Department of Pediatrics, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
Department of Pediatrics, Uniformed Services University of Health Sciences, Bethesda, Maryland, USA.
Genet Med. 2017 Dec;19(12):1367-1375. doi: 10.1038/gim.2017.57. Epub 2017 Jun 15.
PurposeImmunodeficiency screening has been added to many state-directed newborn screening programs. The current methodology is limited to screening for severe T-cell lymphopenia disorders. We evaluated the potential of genomic sequencing to augment current newborn screening for immunodeficiency, including identification of non-T cell disorders.MethodsWe analyzed whole-genome sequencing (WGS) and clinical data from a cohort of 1,349 newborn-parent trios by genotype-first and phenotype-first approaches. For the genotype-first approach, we analyzed predicted protein-impacting variants in 329 immunodeficiency-related genes in the WGS data. As a phenotype-first approach, electronic health records were used to identify children with clinical features suggestive of immunodeficiency. Genomes of these children and their parents were analyzed using a separate pipeline for identification of candidate pathogenic variants for rare Mendelian disorders.ResultsWGS provides adequate coverage for most known immunodeficiency-related genes. 13,476 distinct variants and 8,502 distinct predicted protein-impacting variants were identified in this cohort; five individuals carried potentially pathogenic variants requiring expert clinical correlation. One clinically asymptomatic individual was found genomically to have complement component 9 deficiency. Of the symptomatic children, one was molecularly identified as having an immunodeficiency condition and two were found to have other molecular diagnoses.ConclusionNeonatal genomic sequencing can potentially augment newborn screening for immunodeficiency.
目的
免疫缺陷筛查已被添加到许多州指导的新生儿筛查计划中。目前的方法仅限于筛查严重的 T 细胞淋巴细胞减少症疾病。我们评估了基因组测序在增强当前免疫缺陷新生儿筛查中的潜力,包括识别非 T 细胞疾病。
方法
我们通过基因型优先和表型优先的方法,分析了 1349 例新生儿-父母三对的全基因组测序(WGS)和临床数据。对于基因型优先方法,我们分析了 WGS 数据中 329 个免疫缺陷相关基因中的预测蛋白影响变异。作为表型优先方法,使用电子健康记录来识别具有免疫缺陷临床特征的儿童。使用单独的管道分析这些儿童及其父母的基因组,以识别罕见孟德尔疾病的候选致病性变异。
结果
WGS 为大多数已知的免疫缺陷相关基因提供了足够的覆盖。在该队列中鉴定出 13476 个不同的变异和 8502 个不同的预测蛋白影响变异;五个人携带需要专家临床相关性的潜在致病性变异。一个临床无症状的个体被发现基因组上存在补体成分 9 缺乏。在有症状的儿童中,有一个被分子鉴定为免疫缺陷疾病,有两个被发现有其他分子诊断。
结论
新生儿基因组测序有可能增强新生儿免疫缺陷筛查。