ALBERT

Description: Autism spectrum disorders (ASD) are believed to have genetic and environmental origins, yet in only a modest fraction of individuals can specific causes be identified. To identify further genetic risk factors, here we assess the role of de novo mutations in ASD by sequencing the exomes of ASD cases and their parents (n = 175 trios). Fewer than half of the cases (46.3%) carry a missense or nonsense de novo variant, and the overall rate of mutation is only modestly higher than the expected rate. In contrast, the proteins encoded by genes that harboured de novo missense or nonsense mutations showed a higher degree of connectivity among themselves and to previous ASD genes as indexed by protein-protein interaction screens. The small increase in the rate of de novo events, when taken together with the protein interaction results, are consistent with an important but limited role for de novo point mutations in ASD, similar to that documented for de novo copy number variants. Genetic models incorporating these data indicate that most of the observed de novo events are unconnected to ASD; those that do confer risk are distributed across many genes and are incompletely penetrant (that is, not necessarily sufficient for disease). Our results support polygenic models in which spontaneous coding mutations in any of a large number of genes increases risk by 5- to 20-fold. Despite the challenge posed by such models, results from de novo events and a large parallel case-control study provide strong evidence in favour of CHD8 and KATNAL2 as genuine autism risk factors.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613847/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613847/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Neale, Benjamin M -- Kou, Yan -- Liu, Li -- Ma'ayan, Avi -- Samocha, Kaitlin E -- Sabo, Aniko -- Lin, Chiao-Feng -- Stevens, Christine -- Wang, Li-San -- Makarov, Vladimir -- Polak, Paz -- Yoon, Seungtai -- Maguire, Jared -- Crawford, Emily L -- Campbell, Nicholas G -- Geller, Evan T -- Valladares, Otto -- Schafer, Chad -- Liu, Han -- Zhao, Tuo -- Cai, Guiqing -- Lihm, Jayon -- Dannenfelser, Ruth -- Jabado, Omar -- Peralta, Zuleyma -- Nagaswamy, Uma -- Muzny, Donna -- Reid, Jeffrey G -- Newsham, Irene -- Wu, Yuanqing -- Lewis, Lora -- Han, Yi -- Voight, Benjamin F -- Lim, Elaine -- Rossin, Elizabeth -- Kirby, Andrew -- Flannick, Jason -- Fromer, Menachem -- Shakir, Khalid -- Fennell, Tim -- Garimella, Kiran -- Banks, Eric -- Poplin, Ryan -- Gabriel, Stacey -- DePristo, Mark -- Wimbish, Jack R -- Boone, Braden E -- Levy, Shawn E -- Betancur, Catalina -- Sunyaev, Shamil -- Boerwinkle, Eric -- Buxbaum, Joseph D -- Cook, Edwin H Jr -- Devlin, Bernie -- Gibbs, Richard A -- Roeder, Kathryn -- Schellenberg, Gerard D -- Sutcliffe, James S -- Daly, Mark J -- KL2 RR024977/RR/NCRR NIH HHS/ -- P30 HD015052/HD/NICHD NIH HHS/ -- P50 GM071558/GM/NIGMS NIH HHS/ -- P50 HD055751/HD/NICHD NIH HHS/ -- R01 MH057881/MH/NIMH NIH HHS/ -- R01 MH061009/MH/NIMH NIH HHS/ -- R01 MH089004/MH/NIMH NIH HHS/ -- R01 MH089025/MH/NIMH NIH HHS/ -- R01 MH089175/MH/NIMH NIH HHS/ -- R01 MH089208/MH/NIMH NIH HHS/ -- R01 MH089482/MH/NIMH NIH HHS/ -- R01MH084676/MH/NIMH NIH HHS/ -- R01MH089175/MH/NIMH NIH HHS/ -- R01MH089208/MH/NIMH NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- TL1 RR024978/RR/NCRR NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- UL1 RR024975/RR/NCRR NIH HHS/ -- England -- Nature. 2012 Apr 4;485(7397):242-5. doi: 10.1038/nature11011.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22495311" target="_blank"〉PubMed〈/a〉

Description: Congenital heart disease (CHD) patients have an increased prevalence of extracardiac congenital anomalies (CAs) and risk of neurodevelopmental disabilities (NDDs). Exome sequencing of 1213 CHD parent-offspring trios identified an excess of protein-damaging de novo mutations, especially in genes highly expressed in the developing heart and brain. These mutations accounted for 20% of patients with CHD, NDD, and CA but only 2% of patients with isolated CHD. Mutations altered genes involved in morphogenesis, chromatin modification, and transcriptional regulation, including multiple mutations in RBFOX2, a regulator of mRNA splicing. Genes mutated in other cohorts examined for NDD were enriched in CHD cases, particularly those with coexisting NDD. These findings reveal shared genetic contributions to CHD, NDD, and CA and provide opportunities for improved prognostic assessment and early therapeutic intervention in CHD patients.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Homsy, Jason -- Zaidi, Samir -- Shen, Yufeng -- Ware, James S -- Samocha, Kaitlin E -- Karczewski, Konrad J -- DePalma, Steven R -- McKean, David -- Wakimoto, Hiroko -- Gorham, Josh -- Jin, Sheng Chih -- Deanfield, John -- Giardini, Alessandro -- Porter, George A Jr -- Kim, Richard -- Bilguvar, Kaya -- Lopez-Giraldez, Francesc -- Tikhonova, Irina -- Mane, Shrikant -- Romano-Adesman, Angela -- Qi, Hongjian -- Vardarajan, Badri -- Ma, Lijiang -- Daly, Mark -- Roberts, Amy E -- Russell, Mark W -- Mital, Seema -- Newburger, Jane W -- Gaynor, J William -- Breitbart, Roger E -- Iossifov, Ivan -- Ronemus, Michael -- Sanders, Stephan J -- Kaltman, Jonathan R -- Seidman, Jonathan G -- Brueckner, Martina -- Gelb, Bruce D -- Goldmuntz, Elizabeth -- Lifton, Richard P -- Seidman, Christine E -- Chung, Wendy K -- T32 HL007208/HL/NHLBI NIH HHS/ -- Arthritis Research UK/United Kingdom -- British Heart Foundation/United Kingdom -- Department of Health/United Kingdom -- Howard Hughes Medical Institute/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2015 Dec 4;350(6265):1262-6. doi: 10.1126/science.aac9396.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, MA, USA. Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA. ; Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY, USA. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. NIHR Cardiovascular Biomedical Research Unit at Royal Brompton & Harefield NHS Foundation and Trust and Imperial College London, London, UK. National Heart & Lung Institute, Imperial College London, London, UK. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston MA, USA. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. Howard Hughes Medical Institute, Harvard University, Boston, MA, USA. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. ; Department of Cardiology, University College London and Great Ormond Street Hospital, London, UK. ; Department of Pediatrics, University of Rochester Medical Center, The School of Medicine and Dentistry, Rochester, NY, USA. ; Section of Cardiothoracic Surgery, University of Southern California Keck School of Medicine, Los Angeles, CA, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA. Yale Center for Genome Analysis, Yale University, New Haven, CT, USA. ; Yale Center for Genome Analysis, Yale University, New Haven, CT, USA. ; Steven and Alexandra Cohen Children's Medical Center of New York, New Hyde Park, NY, USA. ; Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY, USA. Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA. ; Department of Neurology, Columbia University Medical Center, New York, NY, USA. ; Department of Pediatrics, Columbia University Medical Center, New York, NY, USA. ; Department of Cardiology, Children's Hospital Boston, Boston, MA, USA. ; Division of Pediatric Cardiology, University of Michigan, Ann Arbor, MI, USA. ; Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada. ; Department of Cardiology, Boston Children's Hospital, Boston, MA, USA. ; Department of Pediatric Cardiac Surgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. ; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA. ; Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA. ; Heart Development and Structural Diseases Branch, Division of Cardiovascular Sciences, NHLBI/NIH, Bethesda, MD, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Mindich Child Health and Development Institute and Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA. Howard Hughes Medical Institute, Yale University, New Haven, CT, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. Howard Hughes Medical Institute, Harvard University, Boston, MA, USA. Cardiovascular Division, Brigham & Women's Hospital, Harvard University, Boston, MA, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26785492" target="_blank"〉PubMed〈/a〉

Description: Reactive oxygen species (ROS) such as hydrogen peroxide (H2O2) govern cellular homeostasis by inducing signaling. H2O2 modulates the activity of phosphatases and many other signaling molecules through oxidation of critical cysteine residues, which led to the notion that initiation of ROS signaling is broad and nonspecific, and thus fundamentally distinct...

Description: Autism spectrum disorders (ASDs) are a highly heterogeneous group of conditions—phenotypically and genetically—although the link between phenotypic variation and differences in genetic architecture is unclear. This study aimed to determine whether differences in cognitive impairment and symptom severity reflect variation in the degree to which ASD cases reflect de novo...

Description: Worldwide, hundreds of thousands of humans have had their genomes or exomes sequenced, and access to the resulting data sets can provide valuable information for variant interpretation and understanding gene function. Here, we present a lightweight, flexible browser framework to display large population datasets of genetic variation. We demonstrate its use for exome sequence data from 60 706 individuals in the Exome Aggregation Consortium (ExAC). The ExAC browser provides gene- and transcript-centric displays of variation, a critical view for clinical applications. Additionally, we provide a variant display, which includes population frequency and functional annotation data as well as short read support for the called variant. This browser is open-source, freely available at http://exac.broadinstitute.org , and has already been used extensively by clinical laboratories worldwide.