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Genetic Evaluation of 114 Chinese Short Stature Children in the Next Generation Era: a Single Center Study

机译:单中心研究对114位下一代中国矮身儿童的遗传评价

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Background/Aims The genetics of human height is a frequently studied and complex issue. However, there is limited genetic research of short stature. To uncover the subgroup of patients to have higher yield and to propose a simplified diagnostic algorithm in the next generation era. Methods This study included 114 Chinese children with height SDS ≤ -2.5 and unknown etiology from 2014 to 2015. Target/whole exome sequencing (referred as NGS) and chromosomal microarray analysis (CMA) were performed on the enrolled patients sequentially to identify potential genetic etiologies. The samples solved by NGS and CMA were retrospectively studied to evaluate the clinical pathway of the patients following a standard diagnostic algorithm. Results In total, a potential genetic etiology was identified in 41 (36%) patients 38 by NGS (33.3%), two by CMA (1.8%), and an additional one by both (0.9%). There were 46 different variants in 29 genes and 2 pathogenic CNVs identified. The diagnostic yield was significantly higher in patients with facial dysmorphism or skeletal abnormalities than those without the corresponding phenotype (P=0.006 and P=0.009, respectively, Pearson’s χ2 test). Retrospectively study the cohort indicate 83.3% patients eventually would be evaluated by NGS/CMA. Conclusion This study confirms the utility of high-throughput molecular detection techniques for the etiological diagnosis of undiagnosed short stature and suggests that NGS could be used as a primary diagnostic strategy. Patients with facial dysmorphism and/or skeletal abnormalities are more likely to have a known genetic etiology. Moving NGS forward would simplified the diagnostic algorithm.
机译:背景/目的人类身高的遗传学是一个经常研究且复杂的问题。但是,身材矮小的遗传学研究有限。为了发现具有更高产量的患者亚组,并在下一代时代提出一种简化的诊断算法。方法2014年至2015年,该研究纳入114名身高SDS≤-2.5且病因未知的中国儿童。随后对入选患者进行了靶/全外显子组测序(称为NGS)和染色体微阵列分析(CMA),以确定潜在的遗传病因。根据标准诊断算法,回顾性研究了由NGS和CMA解决的样品,以评估患者的临床途径。结果总体上,NGS(33.3%),41名CMA(1.8%),41名(36%)38的患者,潜在的病因病因(0.9%)被确定。在29个基因中发现了46种不同的变异,并鉴定出2种病原性CNV。有面部畸形或骨骼异常的患者的诊断率显着高于没有相应表型的患者(Pearsonχ2检验分别为P = 0.006和P = 0.009)。回顾性研究队列表明,最终将有83.3%的患者接受NGS / CMA评估。结论这项研究证实了高通量分子检测技术在未确诊的矮小身材病因诊断中的实用性,并建议将NGS用作主要的诊断策略。面部畸形和/或骨骼异常的患者更可能具有已知的遗传病因。向前推进NGS将简化诊断算法。

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