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Featured researches published by Anjene Addington.


Science | 2008

Rare Structural Variants Disrupt Multiple Genes in Neurodevelopmental Pathways in Schizophrenia

Tom Walsh; Jon McClellan; Shane McCarthy; Anjene Addington; Sarah B. Pierce; Greg M. Cooper; Alex S. Nord; Mary Kusenda; Dheeraj Malhotra; Abhishek Bhandari; Sunday M. Stray; Caitlin Rippey; Patricia Roccanova; Vlad Makarov; B. Lakshmi; Robert L. Findling; Linmarie Sikich; Thomas Stromberg; Barry Merriman; Nitin Gogtay; Philip Butler; Kristen Eckstrand; Laila Noory; Peter Gochman; Robert Long; Zugen Chen; Sean Davis; Carl Baker; Evan E. Eichler; Paul S. Meltzer

Schizophrenia is a devastating neurodevelopmental disorder whose genetic influences remain elusive. We hypothesize that individually rare structural variants contribute to the illness. Microdeletions and microduplications >100 kilobases were identified by microarray comparative genomic hybridization of genomic DNA from 150 individuals with schizophrenia and 268 ancestry-matched controls. All variants were validated by high-resolution platforms. Novel deletions and duplications of genes were present in 5% of controls versus 15% of cases and 20% of young-onset cases, both highly significant differences. The association was independently replicated in patients with childhood-onset schizophrenia as compared with their parents. Mutations in cases disrupted genes disproportionately from signaling networks controlling neurodevelopment, including neuregulin and glutamate pathways. These results suggest that multiple, individually rare mutations altering genes in neurodevelopmental pathways contribute to schizophrenia.


Molecular Psychiatry | 2005

The neurodevelopmental model of schizophrenia: update 2005

Judith L. Rapoport; Anjene Addington; Sophia Frangou; M R C Psych

Neurodevelopmental models of schizophrenia that identify longitudinal precursors of illness have been of great heuristic importance focusing most etiologic research over the past two decades. These models have varied considerably with respect to specificity and timing of hypothesized genetic and environmental ‘hits’, but have largely focused on insults to prenatal brain development. With heritability around 80%, nongenetic factors impairing development must also be part of the model, and any model must also account for the wide range of age of onset. In recent years, longitudinal brain imaging studies of both early and adult (to distinguish from late ie elderly) onset populations indicate that progressive brain changes are more dynamic than previously thought, with gray matter volume loss particularly striking in adolescence and appearing to be an exaggeration of the normal developmental pattern. This supports an extended time period of abnormal neurodevelopment in schizophrenia in addition to earlier ‘lesions’. Many subtle cognitive, motor, and behavioral deviations are seen years before illness onset, and these are more prominent in early onset cases. Moreover, schizophrenia susceptibility genes and chromosomal abnormalities, particularly as examined for early onset populations (ie GAD1, 22q11DS), are associated with premorbid neurodevelopmental abnormalities. Several candidate genes for schizophrenia (eg dysbindin) are associated with lower cognitive abilities in both schizophrenic and other pediatric populations more generally. Postmortem human brain and developmental animal studies document multiple and diverse effects of developmental genes (including schizophrenia susceptibility genes), at sequential stages of brain development. These may underlie the broad array of premorbid cognitive and behavioral abnormalities seen in schizophrenia, and neurodevelopmental disorders more generally. Increased specificity for the most relevant environmental risk factors such as exposure to prenatal infection, and their interaction with susceptibility genes and/or action through phase-specific altered gene expression now both strengthen and modify the neurodevelopmental theory of schizophrenia.


Nature Genetics | 2009

Microduplications of 16p11.2 are associated with schizophrenia.

Shane McCarthy; Vladimir Makarov; George Kirov; Anjene Addington; Jon McClellan; Seungtai Yoon; Diana O. Perkins; Diane E. Dickel; Mary Kusenda; Olga Krastoshevsky; Verena Krause; Ravinesh A. Kumar; Detelina Grozeva; Dheeraj Malhotra; Tom Walsh; Elaine H. Zackai; Jaya Ganesh; Ian D. Krantz; Nancy B. Spinner; Patricia Roccanova; Abhishek Bhandari; Kevin Pavon; B. Lakshmi; Anthony Leotta; Jude Kendall; Yoon-ha Lee; Vladimir Vacic; Sydney Gary; Lilia M. Iakoucheva; Timothy J. Crow

Recurrent microdeletions and microduplications of a 600-kb genomic region of chromosome 16p11.2 have been implicated in childhood-onset developmental disorders. We report the association of 16p11.2 microduplications with schizophrenia in two large cohorts. The microduplication was detected in 12/1,906 (0.63%) cases and 1/3,971 (0.03%) controls (P = 1.2 × 10−5, OR = 25.8) from the initial cohort, and in 9/2,645 (0.34%) cases and 1/2,420 (0.04%) controls (P = 0.022, OR = 8.3) of the replication cohort. The 16p11.2 microduplication was associated with a 14.5-fold increased risk of schizophrenia (95% CI (3.3, 62)) in the combined sample. A meta-analysis of datasets for multiple psychiatric disorders showed a significant association of the microduplication with schizophrenia (P = 4.8 × 10−7), bipolar disorder (P = 0.017) and autism (P = 1.9 × 10−7). In contrast, the reciprocal microdeletion was associated only with autism and developmental disorders (P = 2.3 × 10−13). Head circumference was larger in patients with the microdeletion than in patients with the microduplication (P = 0.0007).


Proceedings of the National Academy of Sciences of the United States of America | 2010

De novo mutations in the gene encoding the synaptic scaffolding protein SHANK3 in patients ascertained for schizophrenia

Julie Gauthier; Nathalie Champagne; Ronald G. Lafrenière; Lan Xiong; Dan Spiegelman; Edna Brustein; Mathieu Lapointe; Huashan Peng; Mélanie Côté; Anne Noreau; Fadi F. Hamdan; Anjene Addington; Judith L. Rapoport; Lynn E. DeLisi; Marie-Odile Krebs; Ridha Joober; Ferid Fathalli; Fayçal Mouaffak; Ali P. Haghighi; Christian Neri; Marie-Pierre Dubé; Mark E. Samuels; Claude Marineau; Eric A. Stone; Philip A. Barker; Salvatore Carbonetto; Pierre Drapeau; Guy A. Rouleau

Schizophrenia likely results from poorly understood genetic and environmental factors. We studied the gene encoding the synaptic protein SHANK3 in 285 controls and 185 schizophrenia patients with unaffected parents. Two de novo mutations (R1117X and R536W) were identified in two families, one being found in three affected brothers, suggesting germline mosaicism. Zebrafish and rat hippocampal neuron assays revealed behavior and differentiation defects resulting from the R1117X mutant. As mutations in SHANK3 were previously reported in autism, the occurrence of SHANK3 mutations in subjects with a schizophrenia phenotype suggests a molecular genetic link between these two neurodevelopmental disorders.


Journal of the American Academy of Child and Adolescent Psychiatry | 2009

Autism Spectrum Disorders and Childhood-Onset Schizophrenia: Clinical and Biological Contributions to a Relation Revisited.

Judith L. Rapoport; Alex Chavez; Deanna Greenstein; Anjene Addington; Nitin Gogtay

OBJECTIVE To highlight emerging evidence for clinical and biological links between autism/pervasive developmental disorder (PDD) and schizophrenia, with particular attention to childhood-onset schizophrenia (COS). METHOD Clinical, demographic, and brain developmental data from the National Institute of Mental Health (and other) COS studies and selected family, imaging, and genetic data from studies of autism, PDD, and schizophrenia were reviewed. RESULTS In the two large studies that have examined this systematically, COS is preceded by and comorbid with PDD in 30% to 50% of cases. Epidemiological and family studies find association between the disorders. Both disorders have evidence of accelerated trajectories of anatomic brain development at ages near disorder onset. A growing number of risk genes and/or rare small chromosomal variants (microdeletions or duplications) are shared by schizophrenia and autism. CONCLUSIONS Biological risk does not closely follow DSM phenotypes, and core neurobiological processes are likely common for subsets of these two heterogeneous clinical groups. Long-term prospective follow-up of autistic populations and greater diagnostic distinction between schizophrenia spectrum and autism spectrum disorders in adult relatives are needed.


American Journal of Medical Genetics | 2005

Support for association between ADHD and two candidate genes : NET1 and DRD1

Aaron J. Bobb; Anjene Addington; Ellen Sidransky; Michele Gornick; Jason P. Lerch; Deanna Greenstein; Liv Clasen; Wendy Sharp; Gale Inoff-Germain; Fabienne Wavrant-De Vrièze; Mauricio Arcos-Burgos; Richard E. Straub; John Hardy; F. Xavier Castellanos; Judith L. Rapoport

Attention deficit hyperactivity disorder (ADHD) is a common, multifactorial disorder with significant genetic contribution. Multiple candidate genes have been studied in ADHD, including the norepinephrine transporter (NET1) and dopamine D1 receptor (DRD1). NET1 is implicated in ADHD because of the efficacy of atomoxetine, a selective noradrenergic reuptake inhibitor, in the treatment of ADHD. DRD1 is primarily implicated through mouse models of ADHD. DNA from 163 ADHD probands, 192 parents, and 129 healthy controls was used to investigate possible associations between ADHD and polymorphisms in 12 previously studied candidate genes (5‐HT1B, 5‐HT2A, 5‐HT2C, ADRA2A, CHRNA4, COMT, DAT1, DRD1, DRD4, DRD5, NET1, and SNAP‐25). Analyses included case‐control and family‐based methods, and dimensional measures of behavior, cognition, and anatomic brain magnetic resonance imaging (MRI). Of the 12 genes examined, two showed a significant association with ADHD. Transmission disequilibrium test (TDT) analysis revealed significant association of two NET1 single nucleotide polymorphisms (SNPs) with ADHD (P ≤ 0.009); case‐control analysis revealed significant association of two DRD1 SNPs with ADHD (P ≤ 0.008). No behavioral, cognitive, or brain MRI volume measurement significantly differed across NET1 or DRD1 genotypes at an alpha of 0.01. This study provides support for an association between ADHD and polymorphisms in both NET1 and DRD1; polymorphisms in ten other candidate genes were not associated with ADHD. Because family‐based and case‐control methods gave divergent results, both should be used in genetic studies of ADHD.


American Journal of Human Genetics | 2010

Direct Measure of the De Novo Mutation Rate in Autism and Schizophrenia Cohorts

Julie Gauthier; Rachel A. Myers; Ferran Casals; Fadi F. Hamdan; Alexander R. Griffing; Mélanie Côté; Edouard Henrion; Dan Spiegelman; Julien Tarabeux; Amélie Piton; Yan Yang; Adam R. Boyko; Carlos Bustamante; Lan Xiong; Judith L. Rapoport; Anjene Addington; J. Lynn E. DeLisi; Marie-Odile Krebs; Ridha Joober; Bruno Millet; Eric Fombonne; Laurent Mottron; Martine Zilversmit; Jon Keebler; Hussein Daoud; Claude Marineau; Marie-Hélène Roy-Gagnon; Marie-Pierre Dubé; Adam Eyre-Walker; Pierre Drapeau

The role of de novo mutations (DNMs) in common diseases remains largely unknown. Nonetheless, the rate of de novo deleterious mutations and the strength of selection against de novo mutations are critical to understanding the genetic architecture of a disease. Discovery of high-impact DNMs requires substantial high-resolution interrogation of partial or complete genomes of families via resequencing. We hypothesized that deleterious DNMs may play a role in cases of autism spectrum disorders (ASD) and schizophrenia (SCZ), two etiologically heterogeneous disorders with significantly reduced reproductive fitness. We present a direct measure of the de novo mutation rate (μ) and selective constraints from DNMs estimated from a deep resequencing data set generated from a large cohort of ASD and SCZ cases (n = 285) and population control individuals (n = 285) with available parental DNA. A survey of ∼430 Mb of DNA from 401 synapse-expressed genes across all cases and 25 Mb of DNA in controls found 28 candidate DNMs, 13 of which were cell line artifacts. Our calculated direct neutral mutation rate (1.36 × 10(-8)) is similar to previous indirect estimates, but we observed a significant excess of potentially deleterious DNMs in ASD and SCZ individuals. Our results emphasize the importance of DNMs as genetic mechanisms in ASD and SCZ and the limitations of using DNA from archived cell lines to identify functional variants.


Molecular Psychiatry | 2011

Systematic resequencing of X-chromosome synaptic genes in autism spectrum disorder and schizophrenia.

Amélie Piton; Julie Gauthier; Fadi F. Hamdan; Ronald G. Lafrenière; Yan Yang; Edouard Henrion; Sandra Laurent; Anne Noreau; Pascale Thibodeau; Karemera L; Dan Spiegelman; Kuku F; Duguay J; Destroismaisons L; Jolivet P; Mélanie Côté; Lachapelle K; Ousmane Diallo; Raymond A; Claude Marineau; Nathalie Champagne; Lan Xiong; Claudia Gaspar; Jean-Baptiste Rivière; Julien Tarabeux; Patrick Cossette; Marie-Odile Krebs; Judith L. Rapoport; Anjene Addington; Lynn E. DeLisi

Autism spectrum disorder (ASD) and schizophrenia (SCZ) are two common neurodevelopmental syndromes that result from the combined effects of environmental and genetic factors. We set out to test the hypothesis that rare variants in many different genes, including de novo variants, could predispose to these conditions in a fraction of cases. In addition, for both disorders, males are either more significantly or more severely affected than females, which may be explained in part by X-linked genetic factors. Therefore, we directly sequenced 111 X-linked synaptic genes in individuals with ASD (n=142; 122 males and 20 females) or SCZ (n=143; 95 males and 48 females). We identified >200 non-synonymous variants, with an excess of rare damaging variants, which suggest the presence of disease-causing mutations. Truncating mutations in genes encoding the calcium-related protein IL1RAPL1 (already described in Piton et al. Hum Mol Genet 2008) and the monoamine degradation enzyme monoamine oxidase B were found in ASD and SCZ, respectively. Moreover, several promising non-synonymous rare variants were identified in genes encoding proteins involved in regulation of neurite outgrowth and other various synaptic functions (MECP2, TM4SF2/TSPAN7, PPP1R3F, PSMD10, MCF2, SLITRK2, GPRASP2, and OPHN1).


The New England Journal of Medicine | 2009

Mutations in SYNGAP1 in Autosomal Nonsyndromic Mental Retardation

Fadi F. Hamdan; Julie Gauthier; Dan Spiegelman; Anne Noreau; Yan Yang; Stéphanie Pellerin; Mélanie Côté; Elizabeth Perreau-Linck; Lionel Carmant; Guy D’Anjou; Eric Fombonne; Anjene Addington; Judith L. Rapoport; Lynn E. DeLisi; Marie-Odile Krebs; Fayçal Mouaffak; Ridha Joober; Laurent Mottron; Pierre Drapeau; Claude Marineau; Ronald G. Lafrenière; Jean Claude Lacaille; Guy A. Rouleau; Jacques L. Michaud

Although autosomal forms of nonsyndromic mental retardation account for the majority of cases of mental retardation, the genes that are involved remain largely unknown. We sequenced the autosomal gene SYNGAP1, which encodes a ras GTPase-activating protein that is critical for cognition and synapse function, in 94 patients with nonsyndromic mental retardation. We identified de novo truncating mutations (K138X, R579X, and L813RfsX22) in three of these patients. In contrast, we observed no de novo or truncating mutations in SYNGAP1 in samples from 142 subjects with autism spectrum disorders, 143 subjects with schizophrenia, and 190 control subjects. These results indicate that SYNGAP1 disruption is a cause of autosomal dominant nonsyndromic mental retardation.


Molecular Psychiatry | 2005

GAD1 (2q31.1), which encodes glutamic acid decarboxylase (GAD 67 ), is associated with childhood-onset schizophrenia and cortical gray matter volume loss

Anjene Addington; Michele Gornick; J. Duckworth; Alexandra Sporn; Nitin Gogtay; Aaron J. Bobb; Deanna Greenstein; Marge Lenane; Peter Gochman; Natalie Baker; Rishi Balkissoon; Radhakrishna Vakkalanka; Daniel R. Weinberger; Judith L. Rapoport; Richard E. Straub

Postmortem brain studies have shown deficits in the cortical γ-aminobutyric acid (GABA) system in schizophrenic individuals. Expression studies have shown a decrease in the major GABA-synthesizing enzyme (glutamic acid decarboxylase (GAD67) mRNA levels in neurons in dorsolateral prefrontal cortex in schizophrenics relative to controls. In the present study, SNPs in and around the GAD1 gene, which encodes the protein GAD67, were tested on a rare, severely ill group of children and adolescents with childhood-onset schizophrenia (COS) (n=72), in a family-based association analysis. Compared to adult-onset samples, the COS sample has evidence for more salient familial, and perhaps genetic, risk factors for schizophrenia, as well as evidence for frontal cortical hypofunction, and greater decline in cortical gray matter volume on anatomic brain MRI scans during adolescence. We performed family-based TDT and haplotype association analyses of the clinical phenotype, as well as association analyses with endophenotypes using the QTDT program. Three adjacent SNPs in the 5′ upstream region of GAD1 showed a positive pairwise association with illness in these families (P=0.022–0.057). Significant transmission distortion of 4-SNP haplotypes was also observed (P=0.003–0.008). Quantitative trait TDT analyses showed an intriguing association between several SNPs and increased rate of frontal gray matter loss. These observations, when taken together with the positive results reported recently in two independent adult-onset schizophrenia pedigree samples, suggest that the gene encoding GAD67 may be a common risk factor for schizophrenia.

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Judith L. Rapoport

National Institutes of Health

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Nitin Gogtay

National Institutes of Health

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Deanna Greenstein

National Institutes of Health

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Michele Gornick

National Institutes of Health

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Robert Long

National Institutes of Health

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Peter Gochman

National Institutes of Health

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Liv Clasen

National Institutes of Health

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Jay N. Giedd

National Institutes of Health

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Marge Lenane

National Institutes of Health

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Yohan Lee

National Institutes of Health

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