@article {682, title = {TBX6-associated congenital scoliosis (TACS) as a clinically distinguishable subtype of congenital scoliosis: further evidence supporting the compound inheritance and TBX6 gene dosage model.}, journal = {Genet Med}, volume = {21}, year = {2019}, month = {2019 07}, pages = {1548-1558}, abstract = {

PURPOSE: To characterize clinically measurable endophenotypes, implicating the TBX6 compound inheritance model.

METHODS: Patients with congenital scoliosis (CS) from China(N = 345, cohort 1), Japan (N = 142, cohort 2), and the United States (N = 10, cohort 3) were studied. Clinically measurable endophenotypes were compared according to the TBX6 genotypes. A mouse model for Tbx6 compound inheritance (N = 52) was investigated by micro computed tomography (micro-CT). A clinical diagnostic algorithm (TACScore) was developed to assist in clinical recognition of TBX6-associated CS (TACS).

RESULTS: In cohort 1, TACS patients (N = 33) were significantly younger at onset than the remaining CS patients (P = 0.02), presented with one or more hemivertebrae/butterfly vertebrae (P = 4.9 {\texttimes} 10), and exhibited vertebral malformations involving the lower part of the spine (T8-S5, P = 4.4 {\texttimes} 10); observations were confirmed in two replication cohorts. Simple rib anomalies were prevalent in TACS patients (P = 3.1 {\texttimes} 10), while intraspinal anomalies were uncommon (P = 7.0 {\texttimes} 10). A clinically usable TACScore was developed with an area under the curve (AUC) of 0.9 (P = 1.6 {\texttimes} 10). A Tbx6 mouse model supported that a~gene dosage effect underlies the TACS phenotype.

CONCLUSION: TACS is a clinically distinguishable entity with consistent clinically measurable endophenotypes. The type and distribution of vertebral column abnormalities in TBX6/Tbx6 compound inheritance implicate subtle perturbations in gene dosage as a cause of spine developmental birth defects responsible for about 10\% of CS.

}, issn = {1530-0366}, doi = {10.1038/s41436-018-0377-x}, author = {Liu, Jiaqi and Wu, Nan and Yang, Nan and Takeda, Kazuki and Chen, Weisheng and Li, Weiyu and Du, Renqian and Liu, Sen and Zhou, Yangzhong and Zhang, Ling and Liu, Zhenlei and Zuo, Yuzhi and Zhao, Sen and Blank, Robert and Pehlivan, Davut and Dong, Shuangshuang and Zhang, Jianguo and Shen, Jianxiong and Si, Nuo and Wang, Yipeng and Liu, Gang and Li, Shugang and Zhao, Yanxue and Zhao, Hong and Chen, Yixin and Zhao, Yu and Song, Xiaofei and Hu, Jianhua and Lin, Mao and Tian, Ye and Yuan, Bo and Yu, Keyi and Niu, Yuchen and Yu, Bin and Li, Xiaoxin and Chen, Jia and Yan, Zihui and Zhu, Qiankun and Meng, Xiaolu and Chen, Xiaoli and Su, Jianzhong and Zhao, Xiuli and Wang, Xiaoyue and Ming, Yue and Li, Xiao and Raggio, Cathleen L and Zhang, Baozhong and Weng, Xisheng and Zhang, Shuyang and Zhang, Xue and Watanabe, Kota and Matsumoto, Morio and Jin, Li and Shen, Yiping and Sobreira, Nara L and Posey, Jennifer E and Giampietro, Philip F and Valle, David and Liu, Pengfei and Wu, Zhihong and Ikegawa, Shiro and Lupski, James R and Zhang, Feng and Qiu, Guixing} } @article {526, title = {The coexistence of copy number variations (CNVs) and single nucleotide polymorphisms (SNPs) at a locus can result in distorted calculations of the significance in associating SNPs to disease.}, journal = {Hum Genet}, volume = {137}, year = {2018}, month = {2018 Jul}, pages = {553-567}, abstract = {

With the recent advance in genome-wide association studies (GWAS), disease-associated single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) have been extensively reported. Accordingly, the issue of incorrect identification of recombination events that can induce the distortion of multi-allelic or hemizygous variants has received more attention. However, the potential distorted calculation bias or significance of a detected association in a GWAS due to the coexistence of CNVs and SNPs in the same genomic region may remain under-recognized. Here we performed the association study within a congenital scoliosis (CS) cohort whose genetic etiology was recently elucidated as a compound inheritance model, including mostly one rare variant deletion CNV null allele and one common variant non-coding hypomorphic haplotype of the TBX6 gene. We demonstrated that the existence of a deletion in TBX6 led to an overestimation of the contribution of the SNPs on the hypomorphic allele. Furthermore, we generalized a model to explain the calculation bias, or distorted significance calculation for an association study, that can be {\textquoteright}induced{\textquoteright} by CNVs at a locus. Meanwhile, overlapping between the disease-associated SNPs from published GWAS and common CNVs (overlap 10\%) and pathogenic/likely pathogenic CNVs (overlap 99.69\%) was significantly higher than the random distribution (p < 1 {\texttimes} 10 and p = 0.034, respectively), indicating that such co-existence of CNV and SNV alleles might generally influence data interpretation and potential outcomes of a GWAS. We also verified and assessed the influence of colocalizing CNVs to the detection sensitivity of disease-associated SNP variant alleles in another adolescent idiopathic scoliosis (AIS) genome-wide association study. We proposed that detecting co-existent CNVs when evaluating the association signals between SNPs and disease traits could improve genetic model analyses and better integrate GWAS with robust Mendelian principles.

}, keywords = {Adolescent, Congenital Abnormalities, DNA Copy Number Variations, Female, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Genomics, Genotype, Haplotypes, Humans, Phenotype, Polymorphism, Single Nucleotide, Scoliosis}, issn = {1432-1203}, doi = {10.1007/s00439-018-1910-3}, author = {Liu, Jiaqi and Zhou, Yangzhong and Liu, Sen and Song, Xiaofei and Yang, Xin-Zhuang and Fan, Yanhui and Chen, Weisheng and Akdemir, Zeynep Coban and Yan, Zihui and Zuo, Yuzhi and Du, Renqian and Liu, Zhenlei and Yuan, Bo and Zhao, Sen and Liu, Gang and Chen, Yixin and Zhao, Yanxue and Lin, Mao and Zhu, Qiankun and Niu, Yuchen and Liu, Pengfei and Ikegawa, Shiro and Song, You-Qiang and Posey, Jennifer E and Qiu, Guixing and Zhang, Feng and Wu, Zhihong and Lupski, James R and Wu, Nan} }