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Your search keyword '"Belliveau, Rich"' showing total 3 results
Start Over Author "Belliveau, Rich" Topic biological sciences
3 results on '"Belliveau, Rich"'

1. Identification of common genetic risk variants for autism spectrum disorder

Author

Grove, Jakob, Ripke, Stephan, Als, Thomas D, Mattheisen, Manuel, Walters, Raymond K, Won, Hyejung, Pallesen, Jonatan, Agerbo, Esben, Andreassen, Ole A, Anney, Richard, Awashti, Swapnil, Belliveau, Rich, Bettella, Francesco, Buxbaum, Joseph D, Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Cerrato, Felecia, Chambert, Kimberly, Christensen, Jane H, Churchhouse, Claire, Dellenvall, Karin, Demontis, Ditte, De Rubeis, Silvia, Devlin, Bernie, Djurovic, Srdjan, Dumont, Ashley L, Goldstein, Jacqueline I, Hansen, Christine S, Hauberg, Mads Engel, Hollegaard, Mads V, Hope, Sigrun, Howrigan, Daniel P, Huang, Hailiang, Hultman, Christina M, Klei, Lambertus, Maller, Julian, Martin, Joanna, Martin, Alicia R, Moran, Jennifer L, Nyegaard, Mette, Nærland, Terje, Palmer, Duncan S, Palotie, Aarno, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, dPoterba, Timothy, Poulsen, Jesper Buchhave, Pourcain, Beate St, Qvist, Per, Rehnström, Karola, Reichenberg, Abraham, Reichert, Jennifer, Robinson, Elise B, Roeder, Kathryn, Roussos, Panos, Saemundsen, Evald, Sandin, Sven, Satterstrom, F Kyle, Davey Smith, George, Stefansson, Hreinn, Steinberg, Stacy, Stevens, Christine R, Sullivan, Patrick F, Turley, Patrick, Walters, G Bragi, Xu, Xinyi, Stefansson, Kari, Geschwind, Daniel H, Nordentoft, Merete, Hougaard, David M, Werge, Thomas, Mors, Ole, Mortensen, Preben Bo, Neale, Benjamin M, Daly, Mark J, and Børglum, Anders D

Subjects
Intellectual and Developmental Disabilities (IDD), Human Genome, Pediatric, Brain Disorders, Autism, Biotechnology, Genetics, Mental Health, Prevention, 2.3 Psychological, social and economic factors, Aetiology, 2.1 Biological and endogenous factors, Mental health, Adolescent, Autism Spectrum Disorder, Case-Control Studies, Child, Child, Preschool, Denmark, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample-size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 individuals with ASD and 27,969 controls that identified five genome-wide-significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), we identified seven additional loci shared with other traits at equally strict significance levels. Dissecting the polygenic architecture, we found both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis, and establish that GWAS performed at scale will be much more productive in the near term in ASD.

Published
2019

2. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder.

Author

Demontis, Ditte, Walters, Raymond K, Martin, Joanna, Mattheisen, Manuel, Als, Thomas D, Agerbo, Esben, Baldursson, Gísli, Belliveau, Rich, Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Cerrato, Felecia, Chambert, Kimberly, Churchhouse, Claire, Dumont, Ashley, Eriksson, Nicholas, Gandal, Michael, Goldstein, Jacqueline I, Grasby, Katrina L, Grove, Jakob, Gudmundsson, Olafur O, Hansen, Christine S, Hauberg, Mads Engel, Hollegaard, Mads V, Howrigan, Daniel P, Huang, Hailiang, Maller, Julian B, Martin, Alicia R, Martin, Nicholas G, Moran, Jennifer, Pallesen, Jonatan, Palmer, Duncan S, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Poterba, Timothy, Poulsen, Jesper Buchhave, Ripke, Stephan, Robinson, Elise B, Satterstrom, F Kyle, Stefansson, Hreinn, Stevens, Christine, Turley, Patrick, Walters, G Bragi, Won, Hyejung, Wright, Margaret J, ADHD Working Group of the Psychiatric Genomics Consortium (PGC), Early Lifecourse & Genetic Epidemiology (EAGLE) Consortium, 23andMe Research Team, Andreassen, Ole A, Asherson, Philip, Burton, Christie L, Boomsma, Dorret I, Cormand, Bru, Dalsgaard, Søren, Franke, Barbara, Gelernter, Joel, Geschwind, Daniel, Hakonarson, Hakon, Haavik, Jan, Kranzler, Henry R, Kuntsi, Jonna, Langley, Kate, Lesch, Klaus-Peter, Middeldorp, Christel, Reif, Andreas, Rohde, Luis Augusto, Roussos, Panos, Schachar, Russell, Sklar, Pamela, Sonuga-Barke, Edmund JS, Sullivan, Patrick F, Thapar, Anita, Tung, Joyce Y, Waldman, Irwin D, Medland, Sarah E, Stefansson, Kari, Nordentoft, Merete, Hougaard, David M, Werge, Thomas, Mors, Ole, Mortensen, Preben Bo, Daly, Mark J, Faraone, Stephen V, Børglum, Anders D, and Neale, Benjamin M

Subjects
ADHD Working Group of the Psychiatric Genomics Consortium, Early Lifecourse & Genetic Epidemiology (EAGLE) Consortium, 23andMe Research Team, Brain, Humans, Genetic Predisposition to Disease, Risk, Cohort Studies, Attention Deficit Disorder with Hyperactivity, Gene Expression Regulation, Polymorphism, Single Nucleotide, Adolescent, Child, Child, Preschool, Female, Male, Genome-Wide Association Study, Genetic Loci, Clinical Research, Mental Health, Human Genome, Pediatric, Prevention, Genetics, Brain Disorders, Attention Deficit Hyperactivity Disorder (ADHD), Behavioral and Social Science, Aetiology, 2.1 Biological and endogenous factors, Mental health, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Attention deficit/hyperactivity disorder (ADHD) is a highly heritable childhood behavioral disorder affecting 5% of children and 2.5% of adults. Common genetic variants contribute substantially to ADHD susceptibility, but no variants have been robustly associated with ADHD. We report a genome-wide association meta-analysis of 20,183 individuals diagnosed with ADHD and 35,191 controls that identifies variants surpassing genome-wide significance in 12 independent loci, finding important new information about the underlying biology of ADHD. Associations are enriched in evolutionarily constrained genomic regions and loss-of-function intolerant genes and around brain-expressed regulatory marks. Analyses of three replication studies: a cohort of individuals diagnosed with ADHD, a self-reported ADHD sample and a meta-analysis of quantitative measures of ADHD symptoms in the population, support these findings while highlighting study-specific differences on genetic overlap with educational attainment. Strong concordance with GWAS of quantitative population measures of ADHD symptoms supports that clinical diagnosis of ADHD is an extreme expression of continuous heritable traits.

Published
2019

3. Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap

Author

Gandal, Michael J, Haney, Jillian R, Parikshak, Neelroop N, Leppa, Virpi, Ramaswami, Gokul, Hartl, Chris, Schork, Andrew J, Appadurai, Vivek, Buil, Alfonso, Werge, Thomas M, Liu, Chunyu, White, Kevin P, Horvath, Steve, Geschwind, Daniel H, Sestan, Nenad, Vaccarino, Flora, Gerstein, Mark, Weissman, Sherman, Pochareddy, Sirisha, State, Matthew, Knowles, James, Farnham, Peggy, Akbarian, Schahram, Pinto, Dalila, Van Baekl, Harm, Dracheva, Stella, Jaffe, Andrew, Hyde, Thomas, Zandi, Peter, Crawford, Gregory, Sullivan, Pat, Thompson, Wesley Kurt, Mortensen, Preben Bo, Agerbo, Esben, Pedersen, Marianne Giørtz, Pedersen, Carsten Bøcker, Mors, Ole, Børglum, Anders D, Nordentoft, Merete, Hougaard, David M, Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Martin, Alicia R, Dumont, Ashley, Stevens, Christine, Churchhouse, Claire, Howrigan, Daniel P, Palmer, Duncan S, Robinson, Elise B, Satterstrom, Kyle F, Cerrato, Felecia, Huang, Hailiang, Goldstein, Jacqueline, Moran, Jennifer, Julian, Joanna Martin, Kimberly, Maller, Patrick, Chambert, Turley, Patrick, Walters, Raymond, Belliveau, Rich, Ripke, Stephan, Poterba, Timothy, Daly, Mark J, Neale, Benjamin, Fromer, Menachem, Roussos, Panos, Johnson, Jessica S, Shah, Hardik R, Mahajan, Milind C, Schadt, Eric, Haroutunian, Vahram, Ruderfer, Douglas M, Buxbaum, Joseph D, Sieberts, Solveig K, Dang, Kristen, Logsdon, Ben, Mangravite, Lara M, Peters, Mette, Gur, Raquel E, Hahn, Chang-Gyu, Devlin, Bernie, Klei, Lambertus L, Lewis, David, Lipska, Barbara, Hirai, Keisuke, Toyoshiba, Hiroyoshi, and Domenici, Enrico

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Biological Psychology, Psychology, Pharmacology and Pharmaceutical Sciences, Serious Mental Illness, Brain Disorders, Human Genome, Mental Health, Schizophrenia, Neurosciences, Bipolar Disorder, Depression, Mental Illness, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Cerebral Cortex, Gene Expression Profiling, Gene Expression Regulation, Genetic Predisposition to Disease, Humans, Mental Disorders, Multifactorial Inheritance, Nervous System Diseases, Polymorphism, Single Nucleotide, Transcription, Genetic, CommonMind Consortium, PsychENCODE Consortium, iPSYCH-BROAD Working Group, General Science & Technology
Abstract

The predisposition to neuropsychiatric disease involves a complex, polygenic, and pleiotropic genetic architecture. However, little is known about how genetic variants impart brain dysfunction or pathology. We used transcriptomic profiling as a quantitative readout of molecular brain-based phenotypes across five major psychiatric disorders-autism, schizophrenia, bipolar disorder, depression, and alcoholism-compared with matched controls. We identified patterns of shared and distinct gene-expression perturbations across these conditions. The degree of sharing of transcriptional dysregulation is related to polygenic (single-nucleotide polymorphism-based) overlap across disorders, suggesting a substantial causal genetic component. This comprehensive systems-level view of the neurobiological architecture of major neuropsychiatric illness demonstrates pathways of molecular convergence and specificity.

Published
2018

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