205 results on '"Constantino JN"'
Search Results
2. The female protective effect in autism spectrum disorder is not mediated by a single genetic locus
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Sanders, Stephan, Gockley, J, Willsey, AJ, Dong, S, Dougherty, JD, Constantino, JN, and Sanders, SJ
- Abstract
© 2015 Gockley et al.; licensee BioMed Central.Background: A 4:1 male to female sex bias has consistently been observed in autism spectrum disorder (ASD). Epidemiological and genetic studies suggest a female protective effect (FPE) may account for part of
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- 2015
3. Mapping autism risk loci using genetic linkage and chromosomal rearrangements
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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
4. Co-occurrence of motor problems and autistic symptoms in attention-deficit/hyperactivity disorder.
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Reiersen AM, Constantino JN, Todd RD, Reiersen, Angela M, Constantino, John N, and Todd, Richard D
- Abstract
Objective: To investigate the relation between parent reports of motor problems and clinically significant autistic symptoms in children with and without attention-deficit/hyperactivity disorder (ADHD).Method: Subjects were male (n = 521) and female (n = 330) twins from an epidemiological study of ADHD, ages 7 to 19 years at assessment using the Child Behavior Checklist and semistructured psychiatric diagnostic interviews. Parent-rated Social Responsiveness Scale questionnaires were returned for 62% of 1,647 individuals who participated in interviews. After exclusion of subjects with incomplete data or evidence of mental retardation, 851 subjects (52%) were available for the present study analysis. Each subject was classified by DSM-IV ADHD subtype and assigned to one of seven population-defined ADHD subtypes based on latent class analysis of DSM-IV ADHD symptoms. Within each ADHD subtype, we examined the relation between Child Behavior Checklist motor problem endorsement and elevated autistic symptoms on the Social Responsiveness Scale.Results: Motor problems and high levels of autistic traits were most common in individuals with combined-type ADHD. Within each of the clinically relevant DSM-IV and latent class ADHD subtypes, individuals with the combination of motor problems and ADHD were more likely to have high levels of autistic traits than those with ADHD alone.Conclusions: Children with the combination of ADHD and parent-reported motor coordination deficits have elevated levels of autistic symptoms. Targeted treatment and prevention interventions may be warranted. The exclusion criteria for DSM-IV ADHD should be revised to reflect these population-based findings. [ABSTRACT FROM AUTHOR]- Published
- 2008
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5. Lack of evidence for increased genetic loading for autism among families of affected females: a replication from family history data in two large samples.
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Goin-Kochel RP, Abbacchi A, Constantino JN, and Autism Genetic Resource Exchange Consortium
- Abstract
Both the broad and narrow phenotypes of autism have been consistently observed in family members of affected individuals. Additionally, autism spectrum disorders (ASDs) present four times more often in males than in females, for reasons that are currently unknown. In this study, we examined whether there were differences in familial loading of ASD among families of male versus female probands. Analyses were conducted with existing data from two distinct samples. The first sample contained 417 individuals with autism and Asperger's disorder and included information on the ASD diagnoses of their first- and second-degree relatives. The second sample consisted of 405 sibships participating in the Autism Genetic Resource Exchange, of which one or more siblings had an ASD diagnosis. Results from both samples did not suggest significant differences in the prevalence of ASD among relatives of affected males versus females. [ABSTRACT FROM AUTHOR]
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- 2007
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6. Brief report: autistic traits in twins vs. non-twins-a preliminary study.
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Ho A, Todd RD, and Constantino JN
- Abstract
Previous studies have suggested that among affected sib pairs with autism there is an increase in the frequency of twins over what would be expected in comparison to the prevalence of twins in the general population. In this study we sought to determine whethersub-thresholdautistic traits were more pronounced in twins than in non-twins. The Social Responsiveness Scale (SRS) was administered in an epidemiologic twin sample (n=802) and in a separate population-based sample of non-twins ascertained from a local school district (n=255). For males (but not females), the mean SRS score was significantly higher among twins than among non-twins. As has been suggested for autism, twin status may incur increased liability to sub-threshold autistic symptomatology, particularly in males. [ABSTRACT FROM AUTHOR]
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- 2005
7. Validation of a brief quantitative measure of autistic traits: comparison of the Social Responsiveness Scale with the Autism Diagnostic Interview-Revised.
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Constantino JN, Davis SA, Todd RD, Schindler MK, Gross MM, Brophy SL, Metzger LM, Shoushtari CS, Splinter R, and Reich W
- Abstract
Studies of the broader autism phenotype, and of subtle changes in autism symptoms over time, have been compromised by a lack of established quantitative assessment tools. The Social Responsiveness Scale (SRS-formerly known as the Social Reciprocity Scale) is a new instrument that can be completed by parents and/or teachers in 15-20 minutes. We compared the SRS with the Autism Diagnostic Interview-Revised (ADI-R) in 61 child psychiatric patients. Correlations between SRS scores and ADI-R algorithm scores for DSM-IV criterion sets were on the order of 0.7. SRS scores were unrelated to I.Q. and exhibited inter-rater reliability on the order of 0.8. The SRS is a valid quantitative measure of autistic traits, feasible for use in clinical settings and for large-scale research studies of autism spectrum conditions. [ABSTRACT FROM AUTHOR]
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- 2003
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8. On the prevention of conduct disorder: a rationale for initiating preventive efforts in infancy.
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Constantino JN
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- 1992
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9. Into, and out of, the 'valley of death': research in autism spectrum disorders.
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Szatmari P, Charman T, and Constantino JN
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- 2012
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10. Effects of child maltreatment and inherited liability on antisocial development: an official records study.
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Jonson-Reid M, Presnall N, Drake B, Fox L, Bierut L, Reich W, Kane P, Todd RD, Constantino JN, Jonson-Reid, Melissa, Presnall, Ned, Drake, Brett, Fox, Louis, Bierut, Laura, Reich, Wendy, Kane, Phyllis, Todd, Richard D, and Constantino, John N
- Abstract
Objective: Evidence is steadily accumulating that a preventable environmental hazard, child maltreatment, exerts causal influences on the development of long-standing patterns of antisocial behavior in humans. The relationship between child maltreatment and antisocial outcome, however, has never previously been tested in a large-scale study in which official reports (rather than family member reports) of child abuse and neglect were incorporated, and genetic influences comprehensively controlled for.Method: We cross-referenced official report data on child maltreatment from the Missouri Division of Social Services (DSS) with behavioral data from 4,432 epidemiologically ascertained Missouri twins from the Missouri Twin Registry (MOTWIN). We performed a similar procedure for a clinically ascertained sample of singleton children ascertained from families affected by alcohol dependence participating in the Collaborative Study on the Genetics of Alcoholism (COGA; n = 428) to determine whether associations observed in the general population held true in an "enriched" sample at combined inherited and environmental risk for antisocial development.Results: For both the twin and clinical samples, the additive effects (not interactive effects) of maltreatment and inherited liability on antisocial development were confirmed and were highly statistically significant.Conclusions: Child maltreatment exhibited causal influence on antisocial outcome when controlling for inherited liability in both the general population and in a clinically ascertained sample. Official report maltreatment data represents a critical resource for resolving competing hypotheses on genetic and environmental causation of child psychopathology, and for assessing intervention outcomes in efforts to prevent antisocial development. [ABSTRACT FROM AUTHOR]- Published
- 2010
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11. AMPA receptor GluA2 subunit defects are a cause of neurodevelopmental disorders
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Vincenzo Salpietro1, 2 3, 140, Christine L. Dixon4, Hui Guo5, 6 140, Oscar D. Bello Stephanie Efthymiou 1, 4, Reza Maroofian1, Gali Heimer7, Lydie Burglen 8, Stephanie Valence 9, Erin Torti 10, Moritz Hacke11, Julia Rankin12, Huma Tariq1, Estelle Colin13, Vincent Procaccio13, Pasquale Striano2, 3, Kshitij Mankad15, Andreas Lieb 4, Sharon Chen16, Laura Pisani16, Conceicao Bettencourt 17, Roope Männikkö 1, Andreea Manole1, Alfredo Brusco 18, Enrico Grosso18, Giovanni Battista Ferrero19, Judith Armstrong-Moron20, Sophie Gueden21, Omer Bar-Yosef7, Michal Tzadok7, Kristin G. Monaghan10, Teresa Santiago-Sim10, Richard E. Person10, Megan T. Cho10, Rebecca Willaert10, Yongjin Yoo22, Jong-Hee Chae23, Yingting Quan6, Huidan Wu6, Tianyun Wang5, 6, Raphael A. Bernier24, Kun Xia6, Alyssa Blesson25, Mahim Jain25, Mohammad M. Motazacker26, Bregje Jaeger27, Amy L. Schneider 28, Katja Boysen28, Alison M. Muir 29, Candace T. Myers30, Ralitza H. Gavrilova31, Lauren Gunderson31, Laura Schultz-Rogers 31, Eric W. Klee31, David Dyment32, Matthew Osmond32, 33 34, Mara Parellada35, Cloe Llorente36, Javier Gonzalez-Peñas37, Angel Carracedo38, Arie Van Haeringen40, Claudia Ruivenkamp40, Caroline Nava41, Delphine Heron41, Rosaria Nardello42, Michele Iacomino43, Carlo Minetti2, Aldo Skabar44, Antonella Fabretto44, SYNAPS Study GroupMiquel Raspall-Chaure45, Michael Chez46, Anne Tsai47, Emily Fassi48, Marwan Shinawi48, John N. Constantino49, Rita De Zorzi50, Sara Fortuna 50, Fernando Kok51, Boris Keren41, Dominique Bonneau13, Murim Choi 22, Bruria Benzeev7, Federico Zara43, Heather C. Mefford29, Ingrid E. Scheffer28, Jill Clayton-Smith53, Alfons Macaya45, James E. Rothman4, Evan E. Eichler 5, Dimitri M. Kullmann 4, Henry Houlden 1, SYNAPS Study Group Michael G. Hanna1, Enrico Bugiardini1, Isabel Hostettler1, Benjamin O’Callaghan1, Alaa Khan1, Andrea Cortese1, Emer O’Connor1, Wai Y. Yau1, Thomas Bourinaris1, Rauan Kaiyrzhanov1, Viorica Chelban1, Monika Madej1, Maria C. Diana2, Maria S. Vari2, Marina Pedemonte2, Claudio Bruno2, Ganna Balagura3, Marcello Scala3, Chiara Fiorillo3, Lino Nobili3, Nancy T. Malintan4, Maria N. Zanetti4, Shyam S. Krishnakumar4, Gabriele Lignani4, James E. C. Jepson4, Paolo Broda43, Simona Baldassari43, Pia Rossi43, Floriana Fruscione43, Francesca Madia43, Monica Traverso43, Patrizia De-Marco43, Belen Pérez-Dueñas45, Francina Munell45, Yamna Kriouile57, Mohamed El-Khorassani57, Blagovesta Karashova58, Daniela Avdjieva58, Hadil Kathom58, Radka Tincheva58, Lionel Van-Maldergem59, Wolfgang Nachbauer60, Sylvia Boesch60, Antonella Gagliano61, Elisabetta Amadori62, Jatinder S. Goraya63, Tipu Sultan64, Salman Kirmani65, Shahnaz Ibrahim66, Farida Jan66, Jun Mine67, Selina Banu68, Pierangelo Veggiotti69, Gian V. Zuccotti69, Michel D. Ferrari70, Arn M. J. Van Den Maagdenberg70, Alberto Verrotti71, Gian L. Marseglia72, Salvatore Savasta72, Miguel A. Soler73, Carmela Scuderi74, Eugenia Borgione74, Roberto Chimenz75, Eloisa Gitto75, Valeria Dipasquale75, Alessia Sallemi75, Monica Fusco75, Caterina Cuppari75, Maria C. Cutrupi75, Martino Ruggieri76, Armando Cama77, Valeria Capra77, Niccolò E. Mencacci78, Richard Boles79, Neerja Gupta80, Madhulika Kabra80, Savvas Papacostas81, Eleni Zamba-Papanicolaou81, Efthymios Dardiotis82, Shazia Maqbool83, Nuzhat Rana84, Osama Atawneh85, Shen Y. Lim86, Farooq Shaikh87, George Koutsis88, Marianthi Breza88, Domenico A. Coviello89, Yves A. Dauvilliers90, Issam AlKhawaja91, Mariam AlKhawaja92, Fuad Al-Mutairi93, Tanya Stojkovic94, Veronica Ferrucci, Massimo Zollo, Fowzan S. Alkuraya96, Maria Kinali97, Hamed Sherifa98, Hanene Benrhouma99, Ilhem B. Y. Turki99, Meriem Tazir100, Makram Obeid101, Sophia Bakhtadze102, Nebal W. Saadi103, Maha S. Zaki104, Chahnez C. Triki105, Fabio Benfenati106, Stefano Gustincich106, Majdi Kara107, Vincenzo Belcastro108, Nicola Specchio109, Giuseppe Capovilla110, Ehsan G. Karimiani111, Ahmed M. Salih112, Njideka U. Okubadejo113, Oluwadamilola O. Ojo113, Olajumoke O. Oshinaike113, Olapeju Oguntunde113, Kolawole Wahab114, Abiodun H. Bello114, Sanni Abubakar115, Yahaya Obiabo116, Ernest Nwazor117, Oluchi Ekenze118, Uduak Williams119, Alagoma Iyagba120, Lolade Taiwo121, Morenikeji Komolafe122, Konstantin Senkevich123, Chingiz Shashkin124, Nazira Zharkynbekova125, Kairgali Koneyev126, Ganieva Manizha127, Maksud Isrofilov127, Ulviyya Guliyeva128, Kamran Salayev129, Samson Khachatryan130, Salvatore Rossi131, Gabriella Silvestri131, Nourelhoda Haridy132, Luca A. Ramenghi133, Georgia Xiromerisiou134, Emanuele David135, Mhammed Aguennouz136, Liana Fidani137, Cleanthe Spanaki138, Arianna Tucci139, University College of London [London] (UCL), Instituto Giannina Gaslini, Genoa, University of Genoa (UNIGE), University of Washington [Seattle], Institute of Neurology, Queen Square, London, King‘s College London, UCL Institute of Neurology, National Hospital for Neurology and Neurosurgery, Queen Square, London, Molecular and Clinical Sciences Institute - St George’s [London, UK] (Genetics Research Centre), University of London [London], Tel Aviv University Sackler School of Medicine [Tel Aviv, Israël], Service de génétique et embryologie médicales [CHU Trousseau], CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Neuropédiatrie [CHU Trousseau], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), GeneDx [Gaithersburg, MD, USA], Heidelberg University Hospital [Heidelberg], Royal Devon and Exeter NHS Foundation Trust [UK], Biologie Neurovasculaire et Mitochondriale Intégrée (BNMI), Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Universita degli studi di Genova, Great Ormond Street Hospital for Children [London] (GOSH), The University of Sydney, Hofstra University [Hempstead], Università degli studi di Torino (UNITO), Hospital Sant Joan de Déu [Barcelona], Safra Children's Hospital, Seoul National University Hospital, Central South University [Changsha], Kennedy Krieger Institute [Baltimore], University of Amsterdam [Amsterdam] (UvA), University of Melbourne, Mayo Clinic [Rochester], Department of Health Sciences Research [Mayo Clinic] (HSR), Mayo Clinic, University of Ottawa [Ottawa], University of British Columbia (UBC), Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Universidade de Santiago de Compostela [Spain] (USC ), Universiteit Leiden [Leiden], Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Università degli studi di Palermo - University of Palermo, University of Trieste, Universitat Autònoma de Barcelona (UAB), Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, University of California [Davis] (UC Davis), University of California-University of California, Children’s Hospital Colorado, University of Colorado Anschutz [Aurora], Washington University in Saint Louis (WUSTL), Department of Molecular and Human Genetics, Baylor College of Medicine (BCM), Baylor University-Baylor University, Department of Psychiatry, Laboratory of Molecular Biophysics, Department of Biochemistry, University of Oxford, University of Oxford [Oxford], University of São Paulo (USP), Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], Service de Pédiatrie, CHUR Poitiers, Seoul National University [Seoul] (SNU), Pediatric Neurology and Neuromuscular Diseases Unit, University of Manchester [Manchester], Yale University School of Medicine, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Salvy-Córdoba, Nathalie, Università degli studi di Genova = University of Genoa (UniGe), Tel Aviv University (TAU), Università degli studi di Torino = University of Turin (UNITO), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Trieste = University of Trieste, University of California (UC)-University of California (UC), University of Oxford, Universidade de São Paulo = University of São Paulo (USP), Yale School of Medicine [New Haven, Connecticut] (YSM), Salpietro V, Dixon CL, Guo H, Bello OD, Vandrovcova J, Efthymiou S, Maroofian R, Heimer G, Burglen L, Valence S, Torti E, Hacke M, Rankin J, Tariq H, Colin E, Procaccio V, Striano P, Mankad K, Lieb A, Chen S, Pisani L, Bettencourt C, Männikkö R, Manole A, Brusco A, Grosso E, Ferrero GB, Armstrong-Moron J, Gueden S, Bar-Yosef O, Tzadok M, Monaghan KG, Santiago-Sim T, Person RE, Cho MT, Willaert R, Yoo Y, Chae JH, Quan Y, Wu H, Wang T, Bernier RA, Xia K, Blesson A, Jain M, Motazacker MM, Jaeger B, Schneider AL, Boysen K, Muir AM, Myers CT, Gavrilova RH, Gunderson L, Schultz-Rogers L, Klee EW, Dyment D, Osmond M, Parellada M, Llorente C, Gonzalez-Peñas J, Carracedo A, Van Haeringen A, Ruivenkamp C, Nava C, Heron D, Nardello R, Iacomino M, Minetti C, Skabar A, Fabretto A, SYNAPS Study Group, Raspall-Chaure M, Chez M, Tsai A, Fassi E, Shinawi M, Constantino JN, De Zorzi R, Fortuna S, Kok F, Keren B, Bonneau D, Choi M, Benzeev B, Zara F, Mefford HC, Scheffer IE, Clayton-Smith J, Macaya A, Rothman JE, Eichler EE, Kullmann DM, Houlden H, Salpietro, Vincenzo, Dixon, Christine L, Guo, Hui, Bello, Oscar D, Vandrovcova, Jana, Efthymiou, Stephanie, Maroofian, Reza, Heimer, Gali, Burglen, Lydie, Valence, Stephanie, Torti, Erin, Hacke, Moritz, Rankin, Julia, Tariq, Huma, Colin, Estelle, Procaccio, Vincent, Striano, Pasquale, Mankad, Kshitij, Lieb, Andrea, Chen, Sharon, Pisani, Laura, Bettencourt, Conceicao, Männikkö, Roope, Manole, Andreea, Brusco, Alfredo, Grosso, Enrico, Ferrero, Giovanni Battista, Armstrong-Moron, Judith, Gueden, Sophie, Bar-Yosef, Omer, Tzadok, Michal, Monaghan, Kristin G, Santiago-Sim, Teresa, Person, Richard E, Cho, Megan T, Willaert, Rebecca, Yoo, Yongjin, Chae, Jong-Hee, Quan, Yingting, Wu, Huidan, Wang, Tianyun, Bernier, Raphael A, Xia, Kun, Blesson, Alyssa, Jain, Mahim, Motazacker, Mohammad M, Jaeger, Bregje, Schneider, Amy L, Boysen, Katja, Muir, Alison M, Myers, Candace T, Gavrilova, Ralitza H, Gunderson, Lauren, Schultz-Rogers, Laura, Klee, Eric W, Dyment, David, Osmond, Matthew, Parellada, Mara, Llorente, Cloe, Gonzalez-Peñas, Javier, Carracedo, Angel, Van Haeringen, Arie, Ruivenkamp, Claudia, Nava, Caroline, Heron, Delphine, Nardello, Rosaria, Iacomino, Michele, Minetti, Carlo, Skabar, Aldo, Fabretto, Antonella, Raspall-Chaure, Miquel, Chez, Michael, Tsai, Anne, Fassi, Emily, Shinawi, Marwan, Constantino, John N, De Zorzi, Rita, Fortuna, Sara, Kok, Fernando, Keren, Bori, Bonneau, Dominique, Choi, Murim, Benzeev, Bruria, Zara, Federico, Mefford, Heather C, Scheffer, Ingrid E, Clayton-Smith, Jill, Macaya, Alfon, Rothman, James E, Eichler, Evan E, Kullmann, Dimitri M, Houlden, Henry, Salpietro1, Vincenzo, 3, 2, Dixon4, Christine L., Guo5, Hui, 140, 6, Bello Stephanie Efthymiou 1, Oscar D., Maroofian1, Reza, Heimer7, Gali, 8, Lydie Burglen, 9, Stephanie Valence, Torti 10, Erin, Hacke11, Moritz, Rankin12, Julia, Tariq1, Huma, Colin13, Estelle, Procaccio13, Vincent, Striano2, Pasquale, Mankad15, Kshitij, 4, Andreas Lieb, Chen16, Sharon, Pisani16, Laura, Bettencourt 17, Conceicao, 1, Roope Männikkö, Manole1, Andreea, Brusco 18, Alfredo, Grosso18, Enrico, Battista Ferrero19, Giovanni, Armstrong-Moron20, Judith, Gueden21, Sophie, Bar-Yosef7, Omer, Tzadok7, Michal, Monaghan10, Kristin G., Santiago-Sim10, Teresa, Person10, Richard E., Cho10, Megan T., Willaert10, Rebecca, Yoo22, Yongjin, Chae23, Jong-Hee, Quan6, Yingting, Wu6, Huidan, Wang5, Tianyun, Bernier24, Raphael A., Xia6, Kun, Blesson25, Alyssa, Jain25, Mahim, Motazacker26, Mohammad M., Jaeger27, Bregje, Schneider 28, Amy L., Boysen28, Katja, Muir 29, Alison M., Myers30, Candace T., Gavrilova31, Ralitza H., Gunderson31, Lauren, Schultz-Rogers 31, Laura, Klee31, Eric W., Dyment32, David, Osmond32, Matthew, 34, 33, Parellada35, Mara, Llorente36, Cloe, Gonzalez-Peñas37, Javier, Carracedo38, Angel, Van Haeringen40, Arie, Ruivenkamp40, Claudia, Nava41, Caroline, Heron41, Delphine, Nardello42, Rosaria, Iacomino43, Michele, Minetti2, Carlo, Skabar44, Aldo, Fabretto44, Antonella, Study GroupMiquel Raspall-Chaure45, Synap, Chez46, Michael, Tsai47, Anne, Fassi48, Emily, Shinawi48, Marwan, Constantino49, John N., De Zorzi50, Rita, Fortuna 50, Sara, Kok51, Fernando, Keren41, Bori, Bonneau13, Dominique, Choi 22, Murim, Benzeev7, Bruria, Zara43, Federico, Mefford29, Heather C., Scheffer28, Ingrid E., Clayton-Smith53, Jill, Macaya45, Alfon, Rothman4, James E., Eichler 5, Evan E., Kullmann 4 &, Dimitri M., 1, Henry Houlden, Hanna1, SYNAPS Study Group Michael G., Bugiardini1, Enrico, Hostettler1, Isabel, O’Callaghan1, Benjamin, Khan1, Alaa, Cortese1, Andrea, O’Connor1, Emer, Yau1, Wai Y., Bourinaris1, Thoma, Kaiyrzhanov1, Rauan, Chelban1, Viorica, Madej1, Monika, Diana2, Maria C., Vari2, Maria S., Pedemonte2, Marina, Bruno2, Claudio, Balagura3, Ganna, Scala3, Marcello, Fiorillo3, Chiara, Nobili3, Lino, Malintan4, Nancy T., Zanetti4, Maria N., Krishnakumar4, Shyam S., Lignani4, Gabriele, Jepson4, James E. C., Broda43, Paolo, Baldassari43, Simona, Rossi43, Pia, Fruscione43, Floriana, Madia43, Francesca, Traverso43, Monica, De-Marco43, Patrizia, Pérez-Dueñas45, Belen, Munell45, Francina, Kriouile57, Yamna, El-Khorassani57, Mohamed, Karashova58, Blagovesta, Avdjieva58, Daniela, Kathom58, Hadil, Tincheva58, Radka, Van-Maldergem59, Lionel, Nachbauer60, Wolfgang, Boesch60, Sylvia, Gagliano61, Antonella, Amadori62, Elisabetta, Goraya63, Jatinder S., Sultan64, Tipu, Kirmani65, Salman, Ibrahim66, Shahnaz, Jan66, Farida, Mine67, Jun, Banu68, Selina, Veggiotti69, Pierangelo, Zuccotti69, Gian V., Ferrari70, Michel D., Van Den Maagdenberg70, Arn M. J., Verrotti71, Alberto, Marseglia72, Gian L., Savasta72, Salvatore, Soler73, Miguel A., Scuderi74, Carmela, Borgione74, Eugenia, Chimenz75, Roberto, Gitto75, Eloisa, Dipasquale75, Valeria, Sallemi75, Alessia, Fusco75, Monica, Cuppari75, Caterina, Cutrupi75, Maria C., Ruggieri76, Martino, Cama77, Armando, Capra77, Valeria, Mencacci78, Niccolò E., Boles79, Richard, Gupta80, Neerja, Kabra80, Madhulika, Papacostas81, Savva, Zamba-Papanicolaou81, Eleni, Dardiotis82, Efthymio, Maqbool83, Shazia, Rana84, Nuzhat, Atawneh85, Osama, Lim86, Shen Y., Shaikh87, Farooq, Koutsis88, George, Breza88, Marianthi, Coviello89, Domenico A., Dauvilliers90, Yves A., Alkhawaja91, Issam, Alkhawaja92, Mariam, Al-Mutairi93, Fuad, Stojkovic94, Tanya, Ferrucci, Veronica, Zollo, Massimo, Alkuraya96, Fowzan S., Kinali97, Maria, Sherifa98, Hamed, Benrhouma99, Hanene, Turki99, Ilhem B. Y., Tazir100, Meriem, Obeid101, Makram, Bakhtadze102, Sophia, Saadi103, Nebal W., Zaki104, Maha S., Triki105, Chahnez C., Benfenati106, Fabio, Gustincich106, Stefano, Kara107, Majdi, Belcastro108, Vincenzo, Specchio109, Nicola, Capovilla110, Giuseppe, Karimiani111, Ehsan G., Salih112, Ahmed M., Okubadejo113, Njideka U., Ojo113, Oluwadamilola O., Oshinaike113, Olajumoke O., Oguntunde113, Olapeju, Wahab114, Kolawole, Bello114, Abiodun H., Abubakar115, Sanni, Obiabo116, Yahaya, Nwazor117, Ernest, Ekenze118, Oluchi, Williams119, Uduak, Iyagba120, Alagoma, Taiwo121, Lolade, Komolafe122, Morenikeji, Senkevich123, Konstantin, Shashkin124, Chingiz, Zharkynbekova125, Nazira, Koneyev126, Kairgali, Manizha127, Ganieva, Isrofilov127, Maksud, Guliyeva128, Ulviyya, Salayev129, Kamran, Khachatryan130, Samson, Rossi131, Salvatore, Silvestri131, Gabriella, Haridy132, Nourelhoda, Ramenghi133, Luca A., Xiromerisiou134, Georgia, David135, Emanuele, Aguennouz136, Mhammed, Fidani137, Liana, Spanaki138 &, Cleanthe, and Tucci139, Arianna
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Male ,[SDV.GEN] Life Sciences [q-bio]/Genetics ,Ion channels in the nervous system ,Cohort Studies ,fluids and secretions ,Loss of Function Mutation ,Receptors ,AMPA ,AMPA receptor ,lcsh:Science ,Child ,reproductive and urinary physiology ,AMPA receptor, GluA2, neurodevelopmental disorders, autism spectrum disorder, glutamatergic synaptic transmission, GRIA2 ,neurodevelopmental disorders ,Developmental disorders ,Neurodevelopmental disorders ,Brain ,Magnetic Resonance Imaging ,Settore MED/26 - NEUROLOGIA ,GluA2 ,Child, Preschool ,Female ,Adult ,Heterozygote ,Adolescent ,Science ,autism spectrum disorder ,Article ,Young Adult ,[SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics ,MESH: Intellectual Disability/genetics ,Neurodevelopmental Disorders/genetics ,Receptors AMPA/genetics ,Intellectual Disability ,mental disorders ,Humans ,Infant ,Neurodevelopmental Disorders ,Receptors, AMPA ,GRIA2 ,Preschool ,Ion channel in the nervous system, Developmental disorders, Synaptic development, NG sequencing ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,[SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics ,glutamatergic synaptic transmission ,[SCCO.NEUR]Cognitive science/Neuroscience ,[SCCO.NEUR] Cognitive science/Neuroscience ,NG sequencing ,Synaptic development ,Ion channel in the nervous system ,Next-generation sequencing ,lcsh:Q - Abstract
AMPA receptors (AMPARs) are tetrameric ligand-gated channels made up of combinations of GluA1-4 subunits encoded by GRIA1-4 genes. GluA2 has an especially important role because, following post-transcriptional editing at the Q607 site, it renders heteromultimeric AMPARs Ca2+-impermeable, with a linear relationship between current and trans-membrane voltage. Here, we report heterozygous de novo GRIA2 mutations in 28 unrelated patients with intellectual disability (ID) and neurodevelopmental abnormalities including autism spectrum disorder (ASD), Rett syndrome-like features, and seizures or developmental epileptic encephalopathy (DEE). In functional expression studies, mutations lead to a decrease in agonist-evoked current mediated by mutant subunits compared to wild-type channels. When GluA2 subunits are co-expressed with GluA1, most GRIA2 mutations cause a decreased current amplitude and some also affect voltage rectification. Our results show that de-novo variants in GRIA2 can cause neurodevelopmental disorders, complementing evidence that other genetic causes of ID, ASD and DEE also disrupt glutamatergic synaptic transmission., Genetic variants in ionotropic glutamate receptors have been implicated in neurodevelopmental disorders. Here, the authors report heterozygous de novo mutations in the GRIA2 gene in 28 individuals with intellectual disability and neurodevelopmental abnormalities associated with reduced Ca2+ transport and AMPAR currents.”
- Published
- 2019
12. Mapping autism risk loci using genetic linkage and chromosomal rearrangements
- Author
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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.
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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.
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- 2007
13. Restoring Decency to the Care of Undomiciled Foster Youth.
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Broce C, Kemp CA, Hasan R, Larson NE, Alvarado AB, Shirley J, and Constantino JN
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- 2024
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14. Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography.
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Yang D, Svoboda AM, George TG, Mansfield PK, Wheelock MD, Schroeder ML, Rafferty SM, Sherafati A, Tripathy K, Burns-Yocum T, Forsen E, Pruett JR, Marrus NM, Culver JP, Constantino JN, and Eggebrecht AT
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- Humans, Male, Child, Female, Brain diagnostic imaging, Brain physiopathology, Autistic Disorder physiopathology, Autistic Disorder diagnostic imaging, Magnetic Resonance Imaging methods, Adolescent, Tomography, Optical methods, Motion Perception physiology, Brain Mapping methods, Autism Spectrum Disorder diagnostic imaging, Autism Spectrum Disorder physiopathology
- Abstract
Background: Autism spectrum disorder (ASD), a neurodevelopmental disorder defined by social communication deficits plus repetitive behaviors and restricted interests, currently affects 1/36 children in the general population. Recent advances in functional brain imaging show promise to provide useful biomarkers of ASD diagnostic likelihood, behavioral trait severity, and even response to therapeutic intervention. However, current gold-standard neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) are limited in naturalistic studies of brain function underlying ASD-associated behaviors due to the constrained imaging environment. Compared to fMRI, high-density diffuse optical tomography (HD-DOT), a non-invasive and minimally constraining optical neuroimaging modality, can overcome these limitations. Herein, we aimed to establish HD-DOT to evaluate brain function in autistic and non-autistic school-age children as they performed a biological motion perception task previously shown to yield results related to both ASD diagnosis and behavioral traits., Methods: We used HD-DOT to image brain function in 46 ASD school-age participants and 49 non-autistic individuals (NAI) as they viewed dynamic point-light displays of coherent biological and scrambled motion. We assessed group-level cortical brain function with statistical parametric mapping. Additionally, we tested for brain-behavior associations with dimensional metrics of autism traits, as measured with the Social Responsiveness Scale-2, with hierarchical regression models., Results: We found that NAI participants presented stronger brain activity contrast (coherent > scrambled) than ASD children in cortical regions related to visual, motor, and social processing. Additionally, regression models revealed multiple cortical regions in autistic participants where brain function is significantly associated with dimensional measures of ASD traits., Limitations: Optical imaging methods are limited in depth sensitivity and so cannot measure brain activity within deep subcortical regions. However, the field of view of this HD-DOT system includes multiple brain regions previously implicated in both task-based and task-free studies on autism., Conclusions: This study demonstrates that HD-DOT is sensitive to brain function that both differentiates between NAI and ASD groups and correlates with dimensional measures of ASD traits. These findings establish HD-DOT as an effective tool for investigating brain function in autistic and non-autistic children. Moreover, this study established neural correlates related to biological motion perception and its association with dimensional measures of ASD traits., (© 2024. The Author(s).)
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- 2024
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15. Mate selection and current trends in the prevalence of autism.
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Forsen E, Marrus N, Joyce J, Zhang Y, and Constantino JN
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- Adult, Child, Female, Humans, Male, California epidemiology, Missouri epidemiology, Prevalence, White, Autistic Disorder epidemiology, Autistic Disorder genetics, Hispanic or Latino
- Abstract
Background: According to the most recent U.S. CDC surveillance data, the rise in prevalence of childhood autism spectrum disorder among minority children has begun to outpace that of non-Hispanic white children. Since prior research has identified possible differences in the extent of mate selection for autistic traits across families of different ethnicity, this study examined variation in autism related traits in contemporaneous, epidemiologically ascertained samples of spousal pairs representing Hispanic and non-Hispanic white populations. The purpose was to determine whether discrepancies by ethnicity could contribute to differential increases in prevalence in the current generation of young children., Methods: Birth records were used to identify all twin pairs born between 2011 and 2013 in California and Missouri. Families were selected at random from pools of English-speaking Hispanic families in California and Non-Hispanic White families in Missouri. Autistic trait data of parents was obtained using the Adult Report Form of the Social Responsiveness Scale (SRS-2)., Results: We did not identify a statistically significant difference in the degree of mate selection for autism related traits between Hispanic and non-Hispanic white spousal pairs. However, the degree of spousal correlation observed in this recent cohort was pronounced (on the order of ICC 0.45) and exceeded that typically reported in prior research (on the order of 0.30), surpassing also widely reported estimates for sibling correlation (also on the order of 0.30)., Limitations: The sample did not allow for a direct appraisal of change in the magnitude of spousal correlation over time and the ascertainments of trait burden were derived from spouse report., Conclusion: Across two epidemiologically ascertained samples of spousal pairs representing Hispanic and non-Hispanic white families across two U.S. states (respectively, California and Missouri), the extent of autism-related trait co-variation for parents of the current generation of young children is substantial and exceeds correlations typically observed for siblings. Given the heritability of these traits and their relation to autism risk, societal trends in the degree of mate selection for these traits should be considered as possible contributors to subtle increases in the incidence of autism over time and across generations., (© 2024. The Author(s).)
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- 2024
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16. A MYT1L syndrome mouse model recapitulates patient phenotypes and reveals altered brain development due to disrupted neuronal maturation.
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Chen J, Lambo ME, Ge X, Dearborn JT, Liu Y, McCullough KB, Swift RG, Tabachnick DR, Tian L, Noguchi K, Garbow JR, Constantino JN, Gabel HW, Hengen KB, Maloney SE, and Dougherty JD
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- 2024
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17. Examining Sex Differences in Autism Heritability.
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Sandin S, Yip BHK, Yin W, Weiss LA, Dougherty JD, Fass S, Constantino JN, Hailin Z, Turner TN, Marrus N, Gutmann DH, Sanders SJ, and Christoffersson B
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- Humans, Male, Female, Sweden epidemiology, Child, Retrospective Studies, Adolescent, Sex Factors, Young Adult, Adult, Child, Preschool, Genetic Predisposition to Disease genetics, Prevalence, Autism Spectrum Disorder genetics, Autism Spectrum Disorder epidemiology, Registries
- Abstract
Importance: Autism spectrum disorder (ASD) is a neurodevelopmental disorder more prevalent in males than in females. The cause of ASD is largely genetic, but the association of genetics with the skewed sex ratio is not yet understood. To our knowledge, no large population-based study has provided estimates of heritability by sex., Objective: To estimate the sex-specific heritability of ASD., Design, Setting, and Participants: This was a population-based, retrospective analysis using national health registers of nontwin siblings and cousins from Sweden born between January 1, 1985, and December 31, 1998, with follow-up to 19 years of age. Data analysis occurred from August 2022 to November 2023., Main Outcomes and Measures: Models were fitted to estimate the relative variance in risk for ASD occurrence owing to sex-specific additive genetics, shared environmental effects, and a common residual term. The residual term conceptually captured other factors that promote individual behavioral variation (eg, maternal effects, de novo variants, rare genetic variants not additively inherited, or gene-environment interactions). Estimates were adjusted for differences in prevalence due to birth year and maternal and paternal age by sex., Results: The sample included 1 047 649 individuals in 456 832 families (538 283 males [51.38%]; 509 366 females [48.62%]). Within the entire sample, 12 226 (1.17%) received a diagnosis of ASD, comprising 8128 (1.51%) males and 4098 (0.80%) females. ASD heritability was estimated at 87.0% (95% CI, 81.4%-92.6%) for males and 75.7% (95% CI, 68.4%-83.1%) for females with a difference in heritability estimated at 11.3% (95% CI, 1.0%-21.6%). There was no support for shared environmental contributions., Conclusions and Relevance: These findings suggest that the degree of phenotypic variation attributable to genetic differences (heritability) differs between males and females, indicating that some of the underlying causes of the condition may differ between the 2 sexes. The skewed sex ratio in ASD may be partly explained by differences in genetic variance between the sexes.
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- 2024
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18. The Brain Gene Registry: a data snapshot.
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Baldridge D, Kaster L, Sancimino C, Srivastava S, Molholm S, Gupta A, Oh I, Lanzotti V, Grewal D, Riggs ER, Savatt JM, Hauck R, Sveden A, Constantino JN, Piven J, Gurnett CA, Chopra M, Hazlett H, and Payne PRO
- Subjects
- Humans, Male, Female, Brain, Registries, Methyltransferases, Autism Spectrum Disorder genetics, Autistic Disorder, Neurodevelopmental Disorders, Intellectual Disability
- Abstract
Monogenic disorders account for a large proportion of population-attributable risk for neurodevelopmental disabilities. However, the data necessary to infer a causal relationship between a given genetic variant and a particular neurodevelopmental disorder is often lacking. Recognizing this scientific roadblock, 13 Intellectual and Developmental Disabilities Research Centers (IDDRCs) formed a consortium to create the Brain Gene Registry (BGR), a repository pairing clinical genetic data with phenotypic data from participants with variants in putative brain genes. Phenotypic profiles are assembled from the electronic health record (EHR) and a battery of remotely administered standardized assessments collectively referred to as the Rapid Neurobehavioral Assessment Protocol (RNAP), which include cognitive, neurologic, and neuropsychiatric assessments, as well as assessments for attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Co-enrollment of BGR participants in the Clinical Genome Resource's (ClinGen's) GenomeConnect enables display of variant information in ClinVar. The BGR currently contains data on 479 participants who are 55% male, 6% Asian, 6% Black or African American, 76% white, and 12% Hispanic/Latine. Over 200 genes are represented in the BGR, with 12 or more participants harboring variants in each of these genes: CACNA1A, DNMT3A, SLC6A1, SETD5, and MYT1L. More than 30% of variants are de novo and 43% are classified as variants of uncertain significance (VUSs). Mean standard scores on cognitive or developmental screens are below average for the BGR cohort. EHR data reveal developmental delay as the earliest and most common diagnosis in this sample, followed by speech and language disorders, ASD, and ADHD. BGR data has already been used to accelerate gene-disease validity curation of 36 genes evaluated by ClinGen's BGR Intellectual Disability (ID)-Autism (ASD) Gene Curation Expert Panel. In summary, the BGR is a resource for use by stakeholders interested in advancing translational research for brain genes and continues to recruit participants with clinically reported variants to establish a rich and well-characterized national resource to promote research on neurodevelopmental disorders., (© 2024. The Author(s).)
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- 2024
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19. Clinical variants paired with phenotype: A rich resource for brain gene curation.
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Chopra M, Savatt JM, Bingaman TI, Good ME, Morgan A, Cooney C, Rossel AM, VanHoute B, Cordova I, Mahida S, Lanzotti V, Baldridge D, Gurnett CA, Piven J, Hazlett H, Pomeroy SL, Sahin M, Payne PRO, Riggs ER, and Constantino JN
- Subjects
- Humans, Genetic Testing methods, Phenotype, Brain, Genetic Variation genetics, Databases, Genetic
- Abstract
Purpose: Clinically ascertained variants are under-utilized in neurodevelopmental disorder research. We established the Brain Gene Registry (BGR) to coregister clinically identified variants in putative brain genes with participant phenotypes. Here, we report 179 genetic variants in the first 179 BGR registrants and analyze the proportion that were novel to ClinVar at the time of entry and those that were absent in other disease databases., Methods: From 10 academically affiliated institutions, 179 individuals with 179 variants were enrolled into the BGR. Variants were cross-referenced for previous presence in ClinVar and for presence in 6 other genetic databases., Results: Of 179 variants in 76 genes, 76 (42.5%) were novel to ClinVar, and 62 (34.6%) were absent from all databases analyzed. Of the 103 variants present in ClinVar, 37 (35.9%) were uncertain (ClinVar aggregate classification of variant of uncertain significance or conflicting classifications). For 5 variants, the aggregate ClinVar classification was inconsistent with the interpretation from the BGR site-provided classification., Conclusion: A significant proportion of clinical variants that are novel or uncertain are not shared, limiting the evidence base for new gene-disease relationships. Registration of paired clinical genetic test results with phenotype has the potential to advance knowledge of the relationships between genes and neurodevelopmental disorders., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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20. Social motivation in infancy is associated with familial recurrence of ASD.
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Marrus N, Botteron KN, Hawks Z, Pruett JR Jr, Elison JT, Jackson JJ, Markson L, Eggebrecht AT, Burrows CA, Zwaigenbaum L, Dager SR, Estes AM, Hazlett HC, Schultz RT, Piven J, and Constantino JN
- Subjects
- Child, Infant, Humans, Motivation, Prospective Studies, Risk, Siblings, Autism Spectrum Disorder genetics, Autism Spectrum Disorder diagnosis
- Abstract
Pre-diagnostic deficits in social motivation are hypothesized to contribute to autism spectrum disorder (ASD), a heritable neurodevelopmental condition. We evaluated psychometric properties of a social motivation index (SMI) using parent-report item-level data from 597 participants in a prospective cohort of infant siblings at high and low familial risk for ASD. We tested whether lower SMI scores at 6, 12, and 24 months were associated with a 24-month ASD diagnosis and whether social motivation's course differed relative to familial ASD liability. The SMI displayed good internal consistency and temporal stability. Children diagnosed with ASD displayed lower mean SMI T-scores at all ages and a decrease in mean T-scores across age. Lower group-level 6-month scores corresponded with higher familial ASD liability. Among high-risk infants, strong decline in SMI T-scores was associated with 10-fold odds of diagnosis. Infant social motivation is quantifiable by parental report, differentiates children with versus without later ASD by age 6 months, and tracks with familial ASD liability, consistent with a diagnostic and susceptibility marker of ASD. Early decrements and decline in social motivation indicate increased likelihood of ASD, highlighting social motivation's importance to risk assessment and clarification of the ontogeny of ASD.
- Published
- 2024
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21. Bridging the Divide Between Health and Mental Health: New Opportunity for Parity in Childhood.
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Constantino JN
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- Child, Humans, United States, Mental Health, Insurance Coverage, Insurance, Health, Mental Health Services, Mental Disorders therapy, Substance-Related Disorders therapy
- Abstract
The modern era for mental health parity in the US began in 1996, when Congress enacted the Mental Health Parity Act (MHPA), which required equivalence in aggregate lifetime and annual dollar limits for mental health benefits and medical/surgical benefits. Mental health parity generally refers to the equal treatment of mental health conditions and physical health conditions in insurance plans, the substance of which extends far beyond equivalence in the dollar limits of benefits. Mental health parity is a foundational aspiration that has not yet been fulfilled in the US; this article describes details of subsequent legislation that has created new opportunity to finish the work that was started by MHPA, to achieve actual mental health parity, with particular reference to the needs of children., (Copyright © 2023 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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22. Development and Replication of Objective Measurements of Social Visual Engagement to Aid in Early Diagnosis and Assessment of Autism.
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Jones W, Klaiman C, Richardson S, Lambha M, Reid M, Hamner T, Beacham C, Lewis P, Paredes J, Edwards L, Marrus N, Constantino JN, Shultz S, and Klin A
- Subjects
- Female, Humans, Male, Cognition, Early Diagnosis, Prospective Studies, Infant, Child, Preschool, Double-Blind Method, Autism Spectrum Disorder diagnosis, Autistic Disorder diagnosis
- Abstract
Importance: Autism spectrum disorder is a common and early-emerging neurodevelopmental condition. While 80% of parents report having had concerns for their child's development before age 2 years, many children are not diagnosed until ages 4 to 5 years or later., Objective: To develop an objective performance-based tool to aid in early diagnosis and assessment of autism in children younger than 3 years., Design, Setting, and Participants: In 2 prospective, consecutively enrolled, broad-spectrum, double-blind studies, we developed an objective eye-tracking-based index test for children aged 16 to 30 months, compared its performance with best-practice reference standard diagnosis of autism (discovery study), and then replicated findings in an independent sample (replication study). Discovery and replication studies were conducted in specialty centers for autism diagnosis and treatment. Reference standard diagnoses were made using best-practice standardized protocols by specialists blind to eye-tracking results. Eye-tracking tests were administered by staff blind to clinical results. Children were enrolled from April 27, 2013, until September 26, 2017. Data were analyzed from March 28, 2018, to January 3, 2019., Main Outcomes and Measures: Prespecified primary end points were the sensitivity and specificity of the eye-tracking-based index test compared with the reference standard. Prespecified secondary end points measured convergent validity between eye-tracking-based indices and reference standard assessments of social disability, verbal ability, and nonverbal ability., Results: Data were collected from 1089 children: 719 children (mean [SD] age, 22.4 [3.6] months) in the discovery study, and 370 children (mean [SD] age, 25.4 [6.0] months) in the replication study. In discovery, 224 (31.2%) were female and 495 (68.8%) male; in replication, 120 (32.4%) were female and 250 (67.6%) male. Based on reference standard expert clinical diagnosis, there were 386 participants (53.7%) with nonautism diagnoses and 333 (46.3%) with autism diagnoses in discovery, and 184 participants (49.7%) with nonautism diagnoses and 186 (50.3%) with autism diagnoses in replication. In the discovery study, the area under the receiver operating characteristic curve was 0.90 (95% CI, 0.88-0.92), sensitivity was 81.9% (95% CI, 77.3%-85.7%), and specificity was 89.9% (95% CI, 86.4%-92.5%). In the replication study, the area under the receiver operating characteristic curve was 0.89 (95% CI, 0.86-0.93), sensitivity was 80.6% (95% CI, 74.1%-85.7%), and specificity was 82.3% (95% CI, 76.1%-87.2%). Eye-tracking test results correlated with expert clinical assessments of children's individual levels of ability, explaining 68.6% (95% CI, 58.3%-78.6%), 63.4% (95% CI, 47.9%-79.2%), and 49.0% (95% CI, 33.8%-65.4%) of variance in reference standard assessments of social disability, verbal ability, and nonverbal cognitive ability, respectively., Conclusions and Relevance: In two diagnostic studies of children younger than 3 years, objective eye-tracking-based measurements of social visual engagement quantified diagnostic status as well as individual levels of social disability, verbal ability, and nonverbal ability in autism. These findings suggest that objective measurements of social visual engagement can be used to aid in autism diagnosis and assessment.
- Published
- 2023
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23. Reducing Abuse and Neglect Recurrence Among Young Foster Children Reunified With Their Families.
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Constantino JN, Buchanan G, Tandon M, Bader C, and Jonson-Reid M
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- Child, Humans, Child, Preschool, Missouri, Odds Ratio, Parents, Child, Foster, Child Abuse prevention & control
- Abstract
Background and Objectives: Child maltreatment (CM) is a recurrent adverse life event known to cause enduring psychiatric impairment throughout life. For young children in protective custody for a first episode of CM, specialized court-coordinated intervention to optimize reunification has shown promise for preventing CM recidivism, with case series documenting short-term successes., Methods: We tracked 10-year (Nov 2011-March 2022) court re-entry outcomes in a cohort of 272 young children, birth to six years, reunited with their families following placement in protective custody and court referral to the SYNCHRONY Project, a voluntary clinical service providing Incredible YearsTM parenting education, parental psychiatric care, and serial dyadic clinical evaluation to inform medical recommendations on safety for visitation and reunification. Re-entry was operationalized as rereferral to any Missouri Court and proportions compared with contemporaneous State and national data., Results: SYNCHRONY-enrolled/reunified children experienced frequencies of guardianship (22%) and reunification (46%), in keeping with Missouri averages. In these categories, 3.4% and 7.1% respectively were re-referred to the Court over the 10-year follow-up. In care as usual nationally for this age group, the re-referral proportions are 18% (OR 7.5, P < .0001) and 35% (OR 6.1, P < .0001) respectively. In care as usual in Missouri across all ages, the re-referral proportion is 16% (odds ratio [OR] 3.09, P < .0001)., Conclusions: Judicious implementation of evidence-based parenting education, 2-generation psychiatric care, and clinical consultation were associated with marked reduction in court re-entry versus care-as-usual and warrant consideration in intervention standards for young children in foster care., (Copyright © 2023 by the American Academy of Pediatrics.)
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- 2023
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24. Prospects for Leveling the Playing Field for Black Children With Autism.
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Constantino JN, Abbacchi AM, May BK, Klaiman C, Zhang Y, Lowe JK, Marrus N, Klin A, and Geschwind DH
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- Humans, Child, United States epidemiology, Prevalence, Comorbidity, Autism Spectrum Disorder diagnosis, Autism Spectrum Disorder epidemiology, Autistic Disorder epidemiology, Intellectual Disability epidemiology
- Abstract
Among the many race-based health disparities that have persistently plagued the US population,
1 the disproportionate burden of adverse neurodevelopmental outcomes to Black children affected by autism spectrum disorder (ASD) is particularly devastating given its major lifelong consequences. Recently, in 3 successive reports from the Autism and Developmental Disabilities Monitoring (ADDM) program of the US Centers for Disease Control and Prevention (CDC) (birth cohort years 2014, 2016, and 2018), we and our collaborators reported that although the prevalence of community-diagnosed ASD had equalized for Black and non-Hispanic White (NHW) children in the United States, there has persisted a pronounced racial disparity in the proportion of ASD-affected children with comorbid intellectual disability (ID), on the order of 50% for Black children with ASD vs 20% for White children with ASD.2 Here, we provide data to support the following: much earlier diagnosis is possible; early diagnosis alone is not likely to close the ID comorbidity disparity; and judicious efforts over care as usual are necessary to ensure that Black children have access to timely implementation of developmental therapy, for which we observed promising associations with improved cognitive and adaptive outcomes in our sample., (Copyright © 2023 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.)- Published
- 2023
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25. Impact of Ocular Conditions and Improvements After Refractive Surgery in Quality of Life for Children With Neurodevelopmental Disorders.
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Zdonczyk A, Tychsen L, Constantino JN, Culican SM, Badawi AA, and Reynolds M
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- Adolescent, Humans, Child, Quality of Life, Visual Acuity, Prospective Studies, Refraction, Ocular, Refractive Errors, Refractive Surgical Procedures, Eye Diseases, Neurodevelopmental Disorders
- Abstract
Purpose: This study aims to characterize the eye-related quality of life of children with neurodevelopmental and ocular disorders at baseline and after refractive surgery., Design: Prospective interventional case series., Methods: We enrolled children and adolescents 5 to 18 of age with neurodevelopmental disorders undergoing refractive surgery (6 for pre-/postsurgical assessment and 14 for baseline analysis). Eye-related quality of life was measured using the Pediatric Eye Questionnaire (PedEyeQ). Baseline levels of adaptive functioning and social behaviors were measured using the Adaptive Behavioral Assessment System (ABAS-3) and Social Responsiveness Scale (SRS-2). We assessed the correlation between baseline PedEyeQ scores, number of ocular comorbidities, magnitude of refractive error, and ABAS-3 and SRS-2 scores., Results: At baseline, 14 patients demonstrated decreased median eye-related quality of life (<60/100) in 5 of 9 PedEyeQ domains, moderate deficiencies in social behaviors (SRS-2 median 71, range 49-90), and low adaptive functioning (ABAS-3 median percentile for age of 0.100). Baseline PedEyeQ scores did not correlate with magnitude of refractive error or adaptive functioning scores but did correlate with number of ocular comorbidities and social behavior scores. Six patients have undergone refractive surgery without complication. Postoperatively, 11 of 11 eyes were within ±1.5 diopters spherical equivalent. Four of 6 patients exhibited clinically significant improvements in PedEyeQ scores after surgery., Conclusions: Even in the presence of significant social and adaptive impairments, quality of life in children with neurodevelopmental disorders is decreased by ocular disorders. Refractive surgery is associated with clinically significant improvements in eye-related quality of life., (Copyright © 2022 Elsevier Inc. All rights reserved.)
- Published
- 2023
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26. Social attention during object engagement: toward a cross-species measure of preferential social orienting.
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Weichselbaum C, Hendrix N, Albright J, Dougherty JD, Botteron KN, Constantino JN, and Marrus N
- Subjects
- Infant, Humans, Animals, Dogs, Social Behavior, Prospective Studies, Attention, Cognition, Autism Spectrum Disorder psychology
- Abstract
Background: A central challenge in preclinical research investigating the biology of autism spectrum disorder (ASD) is the translation of ASD-related social phenotypes across humans and animal models. Social orienting, an observable, evolutionarily conserved behavior, represents a promising cross-species ASD phenotype given that disrupted social orienting is an early-emerging ASD feature with evidence for predicting familial recurrence. Here, we adapt a competing-stimulus social orienting task from domesticated dogs to naturalistic play behavior in human toddlers and test whether this approach indexes decreased social orienting in ASD., Methods: Play behavior was coded from the Autism Diagnostic Observation Schedule (ADOS) in two samples of toddlers, each with and without ASD. Sample 1 (n = 16) consisted of community-ascertained research participants, while Sample 2 involved a prospective study of infants at a high or low familial liability for ASD (n = 67). Coding quantified the child's looks towards the experimenter and caregiver, a social stimulus, while playing with high-interest toys, a non-social stimulus. A competing-stimulus measure of "Social Attention During Object Engagement" (SADOE) was calculated by dividing the number of social looks by total time spent playing with toys. SADOE was compared based on ASD diagnosis and differing familial liability for ASD., Results: In both samples, toddlers with ASD exhibited significantly lower SADOE compared to toddlers without ASD, with large effect sizes (Hedges' g ≥ 0.92) driven by a lower frequency of child-initiated spontaneous looks. Among toddlers at high familial likelihood of ASD, toddlers with ASD showed lower SADOE than toddlers without ASD, while SADOE did not differ based on presence or absence of familial ASD risk alone. SADOE correlated negatively with ADOS social affect calibrated severity scores and positively with the Communication and Symbolic Behavior Scales social subscale. In a binary logistic regression model, SADOE alone correctly classified 74.1% of cases, which rose to 85.2% when combined with cognitive development., Conclusions: This work suggests that a brief behavioral measure pitting a high-interest nonsocial stimulus against the innate draw of social partners can serve as a feasible cross-species measure of social orienting, with implications for genetically informative behavioral phenotyping of social deficits in ASD and other neurodevelopmental disorders., (© 2022. The Author(s).)
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- 2022
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27. Documenting Opportunity for Systematic Identification and Mitigation of Risk for Child Maltreatment.
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Tandon M, Jonson-Reid M, and Constantino JN
- Subjects
- Infant, Pregnancy, Child, Female, Infant, Newborn, Humans, Young Adult, Adult, Child, Preschool, Pandemics prevention & control, Prospective Studies, Prenatal Care, Risk Factors, COVID-19 prevention & control, Child Abuse prevention & control
- Abstract
This is a communication of preliminary data as a matter of priority in relation to Clinical Trials protocol ID 2018110118; NCT04438161. This protocol represents, to our knowledge, a first-ever attempt to convert an epidemiologic discovery on risk for child maltreatment (CM) into a readily deployable modification of obstetrical practice designed to offset risk for CM and its psychiatric sequelae. Before
1 and during the coronavirus disease 2019 (COVID-19 pandemic),2,3 CM has incurred a burden of epidemic proportions to U.S. children, with confirmed incidents occurring on the order of 12% of the population. Wu et al.4 and Putnam-Hornstein and Needell5 previously established that profiles of risk ascertained exclusively from birth records identified specific groups of newborns at highly elevated risk for official-report CM. For example, infants with the joint characteristics of low birth weight, more than 2 siblings, and maternal characteristics of being unmarried, on Medicaid, and smoking during pregnancy (ascertained separately) were found to have a 7-fold risk for maltreatment compared with the population average.4 Putnam-Hornstein and Needell showed that newborns with 3 or more risk factors ascertained from birth records (including any of the above, delayed prenatal care, less than high school maternal education, and maternal age less than 24 years) comprised 15% of an epidemiologic birth cohort but accounted for more than half of all the children in the cohort who experienced substantiated official-report maltreatment by the age of 5 years. This study explored whether prospective implementation of birth records screening in an urban obstetrical service recapitulated the association with CM observed in an epidemiologic context and whether families in higher echelons of risk (ascertained in this manner through birth records) could be prospectively engaged in supportive interventions of demonstrated effect in reducing the occurrence of CM. This work follows on promising efforts elsewhere to use birth records information to prioritize support services for young families,6 though such innovations have yet to be systematically incorporated into obstetrical or newborn medical services of U.S. health systems., (Copyright © 2022 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.)- Published
- 2022
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28. Can the "female protective effect" liability threshold model explain sex differences in autism spectrum disorder?
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Dougherty JD, Marrus N, Maloney SE, Yip B, Sandin S, Turner TN, Selmanovic D, Kroll KL, Gutmann DH, Constantino JN, and Weiss LA
- Subjects
- Female, Male, Humans, Sex Characteristics, Phenotype, Penetrance, Autism Spectrum Disorder diagnosis
- Abstract
Male sex is a strong risk factor for autism spectrum disorder (ASD). The leading theory for a "female protective effect" (FPE) envisions males and females have "differing thresholds" under a "liability threshold model" (DT-LTM). Specifically, this model posits that females require either a greater number or larger magnitude of risk factors (i.e., greater liability) to manifest ASD, which is supported by the finding that a greater proportion of females with ASD have highly penetrant genetic mutations. Herein, we derive testable hypotheses from the DT-LTM for ASD, investigating heritability, familial recurrence, correlation between ASD penetrance and sex ratio, population traits, clinical features, the stability of the sex ratio across diagnostic changes, and highlight other key prerequisites. Our findings reveal that several key predictions of the DT-LTM are not supported by current data, requiring us to establish a different conceptual framework for evaluating alternate models that explain sex differences in ASD., Competing Interests: Declaration of interests J.N.C. receives royalties from Western Psychological Services for the commercial distribution of the social responsiveness scale, a quantitative measure of autistic traits implemented in some of the studies cited in this article., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2022
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29. GABBR1 monoallelic de novo variants linked to neurodevelopmental delay and epilepsy.
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Cediel ML, Stawarski M, Blanc X, Nosková L, Magner M, Platzer K, Gburek-Augustat J, Baldridge D, Constantino JN, Ranza E, Bettler B, and Antonarakis SE
- Subjects
- Humans, gamma-Aminobutyric Acid metabolism, HEK293 Cells, Epilepsy genetics, Intellectual Disability genetics, Nervous System Malformations, Neurodevelopmental Disorders genetics, Receptors, GABA-B genetics
- Abstract
GABA
B receptors are obligatory heterodimers responsible for prolonged neuronal inhibition in the central nervous system. The two receptor subunits are encoded by GABBR1 and GABBR2. Variants in GABBR2 have been associated with a Rett-like phenotype (MIM: 617903), epileptic encephalopathy (MIM: 617904), and milder forms of developmental delay with absence epilepsy. To date, however, no phenotypes associated with pathogenic variants of GABBR1 have been established. Through GeneMatcher, we have ascertained four individuals who each have a monoallelic GABBR1 de novo non-synonymous variant; these individuals exhibit motor and/or language delay, ranging from mild to severe, and in one case, epilepsy. Further phenotypic features include varying degrees of intellectual disability, learning difficulties, autism, ADHD, ODD, sleep disorders, and muscular hypotonia. We functionally characterized the four de novo GABBR1 variants, p.Glu368Asp, p.Ala397Val, p.Ala535Thr, and p.Gly673Asp, in transfected HEK293 cells. GABA fails to efficiently activate the variant receptors, most likely leading to an increase in the excitation/inhibition balance in the central nervous system. Variant p.Gly673Asp in transmembrane domain 3 (TMD3) renders the receptor completely inactive, consistent with failure of the receptor to reach the cell surface. p.Glu368Asp is located near the orthosteric binding site and reduces GABA potency and efficacy at the receptor. GABA exhibits normal potency but decreased efficacy at the p.Ala397Val and p.Ala535Thr variants. Functional characterization of GABBR1-related variants provides a rationale for understanding the severity of disease phenotypes and points to possible therapeutic strategies., Competing Interests: Declaration of interests S.E.A. is a cofounder and CEO of Medigenome, Swiss Institute of Genomic Medicine; he is also a member of the Scientific Advisory Board of the “Imagine Institute”, Paris. E.R. is also a cofounder and medical director of Medigenome, Swiss Institute of Genomic Medicine. M.L.C. is an intern in the federally recognized clinical training program for Genetic Medicine of Medigenome. L.N. was supported by the grant NV19-07-00136 from the Ministry of Health of the Czech Republi, and The National Center for Medical Genomics (LM2018132) for support with the WES analyses., (Copyright © 2022 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)- Published
- 2022
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30. Examining shortened versions of the Social Responsiveness Scale for use in autism spectrum disorder prediction and as a quantitative trait measure: Results from a validation study of 3-5 year old children.
- Author
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Lyall K, Rando J, Toroni B, Ezeh T, Constantino JN, Croen LA, Garvin B, Piselli K, Connell J, Kaat AJ, and Newschaffer CJ
- Abstract
Background: The Social Responsiveness Scale (SRS) is a 65-item measure yielding a continuous score capturing autism-related traits. Scores based on SRS item subsets have been analytically examined but administration of shortened versions has not been evaluated prospectively., Objective: The goal of this study was to compare psychometric properties of two shortened versions of the SRS to the full 65-item SRS, in young children from both a clinical and general population setting., Methods: Study participants (aged 3-5 years) were drawn from the AJ Drexel Autism Institute clinic ( n = 154) and Kaiser Permanente Northern California ( n = 201) and block randomized to receive either the 16-item short SRS, a newly developed computer adaptive testing-SRS, or the published full-length SRS. Total scores across the three SRS administration methods were scaled to facilitate comparisons. Scores were plotted to assess distributional properties, while Receiver Operating Characteristic analysis was used to estimate Area Under the Curve (AUC) and address predictive ability., Results: Overall, distributional properties of the three administration methods were highly comparable, with shortened measures demonstrating similar ability to capture the range of the distribution and case non-case separation as the full SRS. In addition, AUC values were high (0.91-0.97) and comparable across the administration methods, though there was evidence of difference in predictive ability across measures for females (AUC for full SRS = 0.99 vs. 0.84 for short). Within individual comparisons of short versus full scores (available only for participants at the general population site) suggested underestimation of actual full SRS scores with the CAT-SRS., Conclusions: Our findings broadly support the construct validity and performance of shortened SRS versions examined here, though the full measure may be needed to more accurately assess traits consistent with ASD diagnosis in females. This work suggests opportunities for collection of ASD-related phenotype in settings where participant burden or feasibility considerations may have otherwise prohibited such measurement., Competing Interests: John N. Constantino receives royalties from Western Psychological Services for the commercial distribution of the Social Responsiveness Scale‐2. The remaining authors have declared that they have no competing or potential conflicts of interest., (© 2022 The Authors. JCPP Advances published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health.)
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- 2022
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31. Infant Visual Brain Development and Inherited Genetic Liability in Autism.
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Girault JB, Donovan K, Hawks Z, Talovic M, Forsen E, Elison JT, Shen MD, Swanson MR, Wolff JJ, Kim SH, Nishino T, Davis S, Snyder AZ, Botteron KN, Estes AM, Dager SR, Hazlett HC, Gerig G, McKinstry R, Pandey J, Schultz RT, St John T, Zwaigenbaum L, Todorov A, Truong Y, Styner M, Pruett JR Jr, Constantino JN, and Piven J
- Subjects
- Brain diagnostic imaging, Humans, Magnetic Resonance Imaging methods, Prospective Studies, Siblings, Autism Spectrum Disorder diagnostic imaging, Autism Spectrum Disorder genetics, Autistic Disorder
- Abstract
Objective: Autism spectrum disorder (ASD) is heritable, and younger siblings of ASD probands are at higher likelihood of developing ASD themselves. Prospective MRI studies of siblings report that atypical brain development precedes ASD diagnosis, although the link between brain maturation and genetic factors is unclear. Given that familial recurrence of ASD is predicted by higher levels of ASD traits in the proband, the authors investigated associations between proband ASD traits and brain development among younger siblings., Methods: In a sample of 384 proband-sibling pairs (89 pairs concordant for ASD), the authors examined associations between proband ASD traits and sibling brain development at 6, 12, and 24 months in key MRI phenotypes: total cerebral volume, cortical surface area, extra-axial cerebrospinal fluid, occipital cortical surface area, and splenium white matter microstructure. Results from primary analyses led the authors to implement a data-driven approach using functional connectivity MRI at 6 months., Results: Greater levels of proband ASD traits were associated with larger total cerebral volume and surface area and larger surface area and reduced white matter integrity in components of the visual system in siblings who developed ASD. This aligned with weaker functional connectivity between several networks and the visual system among all siblings during infancy., Conclusions: The findings provide evidence that specific early brain MRI phenotypes of ASD reflect quantitative variation in familial ASD traits. Multimodal anatomical and functional convergence on cortical regions, fiber pathways, and functional networks involved in visual processing suggest that inherited liability has a role in shaping the prodromal development of visual circuitry in ASD.
- Published
- 2022
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32. Germline mosaicism of a missense variant in KCNC2 in a multiplex family with autism and epilepsy characterized by long-read sequencing.
- Author
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Mehinovic E, Gray T, Campbell M, Ekholm J, Wenger A, Rowell W, Grudo A, Grimwood J, Korlach J, Gurnett C, Constantino JN, and Turner TN
- Subjects
- Child, Female, Germ Cells, Humans, Male, Mosaicism, Mutation, Missense, Autistic Disorder genetics, Epilepsy genetics, Shaw Potassium Channels genetics
- Abstract
Currently, protein-coding de novo variants and large copy number variants have been identified as important for ~30% of individuals with autism. One approach to identify relevant variation in individuals who lack these types of events is by utilizing newer genomic technologies. In this study, highly accurate PacBio HiFi long-read sequencing was applied to a family with autism, epileptic encephalopathy, cognitive impairment, and mild dysmorphic features (two affected female siblings, unaffected parents, and one unaffected male sibling) with no known clinical variant. From our long-read sequencing data, a de novo missense variant in the KCNC2 gene (encodes Kv3.2) was identified in both affected children. This variant was phased to the paternal chromosome of origin and is likely a germline mosaic. In silico assessment revealed the variant was not in controls, highly conserved, and predicted damaging. This specific missense variant (Val473Ala) has been shown in both an ortholog and paralog of Kv3.2 to accelerate current decay, shift the voltage dependence of activation, and prevent the channel from entering a long-lasting open state. Seven additional missense variants have been identified in other individuals with neurodevelopmental disorders (p = 1.03 × 10
-5 ). KCNC2 is most highly expressed in the brain; in particular, in the thalamus and is enriched in GABAergic neurons. Long-read sequencing was useful in discovering the relevant variant in this family with autism that had remained a mystery for several years and will potentially have great benefits in the clinic once it is widely available., (© 2022 The Authors. American Journal of Medical Genetics Part A published by Wiley Periodicals LLC.)- Published
- 2022
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33. Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life.
- Author
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Yankowitz LD, Petrulla V, Plate S, Tunc B, Guthrie W, Meera SS, Tena K, Pandey J, Swanson MR, Pruett JR Jr, Cola M, Russell A, Marrus N, Hazlett HC, Botteron K, Constantino JN, Dager SR, Estes A, Zwaigenbaum L, Piven J, Schultz RT, and Parish-Morris J
- Subjects
- Humans, Infant, Longitudinal Studies, Reproducibility of Results, Autism Spectrum Disorder diagnosis, Autistic Disorder, Language Development Disorders diagnosis
- Abstract
Background: Canonical babbling-producing syllables with a mature consonant, full vowel, and smooth transition-is an important developmental milestone that typically occurs in the first year of life. Some studies indicate delayed or reduced canonical babbling in infants at high familial likelihood for autism spectrum disorder (ASD) or who later receive an ASD diagnosis, but evidence is mixed. More refined characterization of babbling in the first year of life in infants with high likelihood for ASD is needed., Methods: Vocalizations produced at 6 and 12 months by infants (n = 267) taking part in a longitudinal study were coded for canonical and non-canonical syllables. Infants were categorized as low familial likelihood (LL), high familial likelihood diagnosed with ASD at 24 months (HL-ASD) or not diagnosed (HL-Neg). Language delay was assessed based on 24-month expressive and receptive language scores. Canonical babble ratio (CBR) was calculated by dividing the number of canonical syllables by the number of total syllables. Generalized linear (mixed) models were used to assess the relationship between group membership and CBR, controlling for site, sex, and maternal education. Logistic regression was used to assess whether canonical babbling ratios at 6 and 12 months predict 24-month diagnostic outcome., Results: No diagnostic group differences in CBR were detected at 6 months, but HL-ASD infants produced significantly lower CBR than both the HL-Neg and LL groups at 12 months. HL-Neg infants with language delay also showed reduced CBR at 12 months. Neither 6- nor 12-month CBR was significant predictors of 24-month diagnostic outcome (ASD versus no ASD) in logistic regression., Limitations: Small numbers of vocalizations produced by infants at 6 months may limit the reliability of CBR estimates. It is not known if results generalize to infants who are not at high familial likelihood, or infants from more diverse racial and socioeconomic backgrounds., Conclusions: Lower canonical babbling ratios are apparent by the end of the first year of life in ASD regardless of later language delay, but are also observed for infants with later language delay without ASD. Canonical babbling may lack specificity as an early marker when used on its own., (© 2022. The Author(s).)
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- 2022
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34. Parameterizing Toxic Stress in Early Childhood: Maternal Depression, Maltreatment, and HPA-Axis Variation in a Pilot Intervention Study.
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Wagner RE, Jonson-Reid M, Drake B, Kohl PL, Pons L, Zhang Y, Fitzgerald RT, Laudenslager ML, and Constantino JN
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Adverse experiences superseding a child's capacity to sustain regulation of emotion and adaptive function are theorized to constitute "toxic stressors" when they induce a deleterious biological response within an individual. We ascertained presumptive parameters of toxic stress among 164 low-income infants and toddlers (ages 4-48 months) from 132 families enrolled in Early Head Start (EHS). We randomized a subset of these families into a pilot intervention arm of parenting education (the Incredible Years, TIY), which supplemented the EHS curriculum. Official report child abuse and neglect (CAN) and child behavior were serially ascertained over the course of the study. We observed relatively low associations among maternal depression, CAN, caregiver-child relationship quality, hair cortisol, and adverse child behavioral outcomes. Moreover, despite poverty and the high prevalence (51%) of CAN in this sample, the frequency of clinical-level internalizing and externalizing behavior among the children did not exceed that of the general population, by their parents' report. The pilot supplementation of EHS with TIY improved attendance in group meetings but did not significantly reduce adverse behavioral outcomes or CAN. This study revealed marked independence of standard indices of toxic stress (child maltreatment, maternal depression, caregiver emotional unavailability) which have been presumed to be risk factors for the development of psychopathology. That they were weakly inter-correlated, and only modestly predictive of child behavioral outcomes in this EHS sample, caution against presumptions about the toxicity of individual stressors, highlight the importance of ascertaining risk (and compensatory influences) comprehensively, suggest buffering effects of programs like EHS, and demonstrate the need for greater understanding of what parameterizes resilience in early childhood., (© 2022. The Author(s).)
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- 2022
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35. Poverty and Developing Brain.
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Luby JL, Constantino JN, and Barch DM
- Abstract
Evidence continues to mount that the brains of children living in poverty show tangible alterations. Our authors, all part of a team that studies the issue at Washington University School of Medicine, explain the challenges and the necessary steps needed to build a healthier and more productive society., (Copyright 2022 The Dana Foundation All Rights Reserved.)
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- 2022
36. Genes To Mental Health (G2MH): A Framework to Map the Combined Effects of Rare and Common Variants on Dimensions of Cognition and Psychopathology.
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Jacquemont S, Huguet G, Klein M, Chawner SJRA, Donald KA, van den Bree MBM, Sebat J, Ledbetter DH, Constantino JN, Earl RK, McDonald-McGinn DM, van Amelsvoort T, Swillen A, O'Donnell-Luria AH, Glahn DC, Almasy L, Eichler EE, Scherer SW, Robinson E, Bassett AS, Martin CL, Finucane B, Vorstman JAS, Bearden CE, and Gur RE
- Subjects
- Cognition, Humans, Mental Health, Psychopathology, Mental Disorders diagnosis, Mental Disorders genetics, Psychiatry
- Abstract
Rare genomic disorders (RGDs) confer elevated risk for neurodevelopmental psychiatric disorders. In this era of intense genomics discoveries, the landscape of RGDs is rapidly evolving. However, there has not been comparable progress to date in scalable, harmonized phenotyping methods. As a result, beyond associations with categorical diagnoses, the effects on dimensional traits remain unclear for many RGDs. The nature and specificity of RGD effects on cognitive and behavioral traits is an area of intense investigation: RGDs are frequently associated with more than one psychiatric condition, and those studied to date affect, to varying degrees, a broad range of developmental and cognitive functions. Although many RGDs have large effects, phenotypic expression is typically influenced by additional genomic and environmental factors. There is emerging evidence that using polygenic risk scores in individuals with RGDs offers opportunities to refine prediction, thus allowing for the identification of those at greatest risk of psychiatric illness. However, translation into the clinic is hindered by roadblocks, which include limited genetic testing in clinical psychiatry, and the lack of guidelines for following individuals with RGDs, who are at high risk of developing psychiatric symptoms. The Genes to Mental Health Network (G2MH) is a newly funded National Institute of Mental Health initiative that will collect, share, and analyze large-scale data sets combining genomics and dimensional measures of psychopathology spanning diverse populations and geography. The authors present here the most recent understanding of the effects of RGDs on dimensional behavioral traits and risk for psychiatric conditions and discuss strategies that will be pursued within the G2MH network, as well as how expected results can be translated into clinical practice to improve patient outcomes.
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- 2022
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37. A Prospective Evaluation of Infant Cerebellar-Cerebral Functional Connectivity in Relation to Behavioral Development in Autism Spectrum Disorder.
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Hawks ZW, Todorov A, Marrus N, Nishino T, Talovic M, Nebel MB, Girault JB, Davis S, Marek S, Seitzman BA, Eggebrecht AT, Elison J, Dager S, Mosconi MW, Tychsen L, Snyder AZ, Botteron K, Estes A, Evans A, Gerig G, Hazlett HC, McKinstry RC, Pandey J, Schultz RT, Styner M, Wolff JJ, Zwaigenbaum L, Markson L, Petersen SE, Constantino JN, White DA, Piven J, and Pruett JR Jr
- Abstract
Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder diagnosed based on social impairment, restricted interests, and repetitive behaviors. Contemporary theories posit that cerebellar pathology contributes causally to ASD by disrupting error-based learning (EBL) during infancy. The present study represents the first test of this theory in a prospective infant sample, with potential implications for ASD detection., Methods: Data from the Infant Brain Imaging Study ( n = 94, 68 male) were used to examine 6-month cerebellar functional connectivity magnetic resonance imaging in relation to later (12/24-month) ASD-associated behaviors and outcomes. Hypothesis-driven univariate analyses and machine learning-based predictive tests examined cerebellar-frontoparietal network (FPN; subserves error signaling in support of EBL) and cerebellar-default mode network (DMN; broadly implicated in ASD) connections. Cerebellar-FPN functional connectivity was used as a proxy for EBL, and cerebellar-DMN functional connectivity provided a comparative foil. Data-driven functional connectivity magnetic resonance imaging enrichment examined brain-wide behavioral associations, with post hoc tests of cerebellar connections., Results: Cerebellar-FPN and cerebellar-DMN connections did not demonstrate associations with ASD. Functional connectivity magnetic resonance imaging enrichment identified 6-month correlates of later ASD-associated behaviors in networks of a priori interest (FPN, DMN), as well as in cingulo-opercular (also implicated in error signaling) and medial visual networks. Post hoc tests did not suggest a role for cerebellar connections., Conclusions: We failed to identify cerebellar functional connectivity-based contributions to ASD. However, we observed prospective correlates of ASD-associated behaviors in networks that support EBL. Future studies may replicate and extend network-level positive results, and tests of the cerebellum may investigate brain-behavior associations at different developmental stages and/or using different neuroimaging modalities., (© 2021 The Authors.)
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- 2021
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38. Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018.
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Shaw KA, Maenner MJ, Bakian AV, Bilder DA, Durkin MS, Furnier SM, Hughes MM, Patrick M, Pierce K, Salinas A, Shenouda J, Vehorn A, Warren Z, Zahorodny W, Constantino JN, DiRienzo M, Esler A, Fitzgerald RT, Grzybowski A, Hudson A, Spivey MH, Ali A, Andrews JG, Baroud T, Gutierrez J, Hallas L, Hall-Lande J, Hewitt A, Lee LC, Lopez M, Mancilla KC, McArthur D, Pettygrove S, Poynter JN, Schwenk YD, Washington A, Williams S, and Cogswell ME
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- Autism Spectrum Disorder epidemiology, Child, Preschool, Early Diagnosis, Epidemiological Monitoring, Female, Humans, Male, United States epidemiology, Autism Spectrum Disorder diagnosis, Population Surveillance
- Abstract
Problem/condition: Autism spectrum disorder (ASD)., Period Covered: 2018., Description of System: The Autism and Developmental Disabilities Monitoring Network is an active surveillance program that estimates ASD prevalence and monitors timing of ASD identification among children aged 4 and 8 years. This report focuses on children aged 4 years in 2018, who were born in 2014 and had a parent or guardian who lived in the surveillance area in one of 11 sites (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin) at any time during 2018. Children were classified as having ASD if they ever received 1) an ASD diagnostic statement (diagnosis) in an evaluation, 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code. Suspected ASD also was tracked among children aged 4 years. Children who did not meet the case definition for ASD were classified as having suspected ASD if their records contained a qualified professional's statement indicating a suspicion of ASD., Results: For 2018, the overall ASD prevalence was 17.0 per 1,000 (one in 59) children aged 4 years. Prevalence varied from 9.1 per 1,000 in Utah to 41.6 per 1,000 in California. At every site, prevalence was higher among boys than girls, with an overall male-to-female prevalence ratio of 3.4. Prevalence of ASD among children aged 4 years was lower among non-Hispanic White (White) children (12.9 per 1,000) than among non-Hispanic Black (Black) children (16.6 per 1,000), Hispanic children (21.1 per 1,000), and Asian/Pacific Islander (A/PI) children (22.7 per 1,000). Among children aged 4 years with ASD and information on intellectual ability, 52% met the surveillance case definition of co-occurring intellectual disability (intelligence quotient ≤70 or an examiner's statement of intellectual disability documented in an evaluation). Of children aged 4 years with ASD, 72% had a first evaluation at age ≤36 months. Stratified by census-tract-level median household income (MHI) tertile, a lower percentage of children with ASD and intellectual disability was evaluated by age 36 months in the low MHI tertile (72%) than in the high MHI tertile (84%). Cumulative incidence of ASD diagnosis or eligibility received by age 48 months was 1.5 times as high among children aged 4 years (13.6 per 1,000 children born in 2014) as among those aged 8 years (8.9 per 1,000 children born in 2010). Across MHI tertiles, higher cumulative incidence of ASD diagnosis or eligibility received by age 48 months was associated with lower MHI. Suspected ASD prevalence was 2.6 per 1,000 children aged 4 years, meaning for every six children with ASD, one child had suspected ASD. The combined prevalence of ASD and suspected ASD (19.7 per 1,000 children aged 4 years) was lower than ASD prevalence among children aged 8 years (23.0 per 1,000 children aged 8 years)., Interpretation: Groups with historically lower prevalence of ASD (non-White and lower MHI) had higher prevalence and cumulative incidence of ASD among children aged 4 years in 2018, suggesting progress in identification among these groups. However, a lower percentage of children with ASD and intellectual disability in the low MHI tertile were evaluated by age 36 months than in the high MHI group, indicating disparity in timely evaluation. Children aged 4 years had a higher cumulative incidence of diagnosis or eligibility by age 48 months compared with children aged 8 years, indicating improvement in early identification of ASD. The overall prevalence for children aged 4 years was less than children aged 8 years, even when prevalence of children suspected of having ASD by age 4 years is included. This finding suggests that many children identified after age 4 years do not have suspected ASD documented by age 48 months., Public Health Action: Children born in 2014 were more likely to be identified with ASD by age 48 months than children born in 2010, indicating increased early identification. However, ASD identification among children aged 4 years varied by site, suggesting opportunities to examine developmental screening and diagnostic practices that promote earlier identification. Children aged 4 years also were more likely to have co-occurring intellectual disability than children aged 8 years, suggesting that improvement in the early identification and evaluation of developmental concerns outside of cognitive impairments is still needed. Improving early identification of ASD could lead to earlier receipt of evidence-based interventions and potentially improve developmental outcomes., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
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- 2021
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39. Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018.
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Maenner MJ, Shaw KA, Bakian AV, Bilder DA, Durkin MS, Esler A, Furnier SM, Hallas L, Hall-Lande J, Hudson A, Hughes MM, Patrick M, Pierce K, Poynter JN, Salinas A, Shenouda J, Vehorn A, Warren Z, Constantino JN, DiRienzo M, Fitzgerald RT, Grzybowski A, Spivey MH, Pettygrove S, Zahorodny W, Ali A, Andrews JG, Baroud T, Gutierrez J, Hewitt A, Lee LC, Lopez M, Mancilla KC, McArthur D, Schwenk YD, Washington A, Williams S, and Cogswell ME
- Subjects
- Autism Spectrum Disorder ethnology, Child, Epidemiological Monitoring, Ethnicity statistics & numerical data, Female, Geography, Humans, Male, Prevalence, Race Factors, Racial Groups statistics & numerical data, United States epidemiology, Autism Spectrum Disorder epidemiology, Health Status Disparities, Population Surveillance
- Abstract
Problem/condition: Autism spectrum disorder (ASD)., Period Covered: 2018., Description of System: The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts active surveillance of ASD. This report focuses on the prevalence and characteristics of ASD among children aged 8 years in 2018 whose parents or guardians lived in 11 ADDM Network sites in the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. In 2018, children met the case definition if their records documented 1) an ASD diagnostic statement in an evaluation (diagnosis), 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code., Results: For 2018, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 16.5 in Missouri to 38.9 in California. The overall ASD prevalence was 23.0 per 1,000 (one in 44) children aged 8 years, and ASD was 4.2 times as prevalent among boys as among girls. Overall ASD prevalence was similar across racial and ethnic groups, except American Indian/Alaska Native children had higher ASD prevalence than non-Hispanic White (White) children (29.0 versus 21.2 per 1,000 children aged 8 years). At multiple sites, Hispanic children had lower ASD prevalence than White children (Arizona, Arkansas, Georgia, and Utah), and non-Hispanic Black (Black) children (Georgia and Minnesota). The associations between ASD prevalence and neighborhood-level median household income varied by site. Among the 5,058 children who met the ASD case definition, 75.8% had a diagnostic statement of ASD in an evaluation, 18.8% had an ASD special education classification or eligibility and no ASD diagnostic statement, and 5.4% had an ASD ICD code only. ASD prevalence per 1,000 children aged 8 years that was based exclusively on documented ASD diagnostic statements was 17.4 overall (range: 11.2 in Maryland to 29.9 in California). The median age of earliest known ASD diagnosis ranged from 36 months in California to 63 months in Minnesota. Among the 3,007 children with ASD and data on cognitive ability, 35.2% were classified as having an intelligence quotient (IQ) score ≤70. The percentages of children with ASD with IQ scores ≤70 were 49.8%, 33.1%, and 29.7% among Black, Hispanic, and White children, respectively. Overall, children with ASD and IQ scores ≤70 had earlier median ages of ASD diagnosis than children with ASD and IQ scores >70 (44 versus 53 months)., Interpretation: In 2018, one in 44 children aged 8 years was estimated to have ASD, and prevalence and median age of identification varied widely across sites. Whereas overall ASD prevalence was similar by race and ethnicity, at certain sites Hispanic children were less likely to be identified as having ASD than White or Black children. The higher proportion of Black children compared with White and Hispanic children classified as having intellectual disability was consistent with previous findings., Public Health Action: The variability in ASD prevalence and community ASD identification practices among children with different racial, ethnic, and geographical characteristics highlights the importance of research into the causes of that variability and strategies to provide equitable access to developmental evaluations and services. These findings also underscore the need for enhanced infrastructure for diagnostic, treatment, and support services to meet the needs of all children., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
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- 2021
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40. Harnessing rare variants in neuropsychiatric and neurodevelopment disorders-a Keystone Symposia report.
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Cable J, Purcell RH, Robinson E, Vorstman JAS, Chung WK, Constantino JN, Sanders SJ, Sahin M, Dolmetsch RE, Shah BM, Thurm A, Martin CL, Bearden CE, and Mulle JG
- Subjects
- Humans, Mental Disorders diagnosis, Mental Disorders psychology, Neurodevelopmental Disorders diagnosis, Neurodevelopmental Disorders psychology, Congresses as Topic trends, Genetic Variation genetics, Mental Disorders genetics, Neurodevelopmental Disorders genetics, Penetrance, Research Report
- Abstract
Neurodevelopmental neuropsychiatric disorders, such as autism spectrum disorder and schizophrenia, have strong genetic risk components, but the underlying mechanisms have proven difficult to decipher. Rare, high-risk variants may offer an opportunity to delineate the biological mechanisms responsible more clearly for more common idiopathic diseases. Indeed, different rare variants can cause the same behavioral phenotype, demonstrating genetic heterogeneity, while the same rare variant can cause different behavioral phenotypes, demonstrating variable expressivity. These observations suggest convergent underlying biological and neurological mechanisms; identification of these mechanisms may ultimately reveal new therapeutic targets. At the 2021 Keystone eSymposium "Neuropsychiatric and Neurodevelopmental Disorders: Harnessing Rare Variants" a panel of experts in the field described significant progress in genomic discovery and human phenotyping and raised several consistent issues, including the need for detailed natural history studies of rare disorders, the challenges in cohort recruitment, and the importance of viewing phenotypes as quantitative traits that are impacted by rare variants., (© 2021 New York Academy of Sciences.)
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- 2021
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41. A MYT1L syndrome mouse model recapitulates patient phenotypes and reveals altered brain development due to disrupted neuronal maturation.
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Chen J, Lambo ME, Ge X, Dearborn JT, Liu Y, McCullough KB, Swift RG, Tabachnick DR, Tian L, Noguchi K, Garbow JR, Constantino JN, Gabel HW, Hengen KB, Maloney SE, and Dougherty JD
- Subjects
- Animals, Brain metabolism, Humans, Male, Mice, Nerve Tissue Proteins metabolism, Neurogenesis, Phenotype, Transcription Factors metabolism, Intellectual Disability genetics, Nerve Tissue Proteins genetics, Transcription Factors genetics
- Abstract
Human genetics have defined a new neurodevelopmental syndrome caused by loss-of-function mutations in MYT1L, a transcription factor known for enabling fibroblast-to-neuron conversions. However, how MYT1L mutation causes intellectual disability, autism, ADHD, obesity, and brain anomalies is unknown. Here, we developed a Myt1l haploinsufficient mouse model that develops obesity, white-matter thinning, and microcephaly, mimicking common clinical phenotypes. During brain development we discovered disrupted gene expression, mediated in part by loss of Myt1l gene-target activation, and identified precocious neuronal differentiation as the mechanism for microcephaly. In contrast, in adults we discovered that mutation results in failure of transcriptional and chromatin maturation, echoed in disruptions in baseline physiological properties of neurons. Myt1l haploinsufficiency also results in behavioral anomalies, including hyperactivity, muscle weakness, and social alterations, with more severe phenotypes in males. Overall, our findings provide insight into the mechanistic underpinnings of this disorder and enable future preclinical studies., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2021 Elsevier Inc. All rights reserved.)
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- 2021
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42. Response to "A Radical Change in Our Autism Research Strategy is Needed: Back to Prototypes" by Mottron et al. (2021).
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Constantino JN
- Subjects
- Attention, Humans, Research Design, Autism Spectrum Disorder, Autistic Disorder
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- 2021
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43. Genetic counseling as preventive intervention: toward individual specification of transgenerational autism risk.
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Marrus N, Turner TN, Forsen E, Bolster D, Marvin A, Whitehouse A, Klinger L, Gurnett CA, and Constantino JN
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- Genetic Counseling, Humans, Parents, Prospective Studies, Autism Spectrum Disorder epidemiology, Autism Spectrum Disorder genetics, Autistic Disorder epidemiology, Autistic Disorder genetics
- Abstract
Background: Although autism spectrum disorders (ASD) are among the most heritable of all neuropsychiatric syndromes, most affected children are born to unaffected parents. Recently, we reported an average increase of 3-5% over general population risk of ASD among offspring of adults who have first-degree relatives with ASD in a large epidemiologic family sample. A next essential step is to investigate whether there are measurable characteristics of individual parents placing them at higher or lower recurrence risk, as this information could allow more personalized genetic counseling., Methods: We assembled what is to our knowledge the largest collection of data on the ability of four measurable characteristics of unaffected prospective parents to specify risk for autism among their offspring: (1) sub clinical autistic trait burden, (2) parental history of a sibling with ASD, (3) transmitted autosomal molecular genetic abnormalities, and (4) parental age. Leveraging phenotypic and genetic data in curated family cohorts, we evaluate the respective associations between these factors and child outcome when autism is present in the family in the parental generation., Results: All four characteristics were associated with elevation in offspring risk; however, the magnitude of their predictive power-with the exception of isolated rare inherited pathogenic variants -does not yet reach a threshold that would typically be considered actionable for reproductive decision-making., Conclusions: Individual specification of risk to offspring of adults in ASD-affected families is not straightforwardly improved by ascertainment of parental phenotype, and it is not yet clear whether genomic screening of prospective parents in families affected by idiopathic ASD is warranted as a clinical standard. Systematic screening of affected family members for heritable pathogenic variants, including rare sex-linked mutations, will identify a subset of families with substantially elevated transmission risk. Polygenic risk scores are only weakly predictive at this time but steadily improving and ultimately may enable more robust prediction either singly or when combined with the risk variables examined in this study., (© 2021. The Author(s).)
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- 2021
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44. Altered neuronal physiology, development, and function associated with a common chromosome 15 duplication involving CHRNA7.
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Meganathan K, Prakasam R, Baldridge D, Gontarz P, Zhang B, Urano F, Bonni A, Maloney SE, Turner TN, Huettner JE, Constantino JN, and Kroll KL
- Subjects
- Humans, Male, Neurons, Phenotype, Chromosomes, Human, Pair 15 genetics, DNA Copy Number Variations, alpha7 Nicotinic Acetylcholine Receptor genetics
- Abstract
Background: Copy number variants (CNVs) linked to genes involved in nervous system development or function are often associated with neuropsychiatric disease. While CNVs involving deletions generally cause severe and highly penetrant patient phenotypes, CNVs leading to duplications tend instead to exhibit widely variable and less penetrant phenotypic expressivity among affected individuals. CNVs located on chromosome 15q13.3 affecting the alpha-7 nicotinic acetylcholine receptor subunit (CHRNA7) gene contribute to multiple neuropsychiatric disorders with highly variable penetrance. However, the basis of such differential penetrance remains uncharacterized. Here, we generated induced pluripotent stem cell (iPSC) models from first-degree relatives with a 15q13.3 duplication and analyzed their cellular phenotypes to uncover a basis for the dissimilar phenotypic expressivity., Results: The first-degree relatives studied included a boy with autism and emotional dysregulation (the affected proband-AP) and his clinically unaffected mother (UM), with comparison to unrelated control models lacking this duplication. Potential contributors to neuropsychiatric impairment were modeled in iPSC-derived cortical excitatory and inhibitory neurons. The AP-derived model uniquely exhibited disruptions of cellular physiology and neurodevelopment not observed in either the UM or unrelated controls. These included enhanced neural progenitor proliferation but impaired neuronal differentiation, maturation, and migration, and increased endoplasmic reticulum (ER) stress. Both the neuronal migration deficit and elevated ER stress could be selectively rescued by different pharmacologic agents. Neuronal gene expression was also dysregulated in the AP, including reduced expression of genes related to behavior, psychological disorders, neuritogenesis, neuronal migration, and Wnt, axonal guidance, and GABA receptor signaling. The UM model instead exhibited upregulated expression of genes in many of these same pathways, suggesting that molecular compensation could have contributed to the lack of neurodevelopmental phenotypes in this model. However, both AP- and UM-derived neurons exhibited shared alterations of neuronal function, including increased action potential firing and elevated cholinergic activity, consistent with increased homomeric CHRNA7 channel activity., Conclusions: These data define both diagnosis-associated cellular phenotypes and shared functional anomalies related to CHRNA7 duplication that may contribute to variable phenotypic penetrance in individuals with 15q13.3 duplication. The capacity for pharmacological agents to rescue some neurodevelopmental anomalies associated with diagnosis suggests avenues for intervention for carriers of this duplication and other CNVs that cause related disorders., (© 2021. The Author(s).)
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- 2021
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45. Distributional Properties and Criterion Validity of a Shortened Version of the Social Responsiveness Scale: Results from the ECHO Program and Implications for Social Communication Research.
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Lyall K, Hosseini M, Ladd-Acosta C, Ning X, Catellier D, Constantino JN, Croen LA, Kaat AJ, Botteron K, Bush NR, Dager SR, Duarte CS, Fallin MD, Hazlett H, Hertz-Picciotto I, Joseph RM, Karagas MR, Korrick S, Landa R, Messinger D, Oken E, Ozonoff S, Piven J, Pandey J, Sathyanarayana S, Schultz RT, St John T, Schmidt R, Volk H, and Newschaffer CJ
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- Adolescent, Area Under Curve, Child, Child, Preschool, Female, Humans, Male, Psychometrics, Reproducibility of Results, Autism Spectrum Disorder diagnosis, Communication, Psychiatric Status Rating Scales standards, Social Behavior
- Abstract
Prior work proposed a shortened version of the Social Responsiveness Scale (SRS), a commonly used quantitative measure of social communication traits. We used data from 3031 participants (including 190 ASD cases) from the Environmental Influences on Child Health Outcomes (ECHO) Program to compare distributional properties and criterion validity of 16-item "short" to 65-item "full" SRS scores. Results demonstrated highly overlapping distributions of short and full scores. Both scores separated case from non-case individuals by approximately two standard deviations. ASD prediction was nearly identical for short and full scores (area under the curve values of 0.87, 0.86 respectively). Findings support comparability of shortened and full scores, suggesting opportunities to increase efficiency. Future work should confirm additional psychometric properties of short scores.
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- 2021
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46. Clinical and Translational Implications of an Emerging Developmental Substructure for Autism.
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Constantino JN, Charman T, and Jones EJH
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- Humans, Autism Spectrum Disorder genetics, Autistic Disorder genetics
- Abstract
A vast share of the population-attributable risk for autism relates to inherited polygenic risk. A growing number of studies in the past five years have indicated that inherited susceptibility may operate through a finite number of early developmental liabilities that, in various permutations and combinations, jointly predict familial recurrence of the convergent syndrome of social communication disability that defines the condition. Here, we synthesize this body of research to derive evidence for a novel developmental substructure for autism, which has profound implications for ongoing discovery efforts to elucidate its neurobiological causes, and to inform future clinical and biomarker studies, early interventions, and personalized approaches to therapy.
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- 2021
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47. New guidance to seekers of autism biomarkers: an update from studies of identical twins.
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Constantino JN
- Subjects
- Autism Spectrum Disorder diagnosis, Autism Spectrum Disorder genetics, Biomarkers, Endophenotypes, Humans, Twins, Monozygotic, Autistic Disorder diagnosis, Autistic Disorder genetics
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Background: The autism spectrum disorders (ASD) are common neuropsychiatric conditions of childhood for which the vast proportion of population risk is attributable to inheritance, and for which there exist few if any replicated biomarkers., Main Body: This commentary summarizes a set of recent studies involving identical (monozygotic, MZ) twins which, taken together, have significant implications for the search for biomarkers of inherited susceptibility to autism. A first is that variation-in-severity of the condition (above the threshold for clinical diagnosis) appears more strongly influenced by stochastic/non-shared environmental influences than by heredity. Second is that there exist disparate early behavioral predictors of the familial recurrence of autism, which are themselves strongly genetically influenced but largely independent from one another. The nature of these postnatal predictors is that they are trait-like, continuously distributed in the general population, and largely independent from variation in general cognition, thereby reflecting a developmental substructure for familial autism. A corollary of these findings is that autism may arise as a developmental consequence of an allostatic load of earlier-occurring liabilities, indexed by early behavioral endophenotypes, in varying permutations and combinations. The clinical threshold can be viewed as a "tipping point" at which stochastic influences and/or other non-shared environmental influences assert much stronger influence on variation-in-severity (a) than do the genetic factors which contributed to the condition in the first place, and (b) than is observed in typical development., Conclusion: Biomarkers identified on the basis of association with clinical symptom severity in ASD may reflect effects rather than causes of autism. The search for biomarkers of pathogenesis may benefit from a greater focus on traits that predict autism recurrence, among both clinical and general populations. In case-control studies, salient developmental liabilities should be systematically measured in both cases and controls, to avoid the erosion in statistical power (i.e., to detect differences) that can occur if control subjects carry sub-clinical aggregations of the same unmeasured traits that exert causal influences on the development of autism.
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- 2021
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48. Autism in neurofibromatosis type 1: misuse of covariance to dismiss autistic trait burden.
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Morris SM, Acosta MT, Garg S, Green J, Legius E, North K, Payne JM, Weiss LA, Constantino JN, and Gutmann DH
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- Child, Humans, Phenotype, Attention Deficit Disorder with Hyperactivity, Autism Spectrum Disorder complications, Autistic Disorder etiology, Neurofibromatosis 1 complications
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- 2021
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49. The Impact of COVID-19 on Individuals With Intellectual and Developmental Disabilities: Clinical and Scientific Priorities.
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Constantino JN, Sahin M, Piven J, Rodgers R, and Tschida J
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- COVID-19, Health Priorities, Healthcare Disparities, Humans, Pandemics, United States epidemiology, Coronavirus Infections epidemiology, Developmental Disabilities, Intellectual Disability, Pneumonia, Viral epidemiology, Vulnerable Populations
- Published
- 2020
- Full Text
- View/download PDF
50. Brain function distinguishes female carriers and non-carriers of familial risk for autism.
- Author
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Eggebrecht AT, Dworetsky A, Hawks Z, Coalson R, Adeyemo B, Davis S, Gray D, McMichael A, Petersen SE, Constantino JN, and Pruett JR Jr
- Subjects
- Adult, Autistic Disorder diagnostic imaging, Brain diagnostic imaging, Female, Heterozygote, Humans, Magnetic Resonance Imaging, Middle Aged, Risk Factors, Young Adult, Autistic Disorder genetics, Autistic Disorder physiopathology, Brain physiopathology, Genetic Predisposition to Disease
- Abstract
Background: Autism spectrum disorder (ASD) is characterized by high population-level heritability and a three-to-one male-to-female ratio that occurs independent of sex linkage. Prior research in a mixed-sex pediatric sample identified neural signatures of familial risk elicited by passive viewing of point light motion displays, suggesting the possibility that both resilience and risk of autism might be associated with brain responses to biological motion. To confirm a relationship between these signatures and inherited risk of autism, we tested them in families enriched for genetic loading through undiagnosed ("carrier") females., Methods: Using functional magnetic resonance imaging, we examined brain responses to passive viewing of point light displays-depicting biological versus non-biological motion-in a sample of undiagnosed adult females enriched for inherited susceptibility to ASD on the basis of affectation in their respective family pedigrees. Brain responses in carrier females were compared to responses in age-, SRS-, and IQ-matched non-carrier-females-i.e., females unrelated to individuals with ASD. We conducted a hypothesis-driven analysis focused on previously published regions of interest as well as exploratory, brain-wide analyses designed to characterize more fully the rich responses to this paradigm., Results: We observed robust responses to biological motion. Notwithstanding, the 12 regions implicated by prior research did not exhibit the hypothesized interaction between group (carriers vs. controls) and point light displays (biological vs. non-biological motion). Exploratory, brain-wide analyses identified this interaction in three novel regions. Post hoc analyses additionally revealed significant variations in the time course of brain activation in 20 regions spanning occipital and temporal cortex, indicating group differences in response to point light displays (irrespective of the nature of motion) for exploration in future studies., Limitations: We were unable to successfully eye-track all participants, which prevented us from being able to control for potential differences in eye gaze position., Conclusions: These methods confirmed pronounced neural signatures that differentiate brain responses to biological and scrambled motion. Our sample of undiagnosed females enriched for family genetic loading enabled discovery of numerous contrasts between carriers and non-carriers of risk of ASD that may index variations in visual attention and motion processing related to genetic susceptibility and inform our understanding of mechanisms incurred by inherited liability for ASD.
- Published
- 2020
- Full Text
- View/download PDF
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