Division of Genetics and Genomic Medicine, Edward Mallinckrodt Department of Pediatrics, Washington University School of Medicine and St. Louis Children's Hospital, St. Louis, MO, 63110, USA.
Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Eur J Hum Genet. 2024 Sep;32(9):1095-1105. doi: 10.1038/s41431-024-01667-y. Epub 2024 Jul 7.
Using a new analytic method ("unique non-overlapping region" (UNOR) analysis), we characterized the genotypes and phenotypes of a large cohort of individuals diagnosed with chromosome 9p deletion syndrome (9PMS) and defined critical genomic regions. We extracted phenotypic information from 48 individuals with 9PMS from medical records and used a guided interview with caregivers to clarify ambiguities. Using high-resolution whole-genome sequencing for breakpoint definition, we aligned deletions and drew virtual breakpoints to obtain UNORs associated with phenotypic characteristics. We next extracted genotype and phenotype data for 57 individuals identified from a systematic review of the 9PMS literature and analyzed these as above. Common phenotypic features included developmental delay/intellectual disability, dysmorphic features, hypotonia, genital defects in XY individuals, psychiatric diagnoses, chronic constipation, atopic disease, vision problems, autism spectrum disorder, gastroesophageal reflux disease, trigonocephaly, congenital heart disease, and neonatal hypoglycemia. Our approach confirmed previous literature reports of an association of FREM1 with trigonocephaly and suggested a possible modifier element for this phenotype. In conclusion, the UNOR approach delineated phenotypic characteristics for 9PMS and confirmed the critical role of FREM1 and a possible long-distance regulatory element in pathogenesis of trigonocephaly that will need to be replicated in future studies.
采用一种新的分析方法(“独特非重叠区域”(UNOR)分析),我们对一大群被诊断为 9p 染色体缺失综合征(9PMS)的个体的基因型和表型进行了特征描述,并确定了关键的基因组区域。我们从病历中提取了 48 名 9PMS 患者的表型信息,并使用 caregiver指导访谈来澄清模糊之处。使用高分辨率全基因组测序进行断点定义,我们对齐了缺失并绘制了虚拟断点,以获得与表型特征相关的 UNOR。接下来,我们从 9PMS 文献的系统回顾中提取了 57 名已确定个体的基因型和表型数据,并按照上述方法进行了分析。常见的表型特征包括发育迟缓/智力残疾、发育异常、肌张力低下、XY 个体的生殖器缺陷、精神科诊断、慢性便秘、特应性疾病、视力问题、自闭症谱系障碍、胃食管反流病、三角头畸形、先天性心脏病和新生儿低血糖。我们的方法证实了 FREM1 与三角头畸形相关的先前文献报道,并提出了这种表型的可能修饰因子。总之,UNOR 方法描绘了 9PMS 的表型特征,并证实了 FREM1 的关键作用以及在三角头畸形发病机制中可能的长距离调节元件,这需要在未来的研究中进行复制。