首页> 外文期刊>The American Journal of Human Genetics >Genome-wide association of copy-number variation reveals an association between short stature and the presence of low-frequency genomic deletions.
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Genome-wide association of copy-number variation reveals an association between short stature and the presence of low-frequency genomic deletions.

机译:拷贝数变异的全基因组关联揭示了矮身材和低频基因组缺失的存在之间的关联。

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摘要

Height is a model polygenic trait that is highly heritable. Genome-wide association studies have identified hundreds of single-nucleotide polymorphisms associated with stature, but the role of structural variation in determining height is largely unknown. We performed a genome-wide association study of copy-number variation and stature in a clinical cohort of children who had undergone comparative genomic hybridization (CGH) microarray analysis for clinical indications. We found that subjects with short stature had a greater global burden of copy-number variants (CNVs) and a greater average CNV length than did controls (p < 0.002). These associations were present for lower-frequency (<5%) and rare (<1%) deletions, but there were no significant associations seen for duplications. Known gene-deletion syndromes did not account for our findings, and we saw no significant associations with tall stature. We then extended our findings into a population-based cohort and found that, in agreement with the clinical cohort study, an increased burden of lower-frequency deletions was associated with shorter stature (p = 0.015). Our results suggest that in individuals undergoing copy-number analysis for clinical indications, short stature increases the odds that a low-frequency deletion will be found. Additionally, copy-number variation might contribute to genetic variation in stature in the general population.
机译:身高是高度遗传的典型多基因性状。全基因组关联研究已经确定了数百个与身材相关的单核苷酸多态性,但是在很大程度上尚不清楚结构变异在确定身高中的作用。我们在接受比较基因组杂交(CGH)基因芯片分析的临床适应症的儿童的临床队列中,对拷贝数变异和身高进行了全基因组关联研究。我们发现身材矮小的受试者比对照组具有更大的拷贝数变异(CNV)总体负担和平均CNV长度(p <0.002)。这些关联存在于频率较低的(<5%)和罕见的(<1%)删除中,但没有发现重复的显着关联。已知的基因缺失综合征不能解释我们的发现,并且我们没有发现与身材高大有明显关联。然后,我们将研究结果扩展到基于人群的队列研究中,发现与临床队列研究一致,低频删除的负担增加与身材矮小相关(p = 0.015)。我们的结果表明,在进行针对临床指征的拷贝数分析的个体中,身材矮小会增加发现低频缺失的几率。此外,拷贝数变异可能会导致普通人群的身材遗传变异。

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