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基因组学方法评估人类神经管缺陷风险。

Genomic approaches to the assessment of human spina bifida risk.

机构信息

Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York.

Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York.

出版信息

Birth Defects Res. 2017 Jan 30;109(2):120-128. doi: 10.1002/bdra.23592.

Abstract

Structural birth defects are a leading cause of mortality and morbidity in children world-wide, affecting as much as 6% of all live births. Among these conditions, neural tube defects (NTDs), including spina bifida and anencephaly, arise from a combination of complex gene and environment interactions that are as yet poorly understood within human populations. Rapid advances in massively parallel DNA sequencing and bioinformatics allow for analyses of the entire genome beyond the 2% of the genomic sequence covering protein coding regions. Efforts to collect and analyze these large datasets hold promise for illuminating gene network variations and eventually epigenetic events that increase individual risk for failure to close the neural tube. In this review, we discuss current challenges for DNA genome sequence analysis of NTD affected populations, and compare experience in the field with other complex genetic disorders for which large datasets are accumulating. The ultimate goal of this research is to find strategies for optimizing conditions that promote healthy birth outcomes for individual couples. Birth Defects Research 109:120-128, 2017. © 2016 Wiley Periodicals, Inc.

摘要

结构出生缺陷是全球儿童死亡和发病的主要原因,影响了多达 6%的所有活产儿。在这些病症中,神经管缺陷(NTDs),包括脊柱裂和无脑畸形,是由复杂的基因和环境相互作用共同导致的,而这些在人类群体中还尚未被充分了解。大规模平行 DNA 测序和生物信息学的快速发展使得我们能够分析整个基因组,而不仅仅是覆盖蛋白质编码区域的 2%的基因组序列。收集和分析这些大型数据集的努力有望阐明增加神经管闭合失败个体风险的基因网络变异和最终的表观遗传事件。在这篇综述中,我们讨论了对受 NTD 影响人群的 DNA 基因组序列分析的当前挑战,并将该领域的经验与其他正在积累大型数据集的复杂遗传疾病进行了比较。这项研究的最终目标是找到优化条件的策略,以促进个体夫妇的健康生育结果。出生缺陷研究 109:120-128, 2017. © 2016 Wiley Periodicals, Inc.

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