@article {962, title = {Bi-allelic Variations of SMO in Humans Cause a Broad Spectrum of Developmental Anomalies Due to Abnormal Hedgehog Signaling.}, journal = {Am J Hum Genet}, volume = {106}, year = {2020}, month = {2020 06 04}, pages = {779-792}, abstract = {

The evolutionarily conserved hedgehog (Hh) pathway is essential for organogenesis and plays critical roles in postnatal tissue maintenance and renewal. A unique feature of the vertebrate Hh pathway is that signal transduction requires the primary cilium (PC) where major pathway components are dynamically enriched. These factors include smoothened (SMO) and patched, which constitute the core reception system for sonic hedgehog (SHH) as well as GLI transcription factors, the key mediators of the pathway. Here, we report bi-allelic loss-of-function variations in SMO in seven individuals from five independent families; these variations cause a wide phenotypic spectrum of developmental anomalies affecting the brain (hypothalamic hamartoma and microcephaly), heart (atrioventricular septal defect), skeleton (postaxial polydactyly, narrow chest, and shortening of long bones), and enteric nervous system (aganglionosis). Cells derived from affected individuals showed normal ciliogenesis but severely altered Hh-signal transduction as a result of either altered PC trafficking or abnormal activation of the pathway downstream of SMO. In addition, Hh-independent GLI2 accumulation at the PC tip in cells from the affected individuals suggests a potential function of SMO in regulating basal ciliary trafficking of GLI2 when the pathway is off. Thus, loss of SMO function results in abnormal PC dynamics of key components of the Hh signaling pathway and leads to a large continuum of malformations in humans.

}, keywords = {Alleles, Base Sequence, Child, Child, Preschool, Cilia, Developmental Disabilities, Female, Hedgehog Proteins, Humans, Infant, Male, Models, Molecular, Neoplasms, Nerve Tissue Proteins, Nuclear Proteins, Pedigree, Signal Transduction, Smoothened Receptor, Zinc Finger Protein Gli2, Zinc Finger Protein Gli3}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2020.04.010}, author = {Le, Thuy-Linh and Sribudiani, Yunia and Dong, Xiaomin and Huber, Celine and Kois, Chelsea and Baujat, Genevi{\`e}ve and Gordon, Christopher T and Mayne, Valerie and Galmiche, Louise and Serre, Val{\'e}rie and Goudin, Nicolas and Zarhrate, Mohammed and Bole-Feysot, Christine and Masson, Cecile and Nitschk{\'e}, Patrick and Verheijen, Frans W and Pais, Lynn and Pelet, Anna and Sadedin, Simon and Pugh, John A and Shur, Natasha and White, Susan M and El Chehadeh, Salima and Christodoulou, John and Cormier-Daire, Val{\'e}rie and Hofstra, R M W and Lyonnet, Stanislas and Tan, Tiong Yang and Atti{\'e}-Bitach, Tania and Kerstjens-Frederikse, Wilhelmina S and Amiel, Jeanne and Thomas, Sophie} } @article {773, title = {Immunodeficiency, centromeric instability, and facial anomalies (ICF) syndrome with NK dysfunction and EBV-driven malignancy treated with stem cell transplantation.}, journal = {J Allergy Clin Immunol Pract}, volume = {8}, year = {2020}, month = {2020 03}, pages = {1103-1106.e3}, keywords = {Herpesvirus 4, Human, Humans, Immunologic Deficiency Syndromes, Mutation, Neoplasms, Primary Immunodeficiency Diseases, Stem Cell Transplantation}, issn = {2213-2201}, doi = {10.1016/j.jaip.2019.08.040}, author = {Burk, Caitlin M and Coffey, Kara E and Mace, Emily M and Bostwick, Bret L and Chinn, Ivan K and Coban-Akdemir, Zeynep H and Jhangiani, Shalini N and Lupski, James R and Ortiz, Damara and Barnum, Jessie L and Allen, Steven W and Robertson, Leanna-Marie and Orange, Jordan S and Chong, Hey J} } @article {535, title = {Localized structural frustration for evaluating the impact of sequence variants.}, journal = {Nucleic Acids Res}, volume = {44}, year = {2016}, month = {2016 12 01}, pages = {10062-10073}, abstract = {

Population-scale sequencing is increasingly uncovering large numbers of rare single-nucleotide variants (SNVs) in coding regions of the genome. The rarity of these variants makes it challenging to evaluate their deleteriousness with conventional phenotype-genotype associations. Protein structures provide a way of addressing this challenge. Previous efforts have focused on globally quantifying the impact of SNVs on protein stability. However, local perturbations may severely impact protein functionality without strongly disrupting global stability (e.g. in relation to catalysis or allostery). Here, we describe a workflow in which localized frustration, quantifying unfavorable local interactions, is employed as a metric to investigate such effects. Using this workflow on the Protein Databank, we find that frustration produces many immediately intuitive results: for instance, disease-related SNVs create stronger changes in localized frustration than non-disease related variants, and rare SNVs tend to disrupt local interactions to a larger extent than common variants. Less obviously, we observe that somatic SNVs associated with oncogenes and tumor suppressor genes (TSGs) induce very different changes in frustration. In particular, those associated with TSGs change the frustration more in the core than the surface (by introducing loss-of-function events), whereas those associated with oncogenes manifest the opposite pattern, creating gain-of-function events.

}, keywords = {Computational Biology, Databases, Protein, Evolution, Molecular, Genes, Tumor Suppressor, Genetic Variation, Humans, Neoplasms, Oncogenes, Polymorphism, Single Nucleotide, Proteins, Workflow}, issn = {1362-4962}, doi = {10.1093/nar/gkw927}, author = {Kumar, Sushant and Clarke, Declan and Gerstein, Mark} } @article {133, title = {DNA REPAIR. Mus81 and converging forks limit the mutagenicity of replication fork breakage.}, journal = {Science}, volume = {349}, year = {2015}, month = {2015 Aug 14}, pages = {742-7}, abstract = {

Most spontaneous DNA double-strand breaks (DSBs) result from replication-fork breakage. Break-induced replication (BIR), a genome rearrangement-prone repair mechanism that requires the Pol32/POLD3 subunit of eukaryotic DNA PolĪ“, was proposed to repair broken forks, but how genome destabilization is avoided was unknown. We show that broken fork repair initially uses error-prone Pol32-dependent synthesis, but that mutagenic synthesis is limited to within a few kilobases from the break by Mus81 endonuclease and a converging fork. Mus81 suppresses template switches between both homologous sequences and diverged human Alu repetitive elements, highlighting its importance for stability of highly repetitive genomes. We propose that lack of a timely converging fork or Mus81 may propel genome instability observed in cancer.

}, keywords = {Alu Elements, Base Sequence, DNA Breaks, Double-Stranded, DNA Repair, DNA Replication, DNA-Binding Proteins, DNA-Directed DNA Polymerase, Endonucleases, Genomic Instability, Humans, Molecular Sequence Data, Neoplasms, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins}, issn = {1095-9203}, doi = {10.1126/science.aaa8391}, author = {Mayle, Ryan and Campbell, Ian M and Beck, Christine R and Yu, Yang and Wilson, Marenda and Shaw, Chad A and Bjergbaek, Lotte and Lupski, James R and Ira, Grzegorz} } @article {330, title = {Next generation analytic tools for large scale genetic epidemiology studies of complex diseases.}, journal = {Genet Epidemiol}, volume = {36}, year = {2012}, month = {2012 Jan}, pages = {22-35}, abstract = {

Over the past several years, genome-wide association studies (GWAS) have succeeded in identifying hundreds of genetic markers associated with common diseases. However, most of these markers confer relatively small increments of risk and explain only a small proportion of familial clustering. To identify obstacles to future progress in genetic epidemiology research and provide recommendations to NIH for overcoming these barriers, the National Cancer Institute sponsored a workshop entitled "Next Generation Analytic Tools for Large-Scale Genetic Epidemiology Studies of Complex Diseases" on September 15-16, 2010. The goal of the workshop was to facilitate discussions on (1) statistical strategies and methods to efficiently identify genetic and environmental factors contributing to the risk of complex disease; and (2) how to develop, apply, and evaluate these strategies for the design, analysis, and interpretation of large-scale complex disease association studies in order to guide NIH in setting the future agenda in this area of research. The workshop was organized as a series of short presentations covering scientific (gene-gene and gene-environment interaction, complex phenotypes, and rare variants and next generation sequencing) and methodological (simulation modeling and computational resources and data management) topic areas. Specific needs to advance the field were identified during each session and are summarized.

}, keywords = {Data Mining, Gene-Environment Interaction, Genetic Variation, Genome-Wide Association Study, Humans, Molecular Epidemiology, National Institutes of Health (U.S.), Neoplasms, Phenotype, United States}, issn = {1098-2272}, doi = {10.1002/gepi.20652}, author = {Mechanic, Leah E and Chen, Huann-Sheng and Amos, Christopher I and Chatterjee, Nilanjan and Cox, Nancy J and Divi, Rao L and Fan, Ruzong and Harris, Emily L and Jacobs, Kevin and Kraft, Peter and Leal, Suzanne M and McAllister, Kimberly and Moore, Jason H and Paltoo, Dina N and Province, Michael A and Ramos, Erin M and Ritchie, Marylyn D and Roeder, Kathryn and Schaid, Daniel J and Stephens, Matthew and Thomas, Duncan C and Weinberg, Clarice R and Witte, John S and Zhang, Shunpu and Z{\"o}llner, Sebastian and Feuer, Eric J and Gillanders, Elizabeth M} }