因的变异性与综合征表型的变异性联系起来,如此处使用主动脉性动脉病所证明的。这项工作为CNV中类似的基因型-表型分析奠定了基础,在这种情况下,表型可能更复杂和/或遗传机制的信息较少。

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