@article {705, title = {Disruptive mutations in TANC2 define a neurodevelopmental syndrome associated with psychiatric disorders.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 Oct 15}, pages = {4679}, abstract = {

Postsynaptic density (PSD) proteins have been implicated in the pathophysiology of neurodevelopmental and psychiatric disorders. Here, we present detailed clinical and genetic data for 20 patients with likely gene-disrupting mutations in TANC2-whose protein product interacts with multiple PSD proteins. Pediatric patients with disruptive mutations present with autism, intellectual disability, and delayed language and motor development. In addition to a variable degree of epilepsy and facial dysmorphism, we observe a pattern of more complex psychiatric dysfunction or behavioral problems in adult probands or carrier parents. Although this observation requires replication to establish statistical significance, it also suggests that mutations in this gene are associated with a variety of neuropsychiatric disorders consistent with its postsynaptic function. We find that TANC2 is expressed broadly in the human developing brain, especially in excitatory neurons and glial cells, but shows a more restricted pattern in Drosophila glial cells where its disruption affects behavioral outcomes.

}, issn = {2041-1723}, doi = {10.1038/s41467-019-12435-8}, author = {Guo, Hui and Bettella, Elisa and Marcogliese, Paul C and Zhao, Rongjuan and Andrews, Jonathan C and Nowakowski, Tomasz J and Gillentine, Madelyn A and Hoekzema, Kendra and Wang, Tianyun and Wu, Huidan and Jangam, Sharayu and Liu, Cenying and Ni, Hailun and Willemsen, Marjolein H and van Bon, Bregje W and Rinne, Tuula and Stevens, Servi J C and Kleefstra, Tjitske and Brunner, Han G and Yntema, Helger G and Long, Min and Zhao, Wenjing and Hu, Zhengmao and Colson, Cindy and Richard, Nicolas and Schwartz, Charles E and Romano, Corrado and Castiglia, Lucia and Bottitta, Maria and Dhar, Shweta U and Erwin, Deanna J and Emrick, Lisa and Keren, Boris and Afenjar, Alexandra and Zhu, Baosheng and Bai, Bing and Stankiewicz, Pawel and Herman, Kristin and Mercimek-Andrews, Saadet and Juusola, Jane and Wilfert, Amy B and Abou Jamra, Rami and B{\"u}ttner, Benjamin and Mefford, Heather C and Muir, Alison M and Scheffer, Ingrid E and Regan, Brigid M and Malone, Stephen and Gecz, Jozef and Cobben, Jan and Weiss, Marjan M and Waisfisz, Quinten and Bijlsma, Emilia K and Hoffer, Mariette J V and Ruivenkamp, Claudia A L and Sartori, Stefano and Xia, Fan and Rosenfeld, Jill A and Bernier, Raphael A and Wangler, Michael F and Yamamoto, Shinya and Xia, Kun and Stegmann, Alexander P A and Bellen, Hugo J and Murgia, Alessandra and Eichler, Evan E} } @article {659, title = {Genome sequencing identifies multiple deleterious variants in autism patients with more severe phenotypes.}, journal = {Genet Med}, volume = {21}, year = {2019}, month = {2019 07}, pages = {1611-1620}, abstract = {

PURPOSE: To maximize the discovery of potentially pathogenic variants to better understand the diagnostic utility of genome sequencing (GS) and to assess how the presence of multiple risk events might affect the phenotypic severity in autism spectrum disorders (ASD).

METHODS: GS was applied to 180 simplex and multiplex ASD families (578 individuals, 213 patients) with exome sequencing and array comparative genomic hybridization further applied to a subset for validation and cross-platform comparisons.

RESULTS: We found that 40.8\% of patients carried variants with evidence of disease risk, including a de novo frameshift variant in NR4A2 and two de novo missense variants in SYNCRIP, while 21.1\% carried clinically relevant pathogenic or likely pathogenic variants. Patients with more than one risk variant (9.9\%) were more severely affected with respect to cognitive ability compared with patients with a single or no-risk variant. We observed no instance among the 27 multiplex families where a pathogenic or likely pathogenic variant was transmitted to all affected members in the family.

CONCLUSION: The study demonstrates the diagnostic utility of GS, especially for multiple risk variants that contribute to the phenotypic severity, shows the genetic heterogeneity in multiplex families, and provides evidence for new genes for follow up.

}, issn = {1530-0366}, doi = {10.1038/s41436-018-0380-2}, author = {Guo, Hui and Duyzend, Michael H and Coe, Bradley P and Baker, Carl and Hoekzema, Kendra and Gerdts, Jennifer and Turner, Tychele N and Zody, Michael C and Beighley, Jennifer S and Murali, Shwetha C and Nelson, Bradley J and Bamshad, Michael J and Nickerson, Deborah A and Bernier, Raphael A and Eichler, Evan E} } @article {411, title = {denovo-db: a compendium of human de novo variants.}, journal = {Nucleic Acids Res}, volume = {45}, year = {2017}, month = {2017 01 04}, pages = {D804-D811}, abstract = {

Whole-exome and whole-genome sequencing have facilitated the large-scale discovery of de novo variants in human disease. To date, most de novo discovery through next-generation sequencing focused on congenital heart disease and neurodevelopmental disorders (NDDs). Currently, de novo variants are one of the most significant risk factors for NDDs with a substantial overlap of genes involved in more than one NDD. To facilitate better usage of published data, provide standardization of annotation, and improve accessibility, we created denovo-db (http://denovo-db.gs.washington.edu), a database for human de novo variants. As of July 2016, denovo-db contained 40 different studies and 32,991 de novo variants from 23,098 trios. Database features include basic variant information (chromosome location, change, type); detailed annotation at the transcript and protein levels; severity scores; frequency; validation status; and, most importantly, the phenotype of the individual with the variant. We included a feature on our browsable website to download any query result, including a downloadable file of the full database with additional variant details. denovo-db provides necessary information for researchers to compare their data to other individuals with the same phenotype and also to controls allowing for a better understanding of the biology of de novo variants and their contribution to disease.

}, keywords = {Computational Biology, Databases, Nucleic Acid, Genetic Association Studies, Genetic Variation, Germ-Line Mutation, Humans, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, Web Browser}, issn = {1362-4962}, doi = {10.1093/nar/gkw865}, author = {Turner, Tychele N and Yi, Qian and Krumm, Niklas and Huddleston, John and Hoekzema, Kendra and F Stessman, Holly A and Doebley, Anna-Lisa and Bernier, Raphael A and Nickerson, Deborah A and Eichler, Evan E} }