Search

Your search keyword '"Brooke Sheppard"' showing total 28 results
Start Over Author "Brooke Sheppard"
28 results on '"Brooke Sheppard"'

1. Whole-Genome and RNA Sequencing Reveal Variation and Transcriptomic Coordination in the Developing Human Prefrontal Cortex

Author

Donna M. Werling, Sirisha Pochareddy, Jinmyung Choi, Joon-Yong An, Brooke Sheppard, Minshi Peng, Zhen Li, Claudia Dastmalchi, Gabriel Santpere, André M.M. Sousa, Andrew T.N. Tebbenkamp, Navjot Kaur, Forrest O. Gulden, Michael S. Breen, Lindsay Liang, Michael C. Gilson, Xuefang Zhao, Shan Dong, Lambertus Klei, A. Ercument Cicek, Joseph D. Buxbaum, Homa Adle-Biassette, Jean-Leon Thomas, Kimberly A. Aldinger, Diana R. O’Day, Ian A. Glass, Noah A. Zaitlen, Michael E. Talkowski, Kathryn Roeder, Matthew W. State, Bernie Devlin, Stephan J. Sanders, and Nenad Sestan

Subjects
Biology (General), QH301-705.5
Abstract

Summary: Gene expression levels vary across developmental stage, cell type, and region in the brain. Genomic variants also contribute to the variation in expression, and some neuropsychiatric disorder loci may exert their effects through this mechanism. To investigate these relationships, we present BrainVar, a unique resource of paired whole-genome and bulk tissue RNA sequencing from the dorsolateral prefrontal cortex of 176 individuals across prenatal and postnatal development. Here we identify common variants that alter gene expression (expression quantitative trait loci [eQTLs]) constantly across development or predominantly during prenatal or postnatal stages. Both “constant” and “temporal-predominant” eQTLs are enriched for loci associated with neuropsychiatric traits and disorders and colocalize with specific variants. Expression levels of more than 12,000 genes rise or fall in a concerted late-fetal transition, with the transitional genes enriched for cell-type-specific genes and neuropsychiatric risk loci, underscoring the importance of cataloging developmental trajectories in understanding cortical physiology and pathology. : Werling et al. analyze gene expression across the span of human cerebral cortical development and profile the trajectories of individual genes, coordinated groups of genes, and their relationships to disorders. Integration of genetic variation identifies quantitative trait loci that implicate specific genes in loci associated with neuropsychiatric traits and disorders. Keywords: dorsolateral prefrontal cortex, DLPFC, fetal transition, BrainVar, PsychENCODE, prenatal eQTL, RHEBL1, mTOR, LOC101926933 RP11-298I3.1 AL132780.1 ENSG00000257285

Published
2020
Full Text
View/download PDF

2. Case-control meta-analysis of blood DNA methylation and autism spectrum disorder

Author

Shan V. Andrews, Brooke Sheppard, Gayle C. Windham, Laura A. Schieve, Diana E. Schendel, Lisa A. Croen, Pankaj Chopra, Reid S. Alisch, Craig J. Newschaffer, Stephen T. Warren, Andrew P. Feinberg, M. Daniele Fallin, and Christine Ladd-Acosta

Subjects
DNA methylation, Epigenome, Autism spectrum disorders, Peripheral blood, Study to Explore Early Development, Simons Simplex Collection, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Several reports have suggested a role for epigenetic mechanisms in ASD etiology. Epigenome-wide association studies (EWAS) in autism spectrum disorder (ASD) may shed light on particular biological mechanisms. However, studies of ASD cases versus controls have been limited by post-mortem timing and severely small sample sizes. Reports from in-life sampling of blood or saliva have also been very limited in sample size and/or genomic coverage. We present the largest case-control EWAS for ASD to date, combining data from population-based case-control and case-sibling pair studies. Methods DNA from 968 blood samples from children in the Study to Explore Early Development (SEED 1) was used to generate epigenome-wide array DNA methylation (DNAm) data at 485,512 CpG sites for 453 cases and 515 controls, using the Illumina 450K Beadchip. The Simons Simplex Collection (SSC) provided 450K array DNAm data on an additional 343 cases and their unaffected siblings. We performed EWAS meta-analysis across results from the two data sets, with adjustment for sex and surrogate variables that reflect major sources of biological variation and technical confounding such as cell type, batch, and ancestry. We compared top EWAS results to those from a previous brain-based analysis. We also tested for enrichment of ASD EWAS CpGs for being targets of meQTL associations using available SNP genotype data in the SEED sample. Findings In this meta-analysis of blood-based DNA from 796 cases and 858 controls, no single CpG met a Bonferroni discovery threshold of p

Published
2018
Full Text
View/download PDF

3. Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder

Author

Shan V. Andrews, Shannon E. Ellis, Kelly M. Bakulski, Brooke Sheppard, Lisa A. Croen, Irva Hertz-Picciotto, Craig J. Newschaffer, Andrew P. Feinberg, Dan E. Arking, Christine Ladd-Acosta, and M. Daniele Fallin

Subjects
Science
Abstract

“There have been a number of recent epigenetic studies on autism spectrum disorder. Here, the authors integrate genetic and epigenetic data from cord and peripheral blood and also from brain tissues to show the potential of blood-based epigenetic data to provide insights into psychiatric disorders.”

Published
2017
Full Text
View/download PDF

4. Partitioning the heritability of Tourette syndrome and obsessive compulsive disorder reveals differences in genetic architecture.

Author

Lea K Davis, Dongmei Yu, Clare L Keenan, Eric R Gamazon, Anuar I Konkashbaev, Eske M Derks, Benjamin M Neale, Jian Yang, S Hong Lee, Patrick Evans, Cathy L Barr, Laura Bellodi, Fortu Benarroch, Gabriel Bedoya Berrio, Oscar J Bienvenu, Michael H Bloch, Rianne M Blom, Ruth D Bruun, Cathy L Budman, Beatriz Camarena, Desmond Campbell, Carolina Cappi, Julio C Cardona Silgado, Danielle C Cath, Maria C Cavallini, Denise A Chavira, Sylvain Chouinard, David V Conti, Edwin H Cook, Vladimir Coric, Bernadette A Cullen, Dieter Deforce, Richard Delorme, Yves Dion, Christopher K Edlund, Karin Egberts, Peter Falkai, Thomas V Fernandez, Patience J Gallagher, Helena Garrido, Daniel Geller, Simon L Girard, Hans J Grabe, Marco A Grados, Benjamin D Greenberg, Varda Gross-Tsur, Stephen Haddad, Gary A Heiman, Sian M J Hemmings, Ana G Hounie, Cornelia Illmann, Joseph Jankovic, Michael A Jenike, James L Kennedy, Robert A King, Barbara Kremeyer, Roger Kurlan, Nuria Lanzagorta, Marion Leboyer, James F Leckman, Leonhard Lennertz, Chunyu Liu, Christine Lochner, Thomas L Lowe, Fabio Macciardi, James T McCracken, Lauren M McGrath, Sandra C Mesa Restrepo, Rainald Moessner, Jubel Morgan, Heike Muller, Dennis L Murphy, Allan L Naarden, William Cornejo Ochoa, Roel A Ophoff, Lisa Osiecki, Andrew J Pakstis, Michele T Pato, Carlos N Pato, John Piacentini, Christopher Pittenger, Yehuda Pollak, Scott L Rauch, Tobias J Renner, Victor I Reus, Margaret A Richter, Mark A Riddle, Mary M Robertson, Roxana Romero, Maria C Rosàrio, David Rosenberg, Guy A Rouleau, Stephan Ruhrmann, Andres Ruiz-Linares, Aline S Sampaio, Jack Samuels, Paul Sandor, Brooke Sheppard, Harvey S Singer, Jan H Smit, Dan J Stein, E Strengman, Jay A Tischfield, Ana V Valencia Duarte, Homero Vallada, Filip Van Nieuwerburgh, Jeremy Veenstra-Vanderweele, Susanne Walitza, Ying Wang, Jens R Wendland, Herman G M Westenberg, Yin Yao Shugart, Euripedes C Miguel, William McMahon, Michael Wagner, Humberto Nicolini, Danielle Posthuma, Gregory L Hanna, Peter Heutink, Damiaan Denys, Paul D Arnold, Ben A Oostra, Gerald Nestadt, Nelson B Freimer, David L Pauls, Naomi R Wray, S Evelyn Stewart, Carol A Mathews, James A Knowles, Nancy J Cox, and Jeremiah M Scharf

Subjects
Genetics, QH426-470
Abstract

The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained by all SNPs for two phenotypically-related neurobehavioral disorders, obsessive-compulsive disorder (OCD) and Tourette Syndrome (TS), using GCTA. Our analysis yielded a heritability point estimate of 0.58 (se = 0.09, p = 5.64e-12) for TS, and 0.37 (se = 0.07, p = 1.5e-07) for OCD. In addition, we conducted multiple genomic partitioning analyses to identify genomic elements that concentrate this heritability. We examined genomic architectures of TS and OCD by chromosome, MAF bin, and functional annotations. In addition, we assessed heritability for early onset and adult onset OCD. Among other notable results, we found that SNPs with a minor allele frequency of less than 5% accounted for 21% of the TS heritability and 0% of the OCD heritability. Additionally, we identified a significant contribution to TS and OCD heritability by variants significantly associated with gene expression in two regions of the brain (parietal cortex and cerebellum) for which we had available expression quantitative trait loci (eQTLs). Finally we analyzed the genetic correlation between TS and OCD, revealing a genetic correlation of 0.41 (se = 0.15, p = 0.002). These results are very close to previous heritability estimates for TS and OCD based on twin and family studies, suggesting that very little, if any, heritability is truly missing (i.e., unassayed) from TS and OCD GWAS studies of common variation. The results also indicate that there is some genetic overlap between these two phenotypically-related neuropsychiatric disorders, but suggest that the two disorders have distinct genetic architectures.

Published
2013
Full Text
View/download PDF

5. Comorbidity and patterns of familial aggregation in attention-deficit/hyperactivity disorder and bipolar disorder in a family study of affective and anxiety spectrum disorders

Author

Anna Van Meter, Lihong Cui, Kathleen R. Merikangas, Rachel F.L. Walsh, Cortlyn Brown, and Brooke Sheppard

Subjects
medicine.medical_specialty, Bipolar Disorder, Bipolar I disorder, Comorbidity, Anxiety, 03 medical and health sciences, Bipolar II disorder, 0302 clinical medicine, mental disorders, medicine, Humans, Attention deficit hyperactivity disorder, Bipolar disorder, First-degree relatives, Child, Psychiatry, Biological Psychiatry, business.industry, Family aggregation, medicine.disease, Anxiety Disorders, 030227 psychiatry, Psychiatry and Mental health, Attention Deficit Disorder with Hyperactivity, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract

The aim of this study is to examine the familial aggregation of Attention-deficit/hyperactivity disorder (ADHD) and its cross-transmission with bipolar disorder (BD) in a community-based family study of mood spectrum disorders. A clinically-enriched community sample of 562 probands recruited from the greater Washington, DC metropolitan area and their 698 directly interviewed relatives were included in analyses. Inclusion criteria were English speaking and consent to contact at least two first-degree relatives. Standard family study methodology was used and DSM-IV classified mental disorders were ascertained through a best-estimate procedure based on direct semi-structured interviews and multiple family history reports. There was specificity of familial aggregation of both bipolar I disorder (BD I) and bipolar II disorder (BD II) (i.e., BD I OR = 6.08 [1.66, 22.3]; BD II OR = 2.98 [1.11, 7.96]) and ADHD (ADHD OR = 2.13 [1.16, 3.95]). However, there was no evidence for cross-transmission of BD and ADHD in first degree relatives (i.e., did not observe increased rates of BD in relatives of those with ADHD and vice versa; all ps > 0.05). The specificity of familial aggregation of ADHD and BD alongside the absence of shared familial risk are consistent with the notion that the comorbidity between ADHD and BD may be attributable to diagnostic artifact, could represent a distinct BD suptype characterized by childhood-onset symptoms, or the possibility that attention problems serve as a precursor or consequence of BD.

Published
2020

6. Developmental dynamics of voltage-gated sodium channel isoform expression in the human and mouse brain

Author

Nenad Sestan, Donna M. Werling, Brooke Sheppard, Kevin J. Bender, Atehsa Sahagun, Sirisha Pochareddy, Forrest O. Gulden, Siavash Fazel Darbandi, Lindsay Liang, John L.R. Rubenstein, Michael C. Gilson, Stephen Sanders, and Joon Yong An

Subjects
Isoform, Developmental delay, Exon 5A, Intellectual disability, Voltage-Gated Sodium Channels, Exon 5N, QH426-470, Neurodegenerative, Splicing, SCN3A, Exon, Mice, Autism spectrum disorder, Genetics (clinical), Genetics, Cerebral Cortex, Neocortex, Epileptic encephalopathy, Brain, Human brain, Exons, Phenotype, medicine.anatomical_structure, Multigene Family, RNA splicing, Neurological, Medicine, Molecular Medicine, Disease Susceptibility, Protein Binding, Gene isoform, 1.1 Normal biological development and functioning, Quantitative Trait Loci, Clinical Sciences, Biology, Structure-Activity Relationship, Open Reading Frames, Genetic, Seizures, Underpinning research, medicine, Voltage-gated sodium channel, Animals, Humans, Polymorphism, Molecular Biology, Gene, Polymorphism, Genetic, Epilepsy, Research, Neurosciences, Introns, Brain Disorders, Alternative Splicing, Gene Expression Regulation, Biomarkers
Abstract

BackgroundGenetic variants in the voltage-gated sodium channelsSCN1A,SCN2A,SCN3A, andSCN8Aare leading causes of epilepsy, developmental delay, and autism spectrum disorder. The mRNA splicing patterns of all four genes vary across development in the rodent brain, including mutually exclusive copies of the fifth protein-coding exon detected in the neonate (5N) and adult (5A). A second pair of mutually exclusive exons is reported inSCN8Aonly (18N and 18A). We aimed to quantify the expression of individual exons in the developing human brain.MethodsRNA-seq data from 783 human brain samples across development were analyzed to estimate exon-level expression. Developmental changes in exon utilization were validated by assessing intron splicing. Exon expression was also estimated in RNA-seq data from 58 developing mouse neocortical samples.ResultsIn the mature human neocortex, exon 5A is consistently expressed at least 4-fold higher than exon 5N in all four genes. ForSCN2A,SCN3A, andSCN8A, a brain-wide synchronized 5N to 5A transition occurs between 24 post-conceptual weeks (2nd trimester) and 6 years of age. In mice, the equivalent 5N to 5A transition begins at or before embryonic day 15.5. InSCN8A, over 90% of transcripts in the mature human cortex include exon 18A. Early in fetal development, most transcripts include 18N or skip both 18N and 18A, with a transition to 18A inclusion occurring from 13 post-conceptual weeks to 6 months of age. No other protein-coding exons showed comparably dynamic developmental trajectories.ConclusionsExon usage inSCN1A,SCN2A,SCN3A, andSCN8Achanges dramatically during human brain development. These splice isoforms, which alter the biophysical properties of the encoded channels, may account for some of the observed phenotypic differences across development and between specific variants. Manipulation of the proportion of splicing isoforms at appropriate stages of development may act as a therapeutic strategy for specific mutations or even epilepsy in general.

Published
2021

7. A model and test for coordinated polygenic epistasis in complex traits

Author

Noah Zaitlen, Po-Ru Loh, Nadav Rappoport, Stephen Sanders, Brooke Sheppard, and Andrew Dahl

Subjects
epistasis, Multifactorial Inheritance, polygenic risk, Evolution, Computer science, Population, Computational biology, Evolution, Molecular, Quantitative Trait, Quantitative Trait, Heritable, Genetic, Models, Genetics, 2.1 Biological and endogenous factors, Humans, Genetic Predisposition to Disease, genetics, Aetiology, education, Heritable, education.field_of_study, Multidisciplinary, Models, Genetic, Prove it, Molecular, Epistasis, Genetic, Biological Sciences, Penetrance, Genetic architecture, Good Health and Well Being, Epistasis, Polygenic risk score
Abstract

Significance Systems-level interactions across physiological pathways, cell types, and tissues are core biological elements widely studied across diverse fields including evolution, systems biology, and model-organism genetics. However, they are essentially ignored in human genetics, and existing approaches fail to interpretably explain substantial complex trait heritability. Here, we propose the coordinated epistasis model of complex phenotypes that generalizes several recently proposed theoretical epistatic architectures of human traits. Broadly, coordination measures the degree to which epistasis effects act in concert with respect to marginal effects. It summarizes a dimension of polygenic effects orthogonal to parameters like heritability and standard estimates of epistasis., Interactions between genetic variants—epistasis—is pervasive in model systems and can profoundly impact evolutionary adaption, population disease dynamics, genetic mapping, and precision medicine efforts. In this work, we develop a model for structured polygenic epistasis, called coordinated epistasis (CE), and prove that several recent theories of genetic architecture fall under the formal umbrella of CE. Unlike standard epistasis models that assume epistasis and main effects are independent, CE captures systematic correlations between epistasis and main effects that result from pathway-level epistasis, on balance skewing the penetrance of genetic effects. To test for the existence of CE, we propose the even-odd (EO) test and prove it is calibrated in a range of realistic biological models. Applying the EO test in the UK Biobank, we find evidence of CE in 18 of 26 traits spanning disease, anthropometric, and blood categories. Finally, we extend the EO test to tissue-specific enrichment and identify several plausible tissue–trait pairs. Overall, CE is a dimension of genetic architecture that can capture structured, systemic forms of epistasis in complex human traits.

Published
2021

8. Coordinated Interaction: A model and test for globally signed epistasis in complex traits

Author

Stephen Sanders, Brooke Sheppard, Noah Zaitlen, Nadav Rappoport, Dahl A, and Po-Ru Loh

Subjects
0303 health sciences, education.field_of_study, Population, Prove it, Single-nucleotide polymorphism, Computational biology, Biology, Penetrance, Genetic architecture, Test (assessment), 03 medical and health sciences, 0302 clinical medicine, Gene mapping, Epistasis, education, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

Interactions between genetic variants – epistasis – is pervasive in model systems and can profoundly impact evolutionary adaption, population disease dynamics, genetic mapping, and precision medicine efforts. In this work we develop a model for structured polygenic epistasis, calledCoordinated Interaction(CI), and prove that several recent theories of genetic architecture fall under the formal umbrella of CI. Unlike standard polygenic epistasis models that assume interaction and main effects are independent, in the CI model, sets of SNPs broadly interact positively or negatively, on balance skewing the penetrance of main genetic effects. To test for the existence of CI we propose theeven-odd(EO) test and prove it is calibrated in a range of realistic biological models. Applying the EO test in the UK Biobank, we find evidence of CI in 14 of 26 traits spanning disease, anthropometric, and blood categories. Finally, we extend the EO test to tissue-specific enrichment and identify several plausible tissue-trait pairs. Overall, CI is a new dimension of genetic architecture that can capture structured, systemic interactions in complex human traits.

Published
2020
Full Text
View/download PDF

9. Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

Author

Gail E. Herman, Jennifer Reichert, Camilla Stoltenberg, Stephen Sanders, Menachem Fromer, Branko Aleksic, Julian Maller, Rachel Nguyen, Utku Norman, J. Jay Gargus, Donna M. Werling, David J. Cutler, Silvia De Rubeis, Kathryn Roeder, Ryan N. Doan, Sherif Gerges, Joseph D. Buxbaum, Per Magnus, Patrick Turley, Moyra Smith, Isaac N. Pessah, Rebecca J. Schmidt, Chiara Fallerini, Michael E. Talkowski, Carla Lintas, Pål Surén, Paige M. Siper, Duncan S. Palmer, Timothy W. Yu, Michael S. Breen, Sven Sandin, Esben Agerbo, Rich Belliveau, Antonio M. Persico, Elaine Cristina Zachi, Matthew W. State, Karoline Teufel, Margaret A. Pericak-Vance, Caitlin E. Carey, Ryan Collins, Lambertus Klei, Lara Tang, Mads V. Hollegaard, Ole Mors, Iuliana Ionita-Laza, Elisa Giorgio, Astanand Jugessur, Gerry Schellenberg, Christopher A. Walsh, A. Ercument Cicek, Caroline Dias, Gun Peggy Knudsen, Louise Gallagher, Elise B. Robinson, Abraham Reichenberg, Judith Miller, Ashley Dumont, Flora Tassone, Grace Schwartz, Peter Szatmari, Jacqueline I. Goldstein, Evelise Riberi, Brian H.Y. Chung, Stephen W. Scherer, Fátima Lopes, Jesslyn Jamison, Thomas Werge, Mara Parellada, Gabriela Soares, Hilary Coon, Shan Dong, Terho Lehtimäki, Norio Ozaki, Lauren A. Weiss, Susan L. Santangelo, F. Kyle Satterstrom, Daniel P. Howrigan, Emily Hansen-Kiss, Anders D. Børglum, Vivek Appadurai, Maria Rita Passos-Bueno, Hailiang Huang, Marcus C.Y. Chan, Eric M. Morrow, Stephen J. Guter, Catalina Betancur, Ditte Demontis, Matthew W. Mosconi, Pierandrea Muglia, Joanna Martin, Jack A. Kosmicki, Christine M. Freitag, Suma Jacob, W. Ian Lipkin, Angel Carracedo, Mark J. Daly, Andreas G. Chiocchetti, Eduarda Montenegro M. de Souza, Carsten Bøcker Pedersen, Isabela Maya Wahys Silva, Elizabeth E. Guerrero, Mafalda Barbosa, A. Jeremy Willsey, Maureen Mulhern, Claire Churchhouse, Raymond K. Walters, Timothy Poterba, Alessandra Renieri, Emilie M. Wigdor, Lauren M. Schmitt, Jennifer L. Moran, Mullin H.C. Yu, Edwin H. Cook, Jiebiao Wang, Behrang Mahjani, Kaitlin E. Samocha, Kaija Puura, Xin He, Ezra Susser, Aarno Palotie, Bernardo Dalla Bernardina, Montserrat Fernández-Prieto, Thomas Damm Als, Mykyta Artomov, Emma Wilkinson, Mads E. Hauberg, Enrico Domenici, Joon Yong An, Christine Søholm Hansen, Somer L. Bishop, Idan Menashe, So Lun Lee, Marianne Giørtz Pedersen, Alfredo Brusco, Nancy J. Minshew, Michael E. Zwick, Jesper Buchhave Poulsen, Elaine T. Lim, Benjamin M. Neale, Harrison Brand, Danielle Halpern, Elisabetta Trabetti, Alexander Kolevzon, Christine Stevens, Aurora Currò, Miia Kaartinen, Gal Meiri, Richard Anney, Søren Dalsgaard, Minshi Peng, Kimberly Chambert, Brooke Sheppard, Yunin Ludena, James S. Sutcliffe, Marie Bækvad-Hansen, Xinyi Xu, Audrey Thurm, Itaru Kushima, Michael Gill, Irva Hertz-Picciotto, Jonatan Pallesen, Stephan Ripke, Dara S. Manoach, Giovanni Battista Ferrero, Nell Maltman, Michael L. Cuccaro, David M. Hougaard, Javier González-Peñas, Wesley K. Thompson, Felecia Cerrato, Danielle de Paula Moreira, Jonas Bybjerg-Grauholm, Alicia R. Martin, Merete Nordentoft, John A. Sweeney, Alfonso Buil, Tarjinder Singh, Bernie Devlin, Jakob Grove, Daniel H. Geschwind, Manuel Mattheisen, Patrícia Maciel, Preben Bo Mortensen, Andrew J. Schork, Ryan Yuen, Christina M. Hultman, Maria del Pilar Trelles, Aparna Bhaduri, Sabine Schlitt, Diego Lopergolo, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Carnegie Mellon University [Pittsburgh] (CMU), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University of California [San Francisco] (UCSF), University of California, Korea University [Seoul], The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University [Aarhus], Center for Genomics and Personalized Medicine [Aarhus, Denmark] (CGPM), University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE), Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research [San Francisco, CA, USA], Bilkent University [Ankara], University of California [Irvine] (UCI), Medical Investigation of Neurodevelopmental Disorders Institute [Davis, CA, USA] (MIND), University of California [Davis] (UC Davis), University of California-University of California, Boston Children's Hospital, Génétique de l'autisme = Genetics of Autism (NPS-01), Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), 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)-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)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), 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)-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)-Centre National de la Recherche Scientifique (CNRS), University of Illinois [Chicago] (UIC), University of Illinois System, Trinity College Dublin, Vanderbilt University School of Medicine [Nashville], National Institute of Mental Health (NIMH), Emory University School of Medicine, Emory University [Atlanta, GA], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki-University of Helsinki, Autism Sequencing Consortium : Branko Aleksic, Richard Anney, Mafalda Barbosa, Somer Bishop, Alfredo Brusco, Jonas Bybjerg-Grauholm, Angel Carracedo, Marcus C.Y. Chan, Andreas G. Chiocchetti, Brian H.Y. Chung, Hilary Coon, Michael L. Cuccaro, Aurora Curro´ , Bernardo Dalla Bernardina, Ryan Doan, Enrico Domenici, Shan Dong, Chiara Fallerini, Montserrat Ferna´ ndez-Prieto, Giovanni Battista Ferrero, Christine M. Freitag, Menachem Fromer, J. Jay Gargus, Daniel Geschwind, Elisa Giorgio, Javier Gonza´ lez-Pen˜ as, Stephen Guter, Danielle Halpern, Emily HansenKiss, Xin He, Gail E. Herman, Irva Hertz-Picciotto, David M. Hougaard, Christina M. Hultman, Iuliana Ionita-Laza, Suma Jacob, Jesslyn Jamison, Astanand Jugessur, Miia Kaartinen, Gun Peggy Knudsen, Alexander Kolevzon, Itaru Kushima, So Lun Lee, Terho Lehtima¨ ki, Elaine T. Lim, Carla Lintas, W. Ian Lipkin, Diego Lopergolo, Fa´ tima Lopes, Yunin Ludena, Patricia Maciel, Per Magnus, Behrang Mahjani, Nell Maltman, Dara S. Manoach, Gal Meiri, Idan Menashe, Judith Miller, Nancy Minshew, Eduarda M.S. Montenegro, Danielle Moreira, Eric M. Morrow, Ole Mors, Preben Bo Mortensen, Matthew Mosconi, Pierandrea Muglia, Benjamin M. Neale, Merete Nordentoft, Norio Ozaki, Aarno Palotie, Mara Parellada, Maria Rita Passos-Bueno, Margaret Pericak-Vance, Antonio M. Persico, Isaac Pessah, Kaija Puura, Abraham Reichenberg, Alessandra Renieri, Evelise Riberi, Elise B. Robinson, Kaitlin E. Samocha, Sven Sandin, Susan L. Santangelo, Gerry Schellenberg, Stephen W. Scherer, Sabine Schlitt, Rebecca Schmidt, Lauren Schmitt, Isabela M.W. Silva, Tarjinder Singh, Paige M. Siper, Moyra Smith, Gabriela Soares, Camilla Stoltenberg, Pa˚ l Suren, Ezra Susser, John Sweeney, Peter Szatmari, Lara Tang, Flora Tassone, Karoline Teufel, Elisabetta Trabetti, Maria del Pilar Trelles, Christopher A. Walsh, Lauren A. Weiss, Thomas Werge, Donna M. Werling, Emilie M. Wigdor, Emma Wilkinson, A. Jeremy Willsey, Timothy W. Yu, Mullin H.C. Yu, Ryan Yuen, and Elaine Zachi. and iPSYCH-Broad Consortium : e Esben Agerbo, Thomas Damm Als, Vivek Appadurai, Marie Bækvad-Hansen, Rich Belliveau, Alfonso Buil, Caitlin E. Carey, Felecia Cerrato, Kimberly Chambert, Claire Churchhouse, Søren Dalsgaard, Ditte Demontis, Ashley Dumont, Jacqueline Goldstein, Christine S. Hansen, Mads Engel Hauberg, Mads V. Hollegaard, Daniel P. Howrigan, Hailiang Huang, Julian Maller, Alicia R. Martin, Joanna Martin, Manuel Mattheisen, Jennifer Moran, Jonatan Pallesen, Duncan S. Palmer, Carsten Bøcker Pedersen, Marianne Giørtz Pedersen, Timothy Poterba, Jesper Buchhave Poulsen, Stephan Ripke, Andrew J. Schork, Wesley K. Thompson, Patrick Turley, and Raymond K. Walters., Norman, Utku, Çicek, A. Ercüment, Betancur, Catalina, University of California [San Francisco] (UC San Francisco), University of California (UC), University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), Neuroscience Paris Seine (NPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki

Subjects
Male, INTELLECTUAL DISABILITY, genetic structures, MESH: Neurons, Genome-wide association study, [SDV.GEN] Life Sciences [q-bio]/Genetics, Whole Exome Sequencing, Cohort Studies, 0302 clinical medicine, Gene Frequency, Neurobiology, MESH: Gene Expression Regulation, Developmental, Spectrum disorder, Exome, Developmental, genetics, Copy-number variation, excitatory-inhibitory balance, MESH: Cohort Studies, Exome sequencing, Genetics, Cerebral Cortex, Neurons, 0303 health sciences, MESH: Exome, autism spectrum disorder, cell type, cytoskeleton, excitatory neurons, exome sequencing, inhibitory neurons, liability, neurodevelopment, MESH: Genetic Predisposition to Disease, MESH: Case-Control Studies, Phenotype, Autism spectrum disorder, Female, Single-Cell Analysis, AGED 8 YEARS, MESH: Autistic Disorder, UNITED-STATES, GENETIC RISK, Biology, MESH: Phenotype, behavioral disciplines and activities, SAND DOMAIN, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Sex Factors, MESH: Sex Factors, MESH: Whole Exome Sequencing, MESH: Neurobiology, mental disorders, medicine, MESH: Gene Frequency, Humans, Cell Lineage, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Autistic Disorder, Allele frequency, Case-Control Studies, Mutation, Missense, Gene Expression Regulation, Developmental, SPECTRUM DISORDER, COPY NUMBER VARIATION, 030304 developmental biology, MESH: Mutation, Missense, [SDV.GEN]Life Sciences [q-bio]/Genetics, MESH: Humans, MESH: Cell Lineage, medicine.disease, MESH: Male, MESH: Cerebral Cortex, DISABILITIES MONITORING NETWORK, Gene Expression Regulation, DE-NOVO MUTATIONS, Mutation, Autism, Missense, MESH: Female, 030217 neurology & neurosurgery, MESH: Single-Cell Analysis
Abstract

International audience; We present the largest exome sequencing study of autism spectrum disorder (ASD) to date (n = 35,584 total samples, 11,986 with ASD). Using an enhanced analytical framework to integrate de novo and case-control rare variation, we identify 102 risk genes at a false discovery rate of 0.1 or less. Of these genes, 49 show higher frequencies of disruptive de novo variants in individuals ascertained to have severe neurodevelopmental delay, whereas 53 show higher frequencies in individuals ascertained to have ASD; comparing ASD cases with mutations in these groups reveals phenotypic differences. Expressed early in brain development, most risk genes have roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fall within loci recurrently hit by copy number variants. In cells from the human cortex, expression of risk genes is enriched in excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.

Published
2020

10. Whole-genome and RNA sequencing reveal variation and transcriptomic coordination in the developing human prefrontal cortex

Author

Michael C. Gilson, Forrest O. Gulden, Zhen Li, Jean-Leon Thomas, Claudia Dastmalchi, Stephen Sanders, Joseph D. Buxbaum, Matthew W. State, Donna M. Werling, Minshi Peng, Navjot Kaur, André M. M. Sousa, Kathryn Roeder, Ian A. Glass, Michael E. Talkowski, Lambertus Klei, Diana R. O’Day, Shan Dong, Lindsay Liang, Xuefang Zhao, Sirisha Pochareddy, Kimberly A. Aldinger, Brooke Sheppard, Bernie Devlin, Gabriel Santpere, A. Ercument Cicek, Homa Adle-Biassette, Joon Yong An, Andrew T.N. Tebbenkamp, Jinmyung Choi, Noah Zaitlen, Michael S. Breen, Nenad Sestan, and Çiçek, A. Ercüment

Subjects
0301 basic medicine, PsychENCODE, Medical Physiology, DLPFC, Genome, Whole Exome Sequencing, Transcriptome, 0302 clinical medicine, fetal transition, Databases, Genetic, Gene expression, 2.1 Biological and endogenous factors, Aetiology, Prefrontal cortex, lcsh:QH301-705.5, Pediatric, Genetics, dorsolateral prefrontal cortex, 0303 health sciences, Brain, Genomics, Single Nucleotide, Human Fetal Tissue, Phenotype, medicine.anatomical_structure, prenatal eQTL, Prenatal eQTL, mTOR, Dorsolateral prefrontal cortex, BrainVar, Haploinsufficiency, Sequence Analysis, Neurotypical, Biotechnology, Quantitative Trait Loci, Prefrontal Cortex, LOC101926933 RP11-298I3.1 AL132780.1 ENSG00000257285, Biology, Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, Databases, 03 medical and health sciences, Genetic, Exome Sequencing, medicine, Humans, Genetic Predisposition to Disease, RHEBL1, Polymorphism, Gene, 030304 developmental biology, Whole genome sequencing, Base Sequence, Whole Genome Sequencing, Sequence Analysis, RNA, Human Genome, Neurosciences, Computational Biology, Genetic Variation, Fetal transition, Brain Disorders, 030104 developmental biology, lcsh:Biology (General), Expression quantitative trait loci, RNA, Biochemistry and Cell Biology, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

SUMMARY Gene expression levels vary across developmental stage, cell type, and region in the brain. Genomic variants also contribute to the variation in expression, and some neuropsychiatric disorder loci may exert their effects through this mechanism. To investigate these relationships, we present BrainVar, a unique resource of paired whole-genome and bulk tissue RNA sequencing from the dorsolateral prefrontal cortex of 176 individuals across prenatal and postnatal development. Here we identify common variants that alter gene expression (expression quantitative trait loci [eQTLs]) constantly across development or predominantly during prenatal or postnatal stages. Both “constant” and “temporal-predominant” eQTLs are enriched for loci associated with neuropsychiatric traits and disorders and colocalize with specific variants. Expression levels of more than 12,000 genes rise or fall in a concerted late-fetal transition, with the transitional genes enriched for cell-type-specific genes and neuropsychiatric risk loci, underscoring the importance of cataloging developmental trajectories in understanding cortical physiology and pathology., In Brief Werling et al. analyze gene expression across the span of human cerebral cortical development and profile the trajectories of individual genes, coordinated groups of genes, and their relationships to disorders. Integration of genetic variation identifies quantitative trait loci that implicate specific genes in loci associated with neuropsychiatric traits and disorders., Graphical Abstract

Published
2019

11. Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

Author

Evelise Riber, Suma Jacob, Isabela Maya Wahys Silva, Edwin H. Cook, Jennifer Reichert, Merete Nordentoft, Jiebiao Wang, Kaitlin E. Samocha, John A. Sweeney, Elaine Cristina Zachi, Brooke Sheppard, Yunin Ludena, Maureen Mulhern, Lambertus Klei, Christina M. Hultman, Branko Aleksic, Paige M. Siper, Nell Maltman, Fátima Lopes, Jesslyn Jamison, Astanand Jugessur, Timothy W. Yu, F. Kyle Satterstrom, Tarjinder Singh, Bernie Devlin, Per Magnus, Mara Parellada, Louise Gallagher, Christine Stevens, Susan L. Santangelo, David J. Cutler, Shan Dong, Margaret A. Pericak-Vance, Norio Ozaki, Camilla Stoltenberg, Matthew W. State, Emma Wilkinson, Lauren A. Weiss, Michael L. Cuccaro, Stephen Sanders, Aparna Bhaduri, Brian H.Y. Chung, Maria del Pilar Trelles, Ezra Susser, Somer L. Bishop, Catalina Betancur, Donna M. Werling, Sabine Schlitt, Diego Lopergolo, Abraham Reichenberg, Judith Miller, Gabriela Soares, Karoline Teufel, David M. Hougaard, Enrico Domenici, Thomas Werge, Terho Lehtimäki, Sherif Gerges, Audrey Thurm, Emily Hansen-Kiss, Christopher T. Walsh, Michael Gill, Maria Rita Passos-Bueno, Aurora Currò, Utku Norman, Nancy J. Minshew, Harrison Brand, Elisa Giorgio, A. Ercument Cicek, Elaine T. Lim, Joseph D. Buxbaum, Chiara Fallerini, Caroline Dias, Miia Kaartinen, Gal Meiri, Rachel Nguyen, Isaac N. Pessah, J. Jay Gargus, Ryan N. Doan, Minshi Peng, Matthew W. Mosconi, Elizabeth E. Guerrero, Michael E. Talkowski, Iuliana Ionita-Laza, Carla Lintas, Gerry Schellenberg, Alessandra Renieri, Marcus C.Y. Chan, Stephen J. Guter, Danielle Halpern, Javier González-Peñas, Flora Tassone, So Lun Lee, Elise B. Robinson, Alfredo Brusco, Danielle de Paula Moreira, Bernardo Dalla Bernardina, Benjamin M. Neale, Gun Peggy Knudsen, Behrang Mahjani, Peter Szatmari, Elisabetta Trabetti, Lauren M. Schmitt, Kaija Puura, Mykyta Artomov, Rebecca J. Schmidt, Michael S. Breen, Mark J. Daly, Joon Yong An, Dara S. Manoach, Grace Schwartz, Hilary Coon, Christine M. Freitag, Andreas G. Chiocchetti, Eduarda Montenegro M. de Souza, Ryan L. Collins, Mafalda Barbosa, Emilie M. Wigdor, Montserrat Fernández-Prieto, Stephen W. Scherer, Anders D. Børglum, Jack A. Kosmicki, W. Ian Lipkin, Mullin H.C. Yu, Michael E. Zwick, Irva Hertz-Picciotto, Kathryn Roeder, Moyra Smith, Gail E. Herman, James S. Sutcliffe, Xinyi Xu, A. Jeremy Willsey, Alexander Kolevzon, Itaru Kushima, Menachem Fromer, Jakob Grove, Patrícia Maciel, Preben Bo Mortensen, Xin He, Aarno Palotie, Silvia De Rubeis, Idan Menashe, Jonas Bybjerg-Grauholm, Pål Surén, Antonio M. Persico, Ole Mors, Sven Sandin, Lara Tang, Eric M. Morrow, Pierandrea Muglia, Angel Carracedo, Ryan Yuen, and Giovanni Battista Ferrero

Subjects
False discovery rate, Regulation of gene expression, Genetics, 0303 health sciences, Biology, medicine.disease, Phenotype, 03 medical and health sciences, 0302 clinical medicine, Autism spectrum disorder, mental disorders, medicine, Autism, Copy-number variation, Gene, 030217 neurology & neurosurgery, Exome sequencing, 030304 developmental biology
Abstract

We present the largest exome sequencing study of autism spectrum disorder (ASD) to date (n=35,584 total samples, 11,986 with ASD). Using an enhanced Bayesian framework to integrate de novo and case-control rare variation, we identify 102 risk genes at a false discovery rate ≤ 0.1. Of these genes, 49 show higher frequencies of disruptive de novo variants in individuals ascertained for severe neurodevelopmental delay, while 53 show higher frequencies in individuals ascertained for ASD; comparing ASD cases with mutations in these groups reveals phenotypic differences. Expressed early in brain development, most of the risk genes have roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fall within loci recurrently hit by copy number variants. In human cortex single-cell gene expression data, expression of risk genes is enriched in both excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory/inhibitory imbalance underlying ASD.

Published
2019

12. Medical Comorbidity of Attention-Deficit/Hyperactivity Disorder in US Adolescents

Author

Jennifer L. Vande Voort, Jian Ping He, Brooke Sheppard, Kathleen R. Merikangas, Tarannum Lateef, and Nicole D. Jameson

Subjects
Male, medicine.medical_specialty, Adolescent, Comorbidity, Disease, 03 medical and health sciences, 0302 clinical medicine, Enuresis, Surveys and Questionnaires, 030225 pediatrics, mental disorders, Odds Ratio, Prevalence, medicine, Humans, Attention deficit hyperactivity disorder, 0501 psychology and cognitive sciences, Psychiatry, Asthma, business.industry, 05 social sciences, Odds ratio, medicine.disease, United States, Cross-Sectional Studies, Migraine, Attention Deficit Disorder with Hyperactivity, National Comorbidity Survey, Pediatrics, Perinatology and Child Health, Female, Neurology (clinical), medicine.symptom, business, 050104 developmental & child psychology, Clinical psychology
Abstract

Understanding patterns of medical comorbidity in attention-deficit/hyperactivity disorder (ADHD) may lead to better treatment of affected individuals as well as aid in etiologic study of disease. This article provides the first systematic evaluation on the medical comorbidity of ADHD in a nationally representative sample (National Comorbidity Replication Survey–Adolescent Supplement; N = 6483) using formal diagnostic criteria. Survey-weighted odds ratios adjusted for demographics, additional medical, and mental disorders were calculated for associations between ADHD and medical conditions. Models adjusted for demographics revealed significantly increased odds of allergy, asthma, enuresis, headache/migraine, and serious stomach or bowel problems. After adjusting for comorbidity, across the medical conditions, enuresis and serious stomach problems were the strongest correlates of ADHD. These findings confirm the pervasive medical comorbidity of ADHD reported in previous clinical and community-based studies. The intriguing salience of enuresis and serious stomach or bowel conditions may also provide an important clue to multisystem involvement in ADHD.

Published
2016

13. Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism

Author

Shan Dong, Norio Ozaki, Ryan K. C. Yuen, David J. Cutler, Lauren A. Weiss, Catalina Betancur, Abraham Reichenberg, Hassen-Kiss E, Judith Miller, Brooke Sheppard, Yunin Ludena, Astanand Jugessur, Irva Hertz-Picciotto, Donna M. Werling, Aurora Currò, Isaac N. Pessah, Giovanni Battista Ferrero, Somer L. Bishop, Utku Norman, Nancy J. Minshew, Tarjinder Singh, Bernie Devlin, Michael E. Talkowski, Carla Lintas, Susan L. Santangelo, Miia Kaartinen, Gal Meiri, Camilla Stoltenberg, Stephen Sanders, Sherif Gerges, Michael L. Cuccaro, Ryan N. Doan, Suma Jacob, Matthew W. Mosconi, Lambertus Klei, Michael E. Zwick, Kathryn Roeder, Merete Nordentoft, Lauren M. Schmitt, John A. Sweeney, Elizabeth E. Guerrero, Kaija Puura, Alessandra Renieri, Elaine T. Lim, Maureen Mulhern, Danielle de Paula Moreira, Cicek Ae, Nell Maltman, Aparna Bhaduri, Mara Parellada, Sabine Schlitt, Diego Lopergolo, Gun Peggy Knudsen, Christina M. Hultman, Jesslyn Jamison, Rebecca J. Schmidt, So Lun Lee, Iuliana Ionita-Laza, Peter Szatmari, Gerry Schellenberg, Alfredo Brusco, Christine M. Freitag, Andreas G. Chiocchetti, Javier González-Peñas, Michael S. Breen, Jakob Grove, Ryan L. Collins, Mafalda Barbosa, Emilie M. Wigdor, Elise B. Robinson, Cathy A. Stevens, Gabriela Soares, Benjamin M. Neale, Edwin H. Cook, Jiebiao Wang, David M. Hougaard, Enrico Domenici, Gail E. Herman, Patrícia Maciel, Kaitlin E. Samocha, Preben Bo Mortensen, Stephen W. Scherer, Yu Mhc, Elaine Cristina Zachi, Menachem Fromer, Antonio M. Persico, Anders D. Børglum, Minshi Peng, Megan Smith, Elisabetta Trabetti, Rachel Nguyen, Fátima Lopes, James S. Sutcliffe, Trelles Mdp, Xinyi Xu, Emma Wilkinson, Joseph D. Buxbaum, Audrey Thurm, Chiara Fallerini, Jack A. Kosmicki, Michael Gill, Paige M. Siper, Timothy W. Yu, Grace Schwartz, Thomas Werge, Terho Lehtimäki, Itaru Kushima, Jay Gargus, Dalla Bernardina B, Hilary Coon, Maria Rita Passos-Bueno, Stephen J. Guter, Margaret A. Pericak-Vance, Matthew W. State, Per Magnus, Christopher A. Walsh, Evelise Riberi, Ezra Susser, Xin He, Aarno Palotie, Idan Menashe, Eric M. Morrow, Jonas Bybjerg-Grauholm, Pierandrea Muglia, Pål Surén, De Rubeis S, Angel Carracedo, Sven Sandin, Montse Fernández-Prieto, Lara Tang, Lipkin Wi, Ole Mors, Louise Gallagher, Montenegro M. de Souza E, Brian H.Y. Chung, Anney Rjl, Alexander Kolevzon, Dara S. Manoach, Daniel H. Geschwind, Silva Imw, Caroline Dias, Jeremy Willsey, Jennifer Reichert, Elisa Giorgio, Branko Aleksic, Flora Tassone, Satterstrom Fk, Senthil G, Karoline Teufel, Chan Mcy, Harrison Brand, Danielle Halpern, Behrang Mahjani, Mykyta Artomov, Mark J. Daly, Joon Yong An, and Lehner T

Subjects
Genetics, Regulation of gene expression, 0303 health sciences, medicine.medical_specialty, Neurogenetics, Biology, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Autism spectrum disorder, mental disorders, medicine, Autism, Medical genetics, Copy-number variation, Gene, 030217 neurology & neurosurgery, Exome sequencing, 030304 developmental biology
Abstract

SummaryWe present the largest exome sequencing study of autism spectrum disorder (ASD) to date (n=35,584 total samples, 11,986 with ASD). Using an enhanced Bayesian framework to integrate de novo and case-control rare variation, we identify 102 risk genes at a false discovery rate ≤ 0.1. Of these genes, 49 show higher frequencies of disruptive de novo variants in individuals ascertained for severe neurodevelopmental delay, while 53 show higher frequencies in individuals ascertained for ASD; comparing ASD cases with mutations in these groups reveals phenotypic differences. Expressed early in brain development, most of the risk genes have roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fall within loci recurrently hit by copy number variants. In human cortex single-cell gene expression data, expression of risk genes is enriched in both excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory/inhibitory imbalance underlying ASD.

Published
2018
Full Text
View/download PDF

14. Peripheral blood DNA methylation and autism spectrum disorder

Author

M. Daniele Fallin, Diana Schendel, Laura A. Schieve, Christine Ladd-Acosta, Stephen T. Warren, Lisa A. Croen, Pankaj Chopra, Brooke Sheppard, Gayle C. Windham, Reid S. Alisch, Andrew P. Feinberg, Craig J. Newschaffer, and Shan V. Andrews

Subjects
Genetics, 0303 health sciences, education.field_of_study, Concordance, Population, dNaM, Single-nucleotide polymorphism, Biology, 03 medical and health sciences, 0302 clinical medicine, CpG site, Sample size determination, DNA methylation, education, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract

BackgroundSeveral reports have suggested a role for epigenetic mechanisms in ASD etiology. Epigenome-wide association studies (EWAS) in autism spectrum disorder (ASD) may shed light on particular biological mechanisms. However, studies of ASD cases versus controls have been limited by post-mortem timing and severely small sample sizes. Reports from in-life sampling of blood or saliva have also been very limited in sample size, and/or genomic coverage. We present the largest case-control EWAS for ASD to date, combining data from population-based case-control and case-sibling pair studies.MethodsDNA from 968 blood samples from children in the Study to Explore Early Development (SEED 1) was used to generate epigenome-wide array DNA methylation (DNAm) data at 485,512 CpG sites for 453 cases and 515 controls, using the Illumina 450K Beadchip. The Simons Simplex Collection (SSC) provided 450K array DNAm data on an additional 343 cases and their unaffected siblings. We performed EWAS meta-analysis across results from the two data sets, with adjustment for sex and surrogate variables that reflect major sources of biological variation and technical confounding such as cell type, batch, and ancestry. We compared top EWAS results to those from a previous brain-based analysis. We also tested for enrichment of ASD EWAS CpGs for being targets of meQTL associations using available SNP genotype data in the SEED sample.FindingsIn this meta-analysis of blood-based DNA from 796 cases and 858 controls, no single CpG met a Bonferroni discovery threshold of p < 1.12×10−7. Seven CpGs showed differences at p < 1×10−5and 48 at 1×10−4. Of the top 7, 5 showed brain-based ASD associations as well, often with larger effect sizes, and the top 48 overall showed modest concordance (r = 0.31) in direction of effect with cerebellum samples. Finally, we observed suggestive evidence for enrichment of CpG sites controlled by SNPs (meQTL targets) among the EWAS CpGs hits, which was consistent across EWAS and meQTL discovery p-value thresholds.ConclusionsWe report the largest case-control EWAS study of ASD to date. No single CpG site showed a large enough DNAm difference between cases and controls to achieve epigenome-wide significance in this sample size. However, our results suggest the potential to observe disease associations from blood-based samples. Among the 7 sites achieving suggestive statistical significance, we observed consistent, and stronger, effects at the same sites among brain samples. Discovery-oriented EWAS for ASD using blood samples will likely need even larger samples and unified genetic data to further understand DNAm differences in ASD.

Published
2018

15. Case-control meta-analysis of blood DNA methylation and autism spectrum disorder

Author

Lisa A. Croen, Christine Ladd-Acosta, Reid S. Alisch, Stephen T. Warren, Laura A. Schieve, Brooke Sheppard, Shan V. Andrews, M. Daniele Fallin, Diana Schendel, Gayle C. Windham, Pankaj Chopra, Craig J. Newschaffer, and Andrew P. Feinberg

Subjects
0301 basic medicine, Male, Autism Spectrum Disorder, DIAGNOSTIC OBSERVATION SCHEDULE, Concordance, Population, Short Report, Peripheral blood, Single-nucleotide polymorphism, Biology, lcsh:RC346-429, Epigenesis, Genetic, 03 medical and health sciences, Epigenome, Developmental Neuroscience, CONVERGENCE, Humans, HETEROGENEITY, FRAGILE-X-SYNDROME, GENOME-WIDE ASSOCIATION, education, Molecular Biology, lcsh:Neurology. Diseases of the nervous system, Genetic association, Genetics, education.field_of_study, DNA methylation, Study to Explore Early Development, MUTATIONS, dNaM, Simons Simplex Collection, Autism spectrum disorders, RETT-SYNDROME, GENE, 3. Good health, Psychiatry and Mental health, INDIVIDUALS, 030104 developmental biology, CpG site, Sample size determination, Case-Control Studies, Child, Preschool, CpG Islands, Female, Developmental Biology, Genome-Wide Association Study, EXPLORE EARLY DEVELOPMENT
Abstract

Background Several reports have suggested a role for epigenetic mechanisms in ASD etiology. Epigenome-wide association studies (EWAS) in autism spectrum disorder (ASD) may shed light on particular biological mechanisms. However, studies of ASD cases versus controls have been limited by post-mortem timing and severely small sample sizes. Reports from in-life sampling of blood or saliva have also been very limited in sample size and/or genomic coverage. We present the largest case-control EWAS for ASD to date, combining data from population-based case-control and case-sibling pair studies. Methods DNA from 968 blood samples from children in the Study to Explore Early Development (SEED 1) was used to generate epigenome-wide array DNA methylation (DNAm) data at 485,512 CpG sites for 453 cases and 515 controls, using the Illumina 450K Beadchip. The Simons Simplex Collection (SSC) provided 450K array DNAm data on an additional 343 cases and their unaffected siblings. We performed EWAS meta-analysis across results from the two data sets, with adjustment for sex and surrogate variables that reflect major sources of biological variation and technical confounding such as cell type, batch, and ancestry. We compared top EWAS results to those from a previous brain-based analysis. We also tested for enrichment of ASD EWAS CpGs for being targets of meQTL associations using available SNP genotype data in the SEED sample. Findings In this meta-analysis of blood-based DNA from 796 cases and 858 controls, no single CpG met a Bonferroni discovery threshold of p

Published
2018

16. 29 BRAINVAR DATA SET: WHOLE-GENOME AND RNA SEQUENCING REVEAL VARIATION AND TRANSCRIPTOMIC COORDINATION IN THE DEVELOPING HUMAN PREFRONTAL CORTEX

Author

Stephen Sanders, Nenad Sestan, Brooke Sheppard, Kathryn Roeder, Bernie Devlin, Gabriel Santpere, Michael E. Talkowski, Matthew W. State, Donna M. Werling, Michael S. Breen, Minshi Peng, Joon Yong An, Forrest O. Gulden, Sirisha Pochareddy, and Jinmyung Choi

Subjects
Pharmacology, RNA, Computational biology, Biology, Genome, Transcriptome, Data set, Psychiatry and Mental health, Variation (linguistics), Neurology, Pharmacology (medical), Neurology (clinical), Prefrontal cortex, Biological Psychiatry
Published
2019

17. Revealing the brain's molecular architecture

Author

Alexey Kozlenkov, Elizabeth Zharovsky, Tyler M. Borrman, Annie W. Shieh, Harm van Bakel, Leonardo Collado-Torres, Yi Jiang, Dominic Fitzgerald, Patrick F. Sullivan, Prashant Emani, Yooree Chae, David A. Lewis, Mo Yang, Joo Heon Shin, Zhen Li, A. Jeremy Willsey, Thomas G. Beach, Robert R. Kitchen, Shannon Schreiner, Barbara K. Lipska, Mingming Niu, Gabriel E. Hoffman, Michael J. Purcaro, Alexander W. Charney, Olivia Devillers, Zhiping Weng, Stephen Sanders, Diane DelValle, Adrian Camarena, Lingyun Song, Fernando S. Goes, Becky C. Carlyle, Nenad Sestan, Valeria N. Spitsyna, Nikolay A. Ivanov, Tarik Hadzic, Lijun Cheng, Peter P. Zandi, Rivka Jacobov, Mimi Brown, Flora M. Vaccarino, Ran Tao, Chang-Gyu Hahn, Mark Gerstein, Soraya Scuderi, Adriana Cherskov, Matthew W. State, Thomas M. Hyde, Kevin P. White, Daifeng Wang, Mario Skarica, Maree J. Webster, Marija Kundakovic, Jennifer R Wiseman, Dalila Pinto, Nancy Francoeur, Alexej Abyzov, Xu Shi, Mohana Ray, Eugenio Mattei, Anna Szekely, Jill Moore, Damon Polioudakis, Allison E. Ashley-Koch, Daniel J. Miller, Jing Zhang, Royce B. Park, Tianliuyun Gao, Donna M. Werling, Patrick Sullivan, Gabriel Santpere, Paola Giusti-Rodríguez, Kay Grennan, Chao Chen, Sirisha Pochareddy, Shuang Liu, Sherman M. Weissman, Joel E. Kleiman, Kiran Girdhar, Leanne Brown, Angus C. Nairn, Mingfeng Li, Heather Witt, Anahita Amiri, Judson Belmont, André M. M. Sousa, Elie Flatow, Lara M. Mangravite, Ying Zhu, Joon Yong An, Amanda J. Price, Mette A. Peters, Melanie E. Garrett, Vivek Swarup, Declan Clarke, Jaroslav Bendl, Oleg V. Evgrafov, Luis de la Torre Ubieta, Alexias Safi, Amira Kefi, Gamze Gürsoy, Majd Alsayed, Xusheng Wang, Jin P. Szatkiewicz, Yunjung Kim, Miguel Brown, Michael J. Gandal, Yongjun Wang, Jinmyung Choi, Tonya M. Brunetti, Yucheng T. Yang, Christoper Armoskus, Brooke Sheppard, Gianfilippo Coppola, Tanmoy Roychowdhury, Timothy E. Reddy, Chunyu Liu, Jack Huey, Mads E. Hauberg, Feinan Wu, Evi Hadjimichael, Peggy J. Farnham, Julien Bryois, Henry S. Pratt, Brie Wamsley, Fabio C. P. Navarro, Graham D. Johnson, Jonathan Warrell, Stella Dracheva, Suhn K. Rhie, Min Xu, Gregory A. Wray, Bibi Kassim, Thomas Goodman, Rujia Dai, Hyejung Won, Junmin Peng, Gregory E. Crawford, Ramu Vadukapuram, Andrew E. Jaffe, Emily E. Burke, Daniel H. Geschwind, James A. Knowles, Gina Giase, Jessica Mariani, Yan Xia, Panos Roussos, Mengting Gu, Jiani Yin, Vahram Haroutunian, John F. Fullard, Schahram Akbarian, and Yan Jiang

Subjects
Multidisciplinary, Architecture, Biology, Neuroscience
Published
2018

18. Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder

Author

Shannon E. Ellis, M. Daniele Fallin, Lisa A. Croen, Brooke Sheppard, Dan E. Arking, Irva Hertz-Picciotto, Andrew P. Feinberg, Christine Ladd-Acosta, Shan V. Andrews, Kelly M. Bakulski, and Craig J. Newschaffer

Subjects
Epigenomics, 0301 basic medicine, Autism Spectrum Disorder, Autism, General Physics and Astronomy, Genome-wide association study, Bioinformatics, Epigenesis, Genetic, Umbilical Cord, 0302 clinical medicine, Genotype, 2.1 Biological and endogenous factors, Aetiology, Child, lcsh:Science, Lung, Pediatric, Genetics, 0303 health sciences, Multidisciplinary, Brain, Single Nucleotide, Fetal Blood, 3. Good health, Mental Health, Phenotype, CpG site, Autism spectrum disorder, Child, Preschool, DNA methylation, Intellectual and Developmental Disabilities (IDD), Science, Quantitative Trait Loci, Genomics, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Genetic, mental disorders, medicine, Humans, Epigenetics, Polymorphism, Preschool, 030304 developmental biology, Human Genome, Neurosciences, Infant, Newborn, Infant, dNaM, General Chemistry, DNA Methylation, Newborn, medicine.disease, Brain Disorders, Good Health and Well Being, 030104 developmental biology, Case-Control Studies, lcsh:Q, CpG Islands, 030217 neurology & neurosurgery, Epigenesis, Follow-Up Studies, Genome-Wide Association Study
Abstract

Integration of emerging epigenetic information with autism spectrum disorder (ASD) genetic results may elucidate functional insights not possible via either type of information in isolation. Here we use the genotype and DNA methylation (DNAm) data from cord blood and peripheral blood to identify SNPs associated with DNA methylation (meQTL lists). Additionally, we use publicly available fetal brain and lung meQTL lists to assess enrichment of ASD GWAS results for tissue-specific meQTLs. ASD-associated SNPs are enriched for fetal brain (OR = 3.55; P, “There have been a number of recent epigenetic studies on autism spectrum disorder. Here, the authors integrate genetic and epigenetic data from cord and peripheral blood and also from brain tissues to show the potential of blood-based epigenetic data to provide insights into psychiatric disorders.”

Published
2017

19. Genome-wide association study of obsessive-compulsive disorder

Author

Helena Garrido, Richard O'Brien, Michael H. Bloch, David L. Pauls, M. Van Der Brug, Anna Tikhomirov, Andrew B. Singleton, Susanne Walitza, Benjamin M. Neale, Patrick Evans, Rianne M. Blom, Mina Ryten, James L. Kennedy, Christopher Pittenger, C. Illman, Amin Azzam, Stephen A. Haddad, Gregory L. Hanna, Michele T. Pato, D. Rosenberg, Maurizio Turiel, Stephan Ruhrmann, Peter Falkai, Nuria Lanzagorta, Richard Delorme, D. G. Hernandez, Leonhard Lennertz, Abby J. Fyer, M Conceição do Rosário, Euripedes Constantino Miguel, John Hardy, Carlos N. Pato, Francesca Frau, Hans-Jörgen Grabe, Daniele Cusi, Alan B. Zonderman, Dieter Deforce, Peter Heutink, Brooke Sheppard, Jacquelyn Crane, Dongmei Yu, Danielle C. Cath, Rainald Moessner, Nancy J. Cox, Shaun Purcell, James A. Knowles, Daniel B. Mirel, Aline S. Sampaio, D. L. Murphy, R. Johnson, Jens R. Wendland, David V. Conti, Carolina Cappi, Paula Umaña, Marco A. Grados, Dan J. Stein, J. R. Gibbs, Humberto Nicolini, Anna Pluzhnikov, Denise A. Chavira, F. Van Nieuwerburgh, Valsamma Eapen, Lisa Osiecki, Christine Lochner, Juan C. Troncoso, Jeremy Veenstra-VanderWeele, Mark A. Riddle, Michael Wagner, Jeremiah M. Scharf, Beatriz Camarena, Edwin H. Cook, Ana Gabriela Hounie, Daniah Trabzuni, Donald W. Black, Scott L. Rauch, Marion Leboyer, Andrew Crenshaw, S. E. Stewart, Roel A. Ophoff, Dianne M. Hezel, Damiaan Denys, Gerald Nestadt, Melissa Parkin, Karin Egberts, Colin Smith, Anuar Konkashbaev, Danielle Posthuma, Vladimir Coric, James F. Leckman, Eric Strengman, Jack Samuels, Tobias J. Renner, Michael E. Weale, L. Ferrucci, Mark R. Cookson, Laura Bellodi, Oscar J. Bienvenu, C. Mayerfeld, Christopher K. Edlund, Youfa Wang, Robert Walker, Dan L. Longo, Maria Cristina Cavallini, James T. McCracken, Jesen Fagerness, H. R. Zielke, Homero Vallada, Chunyu Liu, Bernadette Cullen, Carol A. Mathews, Sian M. J. Hemmings, Allissa Dillman, E. Voyiaziakis, Fabio Macciardi, Eduardo Fournier, Benjamin D. Greenberg, Eric R. Gamazon, S. Arepalli, Margaret A. Richter, Bryan J. Traynor, Michael A. Jenike, J.H. Smit, M. A. Nalls, Lauren M. McGrath, Paul D. Arnold, H.G.M. Westenberg, W. Maier, Other departments, ANS - Amsterdam Neuroscience, Adult Psychiatry, Functional Genomics, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Netherlands Institute for Neuroscience (NIN), Human genetics, Psychiatry, NCA - Brain mechanisms in health and disease, and NCA - Neurobiology of mental health

Subjects
Parents, Obsessive-Compulsive Disorder, OCD COLLABORATIVE GENETICS, SLC1A1, Genome-wide association study, genomic, 0302 clinical medicine, Polymorphism (computer science), TRANSPORTER GENE, GWAS, SNPS, Genetics, QUANTITATIVE TRAIT LOCI, 0303 health sciences, biology, Frontal Lobe, obsessive-compulsive disorder, Psychiatry and Mental health, EXPRESSION, Quantitative Trait Loci, TWIN, Nerve Tissue Proteins, Single-nucleotide polymorphism, Quantitative trait locus, Polymorphism, Single Nucleotide, Article, White People, 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 17 - Partnerships for the Goals, DLGAP, Genetic variation, mental disorders, LINKAGE, Humans, SNP, Genetic Predisposition to Disease, Molecular Biology, FAMILY-BASED ASSOCIATION, 030304 developmental biology, Biology and Life Sciences, neurodevelopmental disorder, SAP90-PSD95 Associated Proteins, Case-Control Studies, REPLICATION, Expression quantitative trait loci, biology.protein, genetic, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Obsessive-compulsive disorder (OCD) is a common, debilitating neuropsychiatric illness with complex genetic etiology. The International OCD Foundation Genetics Collaborative (IOCDF-GC) is a multi-national collaboration established to discover the genetic variation predisposing to OCD. A set of individuals affected with DSM-IV OCD, a subset of their parents, and unselected controls, were genotyped with several different Illumina SNP microarrays. After extensive data cleaning, 1465 cases, 5557 ancestry-matched controls and 400 complete trios remained, with a common set of 469 410 autosomal and 9657 X-chromosome single nucleotide polymorphisms (SNPs). Ancestry-stratified case-control association analyses were conducted for three genetically-defined subpopulations and combined in two meta-analyses, with and without the trio-based analysis. In the case-control analysis, the lowest two P-values were located within DLGAP1 (P = 2.49 x 10(-6) and P = 3.44 x 10(-6)), a member of the neuronal postsynaptic density complex. In the trio analysis, rs6131295, near BTBD3, exceeded the genome-wide significance threshold with a P-value = 3.84 x 10(-8). However, when trios were meta-analyzed with the case-control samples, the P-value for this variant was 3.62 x 10(-5), losing genome-wide significance. Although no SNPs were identified to be associated with OCD at a genome-wide significant level in the combined trio-case-control sample, a significant enrichment of methylation QTLs (P < 0.001) and frontal lobe expression quantitative trait loci (eQTLs) (P = 0.001) was observed within the top-ranked SNPs (P < 0.01) from the trio-case-control analysis, suggesting these top signals may have a broad role in gene expression in the brain, and possibly in the etiology of OCD.

Published
2013

20. Epidemiology

Author

Kathleen Ries Merikangas and Brooke Sheppard

Published
2016

21. Cross-Disorder Genome-Wide Analyses Suggest a Complex Genetic Relationship Between Tourette's Syndrome and OCD

Author

Mary M. Robertson, Peter Heutink, Leonhard Lennertz, Victor I. Reus, John Hardy, Mark A. Riddle, Beatriz Camarena, Helena Garrido, Robert A. King, Simon Girard, Christine Lochner, Michael H. Bloch, Patrick Evans, Anuar Konkashbaev, Jack Samuels, Priya Moorjani, Chiara Sabatti, Andrew J. Pakstis, Ying Wang, O. Joseph Bienvenu, Richard Delorme, David L. Pauls, Rainald Moessner, Gary A. Heiman, Daniel A. Geller, Marco A. Grados, Eric R. Gamazon, John Piacentini, Dan J. Stein, William Cornejo Ochoa, Maria Conceição do Rosário, Karin Egberts, Thomas L. Lowe, Christopher K. Edlund, Jan Smit, Christopher Pittenger, Denise A. Chavira, Marion Leboyer, Homero Vallada, Sandra Catalina Mesa Restrepo, Jacquelyn Crane, Donald W. Black, David V. Conti, Paul Sandor, Humberto Nicolini, Lisa Osiecki, Jeremy Veenstra-VanderWeele, Catherine Mayerfeld, Danielle Posthuma, Edna Grünblatt, Carolina Cappi, Robert B. Weiss, Cristina Barlassina, Sara Lupoli, Chunyu Liu, Sian M. J. Hemmings, Ben A. Oostra, D. Denys, Susanne Walitza, Lea K. Davis, Stephen A. Haddad, Luis Diego Herrera, Jubel Morgan, Hans Joergen Grabe, Benjamin M. Neale, Thomas V. Fernandez, Yehuda Pollak, Roel A. Ophoff, Gerald Nestadt, Harvey S. Singer, Stephan Ruhrmann, Bernadette Cullen, Michael Wagner, Nuria Lanzagorta, Jeremiah M. Scharf, Cathy L. Budman, Ruth D. Bruun, R. Kurlan, Valsama Eapen, Jesen Fagerness, Desmond Campbell, James L. Kennedy, Carlos N. Pato, Nancy J. Cox, Pieter J. Hoekstra, Joseph Jankovic, Cathy L. Barr, Peter Falkai, Donald L. Gilbert, Fortu Benarroch, Dianne M. Hezel, Maria Cristina Cavallini, Brooke Sheppard, Fabio Macciardi, William M. McMahon, Laura Bellodi, Maurizio Turiel, Wolfgang Maier, Varda Gross-Tsur, Helena Brentani, Dongmei Yu, Danielle C. Cath, Ana V. Valencia Duarte, Eduardo Fournier, James A. Knowles, Tobias J. Renner, Erika L. Nurmi, Guy A. Rouleau, Benjamin D. Greenberg, Nelson B. Freimer, Shaun Purcell, Patience J. Gallagher, Roxana Romero, Gregory L. Hanna, Paolo Manunta, Edwin H. Cook, Michele T. Pato, Sylvain Chouinard, Scott L. Rauch, James T. McCracken, Gloria Gerber, Carol A. Mathews, Jens R. Wendland, Sampath Arepalli, Dennis L. Murphy, Daniele Cusi, Barbara Kremeyer, Vladimir Coric, Aline S. Sampaio, Erika Salvi, Julio C. Cardona Silgado, Cornelia Illmann, James F. Leckman, Euripedes Constantino Miguel, H. Müller, Yin Yao Shugart, Eric Strengman, Ana Gabriela Hounie, Michael E. Weale, Gabriel Bedoya Berrió, Margaret A. Richter, Maurizio Marconi, Allan L. Naarden, Michael A. Jenike, M.R. Cookson, David R. Rosenberg, Andres Ruiz-Linares, S. Evelyn Stewart, Paul D. Arnold, H.G.M. Westenberg, Yves Dion, Jay A. Tischfield, Eske M. Derks, Lauren M. McGrath, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Yu, D., Mathews, C. A., Scharf, J. M., Neale, B. M., Davis, L. K., Gamazon, E. R., Derks, E. M., Evans, P., Edlund, C. K., Crane, J., Fagerness, J. A., Osiecki, L., Gallagher, P., Gerber, G., Haddad, S., Illmann, C., Mcgrath, L. M., Mayerfeld, C., Arepalli, S., Barlassina, C., Barr, C. L., Bellodi, L., Benarroch, F., Berrio, G. B., Bienvenu, O. J., Black, D., Bloch, M. H., Brentani, H., Bruun, R. D., Budman, C. L., Camarena, B., Campbell, D. D., Cappi, C., Cardona Silgado, J. C., Cavallini, M. C., Chavira, D. A., Chouinard, S., Cook, E. H., Cookson, M. R., Coric, V., Cullen, B., Cusi, D., Delorme, R., Denys, D., Dion, Y., Eapen, V., Egberts, K., Falkai, P., Fernandez, T., Fournier, E., Garrido, H., Geller, D., Gilbert, D., Girard, S. L., Grabe, H. J., Grados, M. A., Greenberg, B. D., Gross-Tsur, V., Grunblatt, E., Hardy, J., Heiman, G. A., Hemmings, S. M. J., Herrera, L. D., Hezel, D. M., Hoekstra, P. J., Jankovic, J., Kennedy, J. L., King, R. A., Konkashbaev, A. I., Kremeyer, B., Kurlan, R., Lanzagorta, N., Leboyer, M., Leckman, J. F., Lennertz, L., Liu, C., Lochner, C., Lowe, T. L., Lupoli, S., Macciardi, F., Maier, W., Manunta, P., Marconi, M., Mccracken, J. T., Mesa Restrepo, S. C., Moessner, R., Moorjani, P., Morgan, J., Muller, H., Murphy, D. L., Naarden, A. L., Ochoa, W. C., Ophoff, R. A., Pakstis, A. J., Pato, M. T., Pato, C. N., Piacentini, J., Pittenger, C., Pollak, Y., Rauch, S. L., Renner, T., Reus, V. I., Richter, M. A., Riddle, M. A., Robertson, M. M., Romero, R., Rosario, M. C., Rosenberg, D., Ruhrmann, S., Sabatti, C., Salvi, E., Sampaio, A. S., Samuels, J., Sandor, P., Service, S. K., Sheppard, B., Singer, H. S., Smit, J. H., Stein, D. J., Strengman, E., Tischfield, J. A., Turiel, M., Valencia Duarte, A. V., Vallada, H., Veenstra-VanderWeele, J., Walitza, S., Walkup, J., Wang, Y., Weale, M., Weiss, R., Wendland, J. R., Westenberg, H. G. M., Yao, Y., Hounie, A. G., Miguel, E. C., Nicolini, H., Wagner, M., Ruiz-Linares, A., Cath, D. C., Mcmahon, W., Posthuma, D., Oostra, B. A., Nestadt, G., Rouleau, G. A., Purcell, S., Jenike, M. A., Heutink, P., Hanna, G. L., Conti, D. V., Arnold, P. D., Freimer, N., Stewart, S. E., Knowles, J. A., Cox, N. J., Pauls, D. L., Netherlands Institute for Neuroscience (NIN), Sub String Theory Cosmology and ElemPart, Leerstoel Hout, Experimental psychopathology, Psychiatry, Human genetics, NCA - Neurobiology of mental health, EMGO - Mental health, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Other departments, ANS - Amsterdam Neuroscience, APH - Amsterdam Public Health, Adult Psychiatry, Complex Trait Genetics, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, and EMGO+ - Mental Health

Subjects
Adult, Male, Obsessive-Compulsive Disorder, diagnosis [Tourette Syndrome], Tics, Single-nucleotide polymorphism, Genome-wide association study, Comorbidity, VARIANTS, Tourette syndrome, Polymorphism, Single Nucleotide, Severity of Illness Index, ASSOCIATION SCANS, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Polymorphism (computer science), Severity of illness, mental disorders, medicine, TICS, Humans, ddc:610, Polymorphism, 030304 developmental biology, Genetics, Psychiatric Status Rating Scales, genetics [Obsessive-Compulsive Disorder], 0303 health sciences, GENERALIST GENES, Single Nucleotide, OBSESSIVE-COMPULSIVE DISORDER, epidemiology [Tourette Syndrome], medicine.disease, Genetic architecture, Psychiatry and Mental health, genetics [Tourette Syndrome], Female, epidemiology [Obsessive-Compulsive Disorder], Psychology, 030217 neurology & neurosurgery, diagnosis [Obsessive-Compulsive Disorder], Genome-Wide Association Study, Tourette Syndrome
Abstract

Objective: Obsessive-compulsive disorder (OCD) and Tourette's syndrome are highly heritable neurodevelopmental disorders that are thought to share genetic risk factors. However, the identification of definitive susceptibility genes for these etiologically complex disorders remains elusive. The authors report a combined genome-wide association study (GWAS) of Tourette's syndrome and OCD.Method: The authors conducted a GWAS in 2,723 cases (1,310 with OCD, 834 with Tourette's syndrome, 579 with OCD plus Tourette's syndrome/chronic tics), 5,667 ancestry-matched controls, and 290 OCD parent-child trios. GWAS summary statistics were examined for enrichment of functional variants associated with gene expression levels in brain regions. Polygenic score analyses were conducted to investigate the genetic architecture within and across the two disorders.Results: Although no individual single-nucleotide polymorphisms (SNPs) achieved genome-wide significance, the GWAS signals were enriched for SNPs strongly associated with variations in brain gene expression levels (expression quantitative loci, or eQTLs), suggesting the presence of true functional variants that contribute to risk of these disorders Polygenic score analyses identified a significant polygenic component for OCD (p=2x10(-4)), predicting 3.2% of the phenotypic variance in an independent data set. In contrast, Tourette's syndrome had a smaller, nonsignificant polygenic component, predicting only 0.6% of the phenotypic variance (p=0.06). No significant polygenic signal was detected across the two disorders, although the sample is likely underpowered to detect a modest shared signal. Furthermore, the OCD polygenic signal was significantly attenuated when cases with both OCD and co-occurring Tourette's syndrome/chronic tics were included in the analysis (p=0.01).Conclusions: Previous work has shown that Tourette's syndrome and OCD have some degree of shared genetic variation. However, the data from this study suggest that there are also distinct components to the genetic architectures of these two disorders. Furthermore, OCD with co-occurring burette's syndrome/chronic tics may have different underlying genetic susceptibility compared with OCD alone.

Published
2015

22. Partitioning the heritability of Tourette syndrome and obsessive compulsive disorder reveals differences in genetic architecture

Author

Patrick Evans, Jay A. Tischfield, Anuar Konkashbaev, Richard Delorme, Sandra Catalina Mesa Restrepo, Margaret A. Richter, Gregory L. Hanna, Allan L. Naarden, Michele T. Pato, Jian Yang, Denise A. Chavira, Damiaan Denys, Paul Sandor, Michael A. Jenike, Sian M. J. Hemmings, Paul D. Arnold, Stephan Ruhrmann, H.G.M. Westenberg, Yves Dion, Cathy L. Barr, Andres Ruiz-Linares, Brooke Sheppard, Leonhard Lennertz, Eske M. Derks, Lauren M. McGrath, Barbara Kremeyer, Marion Leboyer, Victor I. Reus, Cornelia Illmann, S. Evelyn Stewart, Dan J. Stein, Ana Gabriela Hounie, James T. McCracken, R. Kurlan, Chunyu Liu, Aline S. Sampaio, Thomas L. Lowe, Benjamin M. Neale, Yehuda Pollak, Desmond Campbell, Fabio Macciardi, Mary M. Robertson, Benjamin D. Greenberg, Ben A. Oostra, Rainald Moessner, Gary A. Heiman, Nuria Lanzagorta, Sylvain Chouinard, Rianne M. Blom, Karin Egberts, Carlos N. Pato, David V. Conti, Carol A. Mathews, Ying Wang, Marco A. Grados, Julio C. Cardona Silgado, S. Hong Lee, H. Müller, Eric R. Gamazon, Humberto Nicolini, Jan Smit, Euripedes Constantino Miguel, Jens R. Wendland, Cathy L. Budman, Laura Bellodi, Danielle Posthuma, Jubel Morgan, David R. Rosenberg, John Piacentini, Hans J. Grabe, Mark A. Riddle, Beatriz Camarena, Naomi R. Wray, Eric Strengman, Dennis L. Murphy, Simon Girard, Christine Lochner, Ruth D. Bruun, Joseph Jankovic, Edwin H. Cook, William M. McMahon, Scott L. Rauch, James F. Leckman, Peter Falkai, Fortu Benarroch, Christopher K. Edlund, Gabriel Bedoya Berrío, Homero Vallada, Susanne Walitza, Nelson B. Freimer, Stephen A. Haddad, Yin Yao Shugart, Danielle C. Cath, Nancy J. Cox, Varda Gross-Tsur, Guy A. Rouleau, Bernadette Cullen, Michael H. Bloch, Dieter Deforce, David L. Pauls, Thomas V. Fernandez, Roel A. Ophoff, Filip Van Nieuwerburgh, Gerald Nestadt, Dongmei Yu, Helena Garrido, Robert A. King, James L. Kennedy, Clare L. Keenan, Lisa Osiecki, Jack Samuels, Jeremy Veenstra-VanderWeele, Ana V. Valencia Duarte, James A. Knowles, Patience J. Gallagher, Carolina Cappi, Maria Conceição do Rosário, Andrew J. Pakstis, Christopher Pittenger, Michael Wagner, Jeremiah M. Scharf, Daniel A. Geller, Vladimir Coric, Tobias J. Renner, Oscar J. Bienvenu, Roxana Romero, William Cornejo Ochoa, Peter Heutink, Lea K. Davis, Harvey S. Singer, Maria Cristina Cavallini, Psychiatry, Human genetics, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, Department of Psychiatry and Mental Health, Faculty of Health Sciences, Univ Chicago, Harvard Univ, Broad Inst Harvard & MIT, Univ Amsterdam, Massachusetts Gen Hosp, Univ Queensland, Univ Hlth Network, Hosp Sick Children, Univ Vita Salute San Raffaele, Hadassah Hebrew Univ Med Ctr, Univ Pontificia Bolivariana, Johns Hopkins Univ, Yale Univ, North Shore Long Isl Jewish Med Ctr, NYU Med Ctr, North Shore Long Isl Jewish Hlth Syst, Hofstra Univ, Inst Nacl Psiquiatria Ramon de la Fuente Muniz, UCL, Univ Hong Kong, Universidade de São Paulo (USP), Vrije Univ Amsterdam, Univ Utrecht, Altrecht Acad Anxiety Ctr, Univ Milan, Univ Calif Los Angeles, Univ Calif San Diego, Univ Montreal, Univ Illinois, Univ Ghent, Inst Pasteur, French Natl Sci Fdn, Hop Robert Debre, Univ Wurzburg, Univ Munich, Univ Med Greifswald, Butler Hosp, Shaare Zedek Med Ctr, Rutgers State Univ, Univ Stellenbosch, Baylor Coll Med, Ctr Addict & Mental Hlth, Univ Toronto, Overlook Hosp, Carracci Med Grp, Inst Mondor Rech Biomed, Univ Bonn, Univ Calif San Francisco, UCI, Univ Utah, NIMH Intramural Res Program, Med City Dallas Hosp, Univ Med Ctr, Univ So Calif, Partners Psychiat & McLean Hosp, Sunnybrook Hlth Sci Ctr, St George Hosp, Sch Med, Hosp Nacl Ninos Dr Carlos Saenz Herrera, Universidade Federal de São Paulo (UNIFESP), Wayne State Univ, Detroit Med Ctr, McGill Univ, Univ Cologne, Universidade Federal da Bahia (UFBA), Youthdale Treatment Ctr, Johns Hopkins Univ Sch Med, Univ Cape Town, Univ Med Ctr Utrecht, Vanderbilt Univ, Univ Zurich, Inst Royal Netherlands Acad Arts & Sci NIN KNAW, Natl Inst Genom Med SAP, Vrije Univ Amsterdam Med Ctr, Erasmus Univ, Univ Michigan, German Ctr Neurodegenerat Dis, Erasmus MC, Univ British Columbia, Brigham & Womens Hosp, Davis, Lk, Yu, D, Keenan, Cl, Gamazon, Er, Konkashbaev, Ai, Derks, Em, Neale, Bm, Yang, J, Lee, Sh, Evans, P, Barr, Cl, Bellodi, Laura, Benarroch, F, Berrio, Gb, Bienvenu, Oj, Bloch, Mh, Blom, Rm, Bruun, Rd, Budman, Cl, Camarena, B, Campbell, D, Cappi, C, Cardona Silgado, Jc, Cath, Dc, Cavallini, Mc, Chavira, Da, Chouinard, S, Conti, Dv, Cook, Eh, Coric, V, Cullen, Ba, Deforce, D, Delorme, R, Dion, Y, Edlund, Ck, Egberts, K, Falkai, P, Fernandez, Tv, Gallagher, Pj, Garrido, H, Geller, D, Girard, Sl, Grabe, Hj, Grados, Ma, Greenberg, Bd, Gross Tsur, V, Haddad, S, Heiman, Ga, Hemmings, Sm, Hounie, Ag, Illmann, C, Jankovic, J, Jenike, Ma, Kennedy, Jl, King, Ra, Kremeyer, B, Kurlan, R, Lanzagorta, N, Leboyer, M, Leckman, Jf, Lennertz, L, Liu, C, Lochner, C, Lowe, Tl, Macciardi, F, Mccracken, Jt, Mcgrath, Lm, Mesa Restrepo, Sc, Moessner, R, Morgan, J, Muller, H, Murphy, Dl, Naarden, Al, Ochoa, Wc, Ophoff, Ra, Osiecki, L, Pakstis, Aj, Pato, Mt, Pato, Cn, Piacentini, J, Pittenger, C, Pollak, Y, Rauch, Sl, Renner, Tj, Reus, Vi, Richter, Ma, Riddle, Ma, Robertson, Mm, Romero, R, Rosàrio, Mc, Rosenberg, D, Rouleau, Ga, Ruhrmann, S, Ruiz Linares, A, Sampaio, A, Samuels, J, Sandor, P, Sheppard, B, Singer, H, Smit, Jh, Stein, Dj, Strengman, E, Tischfield, Ja, Valencia Duarte, Av, Vallada, H, Van Nieuwerburgh, F, Veenstra Vanderweele, J, Walitza, S, Wang, Y, Wendland, Jr, Westenberg, Hg, Shugart, Yy, Miguel, Ec, Mcmahon, W, Wagner, M, Nicolini, H, Posthuma, D, Hanna, Gl, Heutink, P, Denys, D, Arnold, Pd, Oostra, Ba, Nestadt, G, Freimer, Nb, Pauls, Dl, Wray, Nr, Stewart, Se, Mathews, Ca, Knowles, Ja, Cox, Nj, Scharf, Jm, Functional Genomics, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Davis, Lea K, Yu, Dongmei, Keenan, Clare L, Gamazon, Eric R, Lee, S Hong, Scharf, Jeremiah M, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Other departments, ANS - Amsterdam Neuroscience, APH - Amsterdam Public Health, Adult Psychiatry, and Graduate School

Subjects
Cancer Research, Obsessive-Compulsive Disorder, COMPLEX DISEASES, Genome-wide association study, heritability, Genome-wide association studies, neurobehavioral disorders, COMMON SNPS, 0302 clinical medicine, Gene Frequency, Missing heritability problem, MISSING HERITABILITY, Cerebellum, Heritability of autism, BRAIN, Genetics (clinical), Genetics, ddc:616, Genetics & Heredity, 0303 health sciences, Chromosome 15, humanities, FAMILY, obsessive-compulsive disorder, genetics [Tourette Syndrome], Phenotype, NEUROPSYCHIATRIC DISORDERS, GENÔMICA, Research Article, EXPRESSION, lcsh:QH426-470, SNP, Biology, Quantitative trait locus, Genome-wide Complex Trait Analysis, Genetic correlation, behavioral disciplines and activities, Polymorphism, Single Nucleotide, Chromosomes, TIC DISORDERS, 03 medical and health sciences, Quantitative Trait, Heritable, mental disorders, genetic risk factors, Humans, ddc:610, AUTISM, Variant genotypes, Molecular Biology, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, genetics [Obsessive-Compulsive Disorder], Tourette syndrome, Parietal lobe, Biology and Life Sciences, Heritability, Genetic architecture, Minor allele frequency, Trastorno Obsesivo Compulsivo, lcsh:Genetics, pathology [Obsessive-Compulsive Disorder], genetic variation, pathology [Tourette Syndrome], Síndrome de Tourette, 030217 neurology & neurosurgery, GILLES, Genome-Wide Association Study, Tourette Syndrome
Abstract

The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained by all SNPs for two phenotypically-related neurobehavioral disorders, obsessive-compulsive disorder (OCD) and Tourette Syndrome (TS), using GCTA. Our analysis yielded a heritability point estimate of 0.58 (se = 0.09, p = 5.64e-12) for TS, and 0.37 (se = 0.07, p = 1.5e-07) for OCD. In addition, we conducted multiple genomic partitioning analyses to identify genomic elements that concentrate this heritability. We examined genomic architectures of TS and OCD by chromosome, MAF bin, and functional annotations. In addition, we assessed heritability for early onset and adult onset OCD. Among other notable results, we found that SNPs with a minor allele frequency of less than 5% accounted for 21% of the TS heritability and 0% of the OCD heritability. Additionally, we identified a significant contribution to TS and OCD heritability by variants significantly associated with gene expression in two regions of the brain (parietal cortex and cerebellum) for which we had available expression quantitative trait loci (eQTLs). Finally we analyzed the genetic correlation between TS and OCD, revealing a genetic correlation of 0.41 (se = 0.15, p = 0.002). These results are very close to previous heritability estimates for TS and OCD based on twin and family studies, suggesting that very little, if any, heritability is truly missing (i.e., unassayed) from TS and OCD GWAS studies of common variation. The results also indicate that there is some genetic overlap between these two phenotypically-related neuropsychiatric disorders, but suggest that the two disorders have distinct genetic architectures., Author Summary Family and twin studies have shown that genetic risk factors are important in the development of Tourette Syndrome (TS) and obsessive compulsive disorder (OCD). However, efforts to identify the individual genetic risk factors involved in these two neuropsychiatric disorders have been largely unsuccessful. One possible explanation for this is that many genetic variations scattered throughout the genome each contribute a small amount to the overall risk. For TS and OCD, the genetic architecture (characterized by the number, frequency, and distribution of genetic risk factors) is presently unknown. This study examined the genetic architecture of TS and OCD in a variety of ways. We found that rare genetic changes account for more genetic risk in TS than in OCD; certain chromosomes contribute to OCD risk more than others; and variants that influence the level of genes expressed in two regions of the brain can account for a significant amount of risk for both TS and OCD. Results from this study might help in determining where, and what kind of variants are individual risk factors for TS and OCD and where they might be located in the human genome.

Published
2013

23. 1.54 COMORBIDITY AND PATTERNS OF FAMILIAL AGGREGATION OF ATTENTION-DEFICIT/HYPERACTIVITY DISORDER AND MOOD DISORDERS: RESULTS FROM THE NATIONAL INSTITUTE OF MENTAL HEALTH FAMILY STUDY

Author

Lihong Cui, Brooke Sheppard, Cortlyn Brown, Rachel F.L. Walsh, and Kathleen R. Merikangas

Subjects
medicine.medical_specialty, Family aggregation, medicine.disease, Comorbidity, Mental health, Psychiatry and Mental health, Prevalence of mental disorders, Mood disorders, Developmental and Educational Psychology, medicine, Attention deficit hyperactivity disorder, Psychology, Psychiatry, Clinical psychology
Published
2016

24. Genome-wide linkage analysis of obsessive-compulsive disorder implicates chromosome 1p36

Author

Judith A. Badner, Edwin H. Cook, Maxine Schwartz, J. Michael Andresen, Denise A. Chavira, Suck Won Kim, Kyle A. Williams, Gregory L. Hanna, Brooke Sheppard, Amin Azzam, Carol A. Mathews, Joseph A. Himle, Jon E. Grant, and Victor I. Reus

Subjects
Male, Candidate gene, Obsessive-Compulsive Disorder, Genetic Linkage, obsessive-compulsive, Genome-wide association study, Medical and Health Sciences, genome-wide, Genotype, 2.1 Biological and endogenous factors, Age of Onset, Aetiology, Child, Genetics, Pediatric, Psychiatry, Chromosome Mapping, pedigree, Single Nucleotide, Biological Sciences, Complete linkage, Mental Health, Chromosomes, Human, Pair 1, Child, Preschool, Pair 1, Female, linkage, multigenerational, Human, Biotechnology, Adult, Adolescent, Biology, Polymorphism, Single Nucleotide, Article, Chromosomes, Young Adult, Genetic linkage, Clinical Research, mental disorders, Humans, Genetic Predisposition to Disease, Polymorphism, Preschool, Biological Psychiatry, Linkage (software), Family Health, Haplotype, Human Genome, Psychology and Cognitive Sciences, Chromosome, United States, Follow-Up Studies, Genome-Wide Association Study
Abstract

Background Obsessive-compulsive disorder (OCD) has a complex etiology involving both genetic and environmental factors. However, the genetic causes of OCD are largely unknown, despite the identification of several promising candidate genes and linkage regions. Methods Our objective was to conduct genetic linkage studies of the type of OCD thought to have the strongest genetic etiology (i.e., childhood-onset OCD), in 33 Caucasian families with ≥2 childhood-onset OCD-affected individuals from the United States ( n = 245 individuals with genotype data). Parametric and nonparametric genome-wide linkage analyses were conducted with Morgan and Merlin in these families using a selected panel of single nucleotide repeat polymorphisms from the Illumina 610-Quad Bead Chip. The initial analyses were followed by fine-mapping analyses in genomic regions with initial heterogeneity logarithm of odds (HLOD) scores of ≥2.0. Results We identified five areas of interest (HLOD score ≥2) on chromosomes 1p36, 2p14, 5q13, 6p25, and 10p13. The strongest result was on chromosome 1p36.33-p36.32 (HLOD = 3.77, suggestive evidence for linkage after fine mapping). At this location, several of the families showed haplotypes co-segregating with OCD. Conclusions The results of this study represent the strongest linkage finding for OCD in a primary analysis to date and suggest that chromosome 1p36, and possibly several other genomic regions, may harbor susceptibility loci for OCD. Multiple brain-expressed genes lie under the primary linkage peak (approximately 4 megabases in size). Follow-up studies, including replication in additional samples and targeted sequencing of the areas of interest, are needed to confirm these findings and to identify specific OCD risk variants.

Published
2012

25. Characteristics and co-morbidity of ADHD sib pairs in the Central Valley of Costa Rica

Author

Luis Diego Herrera, Evelyn Vaglio, Monica Berrocal, Denise A. Chavira, Nicholas T. Weiss, Eduardo Fournier, Jovita Schuler, Brooke Sheppard, James J. McGough, and Carol A. Mathews

Subjects
Proband, Adult, Costa Rica, Male, medicine.medical_specialty, Adolescent, lcsh:RC435-571, Concordance, Comorbidity, Severity of Illness Index, Article, lcsh:Psychiatry, Epidemiology, Severity of illness, mental disorders, medicine, Genetic predisposition, Prevalence, Humans, Age of Onset, Child, Mental Disorders, Siblings, medicine.disease, Diagnostic and Statistical Manual of Mental Disorders, Psychiatry and Mental health, Clinical Psychology, Attention Deficit Disorder with Hyperactivity, Anxiety, Female, medicine.symptom, Age of onset, Psychology, Clinical psychology
Abstract

Background While genetic epidemiological studies demonstrate a substantial degree of genetic predisposition for attention-deficit/hyperactivity disorder (ADHD), they also suggest that the genetics are complex and may differ between populations or ethnic groups. Objective This study describes the phenomenology of siblings with ADHD from the genetically isolated population of the Central Valley of Costa Rica. Methods Rates of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV)–defined ADHD subtypes and comorbid conditions were calculated in a sample of 157 ADHD-affected children (probands and siblings) recruited for genetic studies using standardized approaches. Sib-sib comparisons and logistic regressions were conducted to identify significant patterns of concordance. Results Combined-type ADHD (69.5%) was the most common subtype among probands, followed by the inattentive (27.4%), and hyperactive-impulsive (3.2%) subtypes. Anxiety disorders were prevalent (55.9%), as were disruptive behavior disorders (30.9%) and Tourette disorder (17.0%). Probands and siblings showed high sib-sib concordance for anxiety disorders. Conclusions ADHD in Costa Rica is similar in clinical and demographic characteristics to ADHD seen in other parts of the world, although the rates of co-occurring psychiatric disorders differ somewhat from those previously reported in Latin American samples. Comorbid anxiety is prevalent, with high rates of sib-sib concordance, and may represent a distinct, homogeneous subgroup suitable for genetic studies.

Published
2011

26. Genomewide Linkage Analysis in Costa Rican Families Implicates Chromosome 15q14 as a Candidate Region for OCD

Author

Denise A. Chavira, Helena Garrido, Judith A. Badner, Pamela Doo, Eduardo Fournier, Jonathan M. Woo, Paula Umaña, Brooke Sheppard, Jessica Ross, Sarah S. Murray, Carol A. Mathews, and Marco A. Grados

Subjects
Costa Rica, Male, Candidate gene, Obsessive-Compulsive Disorder, Genotype, Genetic Linkage, Genome-wide association study, Single-nucleotide polymorphism, Biology, behavioral disciplines and activities, Polymorphism, Single Nucleotide, Chromosomes, Article, Paediatrics and Reproductive Medicine, Complementary and Alternative Medicine, Genetic linkage, mental disorders, Genetics, Humans, Genetic Predisposition to Disease, Polymorphism, Age of Onset, Genetics (clinical), Linkage (software), Genetics & Heredity, Family Health, Chromosomes, Human, Pair 15, Haplotype, Pair 15, Chromosome Mapping, Ryanodine Receptor Calcium Release Channel, DNA, Single Nucleotide, Sequence Analysis, DNA, Human genetics, Pedigree, Haplotypes, Female, Lod Score, Sequence Analysis, Human, Genome-Wide Association Study
Abstract

Obsessive compulsive disorder (OCD) has a complex etiology that encompasses both genetic and environmental factors. However, to date, despite the identification of several promising candidate genes and linkage regions, the genetic causes of OCD are largely unknown. The objective of this study was to conduct linkage studies of childhood-onset OCD, which is thought to have the strongest genetic etiology, in several OCD-affected families from the genetically isolated population of the Central Valley of Costa Rica (CVCR). The authors used parametric and non-parametric approaches to conduct genome-wide linkage analyses using 5,786 single nucleotide repeat polymorphisms (SNPs) in three CVCR families with multiple childhood-onset OCD-affected individuals. We identified areas of suggestive linkage (LOD score ≥2) on chromosomes 1p21, 15q14, 16q24, and 17p12. The strongest evidence for linkage was on chromosome 15q14 (LOD = 3.13), identified using parametric linkage analysis with a recessive model, and overlapping a region identified in a prior linkage study using a Caucasian population. Each CVCR family had a haplotype that co-segregated with OCD across a ∼7 Mbp interval within this region, which contains 18 identified brain expressed genes, several of which are potentially relevant to OCD. Exonic sequencing of the strongest candidate gene in this region, the ryanodine receptor 3 (RYR3), identified several genetic variants of potential interest, although none co-segregated with OCD in all three families. These findings provide evidence that chromosome 15q14 is linked to OCD in families from the CVCR, and supports previous findings to suggest that this region may contain one or more OCD susceptibility loci. © 2011 Springer-Verlag.

Published
2011

27. ADHD Prevalence and Association with Hoarding Behaviors in Childhood-Onset OCD

Author

Brooke Sheppard, Helena Garrido, Paula Umaña, Carol A. Mathews, Marco A. Grados, Denise A. Chavira, and Amin Azzam

Subjects
Adult, Costa Rica, Male, medicine.medical_specialty, Obsessive-Compulsive Disorder, Adolescent, Population, Hoarding, behavioral disciplines and activities, Article, mental disorders, medicine, Attention deficit hyperactivity disorder, Humans, Age of Onset, education, Psychiatry, Child, Depression (differential diagnoses), education.field_of_study, Odds ratio, Middle Aged, medicine.disease, Comorbidity, United States, Psychiatry and Mental health, Clinical Psychology, Attention Deficit Disorder with Hyperactivity, Anxiety, Female, medicine.symptom, Age of onset, Psychology, Clinical psychology
Abstract

Background: It has been suggested that attention-deficit hyperactivity disorder (ADHD) and obsessive–compulsive disorder (OCD), both neurodevelopmental disorders with onset in childhood, are highly comorbid, but previous studies examining ADHD and OCD comorbidity have been quite variable, partly because of inconsistency in excluding individuals with tic disorders. Similarly, ADHD has been postulated to be associated with hoarding although this potential relationship is largely methodologically unexplored. This study aimed to examine the prevalence of ADHD among individuals with childhood-onset OCD but without comorbid tic disorders, as well as to examine the relationship between clinically significant hoarding behaviors (hoarding) and ADHD. Method: ADHD prevalence rates and the relationship between ADHD and hoarding were examined in 155 OCD-affected individuals (114 probands and 41 relatives, age range 4–82 years) recruited for genetic studies and compared to pooled prevalence rates derived from previously published studies. Results: In total, 11.8% met criteria for definite ADHD, whereas an additional 8.6% had probable or definite ADHD (total=20.4%). In total, 41.9% of participants with ADHD also had hoarding compared to 29.2% of participants without ADHD. Hoarding was the only demographic or clinical variable independently associated with ADHD (odds ratio=9.54, P

Published
2010

28. Erratum: Genome-wide association study of obsessive-compulsive disorder

Author

Yi Wang, Nancy J. Cox, Sian M. J. Hemmings, Homero Vallada, Rianne M. Blom, Susanne Walitza, Euripedes Constantino Miguel, Christine Lochner, Peter Falkai, Margaret A. Richter, Eduardo Fournier, Danielle C. Cath, Christopher K. Edlund, M. A. Grados, Lauren M. McGrath, Michael A. Jenike, Patrick Evans, Jack Samuels, Michael H. Bloch, Jacquelyn Crane, Christopher Pittenger, Dan J. Stein, J.H. Smit, James F. Leckman, Richard Delorme, John Hardy, David L. Pauls, Donald W. Black, C. Illman, Danielle Posthuma, Mark A. Riddle, Amin Azzam, Beatriz Camarena, Leonhard Lennertz, Melissa Parkin, Carolina Cappi, Maria Cristina Cavallini, H.G.M. Westenberg, Lisa Osiecki, Paula Umaña, W. Maier, Jesen Fagerness, James A. Knowles, Michael Wagner, Jeremiah M. Scharf, Denise A. Chavira, Shaun Purcell, Anna Tikhomirov, Daniele Cusi, Marion Leboyer, Andrew B. Singleton, Francesca Frau, Abby J. Fyer, Chunyu Liu, H-J Grabe, James T. McCracken, Paul D. Arnold, Peter Heutink, Mark R. Cookson, J Veenstra-Vander Weele, M Conceição do Rosário, Anna Pluzhnikov, Michele T. Pato, Carol A. Mathews, Daniel B. Mirel, Rainald Moessner, James L. Kennedy, Andrew Crenshaw, Eric R. Gamazon, Jens R. Wendland, S. E. Stewart, Anuar Konkashbaev, Benjamin M. Neale, Stephan Ruhrmann, David V. Conti, Valsama Eapen, Humberto Nicolini, Karin Egberts, Dianne M. Hezel, Fabio Macciardi, Nuria Lanzagorta, Stephen A. Haddad, Carlos N. Pato, Benjamin D. Greenberg, Brooke Sheppard, Eric Strengman, David R. Rosenberg, Gregory L. Hanna, C. Mayerfeld, Bernadette Cullen, Aline S. Sampaio, Laura Bellodi, Helena Garrido, Dieter Deforce, F. Van Nieuwerburgh, Roel A. Ophoff, Gerald Nestadt, Dongmei Yu, D. Denys, E. Voyiaziakis, Maurizio Turiel, D. L. Murphy, Edwin H. Cook, Scott L. Rauch, Ana Gabriela Hounie, Vladimir Coric, Tobias J. Renner, Oscar J. Bienvenu, and J. R. Gibbs

Subjects
Cellular and Molecular Neuroscience, Psychiatry and Mental health, medicine.medical_specialty, Obsessive compulsive, medicine, Genome-wide association study, Line (text file), Psychiatry, Psychology, Molecular Biology
Abstract

Correction to: Molecular Psychiatry advance online publication, 14 August 2012; doi:10.1038/mp.2012.85 The name of coauthor LK Davis was omitted from the author line. Dr Davis should have been listed as the tenth author (between ER Gamazon and L Osiecki). Her affiliation is as follows: Department ofMedicine, University of Chicago, Chicago, IL, USA.

Published
2013

Catalog

Books, media, physical & digital resources
See catalog results