| Literature DB >> 31471994 |
Weisheng Chen1,2,3,4, Jiachen Lin1,2,3, Lianlei Wang1,2,3, Xiaoxin Li3,5, Sen Zhao1,3, Jiaqi Liu1,3,6, Zeynep C Akdemir4, Yanxue Zhao1,3, Renqian Du4, Yongyu Ye3,7, Xiaofei Song4, Yuanqiang Zhang1,2,3, Zihui Yan1,2,3, Xinzhuang Yang3,5, Mao Lin1,2,3, Jianxiong Shen1,3, Shengru Wang1, Na Gao1, Ying Yang1, Ying Liu1, Wenli Li1, Jia Liu1, Na Zhang1, Xu Yang1, Yuan Xu1, Jianguo Zhang1,3, Mauricio R Delgado8,9, Jennifer E Posey4, Guixing Qiu1,3,10, Jonathan J Rios11,12, Pengfei Liu4,13, Carol A Wise11,12, Feng Zhang14, Zhihong Wu3,5,10, James R Lupski4,15,16,17, Nan Wu1,3,4,10.
Abstract
Congenital scoliosis (CS) is a birth defect with variable clinical and anatomical manifestations due to spinal malformation. The genetic etiology underlying about 10% of CS cases in the Chinese population is compound inheritance by which the gene dosage is reduced below that of haploinsufficiency. In this genetic model, the trait manifests as a result of the combined effect of a rare variant and common pathogenic variant allele at a locus. From exome sequencing (ES) data of 523 patients in Asia and two patients in Texas, we identified six TBX6 gene-disruptive variants from 11 unrelated CS patients via ES and in vitro functional testing. The in trans mild hypomorphic allele was identified in 10 of the 11 subjects; as anticipated these 10 shared a similar spinal deformity of hemivertebrae. The remaining case has a homozygous variant in TBX6 (c.418C>T) and presents a more severe spinal deformity phenotype. We found decreased transcriptional activity and abnormal cellular localization as the molecular mechanisms for TBX6 missense loss-of-function alleles. Expanding the mutational spectrum of TBX6 pathogenic alleles enabled an increased molecular diagnostic detection rate, provided further evidence for the gene dosage-dependent genetic model underlying CS, and refined clinical classification.Entities:
Keywords: TBX6 gene; compound inheritance model; congenital scoliosis (CS); gene dosage; genotype-phenotype correlation
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Year: 2019 PMID: 31471994 PMCID: PMC7061259 DOI: 10.1002/humu.23907
Source DB: PubMed Journal: Hum Mutat ISSN: 1059-7794 Impact factor: 4.878