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1. A genome-wide association study of autism using the Simons simplex collection: Does reducing phenotypic heterogeneity in autism increase genetic homogeneity?

Author

Chaste, P, Klei, L, Sanders, SJ, Hus, V, Murtha, MT, Lowe, JK, Willsey, AJ, Moreno-De-Luca, D, Yu, TW, Fombonne, E, Geschwind, D, Grice, DE, Ledbetter, DH, Mane, SM, Martin, DM, Morrow, EM, Walsh, CA, Sutcliffe, JS, Lese Martin, C, Beaudet, AL, Lord, C, State, MW, Cook, EH, and Devlin, B

Subjects
Psychiatry, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

Background Phenotypic heterogeneity in autism has long been conjectured to be a major hindrance to the discovery of genetic risk factors, leading to numerous attempts to stratify children based on phenotype to increase power of discovery studies. This approach, however, is based on the hypothesis that phenotypic heterogeneity closely maps to genetic variation, which has not been tested. Our study examines the impact of subphenotyping of a well-characterized autism spectrum disorder (ASD) sample on genetic homogeneity and the ability to discover common genetic variants conferring liability to ASD. Methods Genome-wide genotypic data of 2576 families from the Simons Simplex Collection were analyzed in the overall sample and phenotypic subgroups defined on the basis of diagnosis, IQ, and symptom profiles. We conducted a family-based association study, as well as estimating heritability and evaluating allele scores for each phenotypic subgroup. Results Association analyses revealed no genome-wide significant association signal. Subphenotyping did not increase power substantially. Moreover, allele scores built from the most associated single nucleotide polymorphisms, based on the odds ratio in the full sample, predicted case status in subsets of the sample equally well and heritability estimates were very similar for all subgroups. Conclusions In genome-wide association analysis of the Simons Simplex Collection sample, reducing phenotypic heterogeneity had at most a modest impact on genetic homogeneity. Our results are based on a relatively small sample, one with greater homogeneity than the entire population; if they apply more broadly, they imply that analysis of subphenotypes is not a productive path forward for discovering genetic risk variants in ASD.

Published
2015

2. Mapping autism risk loci using genetic linkage and chromosomal rearrangements

Author

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
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3. Mapping autism risk loci using genetic linkage and chromosomal rearrangements

Author

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

7. Mapping autism risk loci using genetic linkage and chromosomal rearrangements

Author

Peter, Szatmari, Andrew D, Paterson, Lonnie, Zwaigenbaum, Wendy, Roberts, Jessica, Brian, Xiao-Qing, Liu, John B, Vincent, Jennifer L, Skaug, Ann P, Thompson, Lili, Senman, Lars, Feuk, Cheng, Qian, Susan E, Bryson, Marshall B, Jones, Christian R, Marshall, Stephen W, Scherer, Veronica J, Vieland, Christopher, Bartlett, La Vonne, Mangin, Rhinda, Goedken, Alberto, Segre, Margaret A, Pericak-Vance, Michael L, Cuccaro, John R, Gilbert, Harry H, Wright, Ruth K, Abramson, Catalina, Betancur, Thomas, Bourgeron, Christopher, Gillberg, Marion, Leboyer, Joseph D, Buxbaum, Kenneth L, Davis, Eric, Hollander, Jeremy M, Silverman, Joachim, Hallmayer, Linda, Lotspeich, James S, Sutcliffe, Jonathan L, Haines, Susan E, Folstein, Joseph, Piven, Thomas H, Wassink, Val, Sheffield, Daniel H, Geschwind, Maja, Bucan, W Ted, Brown, Rita M, Cantor, John N, Constantino, T Conrad, Gilliam, Martha, Herbert, Clara, Lajonchere, David H, Ledbetter, Christa, Lese-Martin, Janet, Miller, Stan, Nelson, Carol A, Samango-Sprouse, Sarah, Spence, Matthew, State, Rudolph E, Tanzi, Hilary, Coon, Geraldine, Dawson, Bernie, Devlin, Annette, Estes, Pamela, Flodman, Lambertus, Klei, William M, McMahon, Nancy, Minshew, Jeff, Munson, Elena, Korvatska, Patricia M, Rodier, Gerard D, Schellenberg, Moyra, Smith, M Anne, Spence, Chris, Stodgell, Ping Guo, Tepper, Ellen M, Wijsman, Chang-En, Yu, Bernadette, Rogé, Carine, Mantoulan, Kerstin, Wittemeyer, Annemarie, Poustka, Bärbel, Felder, Sabine M, Klauck, Claudia, Schuster, Fritz, Poustka, Sven, Bölte, Sabine, Feineis-Matthews, Evelyn, Herbrecht, Gabi, Schmötzer, John, Tsiantis, Katerina, Papanikolaou, Elena, Maestrini, Elena, Bacchelli, Francesca, Blasi, Simona, Carone, Claudio, Toma, Herman, Van Engeland, Maretha, de Jonge, Chantal, Kemner, Frederieke, Koop, Frederike, Koop, Marjolein, Langemeijer, Marjolijn, Langemeijer, Channa, Hijmans, Channa, Hijimans, Wouter G, Staal, Gillian, Baird, Patrick F, Bolton, Michael L, Rutter, Emma, Weisblatt, Jonathan, Green, Catherine, Aldred, Julie-Anne, Wilkinson, Andrew, Pickles, Ann, Le Couteur, Tom, Berney, Helen, McConachie, Anthony J, Bailey, Kostas, Francis, Gemma, Honeyman, Aislinn, Hutchinson, Jeremy R, Parr, Simon, Wallace, Anthony P, Monaco, Gabrielle, Barnby, Kazuhiro, Kobayashi, Janine A, Lamb, Ines, Sousa, Nuala, Sykes, Edwin H, Cook, Stephen J, Guter, Bennett L, Leventhal, Jeff, Salt, Catherine, Lord, Christina, Corsello, Vanessa, Hus, Daniel E, Weeks, Fred, Volkmar, Maïté, Tauber, Eric, Fombonne, Andy, Shih, Kacie J, Meyer, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, The Centre for Applied Genomics, Toronto, University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Department of Pediatrics, University of Alberta, Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Department of Psychiatry, University of Toronto, Departments of Pediatrics and Psychology, Dalhousie University [Halifax], Department of Neural and Behavioral Sciences, Pennsylvania State University (Penn State), Penn State System-Penn State System, Department of Molecular Genetics [Toronto], Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Department of Pathology and Laboratory Medicine, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Computer Science, University of Iowa [Iowa City], John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], W.S. Hall Psychiatric Institute, University of South Carolina [Columbia], Physiopathologie des Maladies du Système Nerveux Central, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Gillberg Neuropsychiatry Centre [Göteborg, Sueden], Institute of Neuroscience and Physiology [Göteborg]-University of Gothenburg (GU), Institute of Child Health, University College of London [London] (UCL), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Friedman Brain Institute, Mount Sinai, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Neuroscience, PennState Meteorology Department, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Department of Psychiatry and Behavioral Sciences [Stanford], Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Johns Hopkins University (JHU), Carolina Institute for Developmental Disabilities, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], University of Iowa [Iowa City]-Howard Hughes Medical-Institute Carver College of Medicine, Department of Neurology, UCLA School of Medicine, Department of Genetics, University of Pennsylvania [Philadelphia]-School of Medicine, N.Y.S. Institute for Basic Research in Developmental Disabilities, Department of Human Genetics, UCLA, University of California [Los Angeles] (UCLA), University of California-University of California-Semel Institute, Washington University in Saint Louis (WUSTL), University of Chicago, Harvard Medical School [Boston] (HMS), Autism Genetic Resource Exchange, Autism Speaks, Emory University [Atlanta, GA], Developmental Brain and Behaviour Unit, University of Southampton, Cure Autism Now, Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Children's National Medical Center, The George Washington University (GW), Massachusetts General Hospital, Massachusetts General Hospital [Boston], Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], Autism Speaks and the Department of Psychiatry, Department of Speech and Hearing Sciences [Washington], University of Washington [Seattle], University of California [Irvine] (UCI), University of California-University of California, Department of Psychiatry and Behavioral Sciences, Department of OB/GYN, University of Rochester Medical Center, Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Department of Epidemiology, University of Pittsburgh (PITT), Departments of Biostatistics and Medicine, Department of Medicine, Octogone Unité de Recherche Interdisciplinaire (Octogone), Université Toulouse - Jean Jaurès (UT2J), Centre de Référence du Syndrome de Prader-Willi, CHU Toulouse [Toulouse], University of Oxford [Oxford]-Warneford Hospital, Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, University Department of Child Psychiatry, National and Kapodistrian University of Athens (NKUA), Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Medical Genetics Laboratory, Policlinico S. Orsola-Malpighi, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Department of Neurocognition, Maastricht University [Maastricht], Newcomen Centre, Guy's Hospital [London], Department of Child and Adolescent Psychiatry, Institute of psychiatry, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), The Institute of Psychiatry-King‘s College London, University of Cambridge Clinical School, University of Cambridge [UK] (CAM), Manchester Academic Health Sciences Centre, Department of Medicine, Manchester, University of Manchester [Manchester]-School of Epidemiology and Health Science, Newcastle University [Newcastle]-Institute of Health & Society (Child & Adolescent Psychiatry), Child and Adolescent Mental Health, Newcastle University [Newcastle], Institutes of Neuroscience and Health and Society, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Centre for Integrated Genomic Medical Research, Manchester, University of Manchester [Manchester], Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Institute for Juvenile Research, University of Illinois [Chicago] (UIC), Department of Disability and Human Development, New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), Autism and Communicative Disorders Centre, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Human Genetics Department, SFU Discrete Mathematics Group (SFU-DMG), Simon Fraser University (SFU.ca), Child Study Centre, Yale University School of Medicine, Centre d'Endocrinologie, Maladies Osseuses, Génétique et Gynécologie Médicale, Hôpital des Enfants, CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Department of Child Psychiatry, McGill University = Université McGill [Montréal, Canada]-Montreal Children's Hospital, McGill University Health Center [Montreal] (MUHC)-McGill University Health Center [Montreal] (MUHC), Scientific Affairs, Autism Genome Project Consortium, RS: FPN CN II, Cognitive Neuroscience, MUMC+: HZC Klinische Neurofysiologie (5), The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, University of California (UC)-University of California (UC)-Semel Institute, University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), King‘s College London-The Institute of Psychiatry, Yale School of Medicine [New Haven, Connecticut] (YSM), Betancur, Catalina, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania-School of Medicine, University of Pennsylvania, Pôle Enfants [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), University of Oxford-Warneford Hospital, University of Oxford, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université de Toulouse (UT)-Université de Toulouse (UT), 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, Roge B, Mantoulan C, Wittemeyer K, Poustka A, Felder B, Klauck SM, Schuster C, Poustka F, Bolte S, Feineis-Matthews S, Herbrecht E, Schmotzer 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 WG, Baird G, Bolton PF, Rutter ML, Weisblatt E, Green J, Aldred C, Wilkinson JA, Pickles A, Le Couteur A, Berney T, McConachie H, Bailey AJ, Francis K, Honeyman G, Hutchinson A, Parr JR, Wallace S, Monaco AP, Barnby G, Kobayashi K, Lamb JA, Sousa I, Sykes N, Cook EH, Guter SJ, Leventhal BL, Salt J, Lord C, Corsello C, Hus V, Weeks DE, Volkmar F, Tauber M, Fombonne E, and Shih A.

Subjects
Male, genetic structures, Genetic Linkage, Neurexin, [SDV.GEN] Life Sciences [q-bio]/Genetics, 0302 clinical medicine, Risk Factors, MESH: Risk Factors, Heritability of autism, Copy-number variation, MESH: Genetic Variation, Genetics, 0303 health sciences, medicine.diagnostic_test, MESH: Genetic Testing, MESH: Genetic Predisposition to Disease, Chromosome Mapping, 3. Good health, Female, MESH: Genetic Linkage, MESH: Autistic Disorder, Epigenetics of autism, Biology, Article, 03 medical and health sciences, Genetic linkage, mental disorders, medicine, Humans, MESH: Chromosome Aberrations, Family, Genetic Predisposition to Disease, Genetic Testing, Autistic Disorder, MESH: Family, 030304 developmental biology, Genetic testing, Chromosome Aberrations, [SDV.GEN]Life Sciences [q-bio]/Genetics, MESH: Humans, Genetic Variation, medicine.disease, Genetic architecture, MESH: Male, MESH: Lod Score, Autism, Lod Score, MESH: Chromosome Mapping, MESH: Female, 030217 neurology & neurosurgery
Abstract

International audience; 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 1,181 [corrected] 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.

Published
2007
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8. Adjusting head circumference for covariates in autism: clinical correlates of a highly heritable continuous trait.

Author

Chaste P, Klei L, Sanders SJ, Murtha MT, Hus V, Lowe JK, Willsey AJ, Moreno-De-Luca D, Yu TW, Fombonne E, Geschwind D, Grice DE, Ledbetter DH, Lord C, Mane SM, Lese Martin C, Martin DM, Morrow EM, Walsh CA, Sutcliffe JS, State MW, Devlin B, Cook EH Jr, and Kim SJ

Subjects
Adult, Autistic Disorder diagnosis, Autistic Disorder genetics, Body Weights and Measures, Child, Family, Female, Humans, Intelligence physiology, Male, Autistic Disorder pathology, Head pathology, Quantitative Trait, Heritable
Abstract

Background: Brain development follows a different trajectory in children with autism spectrum disorders (ASD) than in typically developing children. A proxy for neurodevelopment could be head circumference (HC), but studies assessing HC and its clinical correlates in ASD have been inconsistent. This study investigates HC and clinical correlates in the Simons Simplex Collection cohort., Methods: We used a mixed linear model to estimate effects of covariates and the deviation from the expected HC given parental HC (genetic deviation). After excluding individuals with incomplete data, 7225 individuals in 1891 families remained for analysis. We examined the relationship between HC/genetic deviation of HC and clinical parameters., Results: Gender, age, height, weight, genetic ancestry, and ASD status were significant predictors of HC (estimate of the ASD effect = .2 cm). HC was approximately normally distributed in probands and unaffected relatives, with only a few outliers. Genetic deviation of HC was also normally distributed, consistent with a random sampling of parental genes. Whereas larger HC than expected was associated with ASD symptom severity and regression, IQ decreased with the absolute value of the genetic deviation of HC., Conclusions: Measured against expected values derived from covariates of ASD subjects, statistical outliers for HC were uncommon. HC is a strongly heritable trait, and population norms for HC would be far more accurate if covariates including genetic ancestry, height, and age were taken into account. The association of diminishing IQ with absolute deviation from predicted HC values suggests HC could reflect subtle underlying brain development and warrants further investigation., (© 2013 Society of Biological Psychiatry.)

Published
2013
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9. 15q overgrowth syndrome: a newly recognized phenotype associated with overgrowth, learning difficulties, characteristic facial appearance, renal anomalies and increased dosage of distal chromosome 15q.

Author

Tatton-Brown K, Pilz DT, Orstavik KH, Patton M, Barber JC, Collinson MN, Maloney VK, Huang S, Crolla JA, Marks K, Ormerod E, Thompson P, Nawaz Z, Lese-Martin C, Tomkins S, Waits P, Rahman N, and McEntagart M

Subjects
Aneuploidy, Body Size, Face abnormalities, Family Health, Female, Gene Dosage, Humans, Kidney Diseases, Learning Disabilities, Male, Pedigree, Phenotype, Syndrome, Abnormalities, Multiple genetics, Chromosome Aberrations, Chromosomes, Human, Pair 15
Abstract

Trisomy and tetrasomy of distal chromosome 15q have rarely been reported. Although most of the described patients have some learning difficulties and are overgrown, the phenotype associated with distal trisomy/tetrasomy 15q is uncertain due to the small numbers of reported cases and the common co-occurrence of additional chromosome deletions in many patients with trisomy 15q. We present five individuals with overgrowth, learning difficulties and increased dosage of distal 15q. Partial trisomy 15q was identified in four of these cases. Two were generated through recombination of a parental pericentric inversion and two were generated through malsegregation of a maternal balanced 14;15 reciprocal translocation. In all four cases the trisomy can be considered "pure" as the 14p and 15p monosomies will exert no phenotypic effect. Partial tetrasomy 15q, as the result of an analphoid supernumerary chromosome derived from an inverted duplication of distal 15q, was identified in the fifth patient. In addition to the overgrowth and learning difficulties, all five had a characteristic facial appearance and three had renal anomalies. The gestalt consists of a long, thin face with a prominent chin and nose. Renal anomalies included renal agenesis, horseshoe kidney, and hydronephrosis. We provide further support for a distinct "15q overgrowth syndrome" caused by either trisomy or tetrasomy resulting in increased dosage of distal 15q. In addition we propose that renal anomalies and a distinctive facial appearance be considered major features of this condition., ((c) 2009 Wiley-Liss, Inc.)

Published
2009
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10. Strong association of de novo copy number mutations with autism.

Author

Sebat J, Lakshmi B, Malhotra D, Troge J, Lese-Martin C, Walsh T, Yamrom B, Yoon S, Krasnitz A, Kendall J, Leotta A, Pai D, Zhang R, Lee YH, Hicks J, Spence SJ, Lee AT, Puura K, Lehtimäki T, Ledbetter D, Gregersen PK, Bregman J, Sutcliffe JS, Jobanputra V, Chung W, Warburton D, King MC, Skuse D, Geschwind DH, Gilliam TC, Ye K, and Wigler M

Subjects
Asperger Syndrome genetics, Case-Control Studies, Child, Cytogenetic Analysis, Female, Gene Deletion, Gene Duplication, Genetic Predisposition to Disease, Germ-Line Mutation, Humans, In Situ Hybridization, Fluorescence, Male, Markov Chains, Microsatellite Repeats, Nucleic Acid Hybridization, Oligonucleotide Array Sequence Analysis, Parents, Siblings, Autistic Disorder genetics, Gene Dosage, Genome, Human, Mutation
Abstract

We tested the hypothesis that de novo copy number variation (CNV) is associated with autism spectrum disorders (ASDs). We performed comparative genomic hybridization (CGH) on the genomic DNA of patients and unaffected subjects to detect copy number variants not present in their respective parents. Candidate genomic regions were validated by higher-resolution CGH, paternity testing, cytogenetics, fluorescence in situ hybridization, and microsatellite genotyping. Confirmed de novo CNVs were significantly associated with autism (P = 0.0005). Such CNVs were identified in 12 out of 118 (10%) of patients with sporadic autism, in 2 out of 77 (3%) of patients with an affected first-degree relative, and in 2 out of 196 (1%) of controls. Most de novo CNVs were smaller than microscopic resolution. Affected genomic regions were highly heterogeneous and included mutations of single genes. These findings establish de novo germline mutation as a more significant risk factor for ASD than previously recognized.

Published
2007
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11. Mapping autism risk loci using genetic linkage and chromosomal rearrangements.

Author

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, Bacchelli E, Blasi F, Carone S, Toma C, Van Engeland H, de Jonge M, Kemner C, Koop F, Langemeijer M, Hijmans C, Staal WG, Baird G, Bolton PF, Rutter ML, Weisblatt E, Green J, Aldred C, Wilkinson JA, Pickles A, Le Couteur A, Berney T, McConachie H, Bailey AJ, Francis K, Honeyman G, Hutchinson A, Parr JR, Wallace S, Monaco AP, Barnby G, Kobayashi K, Lamb JA, Sousa I, Sykes N, Cook EH, Guter SJ, Leventhal BL, Salt J, Lord C, Corsello C, Hus V, Weeks DE, Volkmar F, Tauber M, Fombonne E, Shih A, and Meyer KJ

Subjects
Autistic Disorder diagnosis, Family, Female, Genetic Variation, Humans, Lod Score, Male, Risk Factors, Autistic Disorder genetics, Chromosome Aberrations, Chromosome Mapping, Genetic Linkage, Genetic Predisposition to Disease, Genetic Testing methods
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 1,181 [corrected] 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.

Published
2007
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12. Detection and calibration of microdeletions and microduplications by array-based comparative genomic hybridization and its applicability to clinical genetic testing.

Author

Wong A, Lese Martin C, Heretis K, Ruffalo T, Wilber K, King W, and Ledbetter DH

Subjects
Evaluation Studies as Topic, Humans, In Situ Hybridization, Fluorescence, Nucleic Acid Hybridization methods, Retrospective Studies, Chromosome Aberrations statistics & numerical data, Cytogenetic Analysis methods, Genetic Testing methods, Intellectual Disability genetics, Telomere genetics
Abstract

Purpose: Genome-wide telomere screening by fluorescence in situ hybridization (FISH) has revealed that approximately 6% of unexplained mental retardation is due to submicroscopic telomere imbalances. However, the use of FISH for telomere screening is labor intensive and time consuming, given that 41 telomeres are interrogated. We have evaluated the use of array-based Comparative Genomic Hybridization (aCGH) as a more efficient tool for identifying telomere rearrangements., Methods: In this study, 102 individuals with unexplained mental retardation, with either normal or abnormal FISH results, were selected for a blinded retrospective study using aCGH. Results between the two methodologies were compared to ascertain the ability of aCGH to be used in a clinical diagnostics setting., Results: We detected 100% of all imbalances previously identified by FISH (n = 17) and identified two additional abnormalities, a 10q telomere duplication and an interstitial duplication of 22q11. Interphase FISH analysis verified all abnormal array results. We also demonstrated that aCGH can accurately calibrate the size of telomere imbalances by using an array with "molecular rulers" for the telomeric regions of 1p, 16p, 17p, and 22q., Conclusion: This study demonstrates that aCGH is an equivalent methodology to telomere FISH for detecting submicroscopic deletions. In addition, small duplications that are not easily visible by FISH can be accurately detected using aCGH. Because aCGH allows simultaneous interrogation of hundreds to thousands of DNA probes and is more amenable to automation, it offers an efficient and high-throughput alternative for detecting and calibrating unbalanced rearrangements, both of the telomere region, as well as other genomic locations.

Published
2005
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13. The dynamic nature and evolutionary history of subtelomeric and pericentromeric regions.

Author

Mewborn SK, Lese Martin C, and Ledbetter DH

Subjects
Animals, Humans, Polymorphism, Genetic genetics, Centromere genetics, Evolution, Molecular, Telomere genetics
Abstract

The organization and evolution of the subtelomeric and pericentromeric regions of human chromosomes exhibit unique characteristics compared to other regions of the genome. As shown in Fig. 1 the functional elements of the centromere and telomere are comprised of highly repetitive DNA sequences, which are responsible for carrying out the main mechanistic duties of these two regions: chromosome segregation and end replication, respectively. The nature of the repeats in these two regions and their function have been reviewed separately and, therefore, will not be discussed in more detail here (Sullivan et al., 1996, 2001; McEachern et al., 2000; Henikoff et al., 2001). Adjacent to these functional element regions, the centromere and telomere regions share an interesting architecture as depicted in Fig. 1. For both pericentromeric and subtelomeric regions, blocks of recent genomic duplications form a zone of shared sequence homologies between certain subsets of human chromosomes. The dynamic nature and evolutionary history of these regions and the unique DNA sequence adjacent to them will be the focus of this review., (Copyright (c) 2005 S. Karger AG, Basel.)

Published
2005
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14. Comparative genomic hybridization-array analysis enhances the detection of aneuploidies and submicroscopic imbalances in spontaneous miscarriages.

Author

Schaeffer AJ, Chung J, Heretis K, Wong A, Ledbetter DH, and Lese Martin C

Subjects
Chromosome Banding, Chromosomes, Human genetics, Female, Gene Dosage, Humans, In Situ Hybridization, Fluorescence, Karyotyping, Pregnancy, Retrospective Studies, Trisomy, Abortion, Spontaneous genetics, Aneuploidy, Chromosome Aberrations, Nucleic Acid Hybridization, Oligonucleotide Array Sequence Analysis, Prenatal Diagnosis
Abstract

Miscarriage is a condition that affects 10%-15% of all clinically recognized pregnancies, most of which occur in the first trimester. Approximately 50% of first-trimester miscarriages result from fetal chromosome abnormalities. Currently, G-banded chromosome analysis is used to determine if large-scale genetic imbalances are the cause of these pregnancy losses. This technique relies on the culture of cells derived from the fetus, a technique that has many limitations, including a high rate of culture failure, maternal overgrowth of fetal cells, and poor chromosome morphology. Comparative genomic hybridization (CGH)-array analysis is a powerful new molecular cytogenetic technique that allows genomewide analysis of DNA copy number. By hybridizing patient DNA and normal reference DNA to arrays of genomic clones, unbalanced gains or losses of genetic material across the genome can be detected. In this study, 41 product-of-conception (POC) samples, which were previously analyzed by G-banding, were tested using CGH arrays to determine not only if the array could identify all reported abnormalities, but also whether any previously undetected genomic imbalances would be discovered. The array methodology detected all abnormalities as reported by G-banding analysis and revealed new abnormalities in 4/41 (9.8%) cases. Of those, one trisomy 21 POC was also mosaic for trisomy 20, one had a duplication of the 10q telomere region, one had an interstitial deletion of chromosome 9p, and the fourth had an interstitial duplication of the Prader-Willi/Angelman syndrome region on chromosome 15q, which, if maternally inherited, has been implicated in autism. This retrospective study demonstrates that the DNA-based CGH-array technology overcomes many of the limitations of routine cytogenetic analysis of POC samples while enhancing the detection of fetal chromosome aberrations.

Published
2004
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