@article {707, title = {Phenotypic expansion of POGZ-related intellectual disability syndrome (White-Sutton syndrome).}, journal = {Am J Med Genet A}, volume = {182}, year = {2020}, month = {2020 01}, pages = {38-52}, abstract = {

White-Sutton syndrome (WHSUS) is a recently-identified genetic disorder resulting from de novo heterozygous pathogenic variants in POGZ. Thus far, over 50 individuals have been reported worldwide, however phenotypic characterization and data regarding the natural history are still incomplete. Here we report the clinical features of 22 individuals with 21 unique loss of function POGZ variants. We observed a broad spectrum of intellectual disability and/or developmental delay with or without autism, and speech delay in all individuals. Other common problems included ocular abnormalities, hearing loss and gait abnormalities. A validated sleep disordered breathing questionnaire identified symptoms of obstructive sleep apnea in 4/12 (33\%) individuals. A higher-than-expected proportion of cases also had gastrointestinal phenotypes, both functional and anatomical, as well as genitourinary anomalies. In line with previous publications, we observed an increased body mass index (BMI) z-score compared to the general population (mean 0.59, median 0.9; p 0.0253). Common facial features included microcephaly, broad forehead, midface hypoplasia, triangular mouth, broad nasal root and flat nasal bridge. Analysis of the Baylor Genetics clinical laboratory database revealed that POGZ variants were implicated in approximately 0.14\% of cases who underwent clinical exome sequencing for neurological indications with or without involvement of other body systems. This study describes a greater allelic series and expands the phenotypic spectrum of this new syndromic form of intellectual disability and autism.

}, keywords = {Adolescent, Adult, Autistic Disorder, Child, Child, Preschool, Exome, Female, Heterozygote, Humans, Infant, Intellectual Disability, Language Development Disorders, Male, Microcephaly, Middle Aged, Mutation, Phenotype, Transposases, Whole Exome Sequencing, Young Adult}, issn = {1552-4833}, doi = {10.1002/ajmg.a.61380}, author = {Assia Batzir, Nurit and Posey, Jennifer E and Song, Xiaofei and Akdemir, Zeynep Coban and Rosenfeld, Jill A and Brown, Chester W and Chen, Emily and Holtrop, Shannon G and Mizerik, Elizabeth and Nieto Moreno, Margarita and Payne, Katelyn and Raas-Rothschild, Annick and Scott, Richard and Vernon, Hilary J and Zadeh, Neda and Lupski, James R and Sutton, V Reid} } @article {517, title = {Perturbations of BMP/TGF-β and VEGF/VEGFR signalling pathways in non-syndromic sporadic brain arteriovenous malformations (BAVM).}, journal = {J Med Genet}, volume = {55}, year = {2018}, month = {2018 Oct}, pages = {675-684}, abstract = {

BACKGROUND: Brain arteriovenous malformations (BAVM) represent a congenital anomaly of the cerebral vessels with a prevalence of 10-18/100 000. BAVM is the leading aetiology of intracranial haemorrhage in children. Our objective was to identify gene variants potentially contributing to disease and to better define the molecular aetiology underlying non-syndromic sporadic BAVM.

METHODS: We performed whole-exome trio sequencing of 100 unrelated families with a clinically uniform BAVM phenotype. Pathogenic variants were then studied in vivo using a transgenic zebrafish model.

RESULTS: We identified four pathogenic heterozygous variants in four patients, including one in the established BAVM-related gene, , and three damaging variants in novel candidate genes: , and , which we then functionally validated in zebrafish. In addition, eight likely pathogenic heterozygous variants (, and ) were identified in eight patients, and 16 patients carried one or more variants of uncertain significance. Potential oligogenic inheritance ( with , with and with ) was identified in three patients. Regulation of sma- and mad-related proteins (SMADs) (involved in bone morphogenic protein (BMP)/transforming growth factor beta (TGF-β) signalling) and vascular endothelial growth factor (VEGF)/vascular endotheliual growth factor recepter 2 (VEGFR2) binding and activity (affecting the VEGF signalling pathway) were the most significantly affected biological process involved in the pathogenesis of BAVM.

CONCLUSIONS: Our study highlights the specific role of BMP/TGF-β and VEGF/VEGFR signalling in the aetiology of BAVM and the efficiency of intensive parallel sequencing in the challenging context of genetically heterogeneous paradigm.

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2017-105224}, author = {Wang, Kun and Zhao, Sen and Liu, Bowen and Zhang, Qianqian and Li, Yaqi and Liu, Jiaqi and Shen, Yan and Ding, Xinghuan and Lin, Jiachen and Wu, Yong and Yan, Zihui and Chen, Jia and Li, Xiaoxin and Song, Xiaofei and Niu, Yuchen and Liu, Jian and Chen, Weisheng and Ming, Yue and Du, Renqian and Chen, Cong and Long, Bo and Zhang, Yisen and Tong, Xiangjun and Zhang, Shuyang and Posey, Jennifer E and Zhang, Bo and Wu, Zhihong and Wythe, Joshua D and Liu, Pengfei and Lupski, James R and Yang, Xinjian and Wu, Nan} } @article {612, title = {Phenotypic expansion illuminates multilocus pathogenic variation.}, journal = {Genet Med}, volume = {20}, year = {2018}, month = {2018 12}, pages = {1528-1537}, abstract = {

PURPOSE: Multilocus variation-pathogenic variants in two or more disease genes-can potentially explain the underlying genetic basis for apparent phenotypic expansion in cases for which the observed clinical features extend beyond those reported in association with a "known" disease gene.

METHODS: Analyses focused on 106 patients, 19 for whom apparent phenotypic expansion was previously attributed to variation at known disease genes. We performed a retrospective computational reanalysis of whole-exome sequencing data using stringent Variant Call File filtering criteria to determine whether molecular diagnoses involving additional disease loci might explain the observed expanded phenotypes.

RESULTS: Multilocus variation was identified in 31.6\% (6/19) of families with phenotypic expansion and 2.3\% (2/87) without phenotypic expansion. Intrafamilial clinical variability within two families was explained by multilocus variation identified in the more severely affected sibling.

CONCLUSION: Our findings underscore the role of multiple rare variants at different loci in the etiology of genetically and clinically heterogeneous cohorts. Intrafamilial phenotypic and genotypic variability allowed a dissection of genotype-phenotype relationships in two families. Our data emphasize the critical role of the clinician in diagnostic genomic analyses and demonstrate that apparent phenotypic expansion may represent blended phenotypes resulting from pathogenic variation at more than one locus.

}, issn = {1530-0366}, doi = {10.1038/gim.2018.33}, author = {Karaca, Ender and Posey, Jennifer E and Coban Akdemir, Zeynep and Pehlivan, Davut and Harel, Tamar and Jhangiani, Shalini N and Bayram, Yavuz and Song, Xiaofei and Bahrambeigi, Vahid and Yuregir, Ozge Ozalp and Bozdogan, Sevcan and Yesil, G{\"o}zde and Isikay, Sedat and Muzny, Donna and Gibbs, Richard A and Lupski, James R} } @article {617, title = {Predicting human genes susceptible to genomic instability associated with /-mediated rearrangements.}, journal = {Genome Res}, volume = {28}, year = {2018}, month = {2018 08}, pages = {1228-1242}, abstract = {

elements, the short interspersed element numbering more than 1 million copies per human genome, can mediate the formation of copy number variants (CNVs) between substrate pairs. These /-mediated rearrangements (AAMRs) can result in pathogenic variants that cause diseases. To investigate the impact of AAMR on gene variation and human health, we first characterized s that are involved in mediating CNVs (CNV-s) and observed that these s tend to be evolutionarily younger. We then computationally generated, with the assistance of a supercomputer, a test data set consisting of 78 million pairs and predicted \~{}18\% of them are potentially susceptible to AAMR. We further determined the relative risk of AAMR in 12,074 OMIM genes using the count of predicted CNV- pairs and experimentally validated the predictions with 89 samples selected by correlating predicted hotspots with a database of CNVs identified by clinical chromosomal microarrays (CMAs) on the genomes of approximately 54,000 subjects. We fine-mapped 47 duplications, 40 deletions, and two complex rearrangements and examined a total of 52 breakpoint junctions of simple CNVs. Overall, 94\% of the candidate breakpoints were at least partially mediated. We successfully predicted all (100\%) of pairs that mediated deletions ( = 21) and achieved an 87\% positive predictive value overall when including AAMR-generated deletions and duplications. We provided a tool, AluAluCNVpredictor, for assessing AAMR hotspots and their role in human disease. These results demonstrate the utility of our predictive model and provide insights into the genomic features and molecular mechanisms underlying AAMR.

}, keywords = {Alu Elements, DNA Copy Number Variations, Gene Duplication, Genome, Human, Genomic Instability, Humans, Sequence Deletion}, issn = {1549-5469}, doi = {10.1101/gr.229401.117}, author = {Song, Xiaofei and Beck, Christine R and Du, Renqian and Campbell, Ian M and Coban-Akdemir, Zeynep and Gu, Shen and Breman, Amy M and Stankiewicz, Pawel and Ira, Grzegorz and Shaw, Chad A and Lupski, James R} }