519 results on '"Coon H"'
Search Results
2. Autism and the serotonin transporter: the long and short of it
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Devlin, B, Cook, EH, Coon, H, Dawson, G, Grigorenko, EL, McMahon, W, Minshew, N, Pauls, D, Smith, M, Spence, MA, Rodier, PM, Stodgell, C, and Schellenberg, GD
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Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Genetics ,Pediatric ,Neurosciences ,Intellectual and Developmental Disabilities (IDD) ,Autism ,Mental Health ,Brain Disorders ,Aetiology ,2.1 Biological and endogenous factors ,Mental health ,Adult ,Autistic Disorder ,Child ,Gene Frequency ,Genetic Predisposition to Disease ,Humans ,Linkage Disequilibrium ,Minisatellite Repeats ,Pedigree ,Phenotype ,Polymorphism ,Genetic ,Serotonin Plasma Membrane Transport Proteins ,autism ,serotonin transporter ,heterogeneity ,genetic association ,autistic disorder ,CPEA Genetics Network ,Autistic disorder ,Genetic association ,Heterogeneity ,Serotonin transporter ,protein ,unclassified drug ,allele ,article ,family ,gene locus ,genetic variability ,haplotype ,human ,major clinical study ,priority journal ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Clinical sciences ,Biological psychology ,Clinical and health psychology - Abstract
Autism is a neurodevelopmental disorder manifesting early in childhood. Some symptoms of autism are alleviated by treatment with selective serotonin reuptake inhibitors, which are known to interact with the serotonin transporter. Moreover, variation in the gene that encodes the transporter (SLC6A4), especially the HTTLPR locus, is known to modulate its expression. It is natural, therefore, to evaluate whether this variation plays a role in liability to autism. We investigated the impact of alleles at HTTLPR and three other loci in SLC6A4 by using a large, independent family-based sample (390 families, 1528 individuals) from the NIH Collaborative Programs of Excellence in Autism (CPEA) network. Allele transmissions to individuals diagnosed with autism were biased only for HTTLPR, both for the narrow diagnosis of autism (P=0.035) and for the broader diagnosis of autism spectrum (P=0.007). The short allele of HTTLPR was significantly overtransmitted. Investigation of haplotype transmissions suggested that, in our data, biased transmission was only due to HTTLPR. With respect to this locus, there are now seven of 12 studies reporting significant transmission bias of HTTLPR alleles, a noteworthy result in itself. However, the studies with significant findings are almost equally divided between overtransmission of short and overtransmission of long alleles. We place our results within this extremely heterogeneous field of studies. Determining the factors influencing the relationship between autism phenotypes and HTTLPR variation, as well as other loci in SLC6A4, could be an important advance in our understanding of this complex disorder.
- Published
- 2005
3. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors
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Mullins, N, Kang, J, Campos, A, Coleman, JR, Edwards, AC, Galfalvy, H, Levey, DF, Lori, A, Shabalin, A, Starnawska, A, Su, M-H, Watson, HJ, Adams, M, Awasthi, S, Ganda, M, Hafferty, JD, Hishimoto, A, Kim, M, Okazaki, S, Otsuka, I, Ripke, S, Ware, EB, Bergen, AW, Berrettini, WH, Bohus, M, Brandt, H, Chang, X, Chen, WJ, Chen, H-C, Crawford, S, Crow, S, DiBlasi, E, Duriez, P, Fernandez-Aranda, F, Fichter, MM, Gallinger, S, Glatt, SJ, Gorwood, P, Guo, Y, Hakonarson, H, Halmi, KA, Hwu, H-G, Jain, S, Jamain, S, Jimenez-Murcia, S, Johnson, C, Kaplan, AS, Kaye, WH, Keel, PK, Kennedy, JL, Klump, KL, Li, D, Liao, S-C, Lieb, K, Lilenfeld, L, Liu, C-M, Magistretti, PJ, Marshall, CR, Mitchell, JE, Monson, ET, Myers, RM, Pinto, D, Powers, A, Ramoz, N, Roepke, S, Rozanov, V, Scherer, SW, Schmahl, C, Sokolowski, M, Strober, M, Thornton, LM, Treasure, J, Tsuang, MT, Witt, SH, Woodside, DB, Yilmaz, Z, Zillich, L, Adolfsson, R, Agartz, I, Air, TM, Alda, M, Alfredsson, L, Andreassen, OA, Anjorin, A, Appadurai, V, Artigas, MS, Van der Auwera, S, Azevedo, MH, Bass, N, Bau, CHD, Baune, BT, Bellivier, F, Berger, K, Biernacka, JM, Bigdeli, TB, Binder, EB, Boehnke, M, Boks, MP, Bosch, R, Braff, DL, Bryant, R, Budde, M, Byrne, EM, Cahn, W, Casas, M, Castelao, E, Cervilla, JA, Chaumette, B, Cichon, S, Corvin, A, Craddock, N, Craig, D, Degenhardt, F, Djurovic, S, Edenberg, HJ, Fanous, AH, Foo, JC, Forstner, AJ, Frye, M, Fullerton, JM, Gatt, JM, Gejman, P, Giegling, I, Grabe, HJ, Green, MJ, Grevet, EH, Grigoroiu-Serbanescu, M, Gutierrez, B, Guzman-Parra, J, Hamilton, SP, Hamshere, ML, Hartmann, A, Hauser, J, Heilmann-Heimbach, S, Hoffmann, P, Ising, M, Jones, I, Jones, LA, Jonsson, L, Kahn, RS, Kelsoe, JR, Kendler, KS, Kloiber, S, Koenen, KC, Kogevinas, M, Konte, B, Krebs, M-O, Lander, M, Lawrence, J, Leboyer, M, Lee, PH, Levinson, DF, Liao, C, Lissowska, J, Lucae, S, Mayoral, F, McElroy, SL, McGrath, P, McGuffin, P, McQuillin, A, Medland, SE, Mehta, D, Melle, I, Milaneschi, Y, Mitchell, PB, Molina, E, Morken, G, Mortensen, PB, Mueller-Myhsok, B, Nievergelt, C, Nimgaonkar, V, Noethen, MM, O'Donovan, MC, Ophoff, RA, Owen, MJ, Pato, C, Pato, MT, Penninx, BWJH, Pimm, J, Pistis, G, Potash, JB, Power, RA, Preisig, M, Quested, D, Ramos-Quiroga, JA, Reif, A, Ribases, M, Richarte, V, Rietschel, M, Rivera, M, Roberts, A, Roberts, G, Rouleau, GA, Rovaris, DL, Rujescu, D, Sanchez-Mora, C, Sanders, AR, Schofield, PR, Schulze, TG, Scott, LJ, Serretti, A, Shi, J, Shyn, S, Sirignano, L, Sklar, P, Smeland, OB, Smoller, JW, Sonuga-Barke, EJS, Spalletta, G, Strauss, JS, Swiatkowska, B, Trzaskowski, M, Turecki, G, Vilar-Ribo, L, Vincent, JB, Voelzke, H, Walters, JTR, Weickert, CS, Weickert, TW, Weissman, MM, Williams, LM, Wray, NR, Zai, CC, Ashley-Koch, AE, Beckham, JC, Hauser, ER, Hauser, MA, Kimbrel, NA, Lindquist, JH, McMahon, B, Oslin, DW, Qin, X, Agerbo, E, Borglum, AD, Breen, G, Erlangsen, A, Esko, T, Gelernter, J, Hougaard, DM, Kessler, RC, Kranzler, HR, Li, QS, Martin, NG, McIntosh, AM, Mors, O, Nordentoft, M, Olsen, CM, Porteous, D, Ursano, RJ, Wasserman, D, Werge, T, Whiteman, DC, Bulik, CM, Coon, H, Demontis, D, Docherty, AR, Kuo, P-H, Lewis, CM, Mann, JJ, Renteria, ME, Smith, DJ, Stahl, EA, Stein, MB, Streit, F, Willour, V, Ruderfer, DM, Mullins, N, Kang, J, Campos, A, Coleman, JR, Edwards, AC, Galfalvy, H, Levey, DF, Lori, A, Shabalin, A, Starnawska, A, Su, M-H, Watson, HJ, Adams, M, Awasthi, S, Ganda, M, Hafferty, JD, Hishimoto, A, Kim, M, Okazaki, S, Otsuka, I, Ripke, S, Ware, EB, Bergen, AW, Berrettini, WH, Bohus, M, Brandt, H, Chang, X, Chen, WJ, Chen, H-C, Crawford, S, Crow, S, DiBlasi, E, Duriez, P, Fernandez-Aranda, F, Fichter, MM, Gallinger, S, Glatt, SJ, Gorwood, P, Guo, Y, Hakonarson, H, Halmi, KA, Hwu, H-G, Jain, S, Jamain, S, Jimenez-Murcia, S, Johnson, C, Kaplan, AS, Kaye, WH, Keel, PK, Kennedy, JL, Klump, KL, Li, D, Liao, S-C, Lieb, K, Lilenfeld, L, Liu, C-M, Magistretti, PJ, Marshall, CR, Mitchell, JE, Monson, ET, Myers, RM, Pinto, D, Powers, A, Ramoz, N, Roepke, S, Rozanov, V, Scherer, SW, Schmahl, C, Sokolowski, M, Strober, M, Thornton, LM, Treasure, J, Tsuang, MT, Witt, SH, Woodside, DB, Yilmaz, Z, Zillich, L, Adolfsson, R, Agartz, I, Air, TM, Alda, M, Alfredsson, L, Andreassen, OA, Anjorin, A, Appadurai, V, Artigas, MS, Van der Auwera, S, Azevedo, MH, Bass, N, Bau, CHD, Baune, BT, Bellivier, F, Berger, K, Biernacka, JM, Bigdeli, TB, Binder, EB, Boehnke, M, Boks, MP, Bosch, R, Braff, DL, Bryant, R, Budde, M, Byrne, EM, Cahn, W, Casas, M, Castelao, E, Cervilla, JA, Chaumette, B, Cichon, S, Corvin, A, Craddock, N, Craig, D, Degenhardt, F, Djurovic, S, Edenberg, HJ, Fanous, AH, Foo, JC, Forstner, AJ, Frye, M, Fullerton, JM, Gatt, JM, Gejman, P, Giegling, I, Grabe, HJ, Green, MJ, Grevet, EH, Grigoroiu-Serbanescu, M, Gutierrez, B, Guzman-Parra, J, Hamilton, SP, Hamshere, ML, Hartmann, A, Hauser, J, Heilmann-Heimbach, S, Hoffmann, P, Ising, M, Jones, I, Jones, LA, Jonsson, L, Kahn, RS, Kelsoe, JR, Kendler, KS, Kloiber, S, Koenen, KC, Kogevinas, M, Konte, B, Krebs, M-O, Lander, M, Lawrence, J, Leboyer, M, Lee, PH, Levinson, DF, Liao, C, Lissowska, J, Lucae, S, Mayoral, F, McElroy, SL, McGrath, P, McGuffin, P, McQuillin, A, Medland, SE, Mehta, D, Melle, I, Milaneschi, Y, Mitchell, PB, Molina, E, Morken, G, Mortensen, PB, Mueller-Myhsok, B, Nievergelt, C, Nimgaonkar, V, Noethen, MM, O'Donovan, MC, Ophoff, RA, Owen, MJ, Pato, C, Pato, MT, Penninx, BWJH, Pimm, J, Pistis, G, Potash, JB, Power, RA, Preisig, M, Quested, D, Ramos-Quiroga, JA, Reif, A, Ribases, M, Richarte, V, Rietschel, M, Rivera, M, Roberts, A, Roberts, G, Rouleau, GA, Rovaris, DL, Rujescu, D, Sanchez-Mora, C, Sanders, AR, Schofield, PR, Schulze, TG, Scott, LJ, Serretti, A, Shi, J, Shyn, S, Sirignano, L, Sklar, P, Smeland, OB, Smoller, JW, Sonuga-Barke, EJS, Spalletta, G, Strauss, JS, Swiatkowska, B, Trzaskowski, M, Turecki, G, Vilar-Ribo, L, Vincent, JB, Voelzke, H, Walters, JTR, Weickert, CS, Weickert, TW, Weissman, MM, Williams, LM, Wray, NR, Zai, CC, Ashley-Koch, AE, Beckham, JC, Hauser, ER, Hauser, MA, Kimbrel, NA, Lindquist, JH, McMahon, B, Oslin, DW, Qin, X, Agerbo, E, Borglum, AD, Breen, G, Erlangsen, A, Esko, T, Gelernter, J, Hougaard, DM, Kessler, RC, Kranzler, HR, Li, QS, Martin, NG, McIntosh, AM, Mors, O, Nordentoft, M, Olsen, CM, Porteous, D, Ursano, RJ, Wasserman, D, Werge, T, Whiteman, DC, Bulik, CM, Coon, H, Demontis, D, Docherty, AR, Kuo, P-H, Lewis, CM, Mann, JJ, Renteria, ME, Smith, DJ, Stahl, EA, Stein, MB, Streit, F, Willour, V, and Ruderfer, DM
- Abstract
BACKGROUND: Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. METHODS: We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. RESULTS: Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. CONCLUSIONS: Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.
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- 2022
4. Rare coding variation provides insight into the genetic architecture and phenotypic context of autism
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J. M., Fu, Satterstrom, F. K., Peng, M., Brand, H., Collins, R. L., Dong, S., Wamsley, B., Klei, L., Wang, L., Hao, S. P., Stevens, C. R., Cusick, C., Babadi, M., Banks, E., Collins, B., Dodge, S., Gabriel, S. B., Gauthier, L., Lee, S. K., Liang, L., Ljungdahl, A., Mahjani, B., Sloofman, L., Smirnov, A. N., Barbosa, M., Betancur, C., Brusco, A., Chung, B. H. Y., Cook, E. H., Cuccaro, M. L., Domenici, E., Ferrero, G. B., Gargus, J. J., Herman, G. E., Hertz-Picciotto, I., Maciel, P., Manoach, D. S., Passos-Bueno, M. R., Persico, A., Renieri, A., Sutcliffe, J. S., Tassone, F., Trabetti, E., Campos, G., Cardaropoli, S., Carli, D., Chan, M. C. Y., Fallerini, C., Giorgio, E., Girardi, A. C., Hansen-Kiss, E., Lee, S. L., Lintas, C., Ludena, Y., Nguyen, R., Pavinato, L., Pericak-Vance, M., Pessah, I. N., Schmidt, R. J., Smith, M., Costa, C. I. S., Trajkova, S., Wang, J. Y. T., M. H. C., Yu, Aleksic, B., Artomov, M., Benetti, E., Biscaldi-Schafer, M., Borglum, A. D., Carracedo, A., Chiocchetti, A. G., Coon, H., Doan, R. N., Fernandez-Prieto, M., Freitag, C. M., Gerges, S., Guter, S., Hougaard, D. M., Hultman, C. M., Jacob, S., Kaartinen, M., Kolevzon, A., Kushima, I., Lehtimaki, T., Rizzo, C. L., Maltman, N., Manara, M., Meiri, G., Menashe, I., Miller, J., Minshew, N., Mosconi, M., Ozaki, N., Palotie, A., Parellada, M., Puura, K., Reichenberg, A., Sandin, S., Scherer, S. W., Schlitt, S., Schmitt, L., Schneider-Momm, K., Siper, P. M., Suren, P., Sweeney, J. A., Teufel, K., del Pilar Trelles, M., Weiss, L. A., Yuen, R., Cutler, D. J., De Rubeis, S., Buxbaum, J. D., Daly, M. J., Devlin, B., Roeder, K., Sanders, S. J., Talkowski, M. E., Massachusetts General Hospital [Boston], Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Carnegie Mellon University [Pittsburgh] (CMU), Harvard Medical School [Boston] (HMS), University of California [San Francisco] (UC San Francisco), University of California (UC), University of California [Los Angeles] (UCLA), University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Neuroscience Paris Seine (NPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Torino = University of Turin (UNITO), Azienda Ospedalerio - Universitaria Città della Salute e della Scienza di Torino = University Hospital Città della Salute e della Scienza di Torino, The University of Hong Kong (HKU), University of Illinois [Chicago] (UIC), University of Illinois System, University of Miami Leonard M. Miller School of Medicine (UMMSM), University of Trento [Trento], University of California [Irvine] (UC Irvine), Nationwide Children's Hospital, University of California [Davis] (UC Davis), Universidade do Minho = University of Minho [Braga], Massachusetts General Hospital [Boston, MA, USA], Escola Politecnica da Universidade de Sao Paulo [Sao Paulo], Università degli Studi di Messina = University of Messina (UniMe), Università degli Studi di Siena = University of Siena (UNISI), Azienda Ospedaliera Universitaria Senese, Vanderbilt University [Nashville], Vanderbilt University School of Medicine [Nashville], Università degli studi di Verona = University of Verona (UNIVR), University of Texas Health Science Center, The University of Texas Health Science Center at Houston (UTHealth), Università Campus Bio-Medico di Roma / University Campus Bio-Medico of Rome ( UCBM), Emory University School of Medicine, Emory University [Atlanta, GA], Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Autism Sequencing Consortium (ASC), Broad Institute Center for Common Disease Genomics (Broad-CCDG), iPSYCH-BROAD Consortium : Branko Aleksic, Mykyta Artomov, Elisa Benetti, Monica Biscaldi-Schafer, Anders D Børglum, Angel Carracedo, Andreas G Chiocchetti, Hilary Coon, Ryan N Doan, Montserrat Fernández-Prieto, Christine M Freitag, Sherif Gerges, Stephen Guter, David M Hougaard, Christina M Hultman, Suma Jacob, Miia Kaartinen, Alexander Kolevzon, Itaru Kushima, Terho Lehtimäki, Caterina Lo Rizzo, Nell Maltman, Marianna Manara, Gal Meiri, Idan Menashe, Judith Miller, Nancy Minshew, Matthew Mosconi, Norio Ozaki, Aarno Palotie, Mara Parellada, Kaija Puura, Abraham Reichenberg, Sven Sandin, Stephen W Scherer, Sabine Schlitt, Lauren Schmitt, Katja Schneider-Momm, Paige M Siper, Pål Suren, John A Sweeney, Karoline Teufel, Maria Del Pilar Trelles, Lauren A Weiss, Ryan Yuen., and Betancur, Catalina
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Broad Institute Center for Common Disease Genomics ,Autism Sequencing Consortium ,DNA Copy Number Variations ,Autism Spectrum Disorder ,[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology ,Autism ,Intellectual and Developmental Disabilities (IDD) ,iPSYCH-BROAD Consortium ,autism spectrum disorders ,disease gene ,copy number variants ,neuropsychiatric disorders ,[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics ,GENOMAS ,Medical and Health Sciences ,Article ,Clinical Research ,Genetics ,Humans ,2.1 Biological and endogenous factors ,Genetic Predisposition to Disease ,Autistic Disorder ,Aetiology ,Genetic association study ,Pediatric ,Human Genome ,Neurodevelopmental disorders ,[SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology ,Biological Sciences ,Autism spectrum disorders ,Brain Disorders ,Mental Health ,[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics ,Mutation ,Gene expression ,Biotechnology ,Developmental Biology - Abstract
International audience; Some individuals with autism spectrum disorder (ASD) carry functional mutations rarely observed in the general population. We explored the genes disrupted by these variants from joint analysis of protein-truncating variants (PTVs), missense variants and copy number variants (CNVs) in a cohort of 63,237 individuals. We discovered 72 genes associated with ASD at false discovery rate (FDR) ≤ 0.001 (185 at FDR ≤ 0.05). De novo PTVs, damaging missense variants and CNVs represented 57.5%, 21.1% and 8.44% of association evidence, while CNVs conferred greatest relative risk. Meta-analysis with cohorts ascertained for developmental delay (DD) (n = 91,605) yielded 373 genes associated with ASD/DD at FDR ≤ 0.001 (664 at FDR ≤ 0.05), some of which differed in relative frequency of mutation between ASD and DD cohorts. The DD-associated genes were enriched in transcriptomes of progenitor and immature neuronal cells, whereas genes showing stronger evidence in ASD were more enriched in maturing neurons and overlapped with schizophrenia-associated genes, emphasizing that these neuropsychiatric disorders may share common pathways to risk.
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- 2022
5. Nicotinic Receptors and the Pathophysiology of Schizophrenia
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Freedman, R., Leonard, S., Adler, L., Bickford, P., Byerley, W., Coon, H., Miller, C., Luntz-Leybman, V., Myles-Worsley, M., Nagamoto, H., Rose, G., Stevens, K., Waldo, M., Clarke, Paul Brian Sydenham, editor, Quik, Maryka, editor, Adlkofer, Franz, editor, and Thurau, Klaus, editor
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- 1995
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6. Receptor regulation
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Dávila-Garciá, M. I., Oasba, S. S., Houghtling, R. A., Kellar, K. J., Komourian, J., Ouik, M., Zhang, X., Gong, Z-H., Nordberg, Agneta, Donnelly-Roberts, Diana L., Gopalakrishnan, Murali, Arneric, Stephen P., Sullivan, James P., Puchacz, Elzbieta, Eisenhour, Cynthia, Lucas, Ronald J., Lucero, Linda, Rowell, Peter P., Bencherif, Merouane, Fowler, Kathy, Lippiello, Patrick M., Hsu, Y. N., Amin, J., Weiss, D., Wecker, L., Sargent, P. B., Garrett, E. N., Wilson, H. L., Matthews, S. D., Clarke, P. B. S., El-Bizri, H., Stitzel, J. A., Farnham, D. A., Collins, A. C., Leonard, S., Adler, L. E., Bickford, P. C., Hall, M., Rollins, Y., Breese, C., Logel, J., Drebing, C., Byerley, W., Coon, H., Freedman, R., Bullock, A. E., Schneider, A. S., Codilnola, A., Tarroni, P., Cattaneo, M. G., Vicentini, L. M., Clementi, F., Sher, F., Jansson, B., editor, Jörnvall, H., editor, Rydberg, U., editor, Terenius, L., editor, Vallee, B. L., editor, Clarke, Paul Brian Sydenham, editor, Quik, Maryka, editor, Thurau, Klaus, editor, and Adlkofer, Franz, editor
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- 1994
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7. Musical Instrument Engagement in Adolescence Predicts Verbal Ability Four Years Later: A Twin and Adoption Study
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Chandra A. Reynolds, Michael C. Stallings, John K. Hewitt, Naomi P. Friedman, Reyna L. Gordon, Daniel E. Gustavson, Robin P. Corley, and Coon H
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Adolescent ,Intelligence ,Twins ,Musical instrument ,Adoption study ,behavioral disciplines and activities ,humanities ,Article ,Developmental psychology ,Child Development ,Cognition ,Humans ,Psychology ,Child ,Music - Abstract
Individual differences in music traits are heritable and correlated with the development of cognitive and communication skills, but little is known about whether diverse modes of music engagement (e.g., playing instruments vs. singing) reflect similar underlying genetic/environmental influences. Moreover, the biological etiology underlying the relationship between musicality and childhood language development is poorly understood. Here we explored genetic and environmental associations between music engagement and verbal ability in the Colorado Adoption/Twin Study of Lifespan behavioral development and cognitive aging (CATSLife) project. N=1684 adolescents completed measures of music engagement and intelligence at approximately age 12 and/or multiple tests of verbal ability at age 16. Structural equation models revealed that instrument engagement was highly heritable (a2=.78), with moderate heritabilities for singing (a2=.43) and dance engagement (a2=.66). Adolescent self-reported instrument engagement (but not singing or dance engagement) was genetically correlated with age 12 verbal intelligence, and still was associated with age 16 verbal ability even when controlling for age 12 full-scale intelligence, providing evidence for a longitudinal relationship between music engagement and language beyond shared general cognitive processes. Together, these novel findings suggest that shared genetic influences in part accounts for phenotypic associations between music engagement and language, but there may also be some (weak) direct benefits of music engagement on later language abilities.
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- 2021
8. In Vitro Culture of a Primary Plasmacytoma that has Retained Its Dependence on Pristane Conditioned Microenvironment for Growth
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Degrassi, A., Hilbert, D. M., Anderson, A. O., Potter, M., Coon, H. G., Compans, R. W., editor, Cooper, M., editor, Koprowski, H., editor, McConnell, I., editor, Melchers, F., editor, Nussenzweig, V., editor, Oldstone, M., editor, Olsnes, S., editor, Potter, M., editor, Saedler, H., editor, Vogt, P. K., editor, Wagner, H., editor, Wilson, I., editor, Potter, Michael, editor, and Melchers, Fritz, editor
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- 1990
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9. Culture of Hormone-Dependent Functional Epithelial Cells from Rat Thyroids
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Ambesi-Impiombato, F. S., Parks, L. A. M., and Coon, H. G.
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- 1980
10. Cloning and Characterization of DNA Sequences Surrounding the Human γ -, δ -, and β -globin genes
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Kaufman, R. E., Kretschmer, P. J., Adams, J. W., Coon, H. C., Anderson, W. F., and Nienhuis, A. W.
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- 1980
11. Regulation of Aryl Hydrocarbon Hydroxylase in Intraspecific Hybrids of Human, Mouse, and Hamster Cells
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Wiebel, F. J., Gelboin, H. V., and Coon, H. G.
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- 1972
12. Nicotine and human diseases
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Thomas, Gao, Rhodes, J., Sanberg, Paul R., Silver, Archie A., Hughes, J., Freedman, R., Adler, L. E., Bickford, P., Luntz-Leybman, V., Wear, K., Hoffer, L. J., Griffith, J., Waldo, M., Coon, H., Myles-Worsley, M., Leonard, S., Byerley, W., Baron, John A., Janson, A. M., Møller, A., Hedlund, P. B., von Euler, G., Fuxe, K., Joseph, M. H., Grigoryan, G., Hodges, H., Gray, J. A., Newhouse, Paul A., Potter, Alexandra, Piasecki, Melissa, Geelmuyden, Jennifer, Corwin, June, Lenox, Robert, Levin, Edward D., Torry, Diane, Jansson, B., editor, Jörnvall, H., editor, Rydberg, U., editor, Terenius, L., editor, Vallee, B. L., editor, Clarke, Paul Brian Sydenham, editor, Quik, Maryka, editor, Thurau, Klaus, editor, and Adlkofer, Franz, editor
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- 1994
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13. Mutation-specific pathophysiological mechanisms define different neurodevelopmental disorders associated with SATB1 dysfunction
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Hoed, J. den, Boer, E. de, Voisin, N., Dingemans, A.J.M., Guex, N., Wiel, L.J.M. van de, Nellaker, C., Amudhavalli, S.M., Banka, S., Bena, F.S., Ben-Zeev, B., Bonagura, V.R., Bruel, A.L., Brunet, T., Brunner, H.G., Chew, H.B., Chrast, J., Cimbalistienė, L., Coon, H., Délot, E.C., Démurger, F., Denommé-Pichon, A.S., Depienne, C., Donnai, D., Dyment, D.A., Elpeleg, O., Faivre, L., Gilissen, C.F., Granger, L., Haber, B., Hachiya, Y., Abedi, Y.H., Hanebeck, J., Hehir-Kwa, J.Y., Horist, B., Itai, T., Jackson, A., Jewell, R., Jones, K.L., Joss, S., Kashii, H., Kato, M., Kattentidt-Mouravieva, A.A., Kok, F., Kotzaeridou, U., Krishnamurthy, V., Kučinskas, V., Kuechler, A., Lavillaureix, A., Liu, P, Manwaring, L., Matsumoto, N., Mazel, B., McWalter, K., Meiner, V., Mikati, M.A., Miyatake, S., Mizuguchi, T., Moey, L.H., Mohammed, S, Mor-Shaked, H., Mountford, H., Newbury-Ecob, R., Odent, S., Orec, L., Osmond, M., Palculict, T.B., Parker, M., Petersen, A.K., Pfundt, R.P., Preikšaitienė, E., Radtke, K., Ranza, E., Rosenfeld, J.A., Santiago-Sim, T., Schwager, C., Sinnema, M., Snijders Blok, L., Spillmann, R.C., Stegmann, A.P.A., Thiffault, I., Tran, L., Vaknin-Dembinsky, A., Vedovato-Dos-Santos, J.H., Schrier Vergano, S.A., Vilain, E., Vitobello, A., Wagner, M., Waheeb, A., Willing, M., Zuccarelli, B., Kini, U., Newbury, D.F., Kleefstra, T., Reymond, A., Fisher, S.E., Vissers, L.E.L.M., Hoed, J. den, Boer, E. de, Voisin, N., Dingemans, A.J.M., Guex, N., Wiel, L.J.M. van de, Nellaker, C., Amudhavalli, S.M., Banka, S., Bena, F.S., Ben-Zeev, B., Bonagura, V.R., Bruel, A.L., Brunet, T., Brunner, H.G., Chew, H.B., Chrast, J., Cimbalistienė, L., Coon, H., Délot, E.C., Démurger, F., Denommé-Pichon, A.S., Depienne, C., Donnai, D., Dyment, D.A., Elpeleg, O., Faivre, L., Gilissen, C.F., Granger, L., Haber, B., Hachiya, Y., Abedi, Y.H., Hanebeck, J., Hehir-Kwa, J.Y., Horist, B., Itai, T., Jackson, A., Jewell, R., Jones, K.L., Joss, S., Kashii, H., Kato, M., Kattentidt-Mouravieva, A.A., Kok, F., Kotzaeridou, U., Krishnamurthy, V., Kučinskas, V., Kuechler, A., Lavillaureix, A., Liu, P, Manwaring, L., Matsumoto, N., Mazel, B., McWalter, K., Meiner, V., Mikati, M.A., Miyatake, S., Mizuguchi, T., Moey, L.H., Mohammed, S, Mor-Shaked, H., Mountford, H., Newbury-Ecob, R., Odent, S., Orec, L., Osmond, M., Palculict, T.B., Parker, M., Petersen, A.K., Pfundt, R.P., Preikšaitienė, E., Radtke, K., Ranza, E., Rosenfeld, J.A., Santiago-Sim, T., Schwager, C., Sinnema, M., Snijders Blok, L., Spillmann, R.C., Stegmann, A.P.A., Thiffault, I., Tran, L., Vaknin-Dembinsky, A., Vedovato-Dos-Santos, J.H., Schrier Vergano, S.A., Vilain, E., Vitobello, A., Wagner, M., Waheeb, A., Willing, M., Zuccarelli, B., Kini, U., Newbury, D.F., Kleefstra, T., Reymond, A., Fisher, S.E., and Vissers, L.E.L.M.
- Abstract
Contains fulltext : 231687.pdf (Publisher’s version ) (Closed access), Whereas large-scale statistical analyses can robustly identify disease-gene relationships, they do not accurately capture genotype-phenotype correlations or disease mechanisms. We use multiple lines of independent evidence to show that different variant types in a single gene, SATB1, cause clinically overlapping but distinct neurodevelopmental disorders. Clinical evaluation of 42 individuals carrying SATB1 variants identified overt genotype-phenotype relationships, associated with different pathophysiological mechanisms, established by functional assays. Missense variants in the CUT1 and CUT2 DNA-binding domains result in stronger chromatin binding, increased transcriptional repression, and a severe phenotype. In contrast, variants predicted to result in haploinsufficiency are associated with a milder clinical presentation. A similarly mild phenotype is observed for individuals with premature protein truncating variants that escape nonsense-mediated decay, which are transcriptionally active but mislocalized in the cell. Our results suggest that in-depth mutation-specific genotype-phenotype studies are essential to capture full disease complexity and to explain phenotypic variability.
- Published
- 2021
14. Genome-wide linkage in Utah autism pedigrees
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Allen-Brady, K, Robison, R, Cannon, D, Varvil, T, Villalobos, M, Pingree, C, Leppert, M F, Miller, J, McMahon, W M, and Coon, H
- Published
- 2010
- Full Text
- View/download PDF
15. A high-density SNP genome-wide linkage scan in a large autism extended pedigree
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Allen-Brady, K, Miller, J, Matsunami, N, Stevens, J, Block, H, Farley, M, Krasny, L, Pingree, C, Lainhart, J, Leppert, M, McMahon, W M, and Coon, H
- Published
- 2009
- Full Text
- View/download PDF
16. Evidence for multiple loci from a genome scan of autism kindreds
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Schellenberg, G D, Dawson, G, Sung, Y J, Estes, A, Munson, J, Rosenthal, E, Rothstein, J, Flodman, P, Smith, M, Coon, H, Leong, L, Yu, C-E, Stodgell, C, Rodier, P M, Spence, M A, Minshew, N, McMahon, W M, and Wijsman, E M
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- 2006
- Full Text
- View/download PDF
17. Haplosufficiency of the melanocortin-4 receptor gene in individuals with deletions of 18q
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Cody, J.D., Reveles, X.T., Hale, D.E., Lehman, D., Coon, H., and Leach, R.J.
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- 1999
- Full Text
- View/download PDF
18. Evidence for a chromosome 2p13–14 schizophrenia susceptibility locus in families from Palau, Micronesia
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Coon, H, Myles-Worsley, M, Tiobech, J, Hoff, M, Rosenthal, J, Bennett, P, Reimherr, F, Wender, P, Dale, P, Polloi, A, and Byerley, W
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- 1998
- Full Text
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19. Sex-specific findings from a genome-wide linkage analysis of human fatness in non-Hispanic whites and African Americans: The HyperGEN Study CE Lewis
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Lewis, C E, North, K E, Arnett, D, Borecki, I B, Coon, H, Ellison, R C, Hunt, S C, Oberman, A, Rich, S S, Province, M A, and Miller, M B
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- 2005
20. Rates, distribution and implications of postzygotic mosaic mutations in autism spectrum disorder
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Lim, Elaine T., Uddin, Mohammed, De Rubeis, Silvia, Chan, Yingleong, Kamumbu, Anne S., Zhang, Xiaochang, D'Gama, Alissa M., Kim, Sonia N., Hill, Robert Sean, Goldberg, Arthur P., Poultney, Christopher, Minshew, Nancy J., Kushima, Itaru, Aleksic, Branko, Ozaki, Norio, Parellada, Mara, Arango, Celso, Penzol, Maria J., Carracedo, Angel, Kolevzon, Alexander, Hultman, Christina M., Weiss, Lauren A., Fromer, Menachem, Chiocchetti, Andreas G., Freitag, Christine M., Church, George M., Scherer, Stephen W., Buxbaum, Joseph D., Walsh, Christopher A, Aleksic, B, Anney, R, Barbosa, M, Barrett, J, Betancur, C, Bishop, S, Brusco, A, Buxbaum, Jd, Carracedo, A, Chiocchetti, Ag, Chung, Bhy, Cook, E, Coon, H, Cutler, Dj, Daly, M, De Rubeis, S, Doan, R, Fernández-Prieto, M, Ferrero, Gb, Freitag, Cm, Fromer, M, Gargus, J, Geschwind, D, Gill, M, Gómez-Guerrero, L, Hansen-Kiss, E, He, X, Herman, G, Hertz-Picciotto, I, Hultman, C, Iliadou, B, Ionita-Laza, I, Jugessur, A, Knudsen, Gp, Kolevzon, A, Kosmicki, J, Kushima, I, Lee, Sl, Lehner, T, Lennertz, S, Lim, E, Maciel, P, Magnus, P, Manoach, D, Minshew, N, Morrow, E, Mulle, J, Neale, B, Ozaki, N, Palotie, A, Parellada, M, Passos-Bueno, Mr, Pericak-Vance, M, Persico, A, Pessah, I, Reichenberg, A, Reichert, J, Renieri, A, Robinson, E, Samocha, K, Sanders, S, Sandin, S, Santangelo, Sl, Satterstrom, K, Schafer, C, Schellenberg, G, Scherer, S, Senthil, G, Silva, M, Singh, T, Siper, Pm, Soares, G, Stevens, C, Stoltenberg, C, Surén, P, Sutcliffe, Js, Szatmari, P, Tassone, F, Thurm, A, Walsh, C, Weiss, L, Werling, D, Willsey, J, Xu, X, Yu, Tw, Yuen, R, Zwick, Me., Howard Hughes Medical Institute [Boston] (HHMI), Howard Hughes Medical Institute (HHMI)-Harvard Medical School [Boston] (HMS), Boston Children's Hospital, Harvard Medical School [Boston] (HMS), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Harvard University [Cambridge], Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Nagoya University, Hospital General Universitario 'Gregorio Marañón' [Madrid], Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Universidade de Santiago de Compostela [Spain] (USC ), CIBER de Enfermedades Raras (CIBERER), Fundación Pública Galega Medicina Xenómica - SERGAS [Santiago de Compostela, Spain] (Grupo de Medicina Xenómica), CIBER de Enfermedades Raras (CIBERER)-Universidade de Santiago de Compostela [Spain] (USC ), King Abdulaziz University, Karolinska Institutet [Stockholm], University of California [San Francisco] (UCSF), University of California, Goethe-University Frankfurt am Main, Génétique de l'autisme = Genetics of Autism (NPS-01), Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), The Hospital for sick children [Toronto] (SickKids), University of Toronto, McLaughlin Centre for Population Health Risk Assessment, University of Ottawa [Ottawa], Autism Sequencing Consortium: Branko Aleksic, Richard Anney, Mafalda Barbosa, Jeffrey Barrett, Catalina Betancur, Somer Bishop, Alfredo Brusco, Joseph D Buxbaum, Angel Carracedo, Andreas G Chiocchetti, Brian H Y Chung, Edwin Cook, Hilary Coon, David J Cutler, Mark Daly, Silvia De Rubeis, Ryan Doan, Montserrat Fernández-Prieto, Giovanni Battista Ferrero, Christine M Freitag, Menachem Fromer, Jay Gargus, Dan Geschwind, Michael Gill, Lorena Gómez-Guerrero, Emily Hansen-Kiss, Xin He, Gail Herman, Irva Hertz-Picciotto, Christina Hultman, Bozenna Iliadou, Iuliana Ionita-Laza, Anil Jugessur, Gun Peggy Knudsen, Alexander Kolevzon, Jack Kosmicki, Itaru Kushima, S L Lee, Thomas Lehner, Savannah Lennertz, Elaine Lim, Patricia Maciel, Per Magnus, Dara Manoach, Nancy Minshew, Eric Morrow, Jennifer Mulle, Benjamin Neale, Norio Ozaki, Aarno Palotie, Mara Parellada, Maria Rita Passos-Bueno, Margaret Pericak-Vance, Antonio Persico, Isaac Pessah, Avi Reichenberg, Jennifer Reichert, Alessandra Renieri, Elise Robinson, Kaitlin Samocha, Stephan Sanders, Sven Sandin, Susan L Santangelo, Kyle Satterstrom, Chad Schafer, Gerry Schellenberg, Stephen Scherer, Geetha Senthil, Marisol Silva, Tarjinder Singh, Paige M Siper, Gabriela Soares, Christine Stevens, Camilla Stoltenberg, Pål Surén, James S Sutcliffe, Peter Szatmari, Flora Tassone, Audrey Thurm, Christopher Walsh, Lauren Weiss, Donna Werling, Jeremy Willsey, Xinyi Xu, Timothy W Yu, Ryan Yuen, Michael E Zwick., University of California [San Francisco] (UC San Francisco), University of California (UC), Neuroscience Paris Seine (NPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Betancur, Catalina
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0301 basic medicine ,Proband ,Nonsynonymous substitution ,Autism Spectrum Disorder ,Databases ,Genetic ,Genetic Predisposition to Disease ,Genetic Variation ,Humans ,Mosaicism ,Mutation ,Missense ,Zygote ,Neuroscience (all) ,Mutation, Missense ,Epigenetics of autism ,Biology ,[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics ,medicine.disease_cause ,Article ,03 medical and health sciences ,Genetic variation ,mental disorders ,Databases, Genetic ,medicine ,Missense mutation ,Heritability of autism ,MESH: Genetic Variation ,MESH: Databases, Genetic ,Genetics ,MESH: Autism Spectrum Disorder ,MESH: Mutation, Missense ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,MESH: Humans ,General Neuroscience ,MESH: Genetic Predisposition to Disease ,medicine.disease ,030104 developmental biology ,[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics ,Autism spectrum disorder ,MESH: Zygote ,MESH: Mosaicism - Abstract
International audience; We systematically analyzed postzygotic mutations (PZMs) in whole-exome sequences from the largest collection of trios (5,947) with autism spectrum disorder (ASD) available, including 282 unpublished trios, and performed resequencing using multiple independent technologies. We identified 7.5% of de novo mutations as PZMs, 83.3% of which were not described in previous studies. Damaging, nonsynonymous PZMs within critical exons of prenatally expressed genes were more common in ASD probands than controls (P < 1 × 10-6), and genes carrying these PZMs were enriched for expression in the amygdala (P = 5.4 × 10-3). Two genes (KLF16 and MSANTD2) were significantly enriched for PZMs genome-wide, and other PZMs involved genes (SCN2A, HNRNPU and SMARCA4) whose mutation is known to cause ASD or other neurodevelopmental disorders. PZMs constitute a significant proportion of de novo mutations and contribute importantly to ASD risk.
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- 2017
21. Manic-Depression and the Norepinephrine Transporter Gene
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Hadley, D., Hoff, M., Holik, J., Reimherr, F., Wender, P., Coon, H., and Byerley, W.
- Published
- 1995
22. Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts
- Author
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Schwantes-An, TH, Zhang, J, Chen, LS, Hartz, SM, Culverhouse, RC, Chen, X, Coon, H, Frank, J, Kamens, HM, Konte, B, Kovanen, L, Latvala, A, Legrand, LN, Maher, BS, Melroy, WE, Nelson, EC, Reid, MW, Robinson, JD, Shen, PH, Yang, BZ, Andrews, JA, Aveyard, P, Beltcheva, O, Brown, SA, Cannon, DS, Cichon, S, Corley, RP, Dahmen, N, Degenhardt, L, Foroud, T, Gaebel, W, Giegling, I, Glatt, SJ, Grucza, RA, Hardin, J, Hartmann, AM, Heath, AC, Herms, S, Hodgkinson, CA, Hoffmann, P, Hops, H, Huizinga, D, Ising, M, Johnson, EO, Johnstone, E, Kaneva, RP, Kendler, KS, Kiefer, F, Kranzler, HR, Krauter, KS, Levran, O, Lucae, S, Lynskey, MT, Maier, W, Mann, K, Martin, NG, Mattheisen, M, Montgomery, GW, Müller-Myhsok, B, Murphy, MF, Neale, MC, Nikolov, MA, Nishita, D, Nöthen, MM, Nurnberger, J, Partonen, T, Pergadia, ML, Reynolds, M, Ridinger, M, Rose, RJ, Rouvinen-Lagerström, N, Scherbaum, N, Schmäl, C, Soyka, M, Stallings, MC, Steffens, M, Treutlein, J, Tsuang, M, Wall, TL, Wodarz, N, Yuferov, V, Zill, P, Bergen, AW, and Chen, J
- Abstract
© 2015, Springer Science+Business Media New York. The mu1 opioid receptor gene, OPRM1, has long been a high-priority candidate for human genetic studies of addiction. Because of its potential functional significance, the non-synonymous variant rs1799971 (A118G, Asn40Asp) in OPRM1 has been extensively studied, yet its role in addiction has remained unclear, with conflicting association findings. To resolve the question of what effect, if any, rs1799971 has on substance dependence risk, we conducted collaborative meta-analyses of 25 datasets with over 28,000 European-ancestry subjects. We investigated non-specific risk for “general” substance dependence, comparing cases dependent on any substance to controls who were non-dependent on all assessed substances. We also examined five specific substance dependence diagnoses: DSM-IV alcohol, opioid, cannabis, and cocaine dependence, and nicotine dependence defined by the proxy of heavy/light smoking (cigarettes-per-day >20 vs. ≤10). The G allele showed a modest protective effect on general substance dependence (OR = 0.90, 95 % C.I. [0.83–0.97], p value = 0.0095, N = 16,908). We observed similar effects for each individual substance, although these were not statistically significant, likely because of reduced sample sizes. We conclude that rs1799971 contributes to mechanisms of addiction liability that are shared across different addictive substances. This project highlights the benefits of examining addictive behaviors collectively and the power of collaborative data sharing and meta-analyses.
- Published
- 2016
23. Combined genome-wide linkage and targeted association analysis of head circumference in autism spectrum disorder families
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Woodbury-Smith, M., primary, Bilder, D. A., additional, Morgan, J., additional, Jerominski, L., additional, Darlington, T., additional, Dyer, T., additional, Paterson, A. D., additional, and Coon, H., additional
- Published
- 2017
- Full Text
- View/download PDF
24. Genome Scans for Apolipoproteins A-I and B in the NHLBI Family Heart Study (FHS)
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Weis, K.A., Arnett, D.K., Tsai, M.Y., Coon, H., Heiss, G., Atwood, L.D., and Hong, Y.
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Human genetics -- Research ,Apolipoproteins -- Physiological aspects ,Biological sciences - Published
- 2001
25. Full Genome Scan of HDL-cholesterol in the NHLBI Family Heart Study (FHS)
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Peacock, J.M., Arnett, D.K., Atwood, L.D., Myers, R.H., Province, M.A., Coon, H., Rich, S.S., and Heiss, G.
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Human genetics -- Research ,Coronary heart disease -- Genetic aspects ,Cholesterol, HDL -- Genetic aspects ,Biological sciences - Published
- 2000
26. The impact of the metabotropic glutamate receptor and other gene family interaction networks on autism
- Author
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Hadley, D., Wu, Z.L., Kao, C., Kini, A., Mohamed-Hadley, A., Thomas, K., Vazquez, L., Qiu, H., Mentch, F., Pellegrino, R., Kim, C., Connolly, J., Glessner, J., Hakonarson, H., Pinto, D., Merikangas, A., Klei, L., Vorstman, J.A., Thompson, A., Regan, R., Pagnamenta, A.T., Oliveira, B., Magalhaes, T.R., Gilbert, J., Duketis, E., De Jonge, M.V., Cuccaro, M., Correia, C.T., Conroy, J., Conceição, I.C., Chiocchetti, A.G., Casey, J.P., Bolshakova, N., Bacchelli, E., Anney, R., Zwaigenbaum, L., Wittemeyer, K., Wallace, S., Engeland, Hv, Soorya, L., Rogé, B., Roberts, W., Poustka, F., Mouga, S., Minshew, N., McGrew, S.G., Lord, C., Leboyer, M., Le Couteur, A.S., Kolevzon, A., Jacob, S., Guter, S., Green, J., Green, A., Gillberg, C., Fernandez, B.A., Duque, F., Delorme, R., Dawson, G., Café, C., Brennan, S., Bourgeron, T., Bolton, P.F., Bölte, S., Bernier, R., Baird, G., Bailey, A.J., Anagnostou, E., Almeida, J., Wijsman, E.M., Vieland, V.J., Vicente, A.M., Schellenberg, G.D., Pericak-Vance, M., Paterson, A.D., Parr, J.R., Oliveira, G., Correia, C., Nurnberger, J.I., Monaco, A.P., Maestrini, E., Klauck, S.M., Haines, J.L., Geschwind, D.H., Freitag, C.M., Folstein, S.E., Ennis, S., Coon, H., Battaglia, A., Szatmari, P., Sutcliffe, J.S., Hallmayer, J., Gill, M., Cook, E.H., Buxbaum, J.D., Devlin, B., Gallagher, L., Betancur, C., and Scherer, S.W.
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Autism ,Perturbações do Desenvolvimento Infantil e Saúde Mental - Abstract
Although multiple reports show that defective genetic networks underlie the aetiology of autism, few have translated into pharmacotherapeutic opportunities. Since drugs compete with endogenous small molecules for protein binding, many successful drugs target large gene families with multiple drug binding sites. Here we search for defective gene family interaction networks (GFINs) in 6,742 patients with the ASDs relative to 12,544 neurologically normal controls, to find potentially druggable genetic targets. We find significant enrichment of structural defects (P≤2.40E-09, 1.8-fold enrichment) in the metabotropic glutamate receptor (GRM) GFIN, previously observed to impact attention deficit hyperactivity disorder (ADHD) and schizophrenia. Also, the MXD-MYC-MAX network of genes, previously implicated in cancer, is significantly enriched (P≤3.83E-23, 2.5-fold enrichment), as is the calmodulin 1 (CALM1) gene interaction network (P≤4.16E-04, 14.4-fold enrichment), which regulates voltage-independent calcium-activated action potentials at the neuronal synapse. We find that multiple defective gene family interactions underlie autism, presenting new translational opportunities to explore for therapeutic interventions.
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- 2014
27. Convergence of genes and cellular pathways dysregulated in autism spectrum disorders
- Author
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Pinto, D., Delaby, E., Merico, D., Barbosa, M., Merikangas, A., Klei, L, Thiruvahindrapuram, B., Xu, X., Ziman, R., Wang, Z., Vorstman, J.A., Thompson, A., Regan, R., Pilorge, M., Pellecchia, G., Pagnamenta, A.T., Oliveira, B., Marshall, C.R., Magalhães, T.R., Lowe, J.K., Howe, J.L., Griswold, A.J., Gilbert, J., Duketis, E., Dombroski, B.A., De Jonge, M.V., Cuccaro, M., Crawford, E.L., Correia, C.T., Conroy, J., Conceição, I.C, Chiocchetti, A.G., Casey, J.P., Cai, G., Cabrol, C., Bolshakova, N., Bacchelli, E., Anney, R., Gallinger, S., Cotterchio, M., Casey, G., Zwaigenbaum, L., Wittemeyer, K., Wing, K., Wallace, S., van Engeland, H., Tryfon, A., Thomson, S., Soorya, L., Rogé, B., Roberts, W., Poustka, F., Mouga, S., Minshew, N., McInnes, L.A., McGrew, S.G., Lord, C., Leboyer, M., Le Couteur, A.S., Kolevzon, A., Jiménez González, P., Jacob, S., Holt, R., Guter, S., Green, J., Green, A., Gillberg, C., Fernandez, B.A., Duque, F., Delorme, R., Dawson, G., Chaste, P., Café, C., Brennan, S., Bourgeron, T., Bolton, P.F., Bölte, S., Bernier, R., Baird, G., Bailey, A.J., Anagnostou, E., Almeida, J., Wijsman, E.M., Vieland, V.J., Vicente, A.M., Schellenberg, G.D., Pericak-Vance, M., Paterson, A.D., Parr, J.R., Oliveira, G., Nurnberger, J.I., Monaco, A.P., Maestrini, E., Klauck, S.M., Hakonarson, H., Haines, J.L., Geschwind, D.H., Freitag, C.M., Folstein, S.E., Ennis, S., Coon, H., Battaglia, A., Szatmari, P., Sutcliffe, J.S., Hallmayer, J., Gill, M., Cook, E.H., Buxbaum, J.D., Devlin, B., Gallagher, L., and Betancur, C.
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Autism Spectrum Disorders ,Rare copy-number variation ,Autism ,mental disorders ,Perturbações do Desenvolvimento Infantil e Saúde Mental - Abstract
Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability (odds ratio = 12.62, p = 2.7 × 10(-15), ∼3% of ASD subjects). Pathogenic CNVs, often showing variable expressivity, included rare de novo and inherited events at 36 loci, implicating ASD-associated genes (CHD2, HDAC4, and GDI1) previously linked to other neurodevelopmental disorders, as well as other genes such as SETD5, MIR137, and HDAC9. Consistent with hypothesized gender-specific modulators, females with ASD were more likely to have highly penetrant CNVs (p = 0.017) and were also overrepresented among subjects with fragile X syndrome protein targets (p = 0.02). Genes affected by de novo CNVs and/or loss-of-function single-nucleotide variants converged on networks related to neuronal signaling and development, synapse function, and chromatin regulation.
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- 2014
28. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways.
- Author
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O'Dushlaine, C., Rossin, L., Lee, P.H., Duncan, L., Parikshak, N.N., Newhouse, S., Ripke, S., Neale, B.M., Purcell, S., Posthuma, D., Nurnberger, J.I., Lee, S.H., Faraone, S.V., Perlis, R.H., Mowry, B.J., Thapar, A., Goddard, M.E., Witte, J.S., Absher, D., Agartz, I., Akil, H., Amin, F., Andreassen, O.A., Anjorin, A., Anney, R., Anttila, V., Arking, D.E., Asherson, P., Azevedo, M.H., Backlund, L., Badner, J.A., Bailey, A.J., Banaschewski, T., Barchas, J.D., Barnes, M.R., Barrett, T.B., Bass, N., Battaglia, A., Bauer, M., Bayes, M., Bellivier, F., Bergen, S.E., Berrettini, W., Betancur, C., Bettecken, T., Biederman, J., Binder, E.B., Black, D.W., Blackwood, D.H., Bloss, C.S., Boehnke, M., Boomsma, D.I., Breuer, R., Bruggeman, R., Cormican, P., Buccola, N.G., Buitelaar, J.K., Bunney, W.E., Buxbaum, J.D., Byerley, W.F., Byrne, E.M., Caesar, S., Cahn, W., Cantor, R.M., Casas, M., Chakravarti, A., Chambert, K., Choudhury, K., Cichon, S., Mattheisen, M., Cloninger, C.R., Collier, D.A., Cook, E.H., Coon, H., Cormand, B., Corvin, A., Coryell, W.H., Craig, D.W., Craig, I., Crosbie, J., Cuccaro, M.L., Curtis, D., Czamara, D., Datta, S., Dawson, G., Day, R., Geus, E.J. de, Degenhardt, F., Djurovic, S., Donohoe, G., Doyle, A., Duan, J., Dudbridge, F., Duketis, E., Ebstein, R.P., Edenberg, H.J., Elia, J., Ennis, S., Etain, B., Fanous, A., Farmer, A., Ferrier, I.N., Flickinger, M., Foroud, T.M., Frank, J., Franke, B., Fraser, C., Freedman, R., Freimer, N.B., Freitag, C.M., Friedl, M., Frisen, L., Gallagher, L., Gejman, P.V., Georgieva, L., Gershon, E.S., Giegling, I., Gill, M., Gordon, S., Gordon-Smith, K., Green, E.K., Greenwood, T.A., Grice, D.E., Gross, M., Grozeva, D., Guan, W., Gurling, H., Haan, L. de, Haines, J.L., Hakonarson, H., Hallmayer, J., Hamilton, S.P., Hamshere, M., Hansen, T., Hartmann, A.M., Hauutzinger, M., Heath, A.C., Henders, A.K., Herms, S., Hickie, I., et al., O'Dushlaine, C., Rossin, L., Lee, P.H., Duncan, L., Parikshak, N.N., Newhouse, S., Ripke, S., Neale, B.M., Purcell, S., Posthuma, D., Nurnberger, J.I., Lee, S.H., Faraone, S.V., Perlis, R.H., Mowry, B.J., Thapar, A., Goddard, M.E., Witte, J.S., Absher, D., Agartz, I., Akil, H., Amin, F., Andreassen, O.A., Anjorin, A., Anney, R., Anttila, V., Arking, D.E., Asherson, P., Azevedo, M.H., Backlund, L., Badner, J.A., Bailey, A.J., Banaschewski, T., Barchas, J.D., Barnes, M.R., Barrett, T.B., Bass, N., Battaglia, A., Bauer, M., Bayes, M., Bellivier, F., Bergen, S.E., Berrettini, W., Betancur, C., Bettecken, T., Biederman, J., Binder, E.B., Black, D.W., Blackwood, D.H., Bloss, C.S., Boehnke, M., Boomsma, D.I., Breuer, R., Bruggeman, R., Cormican, P., Buccola, N.G., Buitelaar, J.K., Bunney, W.E., Buxbaum, J.D., Byerley, W.F., Byrne, E.M., Caesar, S., Cahn, W., Cantor, R.M., Casas, M., Chakravarti, A., Chambert, K., Choudhury, K., Cichon, S., Mattheisen, M., Cloninger, C.R., Collier, D.A., Cook, E.H., Coon, H., Cormand, B., Corvin, A., Coryell, W.H., Craig, D.W., Craig, I., Crosbie, J., Cuccaro, M.L., Curtis, D., Czamara, D., Datta, S., Dawson, G., Day, R., Geus, E.J. de, Degenhardt, F., Djurovic, S., Donohoe, G., Doyle, A., Duan, J., Dudbridge, F., Duketis, E., Ebstein, R.P., Edenberg, H.J., Elia, J., Ennis, S., Etain, B., Fanous, A., Farmer, A., Ferrier, I.N., Flickinger, M., Foroud, T.M., Frank, J., Franke, B., Fraser, C., Freedman, R., Freimer, N.B., Freitag, C.M., Friedl, M., Frisen, L., Gallagher, L., Gejman, P.V., Georgieva, L., Gershon, E.S., Giegling, I., Gill, M., Gordon, S., Gordon-Smith, K., Green, E.K., Greenwood, T.A., Grice, D.E., Gross, M., Grozeva, D., Guan, W., Gurling, H., Haan, L. de, Haines, J.L., Hakonarson, H., Hallmayer, J., Hamilton, S.P., Hamshere, M., Hansen, T., Hartmann, A.M., Hauutzinger, M., Heath, A.C., Henders, A.K., Herms, S., Hickie, I., and et al.
- Abstract
Contains fulltext : 153763pre.pdf (preprint version ) (Open Access)
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- 2015
29. Identification of risk loci with shared effects on five major psychiatric disorders:a genome-wide analysis
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Smoller, J.W., Ripke, S., Lee, P.H., Neale, B., Nurnberger, J.I., Santangelo, S., Sullivan, P.F., Perlis, R.H., Purcell, S.M., Fanous, A., Neale, M.C., Rietschel, M., Schulze, T.G., Thapar, A., Anney, R., Buitelaar, J.K., Farone, S.V., Hoogendijk, W.J.G., Levinson, D.F., Lesch, K.P., Riley, B., Schachar, R., Sonuga-Barke, E.J., Absher, D., Agartz, I., Akil, H., Amin, F., Andreassen, O.A., Anjorin, A., Arking, D., Asherson, P., Azevedo, M.H., Backlund, L., Badner, J.A., Banaschewski, T., Barchas, J.D., Barnes, M.R., Bass, N., Bauer, M.C.R., Bellivier, F., Bergen, S.E., Berrettini, W., Bettecken, T., Biederman, J, Binder, E.B., Black, D.W., Blackwood, D.H., Bloss, C.S., Boehnke, M., Boomsma, D.I., Breen, G., Breuer, R., Buccola, N.G., Bunner, W.E., Burmeister, M., Buxbaum, J.D., Byerley, W. F., Sian, C., Cantor, R.M., Chakravarti, A., Chambert, K., Chicon, S., Cloniger, C.R., Collier, D.A., Cook, E., Coon, H., Corvin, A., Coryell, W.H., Craig, D.W., Craig, I.W., Curtis, D., Czamara, D., Daly, M., Datta, S., Day, R., de Geus, E.J.C., Degenhardt, F., Devlin, B., Srdjan, D., Doyle, A.E., Duan, J., Dudbridge, F., Edenberg, H.J., Elkin, A., Etain, B., Farmer, A.E., Ferreira, M.A.R., Ferrier, I.N., Flickinger, M., Foroud, T., Frank, J., Franke, B., Fraser, C., Freedman, R., Freimer, N.B., Friedl, M., Frisén, L., Gejman, P.V., Georgieva, L., Gershon, E.S., Giegling, I., Gill, M., Gordon, S.D., Gordon-Smith, K., Green, E.K., Greenwood, T.A., Gross, M., Grozeva, D., Guan, W., Gurling, H., Gustafsson, O., Hakonarson, H., Hamilton, S.P., Hamshere, M.L., Hansen, T.F., Hartmann, A.M., Hautzinger, M., Heath, A.C., Henders, A.K., Herms, S., Hickie, I.B., Hipolito, M., Hoefels, S., Holmans, P.A., Holsboer, F., Hottenga, J.J., Hultman, C. M., Ingason, A., Ising, M., Jamain, S., Jones, E.G., Jones, L., Jones, I., Jung-Ying, T., Kahler, A., Kandaswamy, R., Keller, M.C., Kelsoe, J., Kennedy, J.L., Kenny, E., Kim, Y., Kirov, G. K., Knowles, J.A., Kohli, M.A., Koller, D.L., Konte, B., Korszun, A., Krasucki, R., Kuntsi, J., Phoenix, K., Landén, M., Langstrom, N., Lathrop, M., Lawrence, J., Lawson, W.B., Leboyer, M., Lencz, T., Lewis, C.M., Li, J., Lichtenstein, P., Lieberman, J. A., Lin, D., Liu, C., Lohoff, F.W., Loo, S.K., Lucae, S., MacIntyre, D.J., Madden, P.A.F., Magnusson, P., Mahon, P.B., Maier, W., Malhotra, A.K., Mattheisen, M., Matthews, K., Mattingsdal, M., McCarroll, S., McGhee, K.A., McGough, J.J., McGrath, P.J., McGuffin, P., McInnis, M.G., McIntosh, A., McKinney, R., McClean, A.W., McMahon, F.J., McQuillin, A., Medeiros, H., Medland, S.E., Meier, S., Melle, I., Meng, F., Middeldorp, C.M., Middleton, L., Vihra, M., Mitchell, P.B., Montgomery, G.W., Moran, J., Morken, G., Morris, D.W., Moskvina, V., Mowry, B. J., Muglia, P., Mühleisen, T.W., Muir, W.J., Müller-Myhsok, B., Myers, R.M., Nelson, S.F., Nievergelt, C.M., Nikolovq, I., Nimgaonkar, V.L., Nolen, W.A., Nöthen, M.M., Nwulia, E.A., Nyholt, DR, O'Donovan, M.C., O'Dushlaine, C., Oades, R.D., Olincy, A., Olsen, L., Ophoff, R.A., Osby, U., Óskarsson, H., Owen, M.J., Palotie, A., Pato, M.T., Pato, C.N., Penninx, B.W.J.H., Pergadia, M.L., Petursson, H., Pickard, B.S., Pimm, J., Piven, J., Porgeirsson, P., Posthuma, D., Potash, J.B., Propping, J., Puri, V., Quested, D., Quinn, E.M., Rasmussen, H.B., Raychaudhuri, S., Rehnström, K., Reif, A., Rice, J., Rossin, L., Rothenberger, A., Rouleau, G., Ruderfer, D., Rujescu, D., Sanders, A.R., Schalling, M., Schatzberg, A.F., Scheftner, W.A., Schellenberg, G.D., Schofield, P.R., Schork, N.J., Schumacher, J., Schwarz, M.M., Scolnick, E., Scott, L.J., Shi, J., Shillling, P.D., Shyn, S.I., Sigurdsson, E., Silverman, J.M., Sklar, P., Slager, S.L., Smalley, S.L., Smit, J.H., Smith, E.N., Sonuga-Barke, E., St Clair, D., State, M., Stefansson, K., Stefansson, H., Steffans, M., Steinberg, S., Steinhausen, H.C., Strauss, J., Strohmaier, J., Stroup, T.S., Sutcliffe, J., Szatmari, P., Szelinger, S., Thirumalai, S., Thompson, R.C., Tozzi, F., Treutlein, J., Uhr, M., van den Oord, E.J., Grootheest, G., Vieland, V., Vincent, J.B., Visscher, P.M., Watson, S.J., Weissman, M.M., Werge, T., Wienker, T.F., Willemsen, G., Williamson, R., Witt, S.H., Wray, N.R., Wright, A., Xu, W., Young, A.H., Zammit, S., Zandi, P.P., Zhang, P., Zitman, F.G., Zöllner, S., Kendler, K.S., Psychiatry, Human genetics, Epidemiology and Data Science, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Biological Psychology, Functional Genomics, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Neuroscience Campus Amsterdam - Brain Imaging Technology, Psychiatrie & Neuropsychologie, Farmacologie en Toxicologie, RS: CARIM School for Cardiovascular Diseases, RS: MHeNs School for Mental Health and Neuroscience, Oades, Robert D. (Beitragende*r), and Oades, Robert D.
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Netherlands Twin Register (NTR) ,Adult ,medicine.medical_specialty ,Bipolar Disorder ,Calcium Channels, L-Type ,Population ,Medizin ,Genome-wide association study ,Biology ,Polymorphism, Single Nucleotide ,Article ,Genomic disorders and inherited multi-system disorders DCN MP - Plasticity and memory [IGMD 3] ,medicine ,ddc:61 ,Attention deficit hyperactivity disorder ,Humans ,DCN PAC - Perception action and control NCEBP 9 - Mental health ,ddc:610 ,Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters ,Bipolar disorder ,Age of Onset ,Psychiatry ,education ,Child ,Genetics ,education.field_of_study ,Depressive Disorder, Major ,General Medicine ,Genomic disorders and inherited multi-system disorders [DCN PAC - Perception action and control IGMD 3] ,medicine.disease ,Logistic Models ,Autism spectrum disorder ,Schizophrenia ,Attention Deficit Disorder with Hyperactivity ,Child Development Disorders, Pervasive ,Genetic Loci ,Expression quantitative trait loci ,Major depressive disorder ,Genome-Wide Association Study - Abstract
Item does not contain fulltext BACKGROUND: Findings from family and twin studies suggest that genetic contributions to psychiatric disorders do not in all cases map to present diagnostic categories. We aimed to identify specific variants underlying genetic effects shared between the five disorders in the Psychiatric Genomics Consortium: autism spectrum disorder, attention deficit-hyperactivity disorder, bipolar disorder, major depressive disorder, and schizophrenia. METHODS: We analysed genome-wide single-nucleotide polymorphism (SNP) data for the five disorders in 33,332 cases and 27,888 controls of European ancestory. To characterise allelic effects on each disorder, we applied a multinomial logistic regression procedure with model selection to identify the best-fitting model of relations between genotype and phenotype. We examined cross-disorder effects of genome-wide significant loci previously identified for bipolar disorder and schizophrenia, and used polygenic risk-score analysis to examine such effects from a broader set of common variants. We undertook pathway analyses to establish the biological associations underlying genetic overlap for the five disorders. We used enrichment analysis of expression quantitative trait loci (eQTL) data to assess whether SNPs with cross-disorder association were enriched for regulatory SNPs in post-mortem brain-tissue samples. FINDINGS: SNPs at four loci surpassed the cutoff for genome-wide significance (p
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- 2013
30. A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder
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Casey, J.P. Magalhaes, T. Conroy, J.M. Regan, R. Shah, N. Anney, R. Shields, D.C. Abrahams, B.S. Almeida, J. Bacchelli, E. Bailey, A.J. Baird, G. Battaglia, A. Berney, T. Bolshakova, N. Bolton, P.F. Bourgeron, T. Brennan, S. Cali, P. Correia, C. Corsello, C. Coutanche, M. Dawson, G. De Jonge, M. Delorme, R. Duketis, E. Duque, F. Estes, A. Farrar, P. Fernandez, B.A. Folstein, S.E. Foley, S. Fombonne, E. Freitag, C.M. Gilbert, J. Gillberg, C. Glessner, J.T. Green, J. Guter, S.J. Hakonarson, H. Holt, R. Hughes, G. Hus, V. Igliozzi, R. Kim, C. Klauck, S.M. Kolevzon, A. Lamb, J.A. Leboyer, M. Couteur, A.L. Leventhal, B.L. Lord, C. Lund, S.C. Maestrini, E. Mantoulan, C. Marshall, C.R. McConachie, H. McDougle, C.J. McGrath, J. McMahon, W.M. Merikangas, A. Miller, J. Minopoli, F. Mirza, G.K. Munson, J. Nelson, S.F. Nygren, G. Oliveira, G. Pagnamenta, A.T. Papanikolaou, K. Parr, J.R. Parrini, B. Pickles, A. Pinto, D. Piven, J. Posey, D.J. Poustka, A. Poustka, F. Ragoussis, J. Roge, B. Rutter, M.L. Sequeira, A.F. Soorya, L. Sousa, I. Sykes, N. Stoppioni, V. Tancredi, R. Tauber, M. Thompson, A.P. Thomson, S. Tsiantis, J. Van Engeland, H. Vincent, J.B. Volkmar, F. Vorstman, J.A.S. Wallace, S. Wang, K. Wassink, T.H. White, K. Wing, K. Wittemeyer, K. Yaspan, B.L. Zwaigenbaum, L. Betancur, C. Buxbaum, J.D. Cantor, R.M. Cook, E.H. Coon, H. Cuccaro, M.L. Geschwind, D.H. Haines, J.L. Hallmayer, J. Monaco, A.P. Nurnberger Jr., J.I. Pericak-Vance, M.A. Schellenberg, G.D. Scherer, S.W. Sutcliffe, J.S. Szatmari, P. Vieland, V.J. Wijsman, E.M. Green, A. Gill, M. Gallagher, L. Vicente, A. Ennis, S.
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mental disorders - Abstract
Autism spectrum disorder (ASD) is a highly heritable disorder of complex and heterogeneous aetiology. It is primarily characterized by altered cognitive ability including impaired language and communication skills and fundamental deficits in social reciprocity. Despite some notable successes in neuropsychiatric genetics, overall, the high heritability of ASD (90%) remains poorly explained by common genetic risk variants. However, recent studies suggest that rare genomic variation, in particular copy number variation, may account for a significant proportion of the genetic basis of ASD. We present a large scale analysis to identify candidate genes which may contain low-frequency recessive variation contributing to ASD while taking into account the potential contribution of population differences to the genetic heterogeneity of ASD. Our strategy, homozygous haplotype (HH) mapping, aims to detect homozygous segments of identical haplotype structure that are shared at a higher frequency amongst ASD patients compared to parental controls. The analysis was performed on 1,402 Autism Genome Project trios genotyped for 1 million single nucleotide polymorphisms (SNPs). We identified 25 known and 1,218 novel ASD candidate genes in the discovery analysis including CADM2, ABHD14A, CHRFAM7A, GRIK2, GRM3, EPHA3, FGF10, KCND2, PDZK1, IMMP2L and FOXP2. Furthermore, 10 of the previously reported ASD genes and 300 of the novel candidates identified in the discovery analysis were replicated in an independent sample of 1,182 trios. Our results demonstrate that regions of HH are significantly enriched for previously reported ASD candidate genes and the observed association is independent of gene size (odds ratio 2.10). Our findings highlight the applicability of HH mapping in complex disorders such as ASD and offer an alternative approach to the analysis of genome-wide association data. © The Author(s) 2011.
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- 2012
31. Gene-ontology enrichment analysis in two independent family-based samples highlights biologically plausible processes for autism spectrum disorders
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Anney, R.J., Kenny, E.M., O'Dushlaine, C., Parkhomenka, E., Buxbaum, J.D., Sutcliffe, J., Gill, M., Gallagher, L., Bailey, A.J., Fernandez, B.A., Szatmari, P., Nurnberger Jr, J.I., McDougle, C.J., Posey, D.J., Lord, C., Corsello, C., Hus, V., Kolevzon, A., Soorya, L., Parkhomenko, E., Scherer, S.W., Leventhal, B.L., Dawson, G., Vieland, V.J., Hakonarson, H., Glessner, J.T., Kim, C., Wang, K., Schellenberg, G.D., Devlin, B., Klei, L., Patterson, A., Minshew, N., Sutcliffe, J.S., Haines, J.L., Lund, S.C., Thomson, S., Yaspan, B.L., Coon, H., Miller, J., McMahon, W.M., Munson, J., Marshall, C.R., Estes, A., Wijsman, EM., The Autism Genome Project, Pinto, D., Vincent, J.B., Fombonne, E., Betancur, C., Delorme, R., Leboyer, M., Bourgeron, T., Mantoulan, C., Roge, B., Tauber, M., Freitag, C.M., Poustka, F., Duketis, E., Klauck, S.M., Poustka, A., Papanikolaou, K., Tsiantis, J., Anney, R., Bolshakova, N., Brennan, S., Hughes, G., McGrath, J., Merikangas, A., Ennis, S., Green, A., Casey, J.P., Conroy, J.M., Regan, R., Shah, N., Maestrini, E., Bacchelli, E., Minopoli, F., Stoppioni, V., Battaglia, A., Igliozzi, R., Parrini, B., Tancredi, R., Oliveira, G., Almeida, J., Duque, F., Vicente, A.M., Correia, C., Magalhaes, T.R., Gillberg, C., Nygren, G., Jonge, M.D., Van Engeland, H., Vorstman, J.A., Wittemeyer, K., Baird, G., Bolton, P.F, Rutter, M.L., Green, J., Lamb, J.A., Pickles, A., Parr, J.R., Couteur, A.L., Berney, T., McConachie, H., Wallace, S., Coutanche, M., Foley, S., White, K., Monaco, A.P., Holt, R., Farrar, P., Pagnamenta, A.T., Mirza, G.K., Ragoussis, J., Sousa, I., Sykes, N., Wing, K., Hallmayer, J., Cantor, R.M., Nelson, S.F., Geschwind, D.H., Abrahams, B.S., Volkmar, F., Pericak-Vance, M.A., Cuccaro, M.L., Gilbert, J., Cook, E.H., Guter, S.J., and Jacob, S.
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Pathway analysis ,Autism ,Perturbações do Desenvolvimento Infantil e Saúde Mental ,Gene ontology ,Genome-wide association analysis ,Family-based association test - Abstract
Recent genome-wide association studies (GWAS) have implicated a range of genes from discrete biological pathways in the aetiology of autism. However, despite the strong influence of genetic factors, association studies have yet to identify statistically robust, replicated major effect genes or SNPs. We apply the principle of the SNP ratio test methodology described by O'Dushlaine et al to over 2100 families from the Autism Genome Project (AGP). Using a two-stage design we examine association enrichment in 5955 unique gene-ontology classifications across four groupings based on two phenotypic and two ancestral classifications. Based on estimates from simulation we identify excess of association enrichment across all analyses. We observe enrichment in association for sets of genes involved in diverse biological processes, including pyruvate metabolism, transcription factor activation, cell-signalling and cell-cycle regulation. Both genes and processes that show enrichment have previously been examined in autistic disorders and offer biologically plausibility to these findings.
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- 2011
32. Gene-ontology enrichment analysis in two independent family-based samples highlights biologically plausible processes for autism spectrum disorders
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Anney, R.J.L. Kenny, E.M. O'Dushlaine, C. Yaspan, B.L. Parkhomenka, E. Buxbaum, J.D. Sutcliffe, J. Gill, M. Gallagher, L. Bailey, A.J. Fernandez, B.A. Szatmari, P. Scherer, S.W. Patterson, A. Marshall, C.R. Pinto, D. Vincent, J.B. Fombonne, E. Betancur, C. Delorme, R. Leboyer, M. Bourgeron, T. Mantoulan, C. Roge, B. Tauber, M. Freitag, C.M. Poustka, F. Duketis, E. Klauck, S.M. Poustka, A. Papanikolaou, K. Tsiantis, J. Bolshakova, N. Brennan, S. Hughes, G. McGrath, J. Merikangas, A. Ennis, S. Green, A. Casey, J.P. Conroy, J.M. Regan, R. Shah, N. Maestrini, E. Bacchelli, E. Minopoli, F. Stoppioni, V. Battaglia, A. Igliozzi, R. Parrini, B. Tancredi, R. Oliveira, G. Almeida, J. Duque, F. Vicente, A. Correia, C. Magalhaes, T.R. Gillberg, C. Nygren, G. De Jonge, M. Van Engeland, H. Vorstman, J.A.S. Wittemeyer, K. Baird, G. Bolton, P.F. Rutter, M.L. Green, J. Lamb, J.A. Pickles, A. Parr, J.R. Le Couteur, A. Berney, T. McConachie, H. Wallace, S. Coutanche, M. Foley, S. White, K. Monaco, A.P. Holt, R. Farrar, P. Pagnamenta, A.T. Mirza, G.K. Ragoussis, J. Sousa, I. Sykes, N. Wing, K. Hallmayer, J. Cantor, R.M. Nelson, S.F. Geschwind, D.H. Abrahams, B.S. Volkmar, F. Pericak-Vance, M.A. Cuccaro, M.L. Gilbert, J. Cook, E.H. Guter, S.J. Jacob, S. Nurnberger, J.I., Jr. McDougle, C.J. Posey, D.J. Lord, C. Corsello, C. Hus, V. Kolevzon, A. Soorya, L. Parkhomenko, E. Leventhal, B.L. Dawson, G. Vieland, V.J. Hakonarson, H. Glessner, J.T. Kim, C. Wang, K. Schellenberg, G.D. Devlin, B. Klei, L. Minshew, N. Sutcliffe, J.S. Haines, J.L. Lund, S.C. Thomson, S. Coon, H. Miller, J. McMahon, W.M. Munson, J. Estes, A. Wijsman, E.M. Autism Genome Project
- Abstract
Recent genome-wide association studies (GWAS) have implicated a range of genes from discrete biological pathways in the aetiology of autism. However, despite the strong influence of genetic factors, association studies have yet to identify statistically robust, replicated major effect genes or SNPs. We apply the principle of the SNP ratio test methodology described by O'Dushlaine et al to over 2100 families from the Autism Genome Project (AGP). Using a two-stage design we examine association enrichment in 5955 unique gene-ontology classifications across four groupings based on two phenotypic and two ancestral classifications. Based on estimates from simulation we identify excess of association enrichment across all analyses. We observe enrichment in association for sets of genes involved in diverse biological processes, including pyruvate metabolism, transcription factor activation, cell-signalling and cell-cycle regulation. Both genes and processes that show enrichment have previously been examined in autistic disorders and offer biologically plausibility to these findings. © 2011 Macmillan Publishers Limited All rights reserved.
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- 2011
33. Acute Air Pollution Exposure and Risk of Suicide Completion
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Bakian, A. V., primary, Huber, R. S., additional, Coon, H., additional, Gray, D., additional, Wilson, P., additional, McMahon, W. M., additional, and Renshaw, P. F., additional
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- 2015
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- View/download PDF
34. Bakian et al. Respond to "Assessing Air Pollution and Suicide Risk"
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Bakian, A. V., primary, Huber, R. S., additional, Coon, H., additional, Gray, D., additional, Wilson, P., additional, McMahon, W. M., additional, and Renshaw, P. F., additional
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- 2015
- Full Text
- View/download PDF
35. A genome-wide scan for common alleles affecting risk for autism
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Anney, R. Klei, L. Pinto, D. Regan, R. Conroy, J. Magalhaes, T.R. Correia, C. Abrahams, B.S. Sykes, N. Pagnamenta, A.T. Almeida, J. Bacchelli, E. Bailey, A.J. Baird, G. Battaglia, A. Berney, T. Bolshakova, N. Bölte, S. Bolton, P.F. Bourgeron, T. Brennan, S. Brian, J. Carson, A.R. Casallo, G. Casey, J. Chu, S.H. Cochrane, L. Corsello, C. Crawford, E.L. Crossett, A. Dawson, G. de Jonge, M. Delorme, R. Drmic, I. Duketis, E. Duque, F. Estes, A. Farrar, P. Fernandez, B.A. Folstein, S.E. Fombonne, E. Freitag, C.M. Gilbert, J. Gillberg, C. Glessner, J.T. Goldberg, J. Green, J. Guter, S.J. Hakonarson, H. Heron, E.A. Hill, M. Holt, R. Howe, J.L. Hughes, G. Hus, V. Igliozzi, R. Kim, C. Klauck, S.M. Kolevzon, A. Korvatska, O. Kustanovich, V. Lajonchere, C.M. Lamb, J.A. Laskawiec, M. Leboyer, M. Le Couteur, A. Leventhal, B.L. Lionel, A.C. Liu, X.-Q. Lord, C. Lotspeich, L. Lund, S.C. Maestrini, E. Mahoney, W. Mantoulan, C. Marshall, C.R. McConachie, H. McDougle, C.J. McGrath, J. McMahon, W.M. Melhem, N.M. Merikangas, A. Migita, O. Minshew, N.J. Mirza, G.K. Munson, J. Nelson, S.F. Noakes, C. Noor, A. Nygren, G. Oliveira, G. Papanikolaou, K. Parr, J.R. Parrini, B. Paton, T. Pickles, A. Piven, J. Posey, D.J. Poustka, A. Poustka, F. Prasad, A. Ragoussis, J. Renshaw, K. Rickaby, J. Roberts, W. Roeder, K. Roge, B. Rutter, M.L. Bierut, L.J. Rice, J.P. Salt, J. Sansom, K. Sato, D. Segurado, R. Senman, L. Shah, N. Sheffield, V.C. Soorya, L. Sousa, I. Stoppioni, V. Strawbridge, C. Tancredi, R. Tansey, K. Thiruvahindrapduram, B. Thompson, A.P. Thomson, S. Tryfon, A. Tsiantis, J. van Engeland, H. Vincent, J.B. Volkmar, F. Wallace, S. Wang, K. Wang, Z. Wassink, T.H. Wing, K. Wittemeyer, K. Wood, S. Yaspan, B.L. Zurawiecki, D. Zwaigenbaum, L. Betancur, C. Buxbaum, J.D. Cantor, R.M. Cook, E.H. Coon, H. Cuccaro, M.L. Gallagher, L. Geschwind, D.H. Gill, M. Haines, J.L. Miller, J. Monaco, A.P. Nurnberger Jr., J.I. Paterson, A.D. Pericak-Vance, M.A. Schellenberg, G.D. Scherer, S.W. Sutcliffe, J.S. Szatmari, P. Vicente, A.M. Vieland, V.J. Wijsman, E.M. Devlin, B. Ennis, S. Hallmayer, J.
- Abstract
Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs). To identify common risk variation, the Autism Genome Project (AGP) Consortium genotyped 1558 rigorously defined ASD families for 1 million single-nucleotide polymorphisms (SNPs) and analyzed these SNP genotypes for association with ASD. In one of four primary association analyses, the association signal for marker rs4141463, located within MACROD2, crossed the genome-wide association significance threshold of P < 5 3 10-28. When a smaller replication sample was analyzed, the risk allele at rs4141463 was again over-transmitted; yet, consistent with the winner's curse, its effect size in the replication sample was much smaller; and, for the combined samples, the association signal barely fell below the P < 5 × 10-28 threshold. Exploratory analyses of phenotypic subtypes yielded no significant associations after correction for multiple testing. They did, however, yield strong signals within several genes, KIAA0564, PLD5, POU6F2, ST8SIA2 and TAF1C. © The Author 2010. Published by Oxford University Press. All rights reserved.
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- 2010
36. Functional impact of global rare copy number variation in autism spectrum disorders
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Pinto, D. Pagnamenta, A.T. Klei, L. Anney, R. Merico, D. Regan, R. Conroy, J. Magalhaes, T.R. Correia, C. Abrahams, B.S. Almeida, J. Bacchelli, E. Bader, G.D. Bailey, A.J. Baird, G. Battaglia, A. Berney, T. Bolshakova, N. Bölte, S. Bolton, P.F. Bourgeron, T. Brennan, S. Brian, J. Bryson, S.E. Carson, A.R. Casallo, G. Casey, J. Chung, B.H.Y. Cochrane, L. Corsello, C. Crawford, E.L. Crossett, A. Cytrynbaum, C. Dawson, G. De Jonge, M. Delorme, R. Drmic, I. Duketis, E. Duque, F. Estes, A. Farrar, P. Fernandez, B.A. Folstein, S.E. Fombonne, E. Freitag, C.M. Gilbert, J. Gillberg, C. Glessner, J.T. Goldberg, J. Green, A. Green, J. Guter, S.J. Hakonarson, H. Heron, E.A. Hill, M. Holt, R. Howe, J.L. Hughes, G. Hus, V. Igliozzi, R. Kim, C. Klauck, S.M. Kolevzon, A. Korvatska, O. Kustanovich, V. Lajonchere, C.M. Lamb, J.A. Laskawiec, M. Leboyer, M. Le Couteur, A. Leventhal, B.L. Lionel, A.C. Liu, X.-Q. Lord, C. Lotspeich, L. Lund, S.C. Maestrini, E. Mahoney, W. Mantoulan, C. Marshall, C.R. McConachie, H. McDougle, C.J. McGrath, J. McMahon, W.M. Merikangas, A. Migita, O. Minshew, N.J. Mirza, G.K. Munson, J. Nelson, S.F. Noakes, C. Noor, A. Nygren, G. Oliveira, G. Papanikolaou, K. Parr, J.R. Parrini, B. Paton, T. Pickles, A. Pilorge, M. Piven, J. Ponting, C.P. Posey, D.J. Poustka, A. Poustka, F. Prasad, A. Ragoussis, J. Renshaw, K. Rickaby, J. Roberts, W. Roeder, K. Roge, B. Rutter, M.L. Bierut, L.J. Rice, J.P. Salt, J. Sansom, K. Sato, D. Segurado, R. Sequeira, A.F. Senman, L. Shah, N. Sheffield, V.C. Soorya, L. Sousa, I. Stein, O. Sykes, N. Stoppioni, V. Strawbridge, C. Tancredi, R. Tansey, K. Thiruvahindrapduram, B. Thompson, A.P. Thomson, S. Tryfon, A. Tsiantis, J. Van Engeland, H. Vincent, J.B. Volkmar, F. Wallace, S. Wang, K. Wang, Z. Wassink, T.H. Webber, C. Weksberg, R. Wing, K. Wittemeyer, K. Wood, S. Wu, J. Yaspan, B.L. Zurawiecki, D. Zwaigenbaum, L. Buxbaum, J.D. Cantor, R.M. Cook, E.H. Coon, H. Cuccaro, M.L. Devlin, B. Ennis, S. Gallagher, L. Geschwind, D.H. Gill, M. Haines, J.L. Hallmayer, J. Miller, J. Monaco, A.P. Nurnberger Jr, J.I. Paterson, A.D. Pericak-Vance, M.A. Schellenberg, G.D. Szatmari, P. Vicente, A.M. Vieland, V.J. Wijsman, E.M. Scherer, S.W. Sutcliffe, J.S. Betancur, C.
- Subjects
mental disorders - Abstract
The autism spectrum disorders (ASDs) are a group of conditions characterized by impairments in reciprocal social interaction and communication, and the presence of restricted and repetitive behaviours 1. Individuals with an ASD vary greatly in cognitive development, which can range from above average to intellectual disability2. Although ASDs are known to be highly heritable ( ∼90%)3, the underlying genetic determinants are still largely unknown.Hereweanalysed the genome-wide characteristics of rare (
- Published
- 2010
37. Synaptic, transcriptional and chromatin genes disrupted in autism.
- Author
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De Rubeis, S, He, X, Goldberg, AP, Poultney, CS, Samocha, K, Cicek, AE, Kou, Y, Liu, L, Fromer, M, Walker, S, Singh, T, Klei, L, Kosmicki, J, Shih-Chen, F, Aleksic, B, Biscaldi, M, Bolton, PF, Brownfeld, JM, Cai, J, Campbell, NG, Carracedo, A, Chahrour, MH, Chiocchetti, AG, Coon, H, Crawford, EL, Curran, SR, Dawson, G, Duketis, E, Fernandez, BA, Gallagher, L, Geller, E, Guter, SJ, Hill, RS, Ionita-Laza, J, Jimenz Gonzalez, P, Kilpinen, H, Klauck, SM, Kolevzon, A, Lee, I, Lei, I, Lei, J, Lehtimäki, T, Lin, C-F, Ma'ayan, A, Marshall, CR, McInnes, AL, Neale, B, Owen, MJ, Ozaki, N, Parellada, M, Parr, JR, Purcell, S, Puura, K, Rajagopalan, D, Rehnström, K, Reichenberg, A, Sabo, A, Sachse, M, Sanders, SJ, Schafer, C, Schulte-Rüther, M, Skuse, D, Stevens, C, Szatmari, P, Tammimies, K, Valladares, O, Voran, A, Li-San, W, Weiss, LA, Willsey, AJ, Yu, TW, Yuen, RKC, DDD Study, Homozygosity Mapping Collaborative for Autism, UK10K Consortium, Cook, EH, Freitag, CM, Gill, M, Hultman, CM, Lehner, T, Palotie, A, Schellenberg, GD, Sklar, P, State, MW, Sutcliffe, JS, Walsh, CA, Scherer, SW, Zwick, ME, Barett, JC, Cutler, DJ, Roeder, K, Devlin, B, Daly, MJ, Buxbaum, JD, De Rubeis, S, He, X, Goldberg, AP, Poultney, CS, Samocha, K, Cicek, AE, Kou, Y, Liu, L, Fromer, M, Walker, S, Singh, T, Klei, L, Kosmicki, J, Shih-Chen, F, Aleksic, B, Biscaldi, M, Bolton, PF, Brownfeld, JM, Cai, J, Campbell, NG, Carracedo, A, Chahrour, MH, Chiocchetti, AG, Coon, H, Crawford, EL, Curran, SR, Dawson, G, Duketis, E, Fernandez, BA, Gallagher, L, Geller, E, Guter, SJ, Hill, RS, Ionita-Laza, J, Jimenz Gonzalez, P, Kilpinen, H, Klauck, SM, Kolevzon, A, Lee, I, Lei, I, Lei, J, Lehtimäki, T, Lin, C-F, Ma'ayan, A, Marshall, CR, McInnes, AL, Neale, B, Owen, MJ, Ozaki, N, Parellada, M, Parr, JR, Purcell, S, Puura, K, Rajagopalan, D, Rehnström, K, Reichenberg, A, Sabo, A, Sachse, M, Sanders, SJ, Schafer, C, Schulte-Rüther, M, Skuse, D, Stevens, C, Szatmari, P, Tammimies, K, Valladares, O, Voran, A, Li-San, W, Weiss, LA, Willsey, AJ, Yu, TW, Yuen, RKC, DDD Study, Homozygosity Mapping Collaborative for Autism, UK10K Consortium, Cook, EH, Freitag, CM, Gill, M, Hultman, CM, Lehner, T, Palotie, A, Schellenberg, GD, Sklar, P, State, MW, Sutcliffe, JS, Walsh, CA, Scherer, SW, Zwick, ME, Barett, JC, Cutler, DJ, Roeder, K, Devlin, B, Daly, MJ, and Buxbaum, JD
- Abstract
The genetic architecture of autism spectrum disorder involves the interplay of common and rare variants and their impact on hundreds of genes. Using exome sequencing, here we show that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate (FDR) < 0.05, plus a set of 107 autosomal genes strongly enriched for those likely to affect risk (FDR < 0.30). These 107 genes, which show unusual evolutionary constraint against mutations, incur de novo loss-of-function mutations in over 5% of autistic subjects. Many of the genes implicated encode proteins for synaptic formation, transcriptional regulation and chromatin-remodelling pathways. These include voltage-gated ion channels regulating the propagation of action potentials, pacemaking and excitability-transcription coupling, as well as histone-modifying enzymes and chromatin remodellers-most prominently those that mediate post-translational lysine methylation/demethylation modifications of histones.
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- 2014
38. A genome-wide linkage and association scan reveals novel loci for autism
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Weiss, L.A. Arking, D.E. Daly, M.J. Chakravarti, A. Brune, C.W. West, K. O'Connor, A. Hilton, G. Tomlinson, R.L. West, A.B. Cook Jr., E.H. Green, T. Chang, S.-C. Gabriel, S. Gates, C. Hanson, E.M. Kirby, A. Korn, J. Kuruvilla, F. McCarroll, S. Morrow, E.M. Neale, B. Purcell, S. Sasanfar, R. Sougnez, C. Stevens, C. Altshuler, D. Gusella, J. Santangelo, S.L. Sklar, P. Tanzi, R. Anney, R. Bailey, A.J. Baird, G. Battaglia, A. Berney, T. Betancur, C. Bölte, S. Bolton, P.F. Brian, J. Bryson, S.E. Buxbaum, J.D. Cabrito, I. Cai, G. Cantor, R.M. Coon, H. Conroy, J. Correia, C. Corsello, C. Crawford, E.L. Cuccaro, M.L. Dawson, G. De Jonge, M. Devlin, B. Duketis, E. Ennis, S. Estes, A. Farrar, P. Fombonne, E. Freitag, C.M. Gallagher, L. Geschwind, D.H. Gilbert, J. Gill, M. Gillberg, C. Goldberg, J. Green, A. Green, J. Guter, S.J. Haines, J.L. Hallmayer, J.F. Hus, V. Klauck, S.M. Korvatska, O. Lamb, J.A. Laskawiec, M. Leboyer, M. Le Couteur, A. Leventha, B.L. Liu, X.-Q. Lord, C. Lotspeich, L.J. Maestrini, E. Magalhaes, T. Mahoney, W. Mantoulan, C. McConachie, H. McDougle, C.J. McMahon, W.M. Marshall, C.R. Miller, J. Minshew, N.J. Monaco, A.P. Munson, J. Nurnberger Jr., J.I. Oliveira, G. Pagnamenta, A. Papanikolaou, K. Parr, J.R. Paterson, A.D. Pericak-Vance, M.A. Pickles, A. Pinto, D. Piven, J. Posey, D.J. Poustka, A. Poustka, F. Regan, R. Reichert, J. Renshaw, K. Roberts, W. Roge, B. Rutter, M.L. Salt, J. Schellenberg, G.D. Scherer, S.W. Sheffield, V. Sutcliffe, J.S. Szatmari, P. Tansey, K. Thompson, A.P. Tsiantis, J. Van Engeland, H. Vicente, A.M. Vieland, V.J. Volkmar, F. Wallace, S. Wassink, T.H. Wijsman, E.M. Wing, K. Wittemeyer, K. Yaspan, B.L. Zwaigenbaum, L. Yoo, S.-Y. Hill, R.S. Mukaddes, N.M. Balkhy, S. Gascon, G. Al-Saad, S. Hashmi, A. Ware, J. Joseph, R.M. LeClair, E. Partlow, J.N. Barry, B. Walsh, C.A. Pauls, D. Moilanen, I. Ebeling, H. Mattila, M.-L. Kuusikko, S. Jussila, K. Ignatius, J. Tolouei, A. Ghadami, M. Rostami, M. Hosseinipour, A. Valujerdi, M. Andresen, K. Winkloski, B. Haddad, S. Kunkel, L. Kohane, Z. Tran, T. Won Kong, S. O'Neil, S.B. Hundley, R. Holm, I. Peters, H. Baroni, E. Cangialose, A. Jackson, L. Albers, L. Becker, R. Bridgemohan, C. Friedman, S. Munir, K. Nazir, R. Palfrey, J. Schonwald, A. Simmons, E. Rappaport, L.A. Gauthier, J. Mottron, L. Joober, R. Rouleau, G. Rehnstrom, K. Von Wendt, L. Peltonen, L.
- Abstract
Although autism is a highly heritable neurodevelopmental disorder, attempts to identify specific susceptibility genes have thus far met with limited success. Genome-wide association studies using half a million or more markers, particularly those with very large sample sizes achieved through meta-analysis, have shown great success in mapping genes for other complex genetic traits. Consequently, we initiated a linkage and association mapping study using half a million genome-wide single nucleotide polymorphisms (SNPs) in a common set of 1,031 multiplex autism families (1,553 affected offspring). We identified regions of suggestive and significant linkage on chromosomes 6q27 and 20p13, respectively. Initial analysis did not yield genome-wide significant associations; however, genotyping of top hits in additional families revealed an SNP on chromosome 5p15 (between SEMA5A and TAS2R1) that was significantly associated with autism (P = 2 × 10-7). We also demonstrated that expression of SEMA5A is reduced in brains from autistic patients, further implicating SEMA5A as an autism susceptibility gene. The linkage regions reported here provide targets for rare variation screening whereas the discovery of a single novel association demonstrates the action of common variants.
- Published
- 2009
39. Mapping autism risk loci using genetic linkage and chromosomal rearrangements
- Author
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Szatmari, P, Paterson, AD, Zwaigenbaum, L, Roberts, W, Brian, J, Liu, XQ, Vincent, JB, Skaug, JL, Thompson, AP, Senman, L, Feuk, L, Qian, C, Bryson, SE, Jones, MB, Marshall, CR, Scherer, SW, Vieland, VJ, Bartlett, C, Mangin, LV, Goedken, R, Segre, A, Pericak-Vance, MA, Cuccaro, ML, Gilbert, JR, Wright, HH, Abramson, RK, Betancur, C, Bourgeron, T, Gillberg, C, Leboyer, M, Buxbaum, JD, Davis, KL, Hollander, E, Silverman, JM, Hallmayer, J, Lotspeich, L, Sutcliffe, JS, Haines, JL, Folstein, SE, Piven, J, Wassink, TH, Sheffield, V, Geschwind, DH, Bucan, M, Brown, WT, Cantor, RM, Constantino, JN, Gilliam, TC, Herbert, M, LaJonchere, C, Ledbetter, DH, Lese-Martin, C, Miller, J, Nelson, S, Samango-Sprouse, CA, Spence, S, State, M, Tanzi, RE, Coon, H, Dawson, G, Devlin, B, Estes, A, Flodman, P, Klei, L, McMahon, WM, Minshew, N, Munson, J, Korvatska, E, Rodier, PM, Schellenberg, GD, Smith, M, Spence, MA, Stodgell, C, Tepper, PG, Wijsman, EM, Yu, CE, Rogé, B, Mantoulan, C, Wittemeyer, K, Poustka, A, Felder, B, Klauck, SM, Schuster, C, Poustka, F, Bölte, S, Feineis-Matthews, S, Herbrecht, E, Schmötzer, G, Tsiantis, J, Papanikolaou, K, Maestrini, E, and Bacchelli, E
- Subjects
mental disorders - Abstract
Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,168 families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs. © 2007 Nature Publishing Group.
- Published
- 2007
40. Mapping autism risk loci using genetic linkage and chromosomal rearrangements
- Author
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Szatmari, P. Paterson, A.D. Zwaigenbaum, L. Roberts, W. Brian, J. Liu, X.-Q. Vincent, J.B. Skaug, J.L. Thompson, A.P. Senman, L. Feuk, L. Qian, C. Bryson, S.E. Jones, M.B. Marshall, C.R. Scherer, S.W. Vieland, V.J. Bartlett, C. Mangin, L.V. Goedken, R. Segre, A. Pericak-Vance, M.A. Cuccaro, M.L. Gilbert, J.R. Wright, H.H. Abramson, R.K. Betancur, C. Bourgeron, T. Gillberg, C. Leboyer, M. Buxbaum, J.D. Davis, K.L. Hollander, E. Silverman, J.M. Hallmayer, J. Lotspeich, L. Sutcliffe, J.S. Haines, J.L. Folstein, S.E. Piven, J. Wassink, T.H. Sheffield, V. Geschwind, D.H. Bucan, M. Brown, W.T. Cantor, R.M. Constantino, J.N. Gilliam, T.C. Herbert, M. LaJonchere, C. Ledbetter, D.H. Lese-Martin, C. Miller, J. Nelson, S. Samango-Sprouse, C.A. Spence, S. State, M. Tanzi, R.E. Coon, H. Dawson, G. Devlin, B. Estes, A. Flodman, P. Klei, L. McMahon, W.M. Minshew, N. Munson, J. Korvatska, E. Rodier, P.M. Schellenberg, G.D. Smith, M. Spence, M.A. Stodgell, C. Tepper, P.G. Wijsman, E.M. Yu, C.-E. Rogé, B. Mantoulan, C. Wittemeyer, K. Poustka, A. Felder, B. Klauck, S.M. Schuster, C. Poustka, F. Bölte, S. Feineis-Matthews, S. Herbrecht, E. Schmötzer, G. Tsiantis, J. Papanikolaou, K. Maestrini, E. Bacchelli, E. Blasi, F. Carone, S. Toma, C. Van Engeland, H. De Jonge, M. Kemner, C. Koop, F. Langemeijer, M. Hijimans, C. Staal, W.G. Baird, G. Bolton, P.F. Rutter, M.L. Weisblatt, E. Green, J. Aldred, C. Wilkinson, J.-A. Pickles, A. Le Couteur, A. Berney, T. McConachie, H. Bailey, A.J. Francis, K. Honeyman, G. Hutchinson, A. Parr, J.R. Wallace, S. Monaco, A.P. Barnby, G. Kobayashi, K. Lamb, J.A. Sousa, I. Sykes, N. Cook, E.H. Guter, S.J. Leventhal, B.L. Salt, J. Lord, C. Corsello, C. Hus, V. Weeks, D.E. Volkmar, F. Tauber, M. Fombonne, E. Shih, A.
- Subjects
mental disorders - Abstract
Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,168 families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs. © 2007 Nature Publishing Group.
- Published
- 2007
41. Alleles of A Reelin CGG Repeat Do Not Convey Liability to Autism in A Sample from the CPEA Network
- Author
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Devlin, B, Bennett, P, Dawson, G, Figlewicz, DA, Grigorenko, EL, McMahon, W, Minshew, N, Pauls, D, Smith, M, Spence, MA, Rodier, PM, Stodgell, C, Coon, H, Lainart, J, Kim, SJ, Leventhal, B, Lord, C, Escamilla, J, Abbott, R, Estes, A, Munson, J, Rudell, P, and Schellenberg, GD
- Abstract
A recent study by Persico et al. [2001: Mol Psychiatry 6:150-159] suggests alleles of a CGG polymorphism, just 5′ of the reelin gene (RELN) initiator codon, confer liability for autism, especially alleles bearing 11 or more CGG repeats (long alleles). The association is consistent across both a case-control and family-based sample. We attempted to replicate their finding using a larger, independent family-based sample from the NIH Collaborative Programs of Excellence in Autism (CPEA) Network. In our data, allele transmissions to individuals with autism versus unaffected individuals are unbiased, both when alleles are classified by repeat length and when they are classified into long/short categories. Because of the apparent linkage of autism to chromosome 7q, particularly related to the development of language, we also evaluate the relationship between Reelin alleles and the age at which autism subjects use their first word or first phrase. Neither is significantly associated with Reelin alleles. Our results are not consistent with a major role for Reelin alleles in liability to autism.
- Published
- 2004
42. Identifying rare variants for genetic risk through a combined pedigree and phenotype approach: application to suicide and asthma
- Author
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Darlington, T M, primary, Pimentel, R, additional, Smith, K, additional, Bakian, A V, additional, Jerominski, L, additional, Cardon, J, additional, Camp, N J, additional, Callor, W B, additional, Grey, T, additional, Singleton, M, additional, Yandell, M, additional, Renshaw, P F, additional, Yurgelun-Todd, D A, additional, Gray, D, additional, and Coon, H, additional
- Published
- 2014
- Full Text
- View/download PDF
43. SLC6A3 coding variant Ala559Val found in two autism probands alters dopamine transporter function and trafficking
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Bowton, E, primary, Saunders, C, additional, Reddy, I A, additional, Campbell, N G, additional, Hamilton, P J, additional, Henry, L K, additional, Coon, H, additional, Sakrikar, D, additional, Veenstra-VanderWeele, J M, additional, Blakely, R D, additional, Sutcliffe, J, additional, Matthies, H J G, additional, Erreger, K, additional, and Galli, A, additional
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- 2014
- Full Text
- View/download PDF
44. Genome scan meta-analysis of schizophrenia and bipolar disorder, part III:Bipolar disorder
- Author
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Segurado, R., Detera-Wadleigh, S.D., Levinson, D.F., Lewis, C.M., Gill, M., Nurnberger, J.I., Craddock, N., DePaulo, J.R., Baron, M., Gershon, E.S., Ekholm, J., Cichon, S., Turecki, G., Claes, S., Kelsoe, J.R., Schofield, P.R., Badenhop, R.F., Morissette, J., Coon, H., Blackwood, D., McInnes, L.A., Foroud, T., Edenberg, H.J., Reich, T., Rice, J.P., Goate, A., McInnis, M.G., McMahon, F.J., Badner, J.A., Goldin, L.R., Bennett, P., Willour, V.L., Zandi, P.P., Liu, J., Gilliam, C., Juo, S.H., Berrettini, W.H., Yoshikawa, T., Peltonen, L., Lonnqvist, J., Nothen, M.M., Schumacher, J., Windemuth, C., Rietschel, M., Propping, P., Maier, W., Alda, M., Grof, P., Rouleau, G.A., Del-Favero, J., Van Broeckhoven, C., Mendlewicz, J., Adolfsson, R., Spence, M.A., Luebbert, H., Adams, L.J., Donald, J.A., Mitchell, P.B., Barden, N., Shink, E., Byerley, W., Muir, W., Visscher, P.M., Macgregor, S., Gurling, H., Kalsi, G., McQuillin, A., Escamilla, M.A., Reus, V.I., Leon, P., Freimer, N.B., Ewald, H., Kruse, T.A., Mors, O., Radhakrishna, U., Blouin, J.L., Antonarakis, S.E., and Akarsu, N.
- Published
- 2003
45. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
- Author
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Lee, Shermin, Ripke, S., Neale, B.M., Faraone, S.V., Purcell, S.M., Perlis, R.H., Mowry, B.J., Thapar, A., Goddard, M.E., Witte, J.S., Absher, D., Agartz, I., Akil, H., Amin, F., Andreassen, O.A., Anjorin, A., Anney, R., Anttila, V., Arking, D.E., Asherson, P., Azevedo, M.H., Backlund, L., Badner, J.A., Bailey, A.J., Banaschewski, T., Barchas, J.D., Barnes, M.R., Barrett, T.B., Bass, N., Battaglia, A., Bauer, M., Bayes, M., Bellivier, F., Bergen, S.E., Berrettini, W., Betancur, C., Bettecken, T., Biederman, J., Binder, E.B., Black, D.W., Blackwood, D.H., Bloss, C.S., Boehnke, M., Boomsma, D.I., Breen, G., Breuer, R., Bruggeman, R., Cormican, P., Buccola, N.G., Buitelaar, J.K., Bunney, W.E., Buxbaum, J.D., Byerley, W.F., Byrne, E.M., Caesar, S., Cahn, W., Cantor, R.M., Casas, M., Chakravarti, A., Chambert, K., Choudhury, K., Cichon, S., Cloninger, C.R., Collier, D.A., Cook, E.H., Coon, H., Cormand, B., Corvin, A., Coryell, W.H., Craig, D.W., Craig, I.W., Crosbie, J., Cuccaro, M.L., Curtis, D., Czamara, D., Datta, S., Dawson, G., Day, R., Geus, E.J. de, Degenhardt, F., Djurovic, S., Donohoe, G.J., Doyle, A.E., Duan, J., Dudbridge, F., Duketis, E., Ebstein, R.P., Edenberg, H.J., Elia, J., Ennis, S., Etain, B., Fanous, A., Farmer, A.E., Ferrier, I.N., Flickinger, M., Fombonne, E., Foroud, T., Frank, J., Franke, B., et al., Lee, Shermin, Ripke, S., Neale, B.M., Faraone, S.V., Purcell, S.M., Perlis, R.H., Mowry, B.J., Thapar, A., Goddard, M.E., Witte, J.S., Absher, D., Agartz, I., Akil, H., Amin, F., Andreassen, O.A., Anjorin, A., Anney, R., Anttila, V., Arking, D.E., Asherson, P., Azevedo, M.H., Backlund, L., Badner, J.A., Bailey, A.J., Banaschewski, T., Barchas, J.D., Barnes, M.R., Barrett, T.B., Bass, N., Battaglia, A., Bauer, M., Bayes, M., Bellivier, F., Bergen, S.E., Berrettini, W., Betancur, C., Bettecken, T., Biederman, J., Binder, E.B., Black, D.W., Blackwood, D.H., Bloss, C.S., Boehnke, M., Boomsma, D.I., Breen, G., Breuer, R., Bruggeman, R., Cormican, P., Buccola, N.G., Buitelaar, J.K., Bunney, W.E., Buxbaum, J.D., Byerley, W.F., Byrne, E.M., Caesar, S., Cahn, W., Cantor, R.M., Casas, M., Chakravarti, A., Chambert, K., Choudhury, K., Cichon, S., Cloninger, C.R., Collier, D.A., Cook, E.H., Coon, H., Cormand, B., Corvin, A., Coryell, W.H., Craig, D.W., Craig, I.W., Crosbie, J., Cuccaro, M.L., Curtis, D., Czamara, D., Datta, S., Dawson, G., Day, R., Geus, E.J. de, Degenhardt, F., Djurovic, S., Donohoe, G.J., Doyle, A.E., Duan, J., Dudbridge, F., Duketis, E., Ebstein, R.P., Edenberg, H.J., Elia, J., Ennis, S., Etain, B., Fanous, A., Farmer, A.E., Ferrier, I.N., Flickinger, M., Fombonne, E., Foroud, T., Frank, J., Franke, B., and et al.
- Abstract
Item does not contain fulltext, Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 +/- 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 +/- 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 +/- 0.06 s.e.), and ADHD and major depressive disorder (0.32 +/- 0.07 s.e.), low between schizophrenia and ASD (0.16 +/- 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
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- 2013
46. Analysis of Rare, Exonic Variation amongst Subjects with Autism Spectrum Disorders and Population Controls
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Liu, L, Sabo, A, Neale, BM, Nagaswamy, U, Stevens, C, Lim, E, Bodea, CA, Muzny, D, Reid, JG, Banks, E, Coon, H, DePristo, M, Dinh, H, Fennel, T, Flannick, J, Gabriel, S, Garimella, K, Gross, S, Hawes, A, Lewis, L, Makarov, V, Maguire, J, Newsham, I, Poplin, R, Ripke, S, Shakir, K, Samocha, KE, Wu, Y, Boerwinkle, E, Buxbaum, JD, Cook, EH, Devlin, B, Schellenberg, GD, Sutcliffe, JS, Daly, MJ, Gibbs, RA, Roeder, K, Liu, L, Sabo, A, Neale, BM, Nagaswamy, U, Stevens, C, Lim, E, Bodea, CA, Muzny, D, Reid, JG, Banks, E, Coon, H, DePristo, M, Dinh, H, Fennel, T, Flannick, J, Gabriel, S, Garimella, K, Gross, S, Hawes, A, Lewis, L, Makarov, V, Maguire, J, Newsham, I, Poplin, R, Ripke, S, Shakir, K, Samocha, KE, Wu, Y, Boerwinkle, E, Buxbaum, JD, Cook, EH, Devlin, B, Schellenberg, GD, Sutcliffe, JS, Daly, MJ, Gibbs, RA, and Roeder, K
- Abstract
We report on results from whole-exome sequencing (WES) of 1,039 subjects diagnosed with autism spectrum disorders (ASD) and 870 controls selected from the NIMH repository to be of similar ancestry to cases. The WES data came from two centers using different methods to produce sequence and to call variants from it. Therefore, an initial goal was to ensure the distribution of rare variation was similar for data from different centers. This proved straightforward by filtering called variants by fraction of missing data, read depth, and balance of alternative to reference reads. Results were evaluated using seven samples sequenced at both centers and by results from the association study. Next we addressed how the data and/or results from the centers should be combined. Gene-based analyses of association was an obvious choice, but should statistics for association be combined across centers (meta-analysis) or should data be combined and then analyzed (mega-analysis)? Because of the nature of many gene-based tests, we showed by theory and simulations that mega-analysis has better power than meta-analysis. Finally, before analyzing the data for association, we explored the impact of population structure on rare variant analysis in these data. Like other recent studies, we found evidence that population structure can confound case-control studies by the clustering of rare variants in ancestry space; yet, unlike some recent studies, for these data we found that principal component-based analyses were sufficient to control for ancestry and produce test statistics with appropriate distributions. After using a variety of gene-based tests and both meta- and mega-analysis, we found no new risk genes for ASD in this sample. Our results suggest that standard gene-based tests will require much larger samples of cases and controls before being effective for gene discovery, even for a disorder like ASD. © 2013 Liu et al.
- Published
- 2013
47. An infective agent from Naegleria amebae induces delaved cell death in mammalian cells
- Author
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Lai, E. Y., Coon, H. G., Fulton, C., MINUCCI, Sergio, Lai, E. Y., Minucci, Sergio, Coon, H. G., and Fulton, C.
- Published
- 1990
48. Genome-wide analyses of exonic copy number variants in a family-based study point to novel autism susceptibility genes
- Author
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Bucan, M, Abrahams, BS, Wang, K, Glessner, JT, Herman, EI, Sonnenblick, LI, Alvarez Retuerto, AI, Imielinski, M, Hadley, D, Bradfield, JP, Kim, C, Gidaya, NB, Lindquist, I, Hutman, T, Sigman, M, Kustanovich, V, Lajonchere, CM, Singleton, A, Kim, J, Wassink, TH, McMahon, WM, Owley, T, Sweeney, JA, Coon, H, Nurnberger, JI, Li, M, Cantor, RM, Minshew, NJ, Sutcliffe, JS, Cook, EH, Dawson, G, Buxbaum, JD, Grant, SFA, Schellenberg, GD, Geschwind, DH, Hakonarson, H, Bucan, M, Abrahams, BS, Wang, K, Glessner, JT, Herman, EI, Sonnenblick, LI, Alvarez Retuerto, AI, Imielinski, M, Hadley, D, Bradfield, JP, Kim, C, Gidaya, NB, Lindquist, I, Hutman, T, Sigman, M, Kustanovich, V, Lajonchere, CM, Singleton, A, Kim, J, Wassink, TH, McMahon, WM, Owley, T, Sweeney, JA, Coon, H, Nurnberger, JI, Li, M, Cantor, RM, Minshew, NJ, Sutcliffe, JS, Cook, EH, Dawson, G, Buxbaum, JD, Grant, SFA, Schellenberg, GD, Geschwind, DH, and Hakonarson, H
- Abstract
The genetics underlying the autism spectrum disorders (ASDs) is complex and remains poorly understood. Previous work has demonstrated an important role for structural variation in a subset of cases, but has lacked the resolution necessary to move beyond detection of large regions of potential interest to identification of individual genes. To pinpoint genes likely to contribute to ASD etiology, we performed high density genotyping in 912 multiplex families from the Autism Genetics Resource Exchange (AGRE) collection and contrasted results to those obtained for 1,488 healthy controls. Through prioritization of exonic deletions (eDels), exonic duplications (eDups), and whole gene duplication events (gDups), we identified more than 150 loci harboring rare variants in multiple unrelated probands, but no controls. Importantly, 27 of these were confirmed on examination of an independent replication cohort comprised of 859 cases and an additional 1,051 controls. Rare variants at known loci, including exonic deletions at NRXN1 and whole gene duplications encompassing UBE3A and several other genes in the 15q11-q13 region, were observed in the course of these analyses. Strong support was likewise observed for previously unreported genes such as BZRAP1, an adaptor molecule known to regulate synaptic transmission, with eDels or eDups observed in twelve unrelated cases but no controls (p = 2.3×10-5). Less is known about MDGA2, likewise observed to be case-specific (p = 1.3×10-4). But, it is notable that the encoded protein shows an unexpectedly high similarity to Contactin 4 (BLAST E-value = 3×10-39), which has also been linked to disease. That hundreds of distinct rare variants were each seen only once further highlights complexity in the ASDs and points to the continued need for larger cohorts.
- Published
- 2009
49. Genetic risk factors in two Utah pedigrees at high risk for suicide
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Coon, H, primary, Darlington, T, additional, Pimentel, R, additional, Smith, K R, additional, Huff, C D, additional, Hu, H, additional, Jerominski, L, additional, Hansen, J, additional, Klein, M, additional, Callor, W B, additional, Byrd, J, additional, Bakian, A, additional, Crowell, S E, additional, McMahon, W M, additional, Rajamanickam, V, additional, Camp, N J, additional, McGlade, E, additional, Yurgelun-Todd, D, additional, Grey, T, additional, and Gray, D, additional
- Published
- 2013
- Full Text
- View/download PDF
50. Effect of Neuronal Nicotinic Acetylcholine Receptor Genes (CHRN) on Longitudinal Cigarettes per Day in Adolescents and Young Adults
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Cannon, D. S., primary, Mermelstein, R. J., additional, Hedeker, D., additional, Coon, H., additional, Cook, E. H., additional, McMahon, W. M., additional, Hamil, C., additional, Dunn, D., additional, and Weiss, R. B., additional
- Published
- 2013
- Full Text
- View/download PDF
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