Unraveling the genetic architecture of congenital vertebral malformation with reference to the developing spine.
Sen ZhaoHengqiang ZhaoLina ZhaoXi ChengZhifa ZhengMengfan WuWen WenShengru WangZixiang ZhouHaibo XieDengfeng RuanQing LiXinquan LiuChengzhu OuGuozhuang LiZhengye ZhaoGuilin ChenYuchen NiuXiangjie YinYuhong HuXiaochen Zhangnull nullPengfei LiuGuixing QiuWanlu LiuChengtian ZhaoZhihong WuJianguo ZhangNan WuPublished in: Nature communications (2024)
Congenital vertebral malformation, affecting 0.13-0.50 per 1000 live births, has an immense locus heterogeneity and complex genetic architecture. In this study, we analyze exome/genome sequencing data from 873 probands with congenital vertebral malformation and 3794 control individuals. Clinical interpretation identifies Mendelian etiologies in 12.0% of the probands and reveals a muscle-related disease mechanism. Gene-based burden test of ultra-rare variants identifies risk genes with large effect sizes (ITPR2, TBX6, TPO, H6PD, and SEC24B). To further investigate the biological relevance of the genetic association signals, we perform single-nucleus RNAseq on human embryonic spines. The burden test signals are enriched in the notochord at early developmental stages and myoblast/myocytes at late stages, highlighting their critical roles in the developing spine. Our work provides insights into the developmental biology of the human spine and the pathogenesis of spine malformation.
Keyphrases
- genome wide
- copy number
- dna methylation
- endothelial cells
- bone mineral density
- single cell
- induced pluripotent stem cells
- pluripotent stem cells
- skeletal muscle
- risk factors
- high resolution
- gene expression
- body composition
- preterm birth
- gestational age
- deep learning
- genome wide association study
- genome wide analysis