Division of Medical Genetics, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah.
Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah.
Birth Defects Res. 2019 Dec 1;111(20):1655-1664. doi: 10.1002/bdr2.1567. Epub 2019 Aug 5.
Gastroschisis remains an etiologic dilemma. We posit that an underlying genetic susceptibility either separately or coupled with a periconceptional environmental exposure stimulates an inflammatory response resulting in gastroschisis. To investigate the genetic link, we applied shared genomic segment (SGS) analysis, a novel approach to discover chromosomal segments that inherit in high-risk multigenerational pedigrees.
We studied pedigrees containing distantly related children with gastroschisis originating from a common ancestor. We used the Illumina OmniExpress genotyping array with >700,000 SNPs. Samples from 40 affected children in 13 pedigrees (≥3 affected children) were genotyped to generate the high-density SNP data necessary to perform SGS analysis. Assessment of significance in SGS was determined empirically using simulations based on precise pedigree structure and modeling linkage disequilibrium (LD) for SNPs in the general population to properly account for genetic architecture. The LD model was estimated from the 1000 Genome Project using the same set of SNPs. Genome-wide significance thresholds were determined for each pedigree.
We identified six pedigrees that contained genome-wide statistically significant SGS regions inherited from a common founder. These regions were different in each pedigree, all contained immune pathway genes.
The genome-wide significant regions support a genetic susceptibility for gastroschisis. The regions are compelling candidates for regionally focused genome sequencing, enabling the discovery of coding or noncoding (e.g., regulatory) risk variants, the latter of which are unlikely to be found using conventional exomic/gene-focused approaches. This technique provides a comprehensive and focused genomic interrogation that will help to advance our understanding of gastroschisis.
先天性腹裂仍然是一个病因学难题。我们假设,潜在的遗传易感性,无论是单独存在还是与围孕期环境暴露相结合,都会刺激炎症反应,导致先天性腹裂。为了研究遗传相关性,我们应用了共享基因组片段(SGS)分析,这是一种发现高风险多代家族中遗传染色体片段的新方法。
我们研究了来自共同祖先的、具有先天性腹裂的远缘相关儿童的家族。我们使用 Illumina OmniExpress 基因分型阵列,包含超过 700000 个 SNP。对 13 个家族(≥3 个患病儿童)中的 40 名受影响儿童的样本进行基因分型,以产生进行 SGS 分析所需的高密度 SNP 数据。使用基于精确家族结构的模拟和对一般人群中 SNP 的连锁不平衡(LD)建模的模拟来确定 SGS 中的显著性评估,以正确考虑遗传结构。使用相同的 SNP 集从 1000 基因组计划中估计 LD 模型。为每个家族确定了全基因组显著阈值。
我们确定了六个家族,这些家族中存在从共同祖先遗传的全基因组统计学上显著的 SGS 区域。这些区域在每个家族中都不同,都包含免疫途径基因。
全基因组显著区域支持先天性腹裂的遗传易感性。这些区域是区域聚焦基因组测序的有力候选区域,使发现编码或非编码(例如调节)风险变异成为可能,而使用常规外显子/基因聚焦方法不太可能发现后者。该技术提供了全面而集中的基因组检测,将有助于我们加深对先天性腹裂的理解。