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Application of high‐resolution array platform for genome‐wide copy number variation analysis in patients with nonsyndromic cleft lip and palate

机译:高分辨率阵列平台在非腹部唇腭裂患者中基因组拷贝数变异分析的应用

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摘要

Although more than 14 loci may be involved in the development of nonsyndromic cleft lip and palate (NSCLP), the etiology has not been fully elucidated due to genetic and environmental risk factor interactions. Despite advances in identifying genes associated with the NSCLP development using traditional genetic mapping strategies of candidate genes, genome‐wide studies, and epidemiologic and linkage analysis, microarray techniques have become important complementary tools in the search for potential causative oral clefts genes in genetic studies. Microarray hybridization enables scanning of the whole genome and detecting copy number variants (CNVs). Although common benign CNVs are often smaller, with sizes smaller than 20 kb, here we reveal small exonic CNVs based on the importance of the encompassed genes in cleft lip and palate phenotype.
机译:虽然14多个基因座可能涉及非肌肉裂隙唇和腭(NSCLP)的发展,但由于遗传和环境风险因子相互作用,病因尚未完全阐明。尽管使用传统的遗传映射策略识别与NSCLP开发相关的基因,但使用传统的遗传映射策略,基因组研究和流行病学和连杆分析,甚至微阵列技术已经成为在遗传研究中寻找潜在致病口腔谱基因的重要互补工具。微阵列杂交能够扫描全基因组并检测拷贝数变体(CNV)。虽然常见的CNV通常较小,但尺寸小于20 kB,在这里,在这里,我们基于包围唇唇和腭表型的重要性的重要性,揭示了小的外消除CNV。

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