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基因组辅助诊断严重发育障碍

Genomically Aided Diagnosis of Severe Developmental Disorders.

机构信息

MRC Human Genetics Unit, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom; email:

Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh EH8 9XD, United Kingdom.

出版信息

Annu Rev Genomics Hum Genet. 2020 Aug 31;21:327-349. doi: 10.1146/annurev-genom-120919-082329. Epub 2020 May 18.

Abstract

Our ability to make accurate and specific genetic diagnoses in individuals with severe developmental disorders has been transformed by data derived from genomic sequencing technologies. These data reveal both the patterns and rates of different mutational mechanisms and identify regions of the human genome with fewer mutations than would be expected. In outbred populations, the most common identifiable cause of severe developmental disorders is de novo mutation affecting the coding region in one of approximately 500 different genes, almost universally showing constraint. Simply combining the location of a de novo genomic event with its predicted consequence on the gene product gives significant diagnostic power. Our knowledge of the diversity of phenotypic consequences associated with comparable diagnostic genotypes at each locus is improving. Computationally useful phenotype data will improve diagnostic interpretation of ultrarare genetic variants and, in the long run, indicate which specific embryonic processes have been perturbed.

摘要

通过基因组测序技术获得的数据,改变了我们对患有严重发育障碍的个体进行准确和具体的基因诊断的能力。这些数据不仅揭示了不同突变机制的模式和速率,还鉴定了人类基因组中突变少于预期的区域。在异质人群中,可识别的导致严重发育障碍的最常见原因是新生突变,该突变影响大约 500 个不同基因中的一个编码区,几乎普遍受到限制。将新生基因组事件的位置与其对基因产物的预测后果相结合,就能提供重要的诊断能力。我们对与每个基因座的可比诊断基因型相关的表型后果多样性的了解正在不断提高。在计算上有用的表型数据将提高对超罕见遗传变异的诊断解释,并从长远来看,表明哪些特定的胚胎过程受到了干扰。

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