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1. The Genetic Architecture of Obsessive-Compulsive Disorder: Contribution of Liability to OCD From Alleles Across the Frequency Spectrum

Author: Abraham Reichenberg, Nancy L Pedersen, David Mataix-Cols, Matthew W Halvorsen, Bengt Fundín, Lambertus Klei, Cynthia M Bulik, Dorothy E. Grice, Kathryn Roeder, Christian Rück, B. Devlin, James J Crowley, Christina M. Hultman, Joseph D. Buxbaum, Mikael Landén, Sven Sandin, Elles de Schipper, Julia Boberg, Behrang Mahjani, and Manuel Mattheisen
Subjects: Genetics, Multifactorial Inheritance, Obsessive-Compulsive Disorder, Heritability, Biology, behavioral disciplines and activities, Polymorphism, Single Nucleotide, Genetic architecture, Frequency spectrum, Article, Psychiatry and Mental health, Obsessive compulsive, mental disorders, Genetic variation, Humans, Allele, Allele frequency, Alleles, Genome-Wide Association Study
Abstract: Objective: Obsessive-compulsive disorder (OCD) is known to be substantially heritable; however, the contribution of genetic variation across the allele frequency spectrum to this heritability remains uncertain. The authors used two new homogeneous cohorts to estimate the heritability of OCD from inherited genetic variation and contrasted the results with those of previous studies. Methods: The sample consisted of 2,090 Swedish-born individuals diagnosed with OCD and 4,567 control subjects, all genotyped for common genetic variants, specifically >400,000 single-nucleotide polymorphisms (SNPs) with minor allele frequency (MAF) ≥0.01. Using genotypes of these SNPs to estimate distant familial relationships among individuals, the authors estimated the heritability of OCD, both overall and partitioned according to MAF bins. Results: Narrow-sense heritability of OCD was estimated at 29% (SE54%). The estimate was robust, varying only modestly under different models. Contrary to an earlier study, however, SNPs with MAF between 0.01 and 0.05 accounted for 10% of heritability, and estimated heritability per MAF bin roughly followed expectations based on a simple model for SNP-based heritability. Conclusions: These results indicate that common inherited risk variation (MAF ≥0.01) accounts for most of the heritable variation in OCD. SNPs with lowMAFcontribute meaningfully to the heritability of OCD, and the results are consistent with expectation under the "infinitesimal model" (also referred to as the "polygenic model"), where risk is influenced by a large number of loci across the genome and across MAF bins.
Published: 2023
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2. Age dependent association of inbreeding with risk for schizophrenia in Egypt

Author: Salwa Tobar, Ahmed Eissa, Nahed E. Ibrahim, Shawn Wood, Serkan Erdin, Bernie Devlin, Wafaa El-Bahaei, Ahmed R. Ali, Warda Fathi, Hala El-Boraie, Amal Yassein, Ibtihal Ibrahim, Lambertus Klei, Eman Elsheshtawy, Vishwajit L. Nimgaonkar, Alina Maysterchuk, Hanan El Sayed, Lora McClain, Hala Salah, Farha A El-Chennawi, Chowdari Kodavali, Joel Wood, Hader Mansour, and Michael E. Talkowski
Subjects: Adult, Microcephaly, Consanguinity, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Inbreeding, Risk factor, Genotyping, Biological Psychiatry, Exome sequencing, Genetics, Homozygote, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Schizophrenia, Statistical genetics, Egypt, 030217 neurology & neurosurgery
Abstract: Background Self-reported consanguinity is associated with risk for schizophrenia (SZ) in several inbred populations, but estimates using DNA-based coefficients of inbreeding are unavailable. Further, it is not known whether recessively inherited risk mutations can be identified through homozygosity by descent (HBD) mapping. Methods We studied self-reported and DNA-based estimates of inbreeding among Egyptian patients with SZ (n = 421, DSM IV criteria) and adult controls without psychosis (n = 301), who were evaluated using semi-structured diagnostic interview schedules and genotyped using the Illumina Infinium PsychArray. Following quality control checks, coefficients of inbreeding (F) and regions of homozygosity (ROH) were estimated using PLINK software for HBD analysis. Exome sequencing was conducted in selected cases. Results Inbreeding was associated with schizophrenia based on self-reported consanguinity (χ2 = 4.506, 1 df, p = 0.034) and DNA-based estimates for inbreeding (F); the latter with a significant F × age interaction (β = 32.34, p = 0.0047). The association was most notable among patients older than age 40 years. Eleven ROH were over-represented in cases on chromosomes 1, 3, 6, 11, and 14; all but one region is novel for schizophrenia risk. Exome sequencing identified six recessively-acting genes in ROH with loss-of-function variants; one of which causes primary hereditary microcephaly. Conclusions We propose consanguinity as an age-dependent risk factor for SZ in Egypt. HBD mapping is feasible for SZ in adequately powered samples.
Published: 2020
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3. Genome-Wide Association Identifies the First Risk Loci for Psychosis in Alzheimer Disease

Author: Sverre Bergh, Ingvild Saltvedt, Elise A. Weamer, Bernie Devlin, Arvid Rongve, Srdjan Djurovic, Patrizia Mecocci, Clive Ballard, Dag Aarsland, Oscar L. Lopez, Sonia Moreno-Grau, Janet C Harwood, Rebecca Sims, Geir Selbæk, Barbara Borroni, Davide Seripa, Diana De Ronchi, Robert A. Sweet, Gianluigi Forloni, Julie Williams, Ole A. Andreassen, Eystein Stordal, Isabel Hernández, Alessandro Serretti, Lavinia Athanasiu, Mercè Boada, Bo Engdahl, Lambertus Klei, Sergi Valero, Basavaraj Hooli, M. Ilyas Kamboh, Mary Ann A. DeMichele-Sweet, Antonis Politis, Agustín Ruiz, Lora McClain, Tatiana Foroud, Byron Creese, Peter Holmans, Richard Mayeux, Håvard K. Skjellegrind, Diego Albani, Lluís Tárraga, Yushi Liu, Emilio Alarcón-Martín, DeMichele-Sweet M.A.A., Klei L., Creese B., Harwood J.C., Weamer E.A., McClain L., Sims R., Hernandez I., Moreno-Grau S., Tarraga L., Boada M., Alarcon-Martin E., Valero S., Liu Y., Hooli B., Aarsland D., Selbaek G., Bergh S., Rongve A., Saltvedt I., Skjellegrind H.K., Engdahl B., Stordal E., Andreassen O.A., Djurovic S., Athanasiu L., Seripa D., Borroni B., Albani D., Forloni G., Mecocci P., Serretti A., De Ronchi D., Politis A., Williams J., Mayeux R., Foroud T., Ruiz A., Ballard C., Holmans P., Lopez O.L., Kamboh M.I., Devlin B., and Sweet R.A.
Subjects: 0301 basic medicine, Psychosis, Hallucinations, Single-nucleotide polymorphism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Genetic correlation, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Alzheimer Disease, Genetic variation, medicine, Humans, Genetic Predisposition to Disease, Oxidoreductases Acting on Sulfur Group Donors, Bipolar disorder, Molecular Biology, Genetics, business.industry, ad, medicine.disease, Genetic architecture, Psychiatry and Mental health, 030104 developmental biology, Psychotic Disorders, Schizophrenia, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Psychotic symptoms, defined as the occurrence of delusions or hallucinations, are frequent in Alzheimer disease (AD with psychosis, AD+P). AD+P affects ∼50% of individuals with AD, identifies a subgroup with poor outcomes, and is associated with a greater degree of cognitive impairment and depressive symptoms, compared to subjects without psychosis (AD-P). Although the estimated heritability of AD+P is 61%, genetic sources of risk are unknown. We report a genome-wide meta-analysis of 12,317 AD subjects, 5,445 AD+P. Results showed common genetic variation accounted for a significant portion of heritability. Two loci, one in ENPP6 (rs9994623, O.R. (95%CI) 1.16 (1.10, 1.22), p=1.26×10−8) and one spanning the 3’-UTR of an alternatively spliced transcript of SUMF1 (rs201109606, O.R. 0.65 (0.56-0.76), p=3.24×10−8), had genome-wide significant associations with AD+P. Gene-based analysis identified a significant association with APOE, due to the APOE risk haplotype ε4. AD+P demonstrated negative genetic correlations with cognitive and educational attainment and positive genetic correlation with depressive symptoms. We previously observed a negative genetic correlation with schizophrenia; instead, we now found a stronger negative correlation with the related phenotype of bipolar disorder. Analysis of polygenic risk scores supported this genetic correlation and documented a positive genetic correlation with risk variation for AD, beyond the effect of ε4. We also document a small set of SNPs likely to affect risk for AD+P and AD or schizophrenia. These findings provide the first unbiased identification of the association of psychosis in AD with common genetic variation and provide insights into its genetic architecture.
Published: 2020
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4. Transcriptome alterations are enriched for synapse-associated genes in the striatum of subjects with obsessive-compulsive disorder

Author: Bernie Devlin, David A. Lewis, Susanne E. Ahmari, Brittany L Chamberlain, Jiebiao Wang, Sara A Springer, Lora McClain, Sean C. Piantadosi, and Lambertus Klei
Subjects: Obsessive-Compulsive Disorder, Caudate nucleus, Pathogenesis, Striatum, Biology, Nucleus accumbens, Molecular neuroscience, Medium spiny neuron, behavioral disciplines and activities, Article, lcsh:RC321-571, Synapse, Cellular and Molecular Neuroscience, Excitatory synapse, mental disorders, Humans, Gray Matter, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Biological Psychiatry, Magnetic Resonance Imaging, Corpus Striatum, Psychiatry and Mental health, Synapses, Orbitofrontal cortex, Synaptic signaling, Transcriptome, Psychiatric disorders, Neuroscience
Abstract: BackgroundObsessive compulsive disorder (OCD) is a chronic and severe psychiatric disorder for which effective treatment options are limited. Structural and functional neuroimaging studies have consistently implicated the orbitofrontal cortex (OFC) and striatum in the pathophysiology of the disorder. Recent genetic evidence points to involvement of components of the excitatory synapse in the etiology of OCD. However, the transcriptional alterations that could link genetic risk to known structural and functional abnormalities remain mostly unknown.MethodsTo assess potential transcriptional changes in the OFC and two striatal regions (caudate nucleus and nucleus accumbens) of OCD subjects relative to unaffected comparison subjects, we sequenced messenger RNA transcripts from these brain regions.ResultsIn a joint analysis of all three regions, 904 transcripts were differentially expressed between 7 OCD versus 8 unaffected comparison subjects. Region-specific analyses highlight a smaller number of differences, which concentrate in caudate and nucleus accumbens. Pathway analyses of the 904 differentially expressed transcripts showed enrichment for genes involved in synaptic signaling, with these synapse-associated genes displaying lower expression in OCD subjects relative to unaffected comparison subjects. Finally, we estimate that cell type fractions of medium spiny neurons are lower whereas vascular cells and astrocyte fractions are higher in tissue of OCD subjects.ConclusionsTogether, these data provide the first unbiased examination of differentially expressed transcripts in both OFC and striatum of OCD subjects. These transcripts encode synaptic proteins more often than expected by chance, and thus implicate the synapse as a vulnerable molecular compartment for OCD.
Published: 2020
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5. An interactome perturbation framework prioritizes damaging missense mutations for developmental disorders

Author: Bernie Devlin, Jiebiao Wang, Siwei Chen, Kathryn Roeder, Yuan Liu, Haiyuan Yu, Robert Fragoza, and Lambertus Klei
Subjects: Male, 0301 basic medicine, Proband, Autism Spectrum Disorder, Developmental Disabilities, Mutation, Missense, Functional impact, Biology, Interactome, Article, 03 medical and health sciences, Human interactome, Genetics, medicine, Humans, Missense mutation, Genetic Predisposition to Disease, Autistic Disorder, Child, Gene, Integrated approach, medicine.disease, 030104 developmental biology, Autism, Female
Abstract: Identifying disease-associated missense mutations remains a challenge, especially in large-scale sequencing studies. Here we establish an experimentally and computationally integrated approach to investigate the functional impact of missense mutations in the context of the human interactome network and test our approach by analyzing ~2,000 de novo missense mutations found in autism subjects and their unaffected siblings. Interaction-disrupting de novo missense mutations are more common in autism probands, principally affect hub proteins, and disrupt a significantly higher fraction of hub interactions than in unaffected siblings. Moreover, they tend to disrupt interactions involving genes previously implicated in autism, providing complementary evidence that strengthens previously identified associations and enhances the discovery of new ones. Importantly, by analyzing de novo missense mutation data from six disorders, we demonstrate that our interactome perturbation approach offers a generalizable framework for identifying and prioritizing missense mutations that contribute to the risk of human disease.
Published: 2018
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6. Heritable Variation, With Little or No Maternal Effect, Accounts for Recurrence Risk to Autism Spectrum Disorder in Sweden

Author: Benjamin Hon Kei Yip, Kathryn Roeder, Bernie Devlin, Yudi Pawitan, Lambertus Klei, Sven Sandin, Behrang Mahjani, Abraham Reichenberg, Dan Bai, Joseph D. Buxbaum, Christina M. Hultman, and Dorothy E. Grice
Subjects: Male, 0301 basic medicine, medicine.medical_specialty, Adolescent, Autism Spectrum Disorder, Epidemiology, Autism, Population, Mothers, Environment, Population-based, Article, Cohort Studies, Heritability, 03 medical and health sciences, 0302 clinical medicine, Genetics, medicine, Humans, Genetic Predisposition to Disease, Spectrum disorder, Registries, Sibling, Child, Psychiatry, education, Biological Psychiatry, Pervasive developmental disorder not otherwise specified, Sweden, education.field_of_study, Maternal effect, medicine.disease, 3. Good health, 030104 developmental biology, Autism spectrum disorder, Female, Psychology, 030217 neurology & neurosurgery, Demography
Abstract: Background Autism spectrum disorder (ASD) has both genetic and environmental origins, including potentially maternal effects. Maternal effects describe the association of one or more maternal phenotypes with liability to ASD in progeny that are independent of maternally transmitted risk alleles. While maternal effects could play an important role, consistent with association to maternal traits such as immune status, no study has estimated maternal, additive genetic, and environmental effects in ASD. Methods Using a population-based sample consisting of all children born in Sweden from 1998 to 2007 and their relatives, we fitted statistical models to family data to estimate the variance in ASD liability originating from maternal, additive genetic, and shared environmental effects. We calculated sibling and cousin family recurrence risk ratio as a direct measure of familial, genetic, and environmental risk factors and repeated the calculations on diagnostic subgroups, specifically autistic disorder (AD) and spectrum disorder (SD), which included Asperger’s syndrome and/or pervasive developmental disorder not otherwise specified. Results The sample consisted of 776,212 children of whom 11,231 had a diagnosis of ASD: 4554 with AD, 6677 with SD. We found support for large additive genetic contribution to liability; heritability (95% confidence interval [CI]) was estimated to 84.8% (95% CI: 73.1–87.3) for ASD, 79.6% (95% CI: 61.2–85.1) for AD, and 76.4% (95% CI: 63.0–82.5) for SD. Conclusions There was modest, if any, contribution of maternal effects to liability for ASD, including subtypes AD and SD, and there was no support for shared environmental effects. These results show liability to ASD arises largely from additive genetic variation.
Published: 2018
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7. Joint evaluation of serum C-Reactive Protein levels and polygenic risk scores as risk factors for schizophrenia

Author: Lambertus Klei, Jennie G. Pouget, Bernie Devlin, Robert H. Yolken, Vishwajit L. Nimgaonkar, Joel Wood, Faith Dickerson, Kodavali V. Chowdari, and Colm O'Dushlaine
Subjects: Adult, Male, Multifactorial Inheritance, medicine.medical_specialty, Psychosis, Genome-wide association study, Logistic regression, Article, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, Humans, Medicine, SNP, Genetic Predisposition to Disease, Biological Psychiatry, Genetic association, biology, business.industry, C-reactive protein, Odds ratio, Middle Aged, medicine.disease, Confidence interval, 030227 psychiatry, Psychiatry and Mental health, C-Reactive Protein, Psychotic Disorders, Case-Control Studies, Schizophrenia, biology.protein, Female, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Several studies have indicated infectious and immune-related abnormalities in schizophrenia (Scz), including elevated serum C-reactive protein (CRP) - a well-known proxy for infections/immune abnormalities. A portion of the genetic risk for Scz can be estimated using the polygenic risk score (PGRS). It is not known whether there is an interaction in the risks traceable to CRP and PGRS. Patients with Scz and individuals without psychosis were evaluated systematically using DSM IV criteria (N=794, N=446, respectively). To estimate risk for Scz attributable to CRP and PGRS, serum from these participants was assayed for CRP levels using enzyme linked immunosorbent assays. PGRS was estimated from common DNA polymorphisms associated with Scz from genome wide association studies. CRP level and PGRS were not significantly correlated. Using a generalized linear logistic model, case/control status was evaluated in relation to the following predictors: CRP, PGRS, and demographic variables. CRP and PGRS were individually associated with case status; CRP: odds ratio (OR) 1.27, 95% confidence intervals (95% CI) 1.12, 1.43; p = 0.0001; PGRS: OR 1.66, 95% CI 1.47, 1.89; p = 1.28 ×10-15. There were no significant interactions between PGRS and CRP for predicting Scz versus control status.
Published: 2018
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8. Maternal Effects as Causes of Risk for Obsessive-Compulsive Disorder

Author: Bernie Devlin, Behrang Mahjani, Henrik Larsson, Dorothy E. Grice, Christina M. Hultman, Lambertus Klei, Sven Sandin, and Joseph D. Buxbaum
Subjects: 0301 basic medicine, Obsessive-Compulsive Disorder, Offspring, behavioral disciplines and activities, Generalized linear mixed model, Article, 03 medical and health sciences, 0302 clinical medicine, Genetic variation, mental disorders, Credible interval, Medicine, Additive genetic effects, Humans, Family, Registries, Biological Psychiatry, Sweden, business.industry, Maternal effect, Heritability, 030104 developmental biology, Population study, Maternal Inheritance, business, 030217 neurology & neurosurgery, Demography
Abstract: Background While genetic variation has a known impact on the risk for obsessive-compulsive disorder (OCD), there is also evidence that there are maternal components to this risk. Here, we partitioned sources of variation, including direct genetic and maternal effects, on risk for OCD. Methods The study population consisted of 822,843 individuals from the Swedish Medical Birth Register, born in Sweden between January 1, 1982, and December 31, 1990, and followed for a diagnosis of OCD through December 31, 2013. Diagnostic information about OCD was obtained using the Swedish National Patient Register. Results A total of 7184 individuals in the birth cohort (0.87%) were diagnosed with OCD. After exploring various generalized linear mixed models to fit the diagnostic data, genetic maternal effects accounted for 7.6% (95% credible interval: 6.9%–8.3%) of the total variance in risk for OCD for the best model, and direct additive genetics accounted for 35% (95% credible interval: 32.3%–36.9%). These findings were robust under alternative models. Conclusions Our results establish genetic maternal effects as influencing risk for OCD in offspring. We also show that additive genetic effects in OCD are overestimated when maternal effects are not modeled.
Published: 2020

9. 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
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10. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

Author: Laura M. Thornton, Paul Lichtenstein, Verneri Anttila, Diego Albani, Josep Antoni Ramos-Quiroga, Roger A.H. Adan, Monika Schlögelhofer, Stephen Sanders, Enrique Castelao, Klaus Berger, Nina Dalkner, Urs Heilbronner, Engilbert Sigurdsson, Pablo Mir, Fuquan Zhang, James T.R. Walters, Patrick F. Sullivan, Fragiskos Gonidakis, F. Kyle Satterstrom, Sara Marsal, Per Hoffmann, Amy Perry, Valentina Ciullo, Beate Herpertz-Dahlmann, Catharina Lavebratt, Kieran C. Murphy, Tammy Hedderly, Hyun Ju Hong, Evald Saemundsen, Sascha B. Fischer, Hailiang Huang, Andrew D. Grotzinger, Nienke Vulink, Murray B. Stein, Mark A. Frye, Laura J. Scott, David Curtis, Todd Lencz, Janiece E. DeSocio, Richard A. Belliveau, Eduard Vieta, Andrea Dietrich, Wade H. Berrettini, Kenneth S. Kendler, Marquis P. Vawter, Paul S. Nestadt, Michael E. Talkowski, Manuel Mattheisen, Ingrid Agartz, Elisa Docampo, Bernhard T. Baune, Stefan Ehrlich, Jolanta Lissowska, Felecia Cerrato, Terje Nærland, Robin M. Murray, Jennifer Reichert, Annette M. Hartmann, Hannelore Ehrenreich, Howard J. Edenberg, Katherine A. Halmi, Qingqin S. Li, Peristera Paschou, Marie Bækvad-Hansen, Esther Walton, Alessio Maria Monteleone, Ted Reichborn-Kjennerud, Frank Bellivier, Jungeun Song, D. Blake Woodside, Young Shin Kim, Jochen Seitz, Jacques Pantel, Palmiero Monteleone, Erika L. Nurmi, Rodney J. Scott, Kang Sim, Ekaterina A. Khramtsova, Udo Dannlowski, Rolf Adolfsson, Danielle Posthuma, Melissa J. Green, Laura Ibanez-Gomez, Jakob Grove, Elvira Bramon, Gregory L. Hanna, Cynthia M. Bulik, Yiran Guo, Stephan Ripke, Mary M. Robertson, Harald N. Aschauer, Adebayo Anjorin, Joanna Martin, Bertram Müller-Myhsok, Deborah Kaminská, Jose Guzman-Parra, Benedetta Nacmias, Erik G. Jönsson, Jonathan R. I. Coleman, Douglas F. Levinson, Hamdi Mbarek, Gun Peggy Knudsen, Karin Egberts, Mette Nyegaard, Patrik K. E. Magnusson, Mark Adams, Douglas Blackwood, Elisabeth B. Binder, Marcus Ising, Anna R. Docherty, Jim van Os, Nese Direk, Lina Martinsson, Maria Arranz, Christel M. Middeldorp, Stefan Kloiber, Sintia Iole Belangero, Eske M. Derks, Ingrid Melle, Erlend Bøen, Jan Haavik, Federica Piras, Unna N. Danner, Anil K. Malhotra, Gerome Breen, Stephen V. Faraone, Amanda B Zheutlin, Timothy Poterba, Stephan Ruhrmann, Inge Joa, Ulrik Fredrik Malt, Sarah E. Bergen, Federica Tozzi, Lauren A. Weiss, Hana Papezova, Dominic Holland, Elliot S. Gershon, Jaakko Kaprio, Merete Nordentoft, Scott D. Gordon, Christopher Pittenger, Keun-Ah Cheon, Jennifer Jordan, Philip Gorwood, Myrna M. Weissman, Preben Bo Mortensen, Melissa A. Munn-Chernoff, Isobel Heyman, Eun-Young Shin, Christie L. Burton, Katherine Gordon-Smith, Sietske G. Helder, Peter Nagy, Till F. M. Andlauer, Yunpeng Wang, Young Key Kim, Kate Langley, Søren Dalsgaard, Richard Delorme, Torbjørn Elvsåshagen, Bennett L. Leventhal, Giovanni Gambaro, Christos Androutsos, Jennifer Tübing, Marion Roberts, Annelie Nordin Adolfsson, Hakon Hakonarson, Dorothy E. Grice, Vaughan J. Carr, Konstantinos Tziouvas, Stephanie Zerwas, Cathy L. Barr, Michael Conlon O'Donovan, Per Qvist, Beate St Pourcain, Samuel Kuperman, Leila Karhunen, Jack Samuels, Markus M. Nöthen, Martien J H Kas, Alfonso Tortorella, Mikael Landén, Jennifer Crosbie, Marco A. Grados, Joanna M. Biernacka, Paul D. Arnold, Irene A. Malaty, Jurjen J. Luykx, Nicholas Bass, Naomi R. Wray, Catharina A. Hartman, Christina M. Hultman, Michael S. Okun, Brandon Wormley, Michael Bauer, Daniel J. Smith, Ian Jones, Kathryn Roeder, Brien P. Riley, Caroline M. Nievergelt, Katrin Gade, Sarah Kittel-Schneider, Roy H. Perlis, James R. Mitchell, Ziarih Hawi, James Lee, Liz Forty, William E. Bunney, Thomas Damm Als, Catherine Schaefer, Digby Quested, Matteo Cassina, Anna C. Koller, Patrick Turley, Agnes A. Steixner, Anu Raevuori, Assen Jablensky, Peter Holmans, Dong-Ho Song, S. Evelyn Stewart, Jan K. Buitelaar, Fernando S. Goes, Alexander Münchau, Ayman H. Fanous, Nicolas Ramoz, James B. Potash, Monica Gratacos Mayora, Tobias Banaschewski, Céline S. Reinbold, Renata Rizzo, Arianna Di Florio, Lenka Foretova, Gianfranco Spalletta, Aarno Palotie, Eleftheria Zeggini, Lawrence W. Brown, Julie K. O'Toole, Lynn E. DeLisi, Ulrich Schall, Mary Roberson, Barbara J. Coffey, Bryan J. Mowry, Murray J. Cairns, Dan J. Stein, Glyn Lewis, Marta Ribasés, C. Robert Cloninger, Bettina Konte, John B. Vincent, Duncan S. Palmer, Radhika Kandaswamy, Christine Ladd-Acosta, Lars Alfredsson, Frank Visscher, Ulrike Schmidt, Aiden Corvin, Susan L. Santangelo, Brenda W.J.H. Penninx, David J. Porteous, Tetsuya Ando, Arne E. Vaaler, Bru Cormand, Laura Carlberg, Claire Churchhouse, Manfred Stuhrmann, Niamh Mullins, Christine Søholm Hansen, Cathy L. Budman, Hartmut Imgart, Dan E. Arking, James J. McGough, Michael Gill, Christel Depienne, Roland Burghardt, Antonio Julià, Anders M. Dale, Sven Sandin, Katharina Domschke, Maria Grigoroiu-Serbanescu, Susana Jiménez-Murcia, Marianne Giørtz Pedersen, Zsanett Tarnok, Gisli Baldursson, Michele T. Pato, David M. Hougaard, Thorgeir E. Thorgeirsson, Katharina Bey, Kerstin J. Plessen, Margaret A. Richter, Ole A. Andreassen, Claudine Laurent-Levinson, Leonid Padyukov, Jacques Mallet, Daniela Degortes, John R. Kelsoe, Robert D. Levitan, Andreas Reif, Chaim Huyser, Derek W. Morris, Sina Wanderer, William Byerley, Edna Grünblatt, E.J.C. de Geus, Hyejung Won, Josephine Elia, Rudolf Uher, Jay A. Tischfield, Andreas Karwautz, Gustavo Turecki, Pieter J. Hoekstra, Dorret I. Boomsma, Jacob Rosenthal, Daniele Cusi, Michael C. Neale, Sara Mostafavi, Gwyneth Zai, F. Anthony O'Neill, Gary Donohoe, Karola Rehnström, Harry Brandt, Helena Gaspar, Francis J. McMahon, H-Erich Wichmann, Andrew W. Bergen, Giovanni Coppola, Lea K. Davis, Lenka Slachtova, Olav B. Smeland, Erin C. Dunn, Nicholas G. Martin, Allan L. Naarden, Jo Knight, Cristina Sánchez-Mora, Masashi Ikeda, Lorraine Southam, Sandro Sorbi, Barbara Franke, Martin Schalling, Russell Schachar, Yen-Chen Anne Feng, Kirsten R. Müller-Vahl, André Scherag, Zhaozhong Zhu, Eric A. Storch, Páll Magnússon, David Cohen, Olafur O Gudmundsson, Harvey S. Singer, Brian Kelly, Jonas Bybjerg-Grauholm, Blanca Garcia-Delgar, Thomas Hansen, Carmel M. Loughland, Christine Lochner, Stacy Steinberg, Martin Woods, Jorge A. Quiroz, Raquel Rabionet, Alden Y. Huang, Janice M. Fullerton, María Soler Artigas, Hans J. Grabe, Philip Asherson, Margit Burmeister, Alicia R. Martin, Martin A. Kennedy, Janet Treasure, Anders D. Børglum, Eva C. Schulte, Andreas Hartmann, Frans Henskens, Youl-Ri Kim, Jens Treutlein, Joanna Hauser, Manfred M. Fichter, Damiaan Denys, Ann E. Pulver, Kelly L. 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B., Brandt, H., Burghardt, R., Carlberg, L., Cassina, M., Clementi, M., Courtet, P., Crawford, S., Crow, S., Crowley, J. J., Danner, U. N., Davis, O. S. P., Degortes, D., Desocio, J. E., Dick, D. M., Dina, C., Docampo, E., Egberts, K., Ehrlich, S., Espeseth, T., Fernandez-Aranda, F., Fichter, M. M., Foretova, L., Forzan, M., Gambaro, G., Giegling, I., Gonidakis, F., Gorwood, P., Mayora, M. G., Guo, Y., Halmi, K. A., Hatzikotoulas, K., Hebebrand, J., Helder, S. G., Herpertz-Dahlmann, B., Herzog, W., Hinney, A., Imgart, H., Jimenez-Murcia, S., Johnson, C., Jordan, J., Julia, A., Kaminska, D., Karhunen, L., Karwautz, A., Kas, M. J. H., Kaye, W. H., Kennedy, M. A., Kim, Y. -R., Klareskog, L., Klump, K. L., Knudsen, G. P. S., Landen, M., Le Hellard, S., Levitan, R. D., Li, D., Lichtenstein, P., Maj, M., Marsal, S., Mcdevitt, S., Mitchell, J., Monteleone, P., Monteleone, A. M., Munn-Chernoff, M. A., Nacmias, B., Navratilova, M., O'Toole, J. K., Padyukov, L., Pantel, J., Papezova, H., Rabionet, R., Raevuori, A., Ramoz, N., Reichborn-Kjennerud, T., Ricca, V., Roberts, M., Rujescu, D., Rybakowski, F., Scherag, A., Schmidt, U., Seitz, J., Slachtova, L., Slof-Op't Landt, M. C. T., Slopien, A., Sorbi, S., Southam, L., Strober, M., Tortorella, A., Tozzi, F., Treasure, J., Tziouvas, K., van Elburg, A. A., Wade, T. D., Wagner, G., Walton, E., Watson, H. J., Wichmann, H. -E., Woodside, D. B., Zeggini, E., Zerwas, S., Zipfel, S., Adams, M. J., Andlauer, T. F. M., Berger, K., Binder, E. B., Boomsma, D. I., Castelao, E., Colodro-Conde, L., Direk, N., Docherty, A. R., Domenici, E., Domschke, K., Dunn, E. C., Foo, J. C., D, e. Geus E. J. C., Grabe, H. J., Hamilton, S. P., Horn, C., Hottenga, J. -J., Howard, D., Ising, M., Kloiber, S., Levinson, D. F., Lewis, G., Magnusson, P. K. E., Mbarek, H., Middeldorp, C. M., Mostafavi, S., Nyholt, D. R., Penninx, B. W., Peterson, R. E., Pistis, G., Porteous, D. J., Preisig, M., Quiroz, J. A., Schaefer, C., Schulte, E. C., Shi, J., Smith, D. J., Thomson, P. A., Tiemeier, H., Uher, R., van der Auwera, S., Weissman, M. M., Alexander, M., Begemann, M., Bramon, E., Buccola, N. G., Cairns, M. J., Campion, D., Carr, V. J., Cloninger, C. R., Cohen, D., Collier, D. A., Corvin, A., Delisi, L. E., Donohoe, G., Dudbridge, F., Duan, J., Freedman, R., Gejman, P. V., Golimbet, V., Godard, S., Ehrenreich, H., Hartmann, A. M., Henskens, F. A., Ikeda, M., Iwata, N., Jablensky, A. V., Joa, I., Jonsson, E. G., Kelly, B. J., Knight, J., Konte, B., Laurent-Levinson, C., Lee, J., Lencz, T., Lerer, B., Loughland, C. M., Malhotra, A. K., Mallet, J., Mcdonald, C., Mitjans, M., Mowry, B. J., Murphy, K. C., Murray, R. M., O'Neill, F. A., Oh, S. -Y., Palotie, A., Pantelis, C., Pulver, A. E., Petryshen, T. L., Quested, D. J., Riley, B., Sanders, A. R., Schall, U., Schwab, S. G., Scott, R. J., Sham, P. C., Silverman, J. M., Sim, K., Steixner, A. A., Tooney, P. A., van Os, J., Vawter, M. P., Walsh, D., Weiser, M., Wildenauer, D. B., Williams, N. M., Wormley, B. K., Zhang, F., Androutsos, C., Arnold, P. D., Barr, C. L., Barta, C., Bey, K., Bienvenu, O. J., Black, D. W., Brown, L. W., Budman, C., Cath, D., Cheon, K. -A., Ciullo, V., Coffey, B. J., Cusi, D., Davis, L. K., Denys, D., Depienne, C., Dietrich, A., Eapen, V., Falkai, P., Fernandez, T. V., Garcia-Delgar, B., Geller, D. A., Gilbert, D. L., Grados, M. A., Greenberg, E., Grunblatt, E., Hagstrom, J., Hanna, G. L., Hartmann, A., Hedderly, T., Heiman, G. A., Heyman, I., Hong, H. J., Huang, A., Huyser, C., Ibanez-Gomez, L., Khramtsova, E. A., Kim, Y. K., Kim, Y. -S., King, R. A., Koh, Y. -J., Konstantinidis, A., Kook, S., Kuperman, S., Leventhal, B. L., Lochner, C., Ludolph, A. G., Madruga-Garrido, M., Malaty, I., Maras, A., Mccracken, J. T., Meijer, I. A., Mir, P., Morer, A., Muller-Vahl, K. R., Munchau, A., Murphy, T. L., Naarden, A., Nagy, P., Nestadt, G., Nestadt, P. S., Nicolini, H., Nurmi, E. L., Okun, M. S., Paschou, P., Piras, F., Pittenger, C., Plessen, K. J., Richter, M. A., Rizzo, R., Robertson, M., Roessner, V., Ruhrmann, S., Samuels, J. F., Sandor, P., Schlogelhofer, M., Shin, E. -Y., Singer, H., Song, D. -H., Song, J., Spalletta, G., Stein, D. J., Stewart, S. E., Storch, E. A., Stranger, B., Stuhrmann, M., Tarnok, Z., Tischfield, J. A., Tubing, J., Visscher, F., Vulink, N., Wagner, M., Walitza, S., Wanderer, S., Woods, M., Worbe, Y., Zai, G., Zinner, S. H., Sullivan, P. F., Franke, B., Daly, M. J., Bulik, C. M., Mcintosh, A. M., O'Donovan, M. C., Zheutlin, A., Andreassen, O. A., Borglum, A. D., Breen, G., Edenberg, H. J., Fanous, A. H., Faraone, S. V., Gelernter, J., Mathews, C. A., Mattheisen, M., Mitchell, K. S., Neale, M. C., Nurnberger, J. I., Ripke, S., Santangelo, S. L., Scharf, J. M., Stein, M. B., Thornton, L. M., Walters, J. T. R., Wray, N. R., Geschwind, D. H., Neale, B. M., Kendler, K. S., and Smoller, J. W.
Subjects: Netherlands Twin Register (NTR), cross-disorder genetics, Medizin, Genome-wide association study, Tourette syndrome, functional genomics, gene expression, genetic architecture, genetic correlation, GWAS, neurodevelopment, pleiotropy, psychiatric disorders, Psychiatric genetics, 0302 clinical medicine, Pleiotropy, functional genomic, WIDE ASSOCIATION, cross-disorder genetic, 0303 health sciences, Mental Disorders, Genetic Pleiotropy, HUMAN BRAIN, INSIGHTS, Autism spectrum disorder, Schizophrenia, DISEASES, GENETIC CORRELATIONS, medicine.medical_specialty, Neurogenesis, Quantitative Trait Loci, BF, Biology, GENOTYPE IMPUTATION, Psychiatric geneticscross-disorder geneticspsychiatric disorderspleiotropyneurodevelopmentGWASgenetic correlationgene expressiongenetic architecturefunctional genomics, Article, General Biochemistry, Genetics and Molecular Biology, psychiatric disorder, 03 medical and health sciences, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, TRANSCRIPTOME, Psychiatry, 030304 developmental biology, Gwas, Psychiatric Genetics, Cross-disorder Genetics, Functional Genomics, Gene Expression, Genetic Architecture, Genetic Correlation, Neurodevelopment, Psychiatric Disorders, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], IDENTIFICATION, MUTATIONS, medicine.disease, Genetic architecture, DEMETHYLASE, RC0321, 1182 Biochemistry, cell and molecular biology, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Genetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting substantial pleiotropy of contributing loci. However, the nature and mechanisms of these pleiotropic effects remain unclear. We performed analyses of 232,964 cases and 494,162 controls from genome-wide studies of anorexia nervosa, attention-deficit/hyper-activity disorder, autism spectrum disorder, bipolar disorder, major depression, obsessive-compulsive disorder, schizophrenia, and Tourette syndrome. Genetic correlation analyses revealed a meaningful structure within the eight disorders, identifying three groups of inter-related disorders. Meta-analysis across these eight disorders detected 109 loci associated with at least two psychiatric disorders, including 23 loci with pleiotropic effects on four or more disorders and 11 loci with antagonistic effects on multiple disorders. The pleiotropic loci are located within genes that show heightened expression in the brain throughout the lifespan, beginning prenatally in the second trimester, and play prominent roles in neurodevelopmental processes. These findings have important implications for psychiatric nosology, drug development, and risk prediction.
Published: 2019
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11. Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder

Author: A. Jeremy Willsey, Lindsay Liang, Aaron R. Quinlan, Clif Duhn, Bernie Devlin, Benjamin Currall, Stephen Sanders, Gabor T. Marth, Xuefang Zhao, Kathryn Roeder, Shan Dong, Donna M. Werling, Lingxue Zhu, Mark J. Daly, Joon Yong An, Claudia Dastmalchi, Lambertus Klei, Michael C. Gilson, Harrison Brand, Young Shin Kim, Matthew W. State, Eirene Markenscoff-Papadimitriou, Sirisha Pochareddy, Benjamin M. Neale, Kevin Lin, John L.R. Rubenstein, Nenad Sestan, Harold Z. Wang, Michael E. Talkowski, Jeanselle Dea, Ryan L. Collins, Grace Schwartz, Hilary Coon, Joseph D. Buxbaum, and Nadav Ahituv
Subjects: 0301 basic medicine, Risk, General Science & Technology, Autism Spectrum Disorder, Intellectual and Developmental Disabilities (IDD), Autism, DNA Mutational Analysis, Context (language use), Biology, medicine.disease_cause, Genome, Article, Conserved sequence, Promoter Regions, 03 medical and health sciences, Genetic, Genetic variation, Genetics, medicine, 2.1 Biological and endogenous factors, Humans, Aetiology, Promoter Regions, Genetic, Conserved Sequence, Pediatric, Mutation, Multidisciplinary, Binding Sites, Human Genome, Genetic Variation, medicine.disease, Brain Disorders, Pedigree, DNA binding site, Mental Health, 030104 developmental biology, Autism spectrum disorder, Genetic Loci, Biotechnology, Transcription Factors
Abstract: INTRODUCTION The DNA of protein-coding genes is transcribed into mRNA, which is translated into proteins. The “coding genome” describes the DNA that contains the information to make these proteins and represents ~1.5% of the human genome. Newly arising de novo mutations (variants observed in a child but not in either parent) in the coding genome contribute to numerous childhood developmental disorders, including autism spectrum disorder (ASD). Discovery of these effects is aided by the triplet code that enables the functional impact of many mutations to be readily deciphered. In contrast, the “noncoding genome” covers the remaining ~98.5% and includes elements that regulate when, where, and to what degree protein-coding genes are transcribed. Understanding this noncoding sequence could provide insights into human disorders and refined control of emerging genetic therapies. Yet little is known about the role of mutations in noncoding regions, including whether they contribute to childhood developmental disorders, which noncoding elements are most vulnerable to disruption, and the manner in which information is encoded in the noncoding genome. RATIONALE Whole-genome sequencing (WGS) provides the opportunity to identify the majority of genetic variation in each individual. By performing WGS on 1902 quartet families including a child affected with ASD, one unaffected sibling control, and their parents, we identified ~67 de novo mutations across each child’s genome. To characterize the functional role of these mutations, we integrated multiple datasets relating to gene function, genes implicated in neurodevelopmental disorders, conservation across species, and epigenetic markers, thereby combinatorially defining 55,143 categories. The scope of the problem—testing for an excess of de novo mutations in cases relative to controls for each category—is challenging because there are more categories than families. RESULTS Comparing cases to controls, we observed an excess of de novo mutations in cases in individual categories in the coding genome but not in the noncoding genome. To overcome the challenge of detecting noncoding association, we used machine learning tools to develop a de novo risk score to look for an excess of de novo mutations across multiple categories. This score demonstrated a contribution to ASD risk from coding mutations and a weaker, but significant, contribution from noncoding mutations. This noncoding signal was driven by mutations in the promoter region, defined as the 2000 nucleotides upstream of the transcription start site (TSS) where mRNA synthesis starts. The strongest promoter signals were defined by conservation across species and transcription factor binding sites. Well-defined promoter elements (e.g., TATA-box) are usually observed within 80 nucleotides of the TSS; however, the strongest ASD association was observed distally, 750 to 2000 nucleotides upstream of the TSS. CONCLUSION We conclude that de novo mutations in the noncoding genome contribute to ASD. The clearest evidence of noncoding ASD association came from mutations at evolutionarily conserved nucleotides in the promoter region. The enrichment for transcription factor binding sites, primarily in the distal promoter, suggests that these mutations may disrupt gene transcription via their interaction with enhancer elements in the promoter region, rather than interfering with transcriptional initiation directly. Promoter regions in autism. De novo mutations from 1902 quartet families are assigned to 55,143 annotation categories, which are each assessed for autism spectrum disorder (ASD) association by comparing mutation counts in cases and sibling controls. A de novo risk score demonstrated a noncoding contribution to ASD driven by promoter mutations, especially at sites conserved across species, in the distal promoter or targeted by transcription factors.
Published: 2018

12. An analytical framework for whole genome sequence association studies and its implications for autism spectrum disorder

Author: Donna M. Werling, Ryan M. Layer, Robert E. Handsaker, Matthew W. State, Carolyn A. Erdman, Tomasz J. Nowakowski, Michael C. Gilson, Stephen Sanders, Arnold R. Kriegstein, Eirene Markenscoff-Papadimitriou, Sirisha Pochareddy, Lambertus Klei, A. Jeremy Willsey, Seva Kashin, Xin He, Harold Z. Wang, Michael E. Talkowski, Shan Dong, Michael F. Walker, Lingxue Zhu, Bernie Devlin, Steven A. McCarroll, Kathryn Roeder, Benjamin Currall, Matthew J. Waterman, Clif Duhn, John L.R. Rubenstein, Joseph D. Buxbaum, Gabor T. Marth, Aaron R. Quinlan, Matthew R. Stone, Louw Smith, Xuefang Zhao, Mark J. Daly, Joon Yong An, Harrison Brand, Joseph T. Glessner, Benjamin M. Neale, Jeffrey D. Mandell, Andrew Farrell, Nenad Sestan, Yuwen Liu, Grace Schwartz, Hilary Coon, Jeanselle Dea, Rachita Yadav, and Ryan L. Collins
Subjects: 0301 basic medicine, Whole genome sequencing, Autism Spectrum Disorder, Genomics, Genome-wide association study, Computational biology, Biology, medicine.disease, Article, Structural variation, 03 medical and health sciences, 030104 developmental biology, Autism spectrum disorder, Multiple comparisons problem, Genetics, medicine, Autism, Humans, Genetic association, Genome-Wide Association Study
Abstract: Genomic association studies of common or rare protein-coding variation have established robust statistical approaches to account for multiple testing. Here we present a comparable framework to evaluate rare and de novo noncoding single-nucleotide variants, insertion/deletions, and all classes of structural variation from whole-genome sequencing (WGS). Integrating genomic annotations at the level of nucleotides, genes, and regulatory regions, we define 51,801 annotation categories. Analyses of 519 autism spectrum disorder families did not identify association with any categories after correction for 4,123 effective tests. Without appropriate correction, biologically plausible associations are observed in both cases and controls. Despite excluding previously identified gene-disrupting mutations, coding regions still exhibited the strongest associations. Thus, in autism, the contribution of de novo noncoding variation is probably modest in comparison to that of de novo coding variants. Robust results from future WGS studies will require large cohorts and comprehensive analytical strategies that consider the substantial multiple-testing burden.
Published: 2018

13. Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci

Author: Eric Fombonne, Stephen Sanders, Rita M. Cantor, Bernie Devlin, Shan Dong, Kathryn Roeder, Catherine Lord, Mack Y. Su, David H. Ledbetter, Arthur P. Goldberg, Vanessa H. Bal, Nicole A. Teran, Eric M. Morrow, Cai Jinlu, James S. Sutcliffe, Michael F. Walker, Jeffrey D. Mandell, Edwin H. Cook, Elise B. Robinson, Mark J. Daly, Kaitlin E. Samocha, Xin He, Christa Lese Martin, Timothy W. Yu, Donna M. Werling, Donna M. Martin, Arthur L. Beaudet, Michael E. Talkowski, Michael T. Murtha, Joseph D. Buxbaum, John F. Keaney, Dorothy E. Grice, A. Ercument Cicek, A. Jeremy Willsey, Somer L. Bishop, Christopher S. Poultney, Lambertus Klei, Matthew W. State, Daniel Moreno-De-Luca, Louw Smith, A. Gulhan Ercan-Sencicek, Shrikant Mane, Tor Solli-Nowlan, Christopher A. Walsh, Daniel H. Geschwind, and Jennifer K. Lowe
Subjects: Male, Gene duplication, Genotype, Autism Spectrum Disorder, Autism, Neuroscience(all), Single-nucleotide polymorphism, Major clinical study, Gene sequence, Biology, Gene mutation, Gene locus, Article, mental disorders, medicine, Humans, Copy-number variation, Protein Interaction Maps, Child, Exome sequencing, Priority journal, Risk assessment, Genetic association, Genetic risk, Genetics, Gene deletion, Copy number variation, General Neuroscience, Gene targeting, Genetic Variation, Genome project, medicine.disease, Synapse, Chromatin, Single nucleotide polymorphism, Gene structure, Intellectual impairment, Gene identification, Autism spectrum disorder, Genetic Loci, Female, Risk factor, Controlled study, Human
Abstract: Analysis of de novo CNVs (dnCNVs) from the full Simons Simplex Collection (SSC) (N = 2,591 families) replicates prior findings of strong association with autism spectrum disorders (ASDs) and confirms six risk loci (1q21.1, 3q29, 7q11.23, 16p11.2, 15q11.2-13, and 22q11.2). The addition of published CNV data from the Autism Genome Project (AGP) and exome sequencing data from the SSC and the Autism Sequencing Consortium (ASC) shows that genes within small de novo deletions, but not within large dnCNVs, significantly overlap the high-effect risk genes identified by sequencing. Alternatively, large dnCNVs are found likely to contain multiple modest-effect risk genes. Overall, we find strong evidence that de novo mutations are associated with ASD apart from the risk for intellectual disability. Extending the transmission and de novo association test (TADA) to include small de novo deletions reveals 71 ASD risk loci, including 6 CNV regions (noted above) and 65 risk genes (FDR ≤ 0.1). Through analysis of de novo mutations in autism spectrum disorder (ASD), Sanders et al. find that small deletions, but not large deletions/duplications, contain one critical gene. Combining CNV and sequencing data, they identify 6 loci and 65 genes associated with ASD.
Published: 2015
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14. Runs of homozygosity, copy number variation, and risk for depression and suicidal behavior in an Arab Bedouin kindred

Author: Abraham Weizman, Jamie Zelazny, Nadine M. Melhem, Sami Hamdan, Bernie Devlin, Amos Frisch, Danuta Wasserman, Elena Michaelovsky, Shawn Wood, Muhammad El-Heib, Miri Carmel, Ilana Farbstein, Alan Apter, Robert E. Ferrell, Lambertus Klei, and David A. Brent
Subjects: 0301 basic medicine, Adult, Male, Adolescent, DNA Copy Number Variations, Runs of Homozygosity, Biology, Article, Suicidal Ideation, 03 medical and health sciences, Consanguinity, Young Adult, 0302 clinical medicine, Risk Factors, Genetics, medicine, Ethnicity, Humans, Genetic Predisposition to Disease, Copy-number variation, Biological Psychiatry, Genetics (clinical), Depression (differential diagnoses), Suicide attempt, Depression, Homozygote, Reproducibility of Results, Odds ratio, Middle Aged, medicine.disease, Confidence interval, Arabs, Pedigree, Psychiatry and Mental health, 030104 developmental biology, Schizophrenia, Female, Inbreeding, 030217 neurology & neurosurgery
Abstract: OBJECTIVES Inbreeding increases the probability of homozygosity of deleterious alleles. Inbreeding and runs of homozygosity (ROH) are associated with an increased risk for disease phenotypes, including schizophrenia and other psychiatric disorders. The effects of inbreeding, ROH, homozygous deletions, and other copy number variations (CNVs) on risk for depression and suicide attempt (SA) were quantified in an Arab Bedouin Kindred. METHODS We carried out genetic analyses of 439 individuals from an Arab kindred with high rates of depression and suicidal behavior. We obtained complete ascertainment of SAs and first-degree relatives of individuals who have attempted or died by suicide. RESULTS We found extensive regions of ROH. On average, 5% of the genome is covered by ROH for these individuals, two-fold higher than ROH rates for individuals from populations of European ancestry. Inbreeding and total length of ROH were not associated with risk for depression or attempt. For CNVs, an increased number of duplications more than 500 kb was associated with an increased risk for attempt (odds ratio: 2.9; P=0.01; 95% confidence interval: 1.3-6.6). Although not significant after correction for multiple testing, the risk for SA appears to increase with copy number for a CNV on chromosome 9p24.1. This possibility is intriguing because the CNV covers GLDC, which encodes glycine dehydrogenase that binds to glycine, a co-agonist at N-methyl-D-aspartate glutamate receptors, and is involved in glutamatergic neurotransmission. CONCLUSION Our findings add to the growing evidence of genetic risk factors that act pleiotropically to increase the risk for several neuropsychiatric disorders, including depression and SA, irrespective of ancestry.
Published: 2017

15. Large-Scale Identification of Common Trait and Disease Variants Affecting Gene Expression

Author: Barbara K. Lipska, Mads E. Hauberg, Pamela Sklar, Hiroyoshi Toyoshiba, Oscar Franzén, Johan Björkegren, Laurent Essioux, Chang-Gyu Hahn, Panos Roussos, Raquel E. Gur, Bernie Devlin, Benjamin A. Logsdon, Timothy J. Vyse, Keisuke Hirai, David L. Morris, Vahram Haroutunian, Wen Zhang, Hardik Shah, Douglas M. Ruderfer, Solveig K. Sieberts, Arno Ruusalepp, Mette A. Peters, Kristen K. Dang, Joseph D. Buxbaum, Menachem Fromer, Thanneer M. Perumal, Milind Mahajan, Enrico Domenici, Lara M. Mangravite, David A. Lewis, Lambertus Klei, Jessica S. Johnson, Eric E. Schadt, and Claudia Giambartolomei
Subjects: 0301 basic medicine, Quantitative Trait Loci, LOCI, Genome-wide association study, Disease, Biology, Article, 03 medical and health sciences, Quantitative Trait, Heritable, Pleiotropy, TARGETS, Mendelian randomization, SCHIZOPHRENIA, Genetics, Humans, GWAS, Gene Regulatory Networks, Genetic Predisposition to Disease, POLYGENIC RISK, Gene, Genetics (clinical), Genetic association, EQTL, Correction, Genetic Variation, Genetic Pleiotropy, ASSOCIATION, Genetic architecture, 030104 developmental biology, Gene Expression Regulation, Expression quantitative trait loci, Schizophrenia, Educational Status, Genome-Wide Association Study
Abstract: Genome-wide association studies (GWASs) have identified a multitude of genetic loci involved with traits and diseases. However, it is often unclear which genes are affected in such loci and whether the associated genetic variants lead to increased or decreased gene function. To mitigate this, we integrated associations of common genetic variants in 57 GWASs with 24 studies of expression quantitative trait loci (eQTLs) from a broad range of tissues by using a Mendelian randomization approach. We discovered a total of 3,484 instances of gene-trait-associated changes in expression at a false-discovery rate
Published: 2017
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16. Synaptic, transcriptional, and chromatin genes disrupted in autism

Author: Christine Stevens, Michael E. Zwick, Deepthi Rajagopalan, Mara Parellada, David J. Cutler, Li-San Wang, Norio Ozaki, Jinlu Cai, Lauren A. Weiss, Patricia Jiménez González, Jeffrey C. Barrett, Silvia De Rubeis, Helena Kilpinen, Alexander Kolevzon, Timothy W. Yu, Michael John Owen, Geraldine Dawson, Martin Schulte-Rüther, Jeremy R. Parr, Aarno Palotie, Eftichia Duketis, Lambertus Klei, Irene Lee, Bridget A. Fernandez, Aniko Sabo, Matthew W. State, Sarah Curran, Lucy Crooks, Chad M. Schafer, Avi Ma'ayan, Stephen Sanders, Evan T. Geller, Monica Biscaldi, Stephen W. Scherer, Christopher S. Poultney, Mark J. Daly, Patrick Bolton, Kaija Puura, Maria H. Chahrour, Michael Gill, Li Liu, Louise Gallagher, Ryan K. C. Yuen, Jack A. Kosmicki, Abraham Reichenberg, Christine M. Freitag, Shaun Purcell, Andreas G. Chiocchetti, Peter Szatmari, Sabine M. Klauck, Shih-Chen Fu, Christian R. Marshall, Joseph D. Buxbaum, Tarjinder Singh, Bernie Devlin, Chiao-Feng Lin, A. Ercument Cicek, Karola Rehnström, Pamela Sklar, Otto Valladares, Michael Sachse, Terho Lehtimäki, R. Sean Hill, Arthur P. Goldberg, A. Jeremy Willsey, Jing Lei, Branko Aleksic, Menachem Fromer, Yan Kou, Jessica M. Brownfeld, Annette Voran, Kathryn Roeder, Gerard D. Schellenberg, David Skuse, Thomas Lehner, Hilary Coon, Benjamin M. Neale, Iuliana Ionita-Laza, Kristiina Tammimies, Stephen J. Guter, Christopher A. Walsh, James S. Sutcliffe, Xin-Xin He, Alison L. McInnes, Emily L. Crawford, Nicholas G. Campbell, Angel Carracedo, R. Susan Walker, Edwin H. Cook, Kaitlin E. Samocha, and Christina M. Hultman
Subjects: Male, Transcription, Genetic, Molecular Sequence Data, Mutation, Missense, SYNGAP1, Article, 03 medical and health sciences, 0302 clinical medicine, Transcriptional regulation, Odds Ratio, Humans, Exome, Genetic Predisposition to Disease, Amino Acid Sequence, Gene, Exome sequencing, Germ-Line Mutation, 030304 developmental biology, Regulation of gene expression, Genetics, 0303 health sciences, Multidisciplinary, biology, Chromatin Assembly and Disassembly, Chromatin, Histone, Child Development Disorders, Pervasive, Mutation, Synapses, biology.protein, Female, Nerve Net, 030217 neurology & neurosurgery
Abstract: The genetic architecture of autism spectrum disorder involves the interplay of common and rare variants and their impact on hundreds of genes. Using exome sequencing, here we show that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate (FDR) < 0.05, plus a set of 107 autosomal genes strongly enriched for those likely to affect risk (FDR < 0.30). These 107 genes, which show unusual evolutionary constraint against mutations, incur de novo loss-of-function mutations in over 5% of autistic subjects. Many of the genes implicated encode proteins for synaptic formation, transcriptional regulation and chromatin-remodelling pathways. These include voltage-gated ion channels regulating the propagation of action potentials, pacemaking and excitability-transcription coupling, as well as histone-modifying enzymes and chromatin remodellers-most prominently those that mediate post-translational lysine methylation/demethylation modifications of histones.
Published: 2014

17. Most genetic risk for autism resides with common variation

Author: Jennifer Reichert, Dina Manaa, Ann B. Lee, Stephan Ripke, Kathryn Roeder, Stephen Sanders, Pamela Sklar, Yudi Pawitan, Arthur P. Goldberg, Lambertus Klei, Corneliu A. Bodea, Christina M. Hultman, Bernie Devlin, Trent Gaugler, Joseph D. Buxbaum, Abraham Reichenberg, Sven Sandin, Milind Mahajan, and Oscar Svantesson
Subjects: Genetics, Extramural, Biology, Heritability, medicine.disease, Genetic architecture, Article, Variation (linguistics), mental disorders, medicine, Autism, Heritability of autism, Genetic risk, Allele
Abstract: A key component of genetic architecture is the allelic spectrum influencing trait variability. For autism spectrum disorder (henceforth autism) the nature of its allelic spectrum is uncertain. Individual risk genes have been identified from rare variation, especially de novo mutations1–8. From this evidence one might conclude that rare variation dominates its allelic spectrum, yet recent studies show that common variation, individually of small effect, has substantial impact en masse9,10. At issue is how much of an impact relative to rare variation. Using a unique epidemiological sample from Sweden, novel methods that distinguish total narrow-sense heritability from that due to common variation, and by synthesizing results from other studies, we reach several conclusions about autism’s genetic architecture: its narrow-sense heritability is ≈54% and most traces to common variation; rare de novo mutations contribute substantially to individuals’ liability; still their contribution to variance in liability, 2.6%, is modest compared to heritable variation.
Published: 2014

18. Transcriptional Consequences of 16p11.2 Deletion and Duplication in Mouse Cortex and Multiplex Autism Families

Author: Ian Blumenthal, Bernie Devlin, Joshua Z. Levin, Carl Ernst, Vanessa C. Wheeler, Ashok Ragavendran, Kathryn Roeder, Poornima Manavalan, Aarathi Sugathan, Serkan Erdin, Michael E. Talkowski, Lambertus Klei, James F. Gusella, Jolene R. Guide, and Julian Q. Zhou
Subjects: Male, DNA Copy Number Variations, Genotype, Transcription, Genetic, genetic structures, Genome-wide association study, Biology, Article, MECP2, Mice, 03 medical and health sciences, EHMT1, 0302 clinical medicine, Intellectual Disability, Chromosome Duplication, Gene duplication, Genetics, Animals, Humans, Genetics(clinical), Autistic Disorder, Child, Gene, Genetics (clinical), 030304 developmental biology, Cerebral Cortex, 0303 health sciences, Dosage compensation, Sequence Analysis, RNA, FMR1, Phenotype, Pedigree, Female, Chromosome Deletion, Chromosomes, Human, Pair 16, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Reciprocal copy-number variation (CNV) of a 593 kb region of 16p11.2 is a common genetic cause of autism spectrum disorder (ASD), yet it is not completely penetrant and can manifest in a wide array of phenotypes. To explore its molecular consequences, we performed RNA sequencing of cerebral cortex from mouse models with CNV of the syntenic 7qF3 region and lymphoblast lines from 34 members of 7 multiplex ASD-affected families harboring the 16p11.2 CNV. Expression of all genes in the CNV region correlated well with their DNA copy number, with no evidence of dosage compensation. We observed effects on gene expression outside the CNV region, including apparent positional effects in cis and in trans at genomic segments with evidence of physical interaction in Hi-C chromosome conformation data. One of the most significant positional effects was telomeric to the 16p11.2 CNV and includes the previously described "distal" 16p11.2 microdeletion. Overall, 16p11.2 CNV was associated with altered expression of genes and networks that converge on multiple hypotheses of ASD pathogenesis, including synaptic function (e.g., NRXN1, NRXN3), chromatin modification (e.g., CHD8, EHMT1, MECP2), transcriptional regulation (e.g., TCF4, SATB2), and intellectual disability (e.g., FMR1, CEP290). However, there were differences between tissues and species, with the strongest effects being consistently within the CNV region itself. Our analyses suggest that through a combination of indirect regulatory effects and direct effects on nuclear architecture, alteration of 16p11.2 genes disrupts expression networks that involve other genes and pathways known to contribute to ASD, suggesting an overlap in mechanisms of pathogenesis.
Published: 2014
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19. Convergence of Genes and Cellular Pathways Dysregulated in Autism Spectrum Disorders

Author: Joana Almeida, Christian R. Marshall, Hakon Hakonarson, Bárbara Oliveira, Anthony J. Griswold, Jacob A. S. Vorstman, Bhooma Thiruvahindrapuram, Suma Jacob, Judith Conroy, Alistair T. Pagnamenta, Christelle Cabrol, Jeremy R. Parr, Daniel H. Geschwind, Nancy J. Minshew, Xiao Xu, Richard Anney, Sven Bölte, Zhuozhi Wang, Emily L. Crawford, Elsa Delaby, Margaret A. Pericak-Vance, Joachim Hallmayer, Jonathan L. Haines, Dalila Pinto, Susana Mouga, Alexander Kolevzon, Elena Bacchelli, Frederico Duque, Bernie Devlin, Latha Soorya, Cátia Café, Kirsty Wing, Jennifer K. Lowe, Ana Tryfon, Stephen J. Guter, Geraldine Dawson, Tiago R. Magalhaes, Anthony J. Bailey, Michael Gill, Peter Szatmari, Steven Gallinger, Marion Pilorge, James S. Sutcliffe, Bridget A. Fernandez, Herman van Engeland, Catalina Betancur, Guiomar Oliveira, Andrew Green, Eftichia Duketis, Bernadette Rogé, Ann Le Couteur, Evdokia Anagnostou, Michelle Cotterchio, Daniele Merico, Giovanna Pellecchia, Jonathan Green, Regina Regan, Jillian P. Casey, Guiqing Cai, Gerard D. Schellenberg, Jennifer L. Howe, Elena Maestrini, Andrew D. Paterson, L. Alison McInnes, Patrick Bolton, Edwin H. Cook, Richard Delorme, Lambertus Klei, Thomas Bourgeron, Gillian Baird, Christine M. Freitag, Beth A. Dombroski, Andreas G. Chiocchetti, Sabine M. Klauck, Susan E. Folstein, Mafalda Barbosa, Anthony P. Monaco, Marion Leboyer, Nadia Bolshakova, Fritz Poustka, Richard Holt, Kerstin Wittemeyer, Wendy Roberts, Lonnie Zwaigenbaum, Louise Gallagher, Susan G. McGrew, Joseph D. Buxbaum, Graham Casey, Simon Wallace, Catherine Lord, Sean Brennan, Robert Ziman, Alison K. Merikangas, John I. Nurnberger, Christopher Gillberg, Ellen M. Wijsman, Astrid M. Vicente, Inȇs C. Conceição, Sean Ennis, Patricia Jiménez González, Hilary Coon, Raphael Bernier, John R. Gilbert, Ann P. Thompson, Susanne Thomson, Agatino Battaglia, Maretha de Jonge, Michael L. Cuccaro, Catarina Correia, Veronica J. Vieland, Stephen W. Scherer, Pauline Chaste, Departments of Psychiatry, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai [New York] (MSSM)-Seaver Autism Center-, The Mindich Child Health & Development Institute, Department of Psychiatry, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Seaver Autism Center for Research and Treatment, Friedman Brain Institute, The Mindich Child Health and Development Institute, The Icahn Institute for Genomics and Multiscale Biology, Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Trinity College Dublin-St. James's Hospital, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), McLaughlin Centre, University of Toronto, BioFIG, Center for Biodiversity, Functional and Integrative Genomics, Department of Neurology, University of California [Los Angeles] (UCLA), University of California-University of California-David Geffen School of Medicine [Los Angeles], University of California-University of California, Fisico-Quimica Biologica, Universidade Federal do Rio de Janeiro (UFRJ), John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Department of Pathology, Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital [Toronto, Canada] (MSH), Prevention & Cancer Control, Cancer Care Ontario, Department of Preventive Medicine, University of Southern California (USC), Department of Pediatrics, University of Alberta, School of Education, University of Birmingham [Birmingham], University of Oxford [Oxford]-Warneford Hospital, Octogone Unité de Recherche Interdisciplinaire (Octogone), Université Toulouse - Jean Jaurès (UT2J), Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Unidade de Neurodesenvolvimento e Autismo (UNDA), Hospital Pediatrico de Coimbra, Institute for Biomedical Imaging and Life Science, University of Coimbra [Portugal] (UC), Vanderbilt University [Nashville], Center for Autism and the Developing Brain (CADB), Weill Medical College of Cornell University [New York], Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-IFR10, Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Institute of Health and Society, Newcastle University [Newcastle], Department of Child and Adolescent Psychiatry, Newcastle University [Newcastle]-Institute of Health & Society (Child & Adolescent Psychiatry), Child Developmental and Behavioral Unit, Hospital Nacional de Niños Dr Sáenz Herrera, Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Manchester Academic Health Sciences Centre, Gillberg Neuropsychiatry Centre [Göteborg, Sueden], Institute of Neuroscience and Physiology [Göteborg]-University of Gothenburg (GU), Institute of Child Health, University College of London [London] (UCL), Memorial University of Newfoundland [St. John's], Disciplines of Genetics and Medicine, Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Institute of Psychiatry, King‘s College London, Institute of psychiatry, University of Washington [Seattle], Paediatric Neurodisability, King‘s College London-King's Health Partners, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London-The Institute of Psychiatry, University of British Columbia (UBC), Bloorview Research Institute, Division of Medical Genetics [Seattle], Departments of Biostatistics and Medicine, Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Institute of Neuroscience [Newcastle] (ION), Institutes of Neuroscience and Health and Society, Indiana University School of Medicine, Indiana University System-Indiana University System, The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Utah Autism Research Program, University of Utah Psychiatry Department, University of Miami School of Medicine, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], Department of Psychiatry and Behavioral Sciences [Stanford], Stanford Medicine, Stanford University-Stanford University, Stanford School of Medicine [Stanford], Institute for Juvenile Research, University of Illinois [Chicago] (UIC), Department of Neuroscience, Main funders of the Autism Genome Project: Autism Speaks (USA), the Health Research Board (Ireland, AUT/2006/1, AUT/2006/2, PD/2006/48), the Medical Research Council (UK), the Hilibrand Foundation (USA), Genome Canada, the Ontario Genomics Institute, and the Canadian Institutes of Health Research (CIHR), Autism Genome Project Consortium, Neuroscience Paris Seine (NPS), 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)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of Oxford, University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], University of California (UC)-University of California (UC), University of Pennsylvania, University of Oxford-Warneford Hospital, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania-University of Pennsylvania-Children’s Hospital of Philadelphia (CHOP ), Betancur, Catalina, Instituto Nacional de Saude Dr Ricardo Jorge, Universidade Federal do Rio de Janeiro [Rio de Janeiro] (UFRJ), Laboratoire Analyse et Modélisation pour la Biologie et l'Environnement (LAMBE - UMR 8587), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Università di Bologna [Bologna] (UNIBO), Mount Sinai Hospital (MSH), University of Toronto-The Hospital for Sick Children, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Gillberg Neuropsychiatry Centre, University of Gothenburg (GU), Stanford University Medical School, Stanford University School of Medicine [Stanford], Stanford University [Stanford], Université de Toulouse (UT)-Université de Toulouse (UT), Pinto D, Delaby E, Merico D, Barbosa M, Merikangas A, Klei L, Thiruvahindrapuram B, Xu X, Ziman R, Wang Z, Vorstman JA, Thompson A, Regan R, Pilorge M, Pellecchia G, Pagnamenta AT, Oliveira B, Marshall CR, Magalhaes TR, Lowe JK, Howe JL, Griswold AJ, Gilbert J, Duketis E, Dombroski BA, De Jonge MV, Cuccaro M, Crawford EL, Correia CT, Conroy J, Conceição IC, Chiocchetti AG, Casey JP, Cai G, Cabrol C, Bolshakova N, Bacchelli E, Anney R, Gallinger S, Cotterchio M, Casey G, Zwaigenbaum L, Wittemeyer K, Wing K, Wallace S, van Engeland H, Tryfon A, Thomson S, Soorya L, Rogé B, Roberts W, Poustka F, Mouga S, Minshew N, McInnes LA, McGrew SG, Lord C, Leboyer M, Le Couteur AS, Kolevzon A, Jiménez González P, Jacob S, Holt R, Guter S, Green J, Green A, Gillberg C, Fernandez BA, Duque F, Delorme R, Dawson G, Chaste P, Café C, Brennan S, Bourgeron T, Bolton PF, Bölte S, Bernier R, Baird G, Bailey AJ, Anagnostou E, Almeida J, Wijsman EM, Vieland VJ, Vicente AM, Schellenberg GD, Pericak-Vance M, Paterson AD, Parr JR, Oliveira G, Nurnberger JI, Monaco AP, Maestrini E, Klauck SM, Hakonarson H, Haines JL, Geschwind DH, Freitag CM, Folstein SE, Ennis S, Coon H, Battaglia A, Szatmari P, Sutcliffe JS, Hallmayer J, Gill M, Cook EH, Buxbaum JD, Devlin B, Gallagher L, Betancur C, and Scherer SW.
Subjects: Male, INTELLECTUAL DISABILITY, pathways, Genome-wide association study, [SDV.GEN] Life Sciences [q-bio]/Genetics, Bioinformatics, DUPLICATIONS, Intellectual disability, Gene Regulatory Networks, Genetics(clinical), Copy-number variation, 10. No inequality, Child, GDI1, Genetics (clinical), Sequence Deletion, COPY NUMBER VARIANTS, Genetics, gene networks, Copy Number Variation, 3. Good health, Pedigree, Fragile X syndrome, Multigene Family, Female, Metabolic Networks and Pathways, de novo, DNA Copy Number Variations, autism, Biology, rare CNV, PHENOTYPE ONTOLOGY, Article, Structural variation, mental disorders, medicine, Humans, ddc:610, FRAGILE-X-SYNDROME, GENOME-WIDE ASSOCIATION, Gene, [SDV.GEN]Life Sciences [q-bio]/Genetics, HDAC4, SETD5, medicine.disease, CHD2, inherited, STRUCTURAL VARIATION, DELETIONS, DE-NOVO MUTATIONS, Child Development Disorders, Pervasive, Autism
Abstract: International audience; Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability (odds ratio = 12.62, p = 2.7 × 10(-15), ∼3% of ASD subjects). Pathogenic CNVs, often showing variable expressivity, included rare de novo and inherited events at 36 loci, implicating ASD-associated genes (CHD2, HDAC4, and GDI1) previously linked to other neurodevelopmental disorders, as well as other genes such as SETD5, MIR137, and HDAC9. Consistent with hypothesized gender-specific modulators, females with ASD were more likely to have highly penetrant CNVs (p = 0.017) and were also overrepresented among subjects with fragile X syndrome protein targets (p = 0.02). Genes affected by de novo CNVs and/or loss-of-function single-nucleotide variants converged on networks related to neuronal signaling and development, synapse function, and chromatin regulation.
Published: 2014
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20. Genetic risk for schizophrenia and psychosis in Alzheimer disease

Author: Agustín Ruiz, Isabel Hernández, Deborah J. Hollingshead, Dylan T. Vrana, Julie Williams, Mary Ann A. DeMichele-Sweet, L. Tárraga, Etienne Sibille, Richard Mayeux, Rebecca Sims, Bernie Devlin, Robert A. Sweet, Sonia Moreno-Grau, Kamboh Mi, Lambertus Klei, Howard Seltman, Oscar L. Lopez, Tatiana Foroud, Mercè Boada, and Elise A. Weamer
Subjects: 0301 basic medicine, Oncology, Male, medicine.medical_specialty, Psychosis, Multifactorial Inheritance, Genotype, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Alzheimer Disease, Internal medicine, medicine, Dementia, Humans, Genetic Predisposition to Disease, Cognitive decline, Psychiatry, Molecular Biology, Alleles, Genetic association, Aged, Aged, 80 and over, medicine.disease, 3. Good health, Psychiatry and Mental health, 030104 developmental biology, Psychotic Disorders, Schizophrenia, Behavioral medicine, Cohort, Female, Alzheimer's disease, Psychology, 030217 neurology & neurosurgery
Abstract: Psychotic symptoms, defined as the occurrence of delusions or hallucinations, are frequent in Alzheimer disease (AD), affecting ~40 to 60% of individuals with AD (AD with psychosis (AD+P)). In comparison with AD subjects without psychosis, AD+P subjects have more rapid cognitive decline and poor outcomes. Prior studies have estimated the heritability of psychosis in AD at 61%, but the underlying genetic sources of this risk are not known. We evaluated a Discovery Cohort of 2876 AD subjects with (N=1761) or without psychosis (N=1115). All subjects were genotyped using a custom genotyping array designed to evaluate single-nucleotide polymorphisms (SNPs) with evidence of genetic association with AD+P and include SNPs affecting or putatively affecting risk for schizophrenia and AD. Results were replicated in an independent cohort of 2194 AD subjects with (N=734) or without psychosis (N=1460). We found that AD+P is associated with polygenic risk for a set of novel loci and inversely associated with polygenic risk for schizophrenia. Among the biologic pathways identified by the associations of schizophrenia SNPs with AD+P are endosomal trafficking, autophagy and calcium channel signaling. To the best of our knowledge, these findings provide the first clear demonstration that AD+P is associated with common genetic variation. In addition, they provide an unbiased link between polygenic risk for schizophrenia and a lower risk of psychosis in AD. This provides an opportunity to leverage progress made in identifying the biologic effects of schizophrenia alleles to identify novel mechanisms protecting against more rapid cognitive decline and psychosis risk in AD.
Published: 2016

21. A Pleiotropic Missense Variant in SLC39A8 Is Associated With Crohn's Disease and Human Gut Microbiome Composition

Author: Raquel Milgrom, Yashoda Sharma, Leif Törkvist, Mauro D'Amato, Talin Haritunians, Ramnik J. Xavier, Hakon Hakonarson, Leonard Baidoo, Ashwin N. Ananthakrishnan, Marla Dubinsky, Graham L. Radford-Smith, Deborah D. Proctor, Mark J. Daly, Subra Kugathasan, Jan Hendrik Niess, Judy H. Cho, Jürgen Glas, L. Philip Schumm, Mark S. Silverberg, Claudio Fiocchi, Lambertus Klei, Ken Y. Hui, Miguel Regueiro, James Borneman, Dalin Li, Jonathan Braun, Steven R. Brant, Dermot P.B. McGovern, John D. Rioux, Stephan Brand, Jonas Halfvarson, Guy Aumais, Jean Paul Achkar, Lisa A. Simms, Carsten Büning, Joanne M. Stempak, Stephan R. Targan, Jonathan P. Jacobs, Richard H. Duerr, and Bernie Devlin
Subjects: 0301 basic medicine, Male, Linkage disequilibrium, Genome-wide association study, Ulcerative, Crohn's Disease, Inflammatory bowel disease, Oral and gastrointestinal, Crohn Disease, Polymorphism (computer science), Risk Factors, 2.1 Biological and endogenous factors, Aetiology, Cation Transport Proteins, Genetics, Microbiota, Gastroenterology, Genetic Pleiotropy, Colitis, Female, Genotype, Clinical Sciences, Mutation, Missense, Single-nucleotide polymorphism, Biology, Autoimmune Disease, Article, Paediatrics and Reproductive Medicine, 03 medical and health sciences, Clinical Research, medicine, Humans, Microbiome, Allele, Alleles, Genetic association, Nutrition, Hepatology, Gastroenterology & Hepatology, Inflammatory Bowel Disease, Human Genome, Neurosciences, medicine.disease, Inflammatory Bowel Diseases, Gastrointestinal Microbiome, 030104 developmental biology, Case-Control Studies, Mutation, Colitis, Ulcerative, Missense, Digestive Diseases
Abstract: Background & aimsGenome-wide association studies have identified 200 inflammatory bowel disease (IBD) loci, but the genetic architecture of Crohn's disease (CD) and ulcerative colitis remain incompletely defined. Here, we aimed to identify novel associations between IBD and functional genetic variants using the Illumina ExomeChip (San Diego, CA).MethodsGenotyping was performed in 10,523 IBD cases and 5726 non-IBD controls. There were 91,713 functional single-nucleotide polymorphism loci in coding regions analyzed. A novel identified association was replicated further in 2 independent cohorts. We further examined the association of the identified single-nucleotide polymorphism with microbiota from 338 mucosal lavage samples in the Mucosal Luminal Interface cohort measured using 16S sequencing.ResultsWe identified an association between CD and a missense variant encoding alanine or threonine at position 391 in the zinc transporter solute carrier family 39, member 8 protein (SLC39A8 alanine 391 threonine, rs13107325) and replicated the association with CD in 2 replication cohorts (combined meta-analysis P= 5.55× 10(-13)). This variant has been associated previously with distinct phenotypes including obesity, lipid levels, blood pressure, and schizophrenia. We subsequently determined that the CD risk allele was associated with altered colonic mucosal microbiome composition in both healthy controls (P= .009) and CD cases(P= .0009). Moreover, microbes depleted in healthycarriers strongly overlap with those reduced in CD patients (P=9.24× 10(-16)) and overweight individuals (P=6.73×10(-16)).ConclusionsOur results suggest that anSLC39A8-dependent shift in the gut microbiome could explain itspleiotropic effects on multiple complex diseases includingCD.
Published: 2016

22. Common genetic variants in the CLDN2 and PRSS1-PRSS2 loci alter risk for alcohol-related and sporadic pancreatitis

Author: Marla Gearing, David G. Clark, Steven L. Carroll, Marianne Johnstone, Darwin L. Conwell, Gregory A. Cote, Sandra Weintraub, Matthew P. Frosch, Stuart Sherman, Badri N. Vardarajan, Joshua A. Sonnen, Lindy E. Harrell, Peter B. Cotton, Lisa L. Barnes, Lawrence S. Honig, Carol A. Miller, Adam Slivka, Michelle A. Anderson, Nadine M. Melhem, David A. Bennett, Joel H. Kramer, Jill P. Smith, Michele D. Lewis, Mary Ganguli, Jean Paul Vonsatte, Thomas J. Montine, Lee-Way Jin, Kenneth B. Fallon, Marilyn S. Albert, Eliezer Masliah, John H. Growdon, Barry Reisberg, Chuanhai Cao, Patricia L. Kramer, Douglas J. Hartman, Allan I. Levey, Jennifer Williamson, Vivianna M. Van Deerlin, Wayne W. Poon, Alison Goate, Vijay P. Singh, Bernie Devlin, Christiane Reitz, Ann C. McKee, Amanda Smith, Neill R. Graff-Radford, Walter A. Kukul, John Baillie, Andres Gelrud, Ranjan Duara, Thomas D. Bird, Clinton B. Wright, Deborah Blacker, Chiao-Feng Lin, Ge Li, Ronald C. Kim, Deborah C. Mash, Debby W. Tsuang, John P. Neoptolemos, Timothy B. Gardner, Kathryn L. Lunetta, Steven G. Younkin, Kara L. Hamilton-Nelson, Ronald L. Hamilton, F. Yesim Demirci, Eric M. Reiman, Charles DeCarli, John M Olichney, Richard Mayeux, Gregory A. Jicha, Michael R. O'Connell, Matt Tector, Eileen H. Bigio, Jonathan D. Glass, M. Ilyas Kamboh, Randall E. Brand, Christopher Lawrence, Steven E. Arnold, Jessica LaRusch, Elaine R. Peskind, David H. Cribbs, M.-Marsel Mesulam, Constantine G. Lyketsos, Michelle L. Kienholz, Frank M. LaFerla, Duane Beekly, Kelley Faber, Salvatore Spina, Gyungah Jun, Thiruvengadam Muniraj, Erik D. Roberson, Anna Karydas, Steven H. Ferris, Bruce L. Miller, Randall L. Woltjer, Li-San Wang, Lon S. Schneider, John C. Morris, John Q. Trojanowski, Jeffrey Kaye, Joseph E. Parisi, Nilufer Ertekin-Taner, Harry V. Vinters, Lidiya Orlichenko, Robert Barber, Chris E. Forsmark, Mary Sano, Bimaljit S. Sandhu, Peter A. Banks, Martin R. Farlow, Bradley T. Hyman, Joseph F. Quinn, Gary W. Beecham, James A. DiSario, Hakon Hakonarson, Daniel C. Marson, Adam C. Naj, Frank Martiniuk, Oscar L. Lopez, Mary E. Money, Julia Mayerle, William Greenhalf, Kathryn Roeder, Adam L. Boxer, Christine M. Hulette, Gerard D. Schellenberg, Georgios I. Papachristou, Douglas Galasko, James R. Burke, Donna B. Stolz, Murray A. Raskind, Peter Simon, Linda J. Van Eldik, Robert A. Hawes, Chang En Yu, Tatiana Foroud, Jonathan L. Haines, Stephen R. Wisniewski, William W. Seeley, Dhiraj Yadav, James J. Lah, C. Mel Wilcox, Sid Gilman, Liana G. Apostolova, Howard J. Rosen, Clinton T. Baldwin, Robert S. Stern, Narcis O. Zarnescu, Dennis W. Dickson, Margaret A. Pericak-Vance, Ashok Raj, Stephen T. Amann, Joseph D. Buxbaum, Ronald C. Petersen, Robert C. Green, David C. Whitcomb, Rudolph E. Tanzi, Lindsay A. Farrer, Helena C. Chui, Laura B. Cantwell, Wendy J. Mack, Samer Alkaade, Nigel J. Cairns, Thomas G. Beach, Frank Ulrich Weiss, Alyssa M. Krasinskas, Elizabeth Head, Nalini M. Guda, Julie A. Schneider, Malcolm B. Dick, Roger N. Rosenberg, Jill R. Murrel, Otto Valladares, Andrew J. Saykin, Huntington Potter, John R. Gilbert, Neil W. Kowall, Joseph Romagnuolo, Markus M. Lerch, Aimee Pierce, Roger L. Albin, John M. Ringman, James B. Leverenz, Carlos Cruchaga, Joshua W. Miller, Lei Yu, M. Michael Barmada, Lambertus Klei, Andrew P. Lieberman, Bernardino Ghetti, Robert Sutton, Kathleen A. Welsh-Bohmer, Juan C. Troncoso, Edward H. Koo, Elizabeth Crocco, Eden R. Martin, Daniel H. Geschwind, and Regina M. Carney
Subjects: Male, Pancreatic disease, Pancreatitis, Alcoholic, Genome-wide association study, Biology, Article, 03 medical and health sciences, 0302 clinical medicine, Sex Factors, Gene Frequency, Genotype, Genetics, medicine, PRSS2, Humans, Genetic Predisposition to Disease, Trypsin, Allele, Allele frequency, Homozygote, Genetic Variation, medicine.disease, 3. Good health, Hemizygote, 030220 oncology & carcinogenesis, Immunology, Claudins, Mutation, Trypsinogen, Pancreatitis, 030211 gastroenterology & hepatology, Female, Genome-Wide Association Study
Abstract: Pancreatitis is a complex, progressively destructive inflammatory disorder. Alcohol was long thought to be the primary causative agent, but genetic contributions have been of interest since the discovery that rare PRSS1, CFTR and SPINK1 variants were associated with pancreatitis risk. We now report two associations at genome-wide significance identified and replicated at PRSS1-PRSS2 (P < 1 × 10(-12)) and X-linked CLDN2 (P < 1 × 10(-21)) through a two-stage genome-wide study (stage 1: 676 cases and 4,507 controls; stage 2: 910 cases and 4,170 controls). The PRSS1 variant likely affects disease susceptibility by altering expression of the primary trypsinogen gene. The CLDN2 risk allele is associated with atypical localization of claudin-2 in pancreatic acinar cells. The homozygous (or hemizygous in males) CLDN2 genotype confers the greatest risk, and its alleles interact with alcohol consumption to amplify risk. These results could partially explain the high frequency of alcohol-related pancreatitis in men (male hemizygote frequency is 0.26, whereas female homozygote frequency is 0.07).
Published: 2012

23. Genome-wide Transcriptome Profiling Reveals the Functional Impact of Rare De Novo and Recurrent CNVs in Autism Spectrum Disorders

Author: Stephen Sanders, Bernie Devlin, Su H. Chu, Rui Luo, Daniel H. Geschwind, Lambertus Klei, Ni Huang, Jennifer K. Lowe, Irina Voineagu, Chaochao Cai, Matthew E. Hurles, Jing Ou, Yuan Tian, and Matthew W. State
Subjects: Proband, Child Development Disorders, DNA Copy Number Variations, Intellectual and Developmental Disabilities (IDD), Autism, Biology, medicine.disease_cause, Medical and Health Sciences, Genome, Article, Chromosomes, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, mental disorders, Gene expression, Genetics, medicine, Humans, 2.1 Biological and endogenous factors, Genetics(clinical), Aetiology, Child, Preschool, Gene, Genetics (clinical), Pervasive, 030304 developmental biology, Pediatric, Genetics & Heredity, 0303 health sciences, Mutation, Pair 16, Gene Expression Profiling, Human Genome, Neurosciences, Biological Sciences, medicine.disease, Phenotype, Brain Disorders, Mental Health, Child Development Disorders, Pervasive, Child, Preschool, Chromosomes, Human, Pair 16, 030217 neurology & neurosurgery, Human
Abstract: Copy-number variants (CNVs) are a major contributor to the pathophysiology of autism spectrum disorders (ASDs), but the functional impact of CNVs remains largely unexplored. Because brain tissue is not available from most samples, we interrogated gene expression in lymphoblasts from 244 families with discordant siblings in the Simons Simplex Collection in order to identify potentially pathogenic variation. Our results reveal that the overall frequency of significantly misexpressed genes (which we refer to here as outliers) identified in probands and unaffected siblings does not differ. However, in probands, but not their unaffected siblings, the group of outlier genes is significantly enriched in neural-related pathways, including neuropeptide signaling, synaptogenesis, and cell adhesion. We demonstrate that outlier genes cluster within the most pathogenic CNVs (rare de novo CNVs) and can be used for the prioritization of rare CNVs of potentially unknown significance. Several nonrecurrent CNVs with significant gene-expression alterations are identified (these include deletions in chromosomal regions 3q27, 3p13, and 3p26 and duplications at 2p15), suggesting that these are potential candidate ASD loci. In addition, we identify distinct expression changes in 16p11.2 microdeletions, 16p11.2 microduplications, and 7q11.23 duplications, and we show that specific genes within the 16p CNV interval correlate with differences in head circumference, an ASD-relevant phenotype. This study provides evidence that pathogenic structural variants have a functional impact via transcriptome alterations in ASDs at a genome-wide level and demonstrates the utility of integrating gene expression with mutation data for the prioritization of genes disrupted by potentially pathogenic mutations.
Published: 2012
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24. Amino acid position 11 of HLA-DRβ1 is a major determinant of chromosome 6p association with ulcerative colitis

Author: Massimo Trucco, Lambertus Klei, Bernie Devlin, Richard H. Duerr, Aaron Brzezinski, Kathyrn Roeder, N. Rebert, Claudio Fiocchi, Gaia Bellone, Steven Ringquist, P. I W De Bakker, Jean-Paul Achkar, Kamboh Mi, Miguel Regueiro, Regan Scott, and Ying Lu
Subjects: Genotype, HLA-DR beta-Chains, Immunology, Locus (genetics), Genome-wide association study, Single-nucleotide polymorphism, Human leukocyte antigen, Major histocompatibility complex, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, Crohn Disease, Gene Frequency, Genetics, Humans, SNP, Genetic Predisposition to Disease, Allele frequency, Alleles, Genetics (clinical), ulcerative colitis, 030304 developmental biology, chemistry.chemical_classification, 0303 health sciences, inflammatory bowel disease genetics, biology, major histocompatibility complex, Amino acid, Amino Acid Substitution, chemistry, biology.protein, Chromosomes, Human, Pair 6, Colitis, Ulcerative, 030211 gastroenterology & hepatology, Genome-Wide Association Study
Abstract: The major histocompatibility complex (MHC) on chromosome 6p is an established risk locus for ulcerative colitis (UC) and Crohn's disease (CD). We aimed to better define MHC association signals in UC and CD by combining data from dense single-nucleotide polymorphism (SNP) genotyping and from imputation of classical human leukocyte antigen (HLA) types, their constituent SNPs and corresponding amino acids in 562 UC, 611 CD and 1428 control subjects. Univariate and multivariate association analyses were performed, controlling for ancestry. In univariate analyses, absence of the rs9269955 C allele was strongly associated with risk for UC (P = 2.67 × 10(-13)). rs9269955 is a SNP in the codon for amino acid position 11 of HLA-DRβ1, located in the P6 pocket of the HLA-DR antigen binding cleft. This amino acid position was also the most significantly UC-associated amino acid in omnibus tests (P = 2.68 × 10(-13)). Multivariate modeling identified rs9269955-C and 13 other variants in best predicting UC vs control status. In contrast, there was only suggestive association evidence between the MHC and CD. Taken together, these data demonstrate that variation at HLA-DRβ1, amino acid 11 in the P6 pocket of the HLA-DR complex antigen binding cleft is a major determinant of chromosome 6p association with UC.
Published: 2011
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25. Identification of common variants influencing risk of the tauopathy Progressive Supranuclear Palsy

Author: Marla Gearing, Jean Paul G. Vonsattel, Anna Karydas, Manuela Apfelbacher, Herbert Budka, Bernie Devlin, Alessandro Padovani, Wallace W. Tourtellotte, Andrew J. Lees, Karin Srulijes, Li-San Wang, Klaus Seppi, Gianni Pezzoli, Yvette Bordelon, Claudia Trenkwalder, Ryan J. Uitti, Peter Paul De Deyn, Nicole A. Finch, Roger L. Albin, Ranjan Duara, Gerard D. Schellenberg, Alberto Rábano, Kelly E. Lyons, Rosa Rademakers, Douglas Galasko, Giorgio Sacilotto, Dennis W. Dickson, Günter U. Höglinger, Silvana Tesei, John Hardy, Carlo Colosimo, Eliezer Masliah, Pia Winter, Joseph Jankovic, William W. Seeley, Claudio Mariani, David E. Riley, Matthew J. Farrer, Angelo Antonini, Jens Carsten Möller, Alex Rajput, Hans A. Kretzschmar, Nenad Bogdanovic, Nadine M. Melhem, Ulrich Müller, Steven E. Arnold, Wolfgang H. Oertel, Jorge L. Juncos, Rachel G. Gross, Daniela Berg, Rajesh Pahwa, Deborah A. Hall, Alexandra Durr, Chris Zarow, Lili-Naz Hazrati, Virginia M.-Y. Lee, Justo Garcãa De Yebenes, Donatella Ottaviani, John C. van Swieten, Tamas Revesz, John Q. Trojanowski, Zbigniew K. Wszolek, Sigrun Roeber, Werner Poewe, Matthias Höllerhage, Neill R. Graff-Radford, Laura B. Cantwell, Elena Alonso, Irene Litvan, Claire Troakes, Patrick M. A. Sleiman, Peter St George-Hyslop, Isabelle Leber, Lawrence I. Golbe, Chang En Yu, Allissa Dillman, Anna Zecchinelli, Stephen G. Reich, Stefano Goldwurm, Salvatore Spina, Eduardo Tolosa, Vivianna M. Van Deerlin, Charles L. White, Agnita J.W. Boon, Andrew B. Singleton, Huw R. Morris, Mi Ryung Han, Dena G. Hernandez, Carles Gaig, Matthew P. Frosch, Sebastiaan Engelborghs, Juan C. Troncoso, Roberto Cilia, Catriona McLean, Thomas Gasser, Robyn Flook, Barbara Borroni, Rohan de Silva, Murray Grossman, Martin N. Rossor, Bruce L. Miller, Sean S. O'Sullivan, Hakon Hakonarson, Walter Maetzler, Thomas D. Bird, David G. Standaert, Gesine Respondek, Marcel P. van der Brug, Sherry Beecher, Howard I. Hurtig, Gregor K. Wenning, J. Raphael Gibbs, Alexis Brice, Stuart Pickering-Brown, Jonathan D. Rohrer, Christopher Morris, Jana Vandrovcova, Giovanni Fabbrini, Jesús Avila, Owen A. Ross, Margherita Canesi, Lambertus Klei, Andrew P. Lieberman, Bernardino Ghetti, Laura Silveira-Moriyama, Peter Heutink, Pau Pastor, Nicoletta Meucci, Evan T. Geller, Luke A. Massey, Wang Zheng Chiu, Laura Donker Kaat, Maria Stamelou, Brit Mollenhauer, Mark R. Cookson, Thomas G. Beach, Novartis, Federal Ministry of Education and Research (Germany), Helmholtz Association, European Commission, Human genetics, NCA - Neurodegeneration, Neurology, Foundation for the National Institutes of Health, National Institute of Mental Health (US), German Genomics Initiative, German Research Foundation, Medical Research Council (UK), NIHR Biomedical Research Centre (UK), Harvard Brain Tissue Resource Center, Telethon Italia, Canadian Institutes of Health Research, Mayo Clinic, Nafarroako Gobernua, Fondazione Grigioni per il Morbo di Parkinson, De Deyn, Peter Paul, Engelborghs, Sebastiaan, and PSP Genetics Study Group
Subjects: pathology [Tauopathies], Genome-wide association study, Neurodegenerative, Medical and Health Sciences, Cohort Studies, 0302 clinical medicine, Degenerative disease, Risk Factors, Corticobasal degeneration, GWAS, 2.1 Biological and endogenous factors, Supranuclear Palsy, Chromosomes, Human, EIF2AK3, Aetiology, Genetics, Pediatric, 0303 health sciences, genetics [Supranuclear Palsy, Progressive], Single Nucleotide, Biological Sciences, Prognosis, 3. Good health, Frontotemporal Dementia (FTD), Tauopathies, Neurological, genetics [Polymorphism, Single Nucleotide], Tauopathy, Brain diseases, Supranuclear Palsy, Progressive, Palsy, Human, pathology [Supranuclear Palsy, Progressive], Single-nucleotide polymorphism, MAPT protein, human, tau Proteins, Neuropathology, Progressive Supranuclear Palsy, Biology, genetics [Chromosomes, Human], Polymorphism, Single Nucleotide, Chromosomes, Article, Progressive supranuclear palsy, PSP Genetics Study Group, 03 medical and health sciences, Rare Diseases, Progressive, ddc:570, medicine, Acquired Cognitive Impairment, Humans, Genetic Predisposition to Disease, Polymorphism, 030304 developmental biology, Cerebral Palsy, Prevention, Human Genome, genetics [Tauopathies], Neurosciences, Genetic Variation, Perinatal Period - Conditions Originating in Perinatal Period, medicine.disease, eye diseases, Brain Disorders, genetics [tau Proteins], Genetic Loci, Case-Control Studies, Dementia, Human medicine, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract: Progressive supranuclear palsy (PSP) is a movement disorder with prominent tau neuropathology. Brain diseases with abnormal tau deposits are called tauopathies, the most common being Alzheimer’s disease. Environmental causes of tauopathies include repetitive head trauma associated with some sports. To identify common genetic variation contributing to risk for tauopathies, we carried out a genome-wide association study of 1,114 PSP cases and 3,247 controls (Stage 1) followed up by a second stage where 1,051 cases and 3,560 controls were genotyped for Stage 1 SNPs that yielded P ≤ 10−3. We found significant novel signals (P < 5 × 10−8) associated with PSP risk at STX6, EIF2AK3, and MOBP. We confirmed two independent variants in MAPT affecting risk for PSP, one of which influences MAPT brain expression. The genes implicated encode proteins for vesicle-membrane fusion at the Golgi-endosomal interface, for the endoplasmic reticulum unfolded protein response, and for a myelin structural component., T.G. serves as an editorial board member of Movement Disorders and Parkinsonism and Related Disorders and is funded by Novartis Pharma, the Federal Ministry of Education and Research (BMBF) (NGFN-Plus and ERA-Net NEURON), the Helmholtz Association (HelMA, Helmholtz Alliance for Health in an Ageing Society) and the European Community (MeFoPa, Medndelian Forms of Parkinsonism). T.G. received speakers honoraria from Novartis, Merck-Serono, Schwarz Pharma, Boehringer Ingelheim and Valeant Pharma and royalties for his consulting activities from Cefalon Pharma and Merck-Serono. T.G. holds a patent concerning the LRRK2 gene and neurodegenerative disorders. J.H. is consulting for Merck Serono and Eisai. I.Litvan is the founder of the Litvan Neurological Research Foundation, whose mission is to increase awareness, determine the cause/s and search for a cure for neurodegenerative disorders presenting with either parkinsonian or dementia symptoms (501c3).
Published: 2011
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26. Project Among African-Americans to Explore Risks for Schizophrenia (PAARTNERS): Evidence for Impairment and Heritability of Neurocognitive Functioning in Families of Schizophrenia Patients

Author: Joseph Kwentus, Raquel E. Gur, Trina B. Allen, L. DiAnne Bradford, Howard W. Wiener, J. Daniel Ragland, Judith Rosemary O'Jile, Bernie Devlin, Lambertus Klei, Alberto B. Santos, Ping Tepper, Vishwajit L. Nimgaonkar, Paul D. Lyons, Rodney C.P. Go, Monica E. Calkins, Neil B. Edwards, Robert Savage, Muktar H. Aliyu, Jan Richard, and Ruben C. Gur
Subjects: Adult, Male, Proband, medicine.medical_specialty, Bipolar Disorder, Substance-Related Disorders, Schizophrenia (object-oriented programming), Schizoaffective disorder, Neuropsychological Tests, Severity of Illness Index, behavioral disciplines and activities, Article, Risk Factors, mental disorders, Severity of illness, Prevalence, Reaction Time, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, Psychiatry, Depressive Disorder, Major, Brain, Chromosome Mapping, Middle Aged, medicine.disease, Black or African American, Psychiatry and Mental health, Psychotic Disorders, Endophenotype, Schizophrenia, Female, Cognition Disorders, Psychology, Neurocognitive, Psychopathology, Clinical psychology
Abstract: Neurocognitive impairments in schizophrenia are well replicated and widely regarded as candidate endophenotypes that may facilitate understanding of schizophrenia genetics and pathophysiology. The Project Among African-Americans to Explore Risks for Schizophrenia (PAARTNERS) aims to identify genes underlying liability to schizophrenia. The unprecedented size of its study group (N=1,872), made possible through use of a computerized neurocognitive battery, can help further investigation of the genetics of neurocognition. The current analysis evaluated two characteristics not fully addressed in prior research: 1) heritability of neurocognition in African American families and 2) relationship between neurocognition and psychopathology in families of African American probands with schizophrenia or schizoaffective disorder.Across eight data collection sites, patients with schizophrenia or schizoaffective disorder (N=610), their biological relatives (N=928), and community comparison subjects (N=334) completed a standardized diagnostic evaluation and the computerized neurocognitive battery. Performance accuracy and response time (speed) were measured separately for 10 neurocognitive domains.The patients with schizophrenia or schizoaffective disorder exhibited less accuracy and speed in most neurocognitive domains than their relatives both with and without other psychiatric disorders, who in turn were more impaired than comparison subjects in most domains. Estimated trait heritability after inclusion of the mean effect of diagnostic status, age, and sex revealed significant heritabilities for most neurocognitive domains, with the highest for accuracy of abstraction/flexibility, verbal memory, face memory, spatial processing, and emotion processing and for speed of attention.Neurocognitive functions in African American families are heritable and associated with schizophrenia. They show potential for gene-mapping studies.
Published: 2010
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27. Consanguinity associated with increased risk for bipolar I disorder in Egypt

Author: Bernie Devlin, Warda Fathi, Joel Wood, Farha A El-Chennawi, Hala El-Boraie, Salwa Tobar, Mohamed Shahda, Mohamed El-Sayed, Hanan Gaafar, Mai Elassy, Wafaa El-Bahaei, Nahed E. Ibrahim, Hala Salah, Ahmed Eissa, Eman El Sheshtawy, Hader Mansour, Vishwajit L. Nimgaonkar, Kodavali V. Chowdari, Osama El-Boraie, Amal Yassin, Lambertus Klei, and Michael E. Talkowski
Subjects: Adult, Male, medicine.medical_specialty, Bipolar Disorder, Bipolar I disorder, Population, Consanguinity, Polymerase Chain Reaction, Article, Interviews as Topic, Cellular and Molecular Neuroscience, Pregnancy, Risk Factors, Epidemiology, Humans, Medicine, Marriage, Family history, Risk factor, education, Genetics (clinical), Genetics, education.field_of_study, Cultural Characteristics, Polymorphism, Genetic, business.industry, Case-control study, medicine.disease, Psychiatry and Mental health, Case-Control Studies, Egypt, Female, business, Inbreeding, Microsatellite Repeats, Demography
Abstract: We aimed to contrast rates of consanguinity among patients with bipolar I disorder (BP1) and controls in a population with customary consanguineous marriages (i.e., marriage between related individuals). Consanguinity increases risk for numerous monogenic and polygenic diseases. Whether the risk for BP1 increases with consanguinity has not been investigated systematically. Two independent studies were conducted in Egypt: (1) Case–control study 93 patients with BP1, 90 screened adult control individuals, and available parents. The inbreeding coefficient/consanguinity rate was estimated in two ways: using 64 DNA polymorphisms (“DNA-based” rate); and from family history data (“self report”); (2) Epidemiological survey: total of 1,584 individuals were screened, from whom self-reported consanguinity data were obtained for identified BP1 cases (n=35) and 150 randomly selected, unaffected control individuals. DNA-based consanguinity rates showed significant case–control control differences (P=0.0039). Self-reported consanguinity rates were also elevated among BP1 patients in both samples (Study #1 OR=2.66, 95% confidence intervals, CI: 1.34, 5.29; Study #2: OR=4.64, 95% CI: 2.01, 10.34). In conclusion, two independent, systematic studies indicate increased consanguinity among Egyptian BP1 patients in the Nile delta region. Self-reported estimates of consanguinity are bolstered by DNA-based estimates, and both show significant case–control differences for BP1.
Published: 2009
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28. Autism genome-wide copy number variation reveals ubiquitin and neuronal genes

Author: Joseph Piven, Edward C. Frackelton, Christopher J. McDougle, Patrick M. A. Sleiman, Rosetta M. Chiavacci, John A. Sweeney, Guiqing Cai, Gerard D. Schellenberg, Camille W. Brune, Cuiping Hou, Shana M. Michaels, Rachel M. Game, Wendy Glaberson, Kai Wang, Raphael Bernier, Maja Bucan, Danielle Zurawiecki, Susan E. Levy, Alexander Kolevzon, Hilary Coon, Jeremy M. Silverman, Cecilia E. Kim, Latha Soorya, Nancy J. Minshew, Danielle S. Rudd, David J. Posey, Kacie J. Meyer, James H. Flory, Geraldine Dawson, Emily L. Crawford, Lea K. Davis, Judith Miller, Lambertus Klei, James S. Sutcliffe, Maria Garris, Evdokia Anagnostou, Annette Estes, Marcin Imielinski, Kelly A. Thomas, John I. Nurnberger, Struan F.A. Grant, Thomas H. Wassink, Hakon Hakonarson, Jonathan P. Bradfield, Edwin H. Cook, Bernie Devlin, Frederick G. Otieno, Joseph D. Buxbaum, Shawn Wood, Takeshi Sakurai, Robert T. Schultz, Jeffrey Munson, Thomas Owley, Kiran Annaiah, Joseph T. Glessner, Jennifer Reichert, Haitao Zhang, William M. McMahon, and Olena Korvatska
Subjects: Genotype, Cell Adhesion Molecules, Neuronal, Gene Dosage, Epigenetics of autism, Biology, Polymerase Chain Reaction, Polymorphism, Single Nucleotide, Article, Cohort Studies, mental disorders, Genetic variation, medicine, Pervasive developmental disorder, Humans, Gene Regulatory Networks, Genetic Predisposition to Disease, Heritability of autism, Copy-number variation, Autistic Disorder, Neurons, Genetics, Multidisciplinary, Genome, Human, Ubiquitin, Genetic Variation, Reproducibility of Results, medicine.disease, Human genetics, Europe, Developmental disorder, Case-Control Studies, Autism
Abstract: Autism spectrum disorders (ASDs) are childhood neurodevelopmental disorders with complex genetic origins. Previous studies focusing on candidate genes or genomic regions have identified several copy number variations (CNVs) that are associated with an increased risk of ASDs. Here we present the results from a whole-genome CNV study on a cohort of 859 ASD cases and 1,409 healthy children of European ancestry who were genotyped with approximately 550,000 single nucleotide polymorphism markers, in an attempt to comprehensively identify CNVs conferring susceptibility to ASDs. Positive findings were evaluated in an independent cohort of 1,336 ASD cases and 1,110 controls of European ancestry. Besides previously reported ASD candidate genes, such as NRXN1 (ref. 10) and CNTN4 (refs 11, 12), several new susceptibility genes encoding neuronal cell-adhesion molecules, including NLGN1 and ASTN2, were enriched with CNVs in ASD cases compared to controls (P = 9.5 x 10(-3)). Furthermore, CNVs within or surrounding genes involved in the ubiquitin pathways, including UBE3A, PARK2, RFWD2 and FBXO40, were affected by CNVs not observed in controls (P = 3.3 x 10(-3)). We also identified duplications 55 kilobases upstream of complementary DNA AK123120 (P = 3.6 x 10(-6)). Although these variants may be individually rare, they target genes involved in neuronal cell-adhesion or ubiquitin degradation, indicating that these two important gene networks expressed within the central nervous system may contribute to the genetic susceptibility of ASD.
Published: 2009
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29. A genome-wide association study of autism using the Simons Simplex Collection: Does reducing phenotypic heterogeneity in autism increase genetic homogeneity?

Author: James S. Sutcliffe, Timothy W. Yu, Dorothy E. Grice, Matthew W. State, Stephen Sanders, David H. Ledbetter, A. Jeremy Willsey, Vanessa Hus, Bernie Devlin, Christopher A. Walsh, Eric Fombonne, Daniel H. Geschwind, Michael T. Murtha, Christa Lese Martin, Lambertus Klei, Daniel Moreno-De-Luca, Jennifer K. Lowe, Shrikant Mane, Edwin H. Cook, Pauline Chaste, Catherine Lord, Eric M. Morrow, Donna M. Martin, and Arthur L. Beaudet
Subjects: Male, Autism Spectrum Disorder, Autism, Intellectual and Developmental Disabilities (IDD), Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Medical and Health Sciences, Article, Genetic variation, medicine, Genetics, Humans, GWAS, Heritability of autism, Genetic Predisposition to Disease, Family, Genetic Testing, Allele, Autistic Disorder, Polymorphism, Biological Psychiatry, Genetic association, Pediatric, Psychiatry, Genetic heterogeneity, Human Genome, Psychology and Cognitive Sciences, Genetic Variation, Single Nucleotide, Heritability, Biological Sciences, medicine.disease, Brain Disorders, Phenotype, Mental Health, Power, Female, Heterogeneity, Genome-Wide Association Study
Abstract: Background Phenotypic heterogeneity in autism has long been conjectured to be a major hindrance to the discovery of genetic risk factors, leading to numerous attempts to stratify children based on phenotype to increase power of discovery studies. This approach, however, is based on the hypothesis that phenotypic heterogeneity closely maps to genetic variation, which has not been tested. Our study examines the impact of subphenotyping of a well-characterized autism spectrum disorder (ASD) sample on genetic homogeneity and the ability to discover common genetic variants conferring liability to ASD. Methods Genome-wide genotypic data of 2576 families from the Simons Simplex Collection were analyzed in the overall sample and phenotypic subgroups defined on the basis of diagnosis, IQ, and symptom profiles. We conducted a family-based association study, as well as estimating heritability and evaluating allele scores for each phenotypic subgroup. Results Association analyses revealed no genome-wide significant association signal. Subphenotyping did not increase power substantially. Moreover, allele scores built from the most associated single nucleotide polymorphisms, based on the odds ratio in the full sample, predicted case status in subsets of the sample equally well and heritability estimates were very similar for all subgroups. Conclusions In genome-wide association analysis of the Simons Simplex Collection sample, reducing phenotypic heterogeneity had at most a modest impact on genetic homogeneity. Our results are based on a relatively small sample, one with greater homogeneity than the entire population; if they apply more broadly, they imply that analysis of subphenotypes is not a productive path forward for discovering genetic risk variants in ASD.
Published: 2015

30. The autism-associated chromatin modifier CHD8 regulates other autism risk genes during human neurodevelopment

Author: Wei Niu, Steven K. Reilly, Jun Yin, A. Jeremy Willsey, Jing Lei, Stephen Sanders, Mihovil Pletikos, Bernie Devlin, Li Liu, Candace Bichsel, Justin Cotney, Matthew W. State, Rebecca A. Muhle, Kathryn Roeder, Andrew T.N. Tebbenkamp, Wenzhong Liu, Nenad Sestan, James P. Noonan, and Lambertus Klei
Subjects: genetic structures, Autism Spectrum Disorder, Models, Neurological, Gene regulatory network, General Physics and Astronomy, Biology, Nervous System, behavioral disciplines and activities, Article, General Biochemistry, Genetics and Molecular Biology, Chromodomain, Mice, 03 medical and health sciences, 0302 clinical medicine, Neural Stem Cells, mental disorders, medicine, Animals, Humans, Gene Regulatory Networks, Loss function, 030304 developmental biology, Genetics, 0303 health sciences, Gene knockdown, Multidisciplinary, Gene Expression Regulation, Developmental, General Chemistry, Human brain, Chromatin Assembly and Disassembly, medicine.disease, Chromatin, DNA-Binding Proteins, medicine.anatomical_structure, Autism spectrum disorder, Gene Knockdown Techniques, Autism, 030217 neurology & neurosurgery, Transcription Factors
Abstract: Recent studies implicate chromatin modifiers in autism spectrum disorder (ASD) through the identification of recurrent de novo loss of function mutations in affected individuals. ASD risk genes are co-expressed in human midfetal cortex, suggesting that ASD risk genes converge in specific regulatory networks during neurodevelopment. To elucidate such networks, we identify genes targeted by CHD8, a chromodomain helicase strongly associated with ASD, in human midfetal brain, human neural stem cells (hNSCs) and embryonic mouse cortex. CHD8 targets are strongly enriched for other ASD risk genes in both human and mouse neurodevelopment, and converge in ASD-associated co-expression networks in human midfetal cortex. CHD8 knockdown in hNSCs results in dysregulation of ASD risk genes directly targeted by CHD8. Integration of CHD8-binding data into ASD risk models improves detection of risk genes. These results suggest loss of CHD8 contributes to ASD by perturbing an ancient gene regulatory network during human brain development., Autism genes converge in midfetal cortical co-expression networks, and chromatin regulators such as CHD8 are increasingly associated with autism spectrum disorder (ASD). Here the authors map CHD8 targets in developing brain, and find that CHD8 directly regulates other ASD risk genes during human neurodevelopment.
Published: 2015
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31. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Author: Anita Thapar, Lena Backlund, Lindsey Kent, Walter J. Muir, A. Jeremy Willsey, Sandra K. Loo, Michael Boehnke, Christa Lese Martin, Ania Korszun, Guiomar Oliveira, Veronica J. Vieland, Stephen W. Scherer, René S. Kahn, Darina Czamara, Jeremy R. Parr, Michael E. Goddard, Willem A. Nolen, Josep Antoni Ramos-Quiroga, Stephen Sanders, Karola Rehnstroem, Nelson B. Freimer, Erin N. Smith, Ann Olincy, Ingrid Melle, Myrna M. Weissman, James A. Knowles, William Byerley, Aravinda Chakravarti, Shaun Purcell, Jens Treutlein, Sebastian Zoellner, Hakon Hakonarson, Susanne Lucae, Markus M. Noethen, Ian B. Hickie, Marion Friedl, Srinivasa Thirumalai, Stephen Newhouse, Joseph Piven, Andrew M. McIntosh, Cathryn M. Lewis, Srdjan Djurovic, Francis J. McMahon, Ayman H. Fanous, Bernie Devlin, Steven A. McCarroll, Alan F. Schatzberg, Peter Szatmari, Marta Ribasés, C. Robert Cloninger, Brenda W.J.H. Penninx, Gerard van Grootheest, Phil Lee, Richard Anney, Elaine K. Green, Geraldine Dawson, Joseph A. Sergeant, Digby Quested, Magdalena Gross, Jack D. Barchas, Nicholas G. Martin, Timothy W. Yu, Jouke-Jan Hottenga, Mark Lathrop, Federica Tozzi, Martin Hautzinger, Alysa E. Doyle, Cinnamon S. Bloss, Sandra Meier, Louise Gailagher, David A. Collier, Farooq Amin, Michael C. Neale, Martin Schalling, Lieuwe de Haan, Bru Cormand, Falk W. Lohoff, Jennifer Crosbie, Howard J. Edenberg, Aarno Palotie, Johannes H. Smit, Robert Freedman, Katherine Gordon-Smith, Michele L. Pergadia, Enda M. Byrne, Hans-Christoph Steinhausen, Benjamin M. Neale, Anjali K. Henders, Michele T. Pato, Manuel Mattheisen, Urban Ösby, Edward M. Scolnick, Evaristus A. Nwulia, Fritz Poustka, Gonneke Willemsen, Andrew C. Heath, David St. Cair, Emma M. Quinn, I. Nicol Ferrier, John R. Kelsoe, Vanessa Hus, Andrew McQuillin, John P. Rice, William M. McMahon, Joseph Biederman, Danyu Lin, Wolfgang Maier, Frans G. Zitman, Josephine Elia, Nicholas J. Schork, Stéphane Jamain, Lizzy Rossin, Jubao Duan, Ingrid Agartz, Devin Absher, Jordan W. Smoller, Matthew W. State, Richard M. Myers, Shrikant Mane, Carlos N. Pato, William E. Bunney, Marian L. Hamshere, Manfred Uhr, Nicholas John Craddock, Astrid M. Vicente, Tobias Banaschewski, David Curtis, Anne Farmer, Scott D. Gordon, Anna K. Kaehler, Eric M. Morrow, Marcella Rietschel, Patrik K. E. Magnusson, Klaus-Peter Lesch, Rebecca McKinney, Jana Strohmaier, Thomas F. Wienker, Pablo V. Gejman, Douglas Blackwood, Maria Helena Pinto de Azevedo, Tiffany A. Greenwood, Don H. Linszen, Daniel L. Koller, Richard Bruggeman, Vinay Puri, Naomi R. Wray, Stanley J. Watson, Elena Maestrini, Valentina Moskvina, Frank Dudbridge, Danielle Posthuma, Edward G. Jones, Lambertus Klei, Sarah E. Bergen, Fan Meng, Steven P. Hamilton, Guy A. Rouleau, Pierandrea Muglia, Mikael Landén, Stephanie H. Witt, Laramie E. Duncan, Stanley Zammit, Judith A. Badner, Florian Holsboer, Eco J. C. de Geus, Daniel Moreno-De-Luca, Benjamin S. Pickard, Gunnar Morken, Michael Conlon O'Donovan, Michael Steffens, Kathryn Roeder, Dorret I. Boomsma, Paul D. Shilling, Stephan Ripke, Nigel Williams, Jeremy M. Silverman, David Craig, Mark J. Daly, Michael Bauer, Detelina Grozeva, Markus J. Schwarz, Peter Holmans, Hugh Gurling, T. Scott Stroup, Aribert Rothenberger, Gary Donohoe, Eric Fombonne, Joseph D. Buxbaum, Matthew Flicldnger, Bryan J. Mowry, Thomas Hansen, Ina Giegling, Grant W. Montgomery, Caroline M. Nievergelt, Susan L. Smalley, Jung-Ying Tzeng, David H. Ledbetter, Christopher A. Walsh, Gerard D. Schellenberg, Sarah E. Medland, Robert D. Oades, James B. Potash, Dan E. Arking, Johannes Schumacher, Michael Gill, James J. McGough, Jennifer L. Moran, Donald W. Black, Sian Caesar, Neelroop N. Parikshak, Ian W. Craig, Sabine M. Klauck, Wade H. Berrettini, T. Foroud, Peter P. Zandi, Inez Myin-Germeys, Marcus Ising, Sven Cichon, Alexandre A. Todorov, Mònica Bayés, Thomas Werge, Susan L. Slager, Stanley I. Shyn, Jim van Os, Derek W. Morris, Douglas M. Ruderfer, Thomas W. Muehleisen, Matthew C. Keller, Susmita Datta, Ian Jones, John B. Vincent, James L. Kennedy, Anthony P. Monaco, Jianxin Shi, Dale R. Nyholt, Bruno Etain, Christine Fraser, Paul Cormican, Miguel Casas, Radhika Kandaswamy, Gerome Breen, Stephen V. Faraone, Jonna Kuntsi, Thomas Bettecken, Witte J.G. Hoogendijk, Nancy G. Buccola, Franziska Degenhardt, Lyudmila Georgieva, Marion Leboyer, Alan R. Sanders, John Strauss, Dan Rujescu, Russell Schachar, Helena Medeiros, Lisa Jones, Peter M. Visscher, Lauren A. Weiss, René Breuer, John I. Nurnberger, Andreas Reif, Phoenix Kwan, Vihra Milanova, Chunyu Liu, Martin A. Kohli, Donald J. MacIntyre, Nicholas Bass, Khalid Choudhury, Edwin H. Cook, Catherine Lord, Andrew D. Paterson, Jobst Meyer, Richard P. Ebstein, Zhaoming Zhao, Niklas Laengstroem, Thomas G. Schulze, Peter Propping, Wei Xu, Robert C. Thompson, Kimberly Chambert, Jonathan Pimm, Ivan Nikolov, Pamela A. F. Madden, Kevin A. McGhee, Jacob Lawrence, Jan K. Buitelaar, Andres Ingason, Christine M. Freitag, Robert Krasucki, Wiepke Cahn, Rita M. Cantor, Christina M. Hultman, Melvin G. McInnis, Catalina Betancur, Eftichia Duketis, Michael T. Murtha, Thomas H. Wassink, Philip Asherson, John S. Witte, Elaine Kenny, Edmund J.S. Sonuga-Barke, Lydia Krabbendam, Line Olsen, Agatino Battaglia, Laura J. Scott, Annette M. Hartmann, Yunjung Kim, Richard O. Day, Edwin J. C. G. van den Oord, Ole A. Andreassen, Herbert Roeyers, Michael John Owen, Colm O'Dushlaine, Peng Zhang, Morten Mattingsdal, Michael L. Cuccaro, Margaret A. Pericak-Vance, Joachim Hallmayer, Jun Li, Pamela B. Mahon, Elisabeth B. Binder, William A. Scheftner, Daniel H. Geschwind, Christel M. Middeldorp, Josef Frank, Keith Matthews, Jennifer K. Lowe, Paul Lichtenstein, Verneri Anttila, Pamela Sklar, Szabocls Szelinger, Roel A. Ophoff, Peter McGuffin, Stefan Herms, Bettina Konte, George Kirov, Hilary Coon, Maria Hipolito, Louise Frisén, Kenneth S. Kendler, Frank Bellivier, James S. Sutdiffe, Jeffrey A. Lieberman, Todd Lencz, Susanne Hoefels, Alan W. McLean, Barbara Franke, Huda Akil, Soumya Raychaudhuri, Ellen M. Wijsman, Vishwajit L. Nimgaonkar, Roy H. Perlis, Patrick J. McGrath, Susan L. Santangelo, William Coryell, Henrik B. Rasmussen, Weihua Guan, William Lawson, Elliot S. Gershon, Sean Ennis, Aiden Corvin, Allan H. Young, Thomas B. Barrett, Jonathan L. Haines, Douglas F. Levinson, Ana Miranda, Anil K. Malhotra, S. Hong Lee, Stan F. Nelson, Anthony J. Bailey, Patrick F. Sullivan, Dorothy E. Grice, Lefkos T. Middleton, Bertram Mueller-Myhsok, Michael R. Barnes, Adebayo Anjorin, O'Dushlaine, C, Rossin, L, Lee, Ph, Duncan, L, Parikshak, Nn, Newhouse, S, Ripke, S, Neale, Bm, Purcell, Sm, Posthuma, D, Nurnberger, Ji, Lee, Sh, Faraone, Sv, Perlis, Rh, Mowry, Bj, Thapar, A, Goddard, Me, Witte, J, Absher, D, Agartz, I, Akil, H, Amin, F, Andreassen, Oa, Anjorin, A, Anney, R, Anttila, V, Arking, De, Asherson, P, Azevedo, Mh, Backlund, L, Badner, Ja, Bailey, Aj, Banaschewski, T, Barchas, Jd, Barnes, Mr, Barrett, Tb, Bass, N, Battaglia, A, Bauer, M, Bayés, M, Bellivier, F, Bergen, Se, Berrettini, W, Betancur, C, Bettecken, T, Biederman, J, Binder, Eb, Black, Dw, Blackwood, Dh, Bloss, C, Boehnke, M, Boomsma, Di, Breuer, R, Bruggeman, R, Cormican, P, Buccola, Ng, Buitelaar, Jk, Bunney, We, Buxbaum, Jd, Byerley, Wf, Byrne, Em, Caesar, S, Cahn, W, Cantor, Rm, Casas, M, Chakravarti, A, Chambert, K, Choudhury, K, Cichon, S, Mattheisen, M, Cloninger, Cr, Collier, Da, Cook, Eh, Coon, H, Cormand, B, Corvin, A, Coryell, Wh, Craig, Dw, Craig, Iw, Crosbie, J, Cuccaro, Ml, Curtis, D, Czamara, D, Datta, S, Dawson, G, Day, R, De Geus, Ej, Degenhardt, F, Djurovic, S, Donohoe, Gj, Doyle, Ae, Duan, J, Dudbridge, F, Duketis, E, Ebstein, Rp, Edenberg, Hj, Elia, J, Ennis, S, Etain, B, Fanous, A, Farmer, Ae, Ferrier, In, Flickinger, M, Fombonne, E, Foroud, T, Frank, J, Franke, B, Fraser, C, Freedman, R, Freimer, Nb, Freitag, Cm, Friedl, M, Frisén, L, Gallagher, L, Gejman, Pv, Georgieva, L, Gershon, E, Giegling, I, Gill, M, Gordon, Sd, Gordon-Smith, K, Green, Ek, Greenwood, Ta, Grice, De, Gross, M, Grozeva, D, Guan, W, Gurling, H, De Haan, L, Haines, Jl, Hakonarson, H, Hallmayer, J, Hamilton, Sp, Hamshere, Ml, Hansen, Tf, Hartmann, Am, Hautzinger, M, Heath, Ac, Henders, Ak, Herms, S, Hickie, Ib, Hipolito, M, Hoefels, S, Holsboer, F, Hoogendijk, Wj, Hottenga, Jj, Hultman, Cm, Hus, V, Ingason, A, Ising, M, Jamain, S, Jones, Eg, Jones, I, Jones, L, Tzeng, Jy, Kähler, Ak, Kahn, R, Kandaswamy, R, Keller, Mc, Kennedy, Jl, Kenny, E, Kent, L, Kim, Y, Kirov, Gk, Klauck, Sm, Klei, L, Knowles, Ja, Kohli, Ma, Koller, Dl, Konte, B, Korszun, A, Krabbendam, L, Krasucki, R, Kuntsi, J, Kwan, P, Landén, M, Längström, N, Lathrop, M, Lawrence, J, Lawson, Wb, Leboyer, M, Ledbetter, Dh, Lencz, T, Lesch, Kp, Levinson, Df, Lewis, Cm, Li, J, Lichtenstein, P, Lieberman, Ja, Lin, Dy, Linszen, Dh, Liu, C, Lohoff, Fw, Loo, Sk, Lord, C, Lowe, Jk, Lucae, S, Macintyre, Dj, Madden, Pa, Maestrini, E, Magnusson, Pk, Mahon, Pb, Maier, W, Malhotra, Ak, Mane, Sm, Martin, Cl, Martin, Ng, Matthews, K, Mattingsdal, M, Mccarroll, Sa, Mcghee, Ka, Mcgough, Jj, Mcgrath, Pj, Mcguffin, P, Mcinnis, Mg, Mcintosh, A, Mckinney, R, Mclean, Aw, Mcmahon, Fj, Mcmahon, Wm, Mcquillin, A, Medeiros, H, Medland, Se, Meier, S, Melle, I, Meyer, J, Middeldorp, Cm, Middleton, L, Milanova, V, Miranda, A, Monaco, A, Montgomery, Gw, Moran, Jl, Moreno-De-Luca, D, Morken, G, Morris, Dw, Morrow, Em, Moskvina, V, Muglia, P, Mühleisen, Tw, Muir, Wj, Müller-Myhsok, B, Murtha, M, Myers, Rm, Myin-Germeys, I, Neale, Mc, Nelson, Sf, Nievergelt, Cm, Nikolov, I, Nimgaonkar, V, Nolen, Wa, Nöthen, Mm, Nwulia, Ea, Nyholt, Dr, Oades, Rd, Olincy, A, Oliveira, G, Olsen, L, Ophoff, Ra, Osby, U, Owen, Mj, Palotie, A, Parr, Jr, Paterson, Ad, Pato, Cn, Pato, Mt, Penninx, Bw, Pergadia, Ml, Pericak-Vance, Ma, Pickard, B, Pimm, J, Piven, J, Potash, Jb, Poustka, F, Propping, P, Puri, V, Quested, Dj, Quinn, Em, Ramos-Quiroga, Ja, Rasmussen, Hb, Raychaudhuri, S, Rehnström, K, Reif, A, Ribasés, M, Rice, Jp, Rietschel, M, Roeder, K, Roeyers, H, Rothenberger, A, Rouleau, G, Ruderfer, D, Rujescu, D, Sanders, Ar, Sanders, Sj, Santangelo, Sl, Sergeant, Ja, Schachar, R, Schalling, M, Schatzberg, Af, Scheftner, Wa, Schellenberg, Gd, Scherer, Sw, Schork, Nj, Schulze, Tg, Schumacher, J, Schwarz, M, Scolnick, E, Scott, Lj, Shi, J, Shilling, Pd, Shyn, Si, Silverman, Jm, Slager, Sl, Smalley, Sl, Smit, Jh, Smith, En, Sonuga-Barke, Ej, St Clair, D, State, M, Steffens, M, Steinhausen, Hc, Strauss, J, Strohmaier, J, Stroup, T, Sutcliffe, J, Szatmari, P, Szelinger, S, Thirumalai, S, Thompson, Rc, Todorov, Aa, Tozzi, F, Treutlein, J, Uhr, M, van den Oord, Jc, Van Grootheest, G, Van Os, J, Vicente, A, Vieland, Vj, Vincent, Jb, Visscher, Pm, Walsh, Ca, Wassink, Th, Watson, Sj, Weissman, Mm, Werge, T, Wienker, Tf, Wijsman, Em, Willemsen, G, Williams, N, Willsey, Aj, Witt, Sh, Xu, W, Young, Ah, Yu, Tw, Zammit, S, Zandi, Pp, Zhang, P, Zitman, Fg, Zöllner, S, Devlin, B, Kelsoe, Jr, Sklar, P, Daly, Mj, O'Donovan, Mc, Craddock, N, Kendler, K, Weiss, La, Wray, Nr, Zhao, Z, Geschwind, Dh, Sullivan, Pf, Smoller, Jw, Holmans, Pa, Breen, G., Génétique de l'autisme = Genetics of Autism (NPS-01), Neuroscience Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-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 de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Human genetics, Psychiatry, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, Child and Adolescent Psychiatry / Psychology, Epidemiology, Gastroenterology & Hepatology, Hematology, University of St Andrews. School of Medicine, University of St Andrews. Institute of Behavioural and Neural Sciences, Psychiatrie & Neuropsychologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), RS: MHeNs - R2 - Mental Health, ANS - Amsterdam Neuroscience, Adult Psychiatry, Child Psychiatry, Universitat de Barcelona, Perceptual and Cognitive Neuroscience (PCN), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), 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), Complex Trait Genetics, Biological Psychology, Educational Neuroscience, Clinical Neuropsychology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, LEARN! - Social cognition and learning, LEARN! - Brain, learning and development, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, 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)-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 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)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), O'Dushlaine, Colm, Rossin, Lizzy, Lee, Phil H, Duncan, Laramie, Lee, S Hong, Breen, Gerome, International Inflammatory Bowel Disease Genetics Consortium (IIBDGC), Network and Pathway Analysis Subgroup of the Psychiatric Genomics Consortium, and Myin-Germeys, Inez
Subjects: Netherlands Twin Register (NTR), Statistical methods, Autism, Medizin, LOCI, Genome-wide association study, heritability, Genome-wide association studies, Histones, Genètica mèdica, 0302 clinical medicine, Histone methylation, Databases, Genetic, 2.1 Biological and endogenous factors, Psychology, GWAS, Aetiology, Psychiatric genetics, R2C, bipolar disorder, Psychiatry, 0303 health sciences, Disorders, Loci, Depression, General Neuroscience, Mental Disorders, Medical genetics, METHYLATION, Brain, 3rd-DAS, Serious Mental Illness, Psychiatric Disorders, 3. Good health, Histone, Mental Health, Schizophrenia, Mental Disorder, Cognitive Sciences, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Promoters, BDC, BURDEN, RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry, Human, Signal Transduction, medicine.medical_specialty, DISORDERS, Genomics, Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium, Burden, Biology, Methylation, Article, Biological pathway, PROMOTERS, 03 medical and health sciences, Databases, Genetic, medicine, Genetics, Humans, Genetic Predisposition to Disease, histone methylation, Bipolar disorder, Psiquiatria, AUTISM, 030304 developmental biology, Genetic association, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Neurology & Neurosurgery, Neuroscience (all), Human Genome, Neurosciences, medicine.disease, Brain Disorders, Good Health and Well Being, DE-NOVO MUTATIONS, Perturbações do Desenvolvimento Infantil e Saúde Mental, RC0321, Genome-wide Association Studies, De-novo mutations, major depression, Neuroscience, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: G.B. and S.N. acknowledge funding support for this work from the National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. P.H.L. is supported by US National Institute of Mental Health (NIMH) grant K99MH101367. Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders. Postprint
Published: 2015
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32. Characterizing runs of homozygosity and their impact on risk for psychosis in a population isolate

Author: Frank A. Middleton, Shawn Wood, Kathryn Roeder, Cara Dresbold, Lambertus Klei, Nadine M. Melhem, Victor Yano, William Byerley, Cong Lu, Stephen V. Faraone, Marina Myles-Worsley, Sophia Vinogradov, Josepha Tiobech, and Bernie Devlin
Subjects: Psychosis, Palau, Clinical Sciences, Population, Locus (genetics), Runs of Homozygosity, Biology, Polymorphism, Single Nucleotide, Article, Cellular and Molecular Neuroscience, Clinical Research, Risk Factors, Genetics, medicine, 2.1 Biological and endogenous factors, Humans, Genetic Predisposition to Disease, psychosis, Polymorphism, Aetiology, education, Genetics (clinical), Alleles, education.field_of_study, Genome, Genome, Human, ROH, Homozygote, Neurosciences, Single Nucleotide, medicine.disease, Brain Disorders, schizophrenia, Psychiatry and Mental health, Mental Health, Haplotypes, Psychotic Disorders, Case-Control Studies, homozygosity, Human, Demography
Abstract: An increased abundance of runs of homozygosity (ROH) has been associated with risk for various diseases, including schizophrenia. Here we investigate the characteristics of ROH in Palau, an Oceanic population, evaluating whether these characteristics are related to risk for psychotic disorders and the nature of this association. To accomplish these aims we evaluate a sample of 203 cases with schizophrenia and related psychotic disorders-representing almost complete ascertainment of affected individuals in the population-and contrast their ROH to that of 125 subjects chosen to function as controls. While Palauan diagnosed with psychotic disorders tend to have slightly more ROH regions than controls, the distinguishing features are that they have longer ROH regions, greater total length of ROH, and their ROH tends to co-occur more often at the same locus. The nature of the sample allows us to investigate whether rare, highly penetrant recessive variants generate such case-control differences in ROH. Neither rare, highly penetrant recessive variants nor individual common variants of large effect account for a substantial proportion of risk for psychosis in Palau. These results suggest a more nuanced model for risk is required to explain patterns of ROH for this population.
Published: 2014

33. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

Author: Laura J. Scott, Bernie Devlin, Steven A. McCarroll, James S. Sutcliffe, Stefan Herms, Yunjung Kim, Richard O. Day, Thomas F. Wienker, Frank Dudbridge, I. Nicol Ferrier, Bettina Konte, Marta Ribasés, C. Robert Cloninger, Brenda W.J.H. Penninx, Detelina Grozeva, Herbert Roeyers, Peter Holmans, Colm O'Dushlaine, Scott D. Gordon, Sarah E. Bergen, Fan Meng, Morten Mattingsdal, Hugh Gurling, Ina Giegling, Gerard van Grootheest, Ania Korszun, Markus J. Schwarz, George Kirov, Sebastian Zöllner, Kenneth S. Kendler, Nicholas G. Martin, Michael Conlon O'Donovan, Michael C. Neale, Jim van Os, Aravinda Chakravarti, Timothy W. Yu, Mikael Landén, Inez Myin-Germeys, Markus M. Nöthen, Kathryn Roeder, James B. Potash, Alan W. McLean, Louise Gallagher, Anna K. Kähler, Thomas Bettecken, Nigel Williams, Frank Bellivier, Joseph D. Buxbaum, Derek W. Morris, Susan L. Smalley, Jung-Ying Tzeng, Martin Schalling, Douglas M. Ruderfer, Caroline M. Nievergelt, T. Scott Stroup, David H. Ledbetter, Jennifer Crosbie, Anita Thapar, Barbara Franke, Jeffrey A. Lieberman, Huda Akil, Miguel Casas, Daniel H. Geschwind, Paul Cormican, Bertram Müller-Myhsok, Lyudmila Georgieva, Robert Krasucki, Martin Hautzinger, Alysa E. Doyle, Cinnamon S. Bloss, Gerard D. Schellenberg, Todd Lencz, Melvin G. McInnis, Catalina Betancur, Josep Antoni Ramos-Quiroga, Stephen Sanders, Eftichia Duketis, Don H. Linszen, Matthew W. State, Richard M. Myers, Soumya Raychaudhuri, Lizzy Rossin, Howard J. Edenberg, Michael E. Goddard, S. Hong Lee, Elisabeth B. Binder, Pablo V. Gejman, William A. Scheftner, Wolfgang Maier, Judith A. Badner, Christel M. Middeldorp, Maria Helena Pinto de Azevedo, Johannes H. Smit, Willem A. Nolen, Lieuwe de Haan, Gonneke Willemsen, Keith Matthews, Ellen M. Wijsman, Jennifer K. Lowe, Rebecca McKinney, Magdalena Gross, Dorothy E. Grice, James A. Knowles, Andrew C. Heath, Jana Strohmaier, Vishwajit L. Nimgaonkar, William Byerley, William E. Bunney, Dan E. Arking, Andrew McQuillin, William M. McMahon, Manuel Mattheisen, Hans-Christoph Steinhausen, Joseph Biederman, Guy A. Rouleau, James J. McGough, Sian Caesar, Edward M. Scolnick, Lefkos T. Middleton, Jack D. Barchas, Ian B. Hickie, Danyu Lin, Patrik K. E. Magnusson, Douglas Blackwood, Francis J. McMahon, Ingrid Agartz, Elena Maestrini, Marian L. Hamshere, Lindsey Kent, Walter J. Muir, Stephan Ripke, Lydia Krabbendam, Christine Fraser, Maria Hipolito, Louise Frisén, Eric Fombonne, Emma M. Quinn, Michael Bauer, Richard P. Ebstein, Michael Steffens, Jordan W. Smoller, Stanley J. Watson, Michael Boehnke, Philip Asherson, Agatino Battaglia, Elliot S. Gershon, Russell Schachar, Marcus Ising, Peng Zhang, Margaret A. Pericak-Vance, Joachim Hallmayer, Sean Ennis, Radhika Kandaswamy, René S. Kahn, Susanne Hoefels, Thomas W. Mühleisen, Pamela Sklar, Paul Lichtenstein, Verneri Anttila, Michael L. Cuccaro, Florian Holsboer, René Breuer, Eric M. Morrow, Vinay Puri, Naomi R. Wray, Szabocls Szelinger, Sabine M. Klauck, John B. Vincent, Shrikant Mane, Aribert Rothenberger, Marion Friedl, Ian Jones, Khalid Choudhury, Michael R. Barnes, Adebayo Anjorin, Edwin H. Cook, William Lawson, Allan H. Young, Lambertus Klei, Bryan J. Mowry, Johannes Schumacher, Michael Gill, James L. Kennedy, Marcella Rietschel, Aiden Corvin, Henrik B. Rasmussen, Susmita Datta, Kimberly Chambert, Daniel Moreno-De-Luca, Benjamin S. Pickard, Stan F. Nelson, Veronica J. Vieland, Stephen W. Scherer, Peter M. Visscher, John Strauss, Andreas Reif, Andrew D. Paterson, Ann Olincy, Phoenix Kwan, Anthony J. Bailey, Patrick F. Sullivan, Pierandrea Muglia, Gunnar Morken, Susanne Lucae, Ayman H. Fanous, Jacob Lawrence, Donald J. MacIntyre, Nancy G. Buccola, Rita M. Cantor, Christina M. Hultman, Weihua Guan, Anthony P. Monaco, Jouke-Jan Hottenga, Elaine Kenny, Jianxin Shi, Dale R. Nyholt, Kevin A. McGhee, Falk W. Lohoff, Jonna Kuntsi, Niklas Långström, John I. Nurnberger, Nelson B. Freimer, Erin N. Smith, John P. Rice, Michael T. Murtha, Thomas H. Wassink, Alexandre A. Todorov, Edmund J.S. Sonuga-Barke, Dan Rujescu, Roy H. Perlis, John S. Witte, Christopher A. Walsh, Matthew C. Keller, Pamela B. Mahon, Patrick J. McGrath, Susan L. Santangelo, Annette M. Hartmann, Ole A. Andreassen, Tatiana Foroud, Shaun Purcell, Josef Frank, Douglas F. Levinson, William Coryell, Ana Miranda, Alan F. Schatzberg, Peter Szatmari, Jun Li, Gerome Breen, Stephen V. Faraone, Anil K. Malhotra, Helena Medeiros, Martin A. Kohli, Nicholas Bass, Catherine Lord, Peter Propping, Wei Xu, Federica Tozzi, Ivan Nikolov, Jan K. Buitelaar, Thomas G. Schulze, Katherine Gordon-Smith, Michele L. Pergadia, Fritz Poustka, Valentina Moskvina, David Curtis, Tobias Banaschewski, Devin Absher, Danielle Posthuma, Stanley Zammit, Gary Donohoe, Ingrid Melle, Karola Rehnström, Thomas Hansen, Myrna M. Weissman, Stanley I. Shyn, Hakon Hakonarson, Christa Lese Martin, Digby Quested, Darina Czamara, Jeremy R. Parr, Pamela A. F. Madden, Jens Treutlein, Aarno Palotie, Robert Freedman, Sandra Meier, Bru Cormand, Nicholas J. Schork, Michele T. Pato, John R. Kelsoe, Vanessa Hus, Frans G. Zitman, Josephine Elia, David St Clair, Roel A. Ophoff, Peter McGuffin, Jonathan Pimm, Jonathan L. Haines, Wiepke Cahn, Matthew Flickinger, Steven P. Hamilton, Michael John Owen, Paul D. Shilling, Jeremy M. Silverman, David Craig, Mark J. Daly, Sarah E. Medland, Robert D. Oades, Marion Leboyer, Alan R. Sanders, Vihra Milanova, Chunyu Liu, Jobst Meyer, Dorret I. Boomsma, Evaristus A. Nwulia, Thomas B. Barrett, Jennifer L. Moran, Donald W. Black, Mònica Bayés, Witte J.G. Hoogendijk, Franziska Degenhardt, Benjamin M. Neale, Daniel L. Koller, Carlos N. Pato, Nicholas John Craddock, Richard Bruggeman, Enda M. Byrne, Edward G. Jones, Eco J. C. de Geus, Stéphane Jamain, Jubao Duan, Anne Farmer, Astrid M. Vicente, Grant W. Montgomery, Thomas Werge, Cathryn M. Lewis, Srdjan Djurovic, Phil Lee, Richard Anney, Elaine K. Green, Wade H. Berrettini, Peter P. Zandi, Susan L. Slager, Stephanie H. Witt, Ian W. Craig, Lisa Jones, Sven Cichon, Bruno Etain, Mark Lathrop, Hilary Coon, Robert C. Thompson, Lena Backlund, A. Jeremy Willsey, Andres Ingason, Christine M. Freitag, Sandra K. Loo, Guiomar Oliveira, Line Olsen, Edwin J. C. G. van den Oord, Geraldine Dawson, Joseph A. Sergeant, David A. Collier, Farooq Amin, Srinivasa Thirumalai, Manfred Uhr, Joseph Piven, Andrew M. McIntosh, Anjali K. Henders, Urban Ösby, Klaus-Peter Lesch, Tiffany A. Greenwood, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Lee, S Hong, Ripke, Stephan, Neale, Benjamin M, Faraone, Stephen V, Wray, Naomi R, Cross-Disorder Group of the Psychiatric Genomics Consortium, International Inflammatory Bowel Disease Genetics Consortium (IIBDGC), Queensland Brain Institute, University of Queensland [Brisbane], Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], SUNY Upstate Medical University, State University of New York (SUNY), Mount Sinai School of Medicine, Department of Psychiatry-Icahn School of Medicine at Mount Sinai [New York] (MSSM), Psychiatric and Neurodevelopmental Genetics Unit, Queensland Centre for Mental Health Research, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, MRC Centre for Neuropsychiatric Genetics and Genomics, Medical Research Council (MRC)-School of Medicine [Cardiff], Cardiff University-Institute of Medical Genetics [Cardiff]-Cardiff University-Institute of Medical Genetics [Cardiff], New South Wales Department of Primary Industries (NSW DPI), Faculty of Land and Food Resources, University of Melbourne, HudsonAlpha Institute for Biotechnology [Huntsville, AL], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Diakonhjemmet Hospital, University of Michigan [Ann Arbor], University of Michigan System, Molecular and Behavioral Neuroscience Institute (MBNI), University of Michigan System-University of Michigan System, Emory University [Atlanta, GA], Oslo University Hospital [Oslo], University College of London [London] (UCL), Trinity College Dublin, Johns Hopkins University School of Medicine [Baltimore], MRC Social Genetic Developmental and Psychiatry Centre, Institute of Psychiatry, King's College London, University of Coimbra [Portugal] (UC), Karolinska Institutet [Stockholm], University of Chicago, University of British Columbia (UBC), Department of Child and Adolescent Psychiatry and Psychotherapy [Mannheim], Universität Heidelberg [Heidelberg] = Heidelberg University, Weill Medical College of Cornell University [New York], GlaxoSmithKline, Glaxo Smith Kline, Portland Veterans Administration Medical Center, Windeyer Institute for Medical Sciences, IRCCS Fondazione Stella Maris [Pisa], University Hospital Carl Gustav Carus [Dresden, Germany], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Centro Nacional de Analisis Genomico [Barcelona] (CNAG), Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Diderot - Paris 7 (UPD7), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), European Network of Bipolar Research Expert Centres (ENBREC), ENBREC, Department of Psychiatry [Philadelphia], University of Pennsylvania, Physiopathologie des Maladies du Système Nerveux Central, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Unité de recherche Phytopharmacie et Médiateurs Chimiques (UPMC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Massachusetts General Hospital [Boston, MA, USA], University of Iowa [Iowa City], University of Edinburgh, Royal Hospital for Sick Children [Edinburgh], The Scripps Research Institute [La Jolla, San Diego], MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London-The Institute of Psychiatry, Institute of Medical Sciences, University of Aberdeen, Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London, Department of Genetic Epidemiology in Psychiatry [Mannhein], Universität Heidelberg [Heidelberg] = Heidelberg University-Central Institute of Mental Health Mannheim, Department of Psychiatry, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG), Trinity College Dublin-St. James's Hospital, School of Nursing, Louisiana State University (LSU), Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud University [Nijmegen]-Radboud University [Nijmegen], Department of Psychiatry and Human Behavior, University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), Friedman Brain Institute, Mount Sinai, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Seaver Autism Center for Research and Treatment, Department of Neuroscience, Departments of Psychiatry, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai [New York] (MSSM)-Seaver Autism Center-, The Mindich Child Health & Development Institute, Friedman Brain Institute, The Mindich Child Health and Development Institute, University of California [San Francisco] (UC San Francisco), Department of Psychiatry, School of Clinical and Experimental Medicine, University of Alabama at Birmingham [ Birmingham] (UAB), Department of Human Genetics, Los Angeles, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC)-University of California [Los Angeles] (UCLA), McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Stanley Center for Psychiatric Research, Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Mental Health Sciences Unit, Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Institute of Human Genetics, Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Academic Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Department of Disability and Human Development, University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Department of Developmental Neuroscience, Neuropsychiatric Genetics Research Group, University of California [San Diego] (UC San Diego), John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], East London NHS Foundation Trust, Queen Mary University of London (QMUL), Max-Planck-Institut für Psychiatrie, Genetics Institute, Autism Speaks and the Department of Psychiatry, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), School of Neurology, Neurobiology and Psychiatry, Royal Victoria Infirmary, Medstar Research Institute, KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Deparment of Medical Genetics, Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Department of Psychiatry and Behavioral Sciences, University of Chicago-NorthShore University Health System, Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, Psychology Department, National University of Singapore (NUS), Department of Biochemistry and Molecular Biology, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indiana University System-Indiana University System, Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University (VCU), University of Dundee School of Medicine, University of Dundee, Department of Biostatistics and Center for Statistical Genetics, University of Michigan System-University of Michigan System-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Department of Child Psychiatry, McGill University = Université McGill [Montréal, Canada]-Montreal Children's Hospital, McGill University Health Center [Montreal] (MUHC)-McGill University Health Center [Montreal] (MUHC), Howard University College of Medicine, University of Colorado [Denver], Center for Neurobehavioral Genetics, Department of Genomics, Department of Molecular Medicine, Department of Neurology, University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], Medical Research Council-Cardiff University, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Fisico-Quimica Biologica, Universidade Federal do Rio de Janeiro (UFRJ), Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania-University of Pennsylvania-Children’s Hospital of Philadelphia (CHOP ), The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Institute for Human Genetics, Neurosciences Centre of Excellence in Drug Discovery, GlaxoSmithKline Research and Development, Center for Genomic Medicine, Copenhagen University Hospital-Rigshospitalet [Copenhagen], Copenhagen University Hospital, Department of Clinical and Developmental Psychology, Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Clinical Research Unit, Brain & Mind Research Institute-The University of Sydney, Functional Genomics, Neuronal Plasticity / Mouse Behaviour, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Department of Medical Epidemiology and Biostatistics (MEB), Autism and Communicative Disorders Centre, Center for Human Genetic Research, Center for neuroscience-University of California [Davis] (UC Davis), Bioinformatics Research Center, North Carolina State University [Raleigh] (NC State), Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU), Emory University [Atlanta, GA]-Atlanta Veterans Affairs Medical Center, Psychiatric Neurogenetics Section, Centre for Addiction and Mental Health, School of Medicine, University of St Andrews [Scotland], Institute of Human Genetics [Erlangen, Allemagne], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Ecology and Evolutionary Biology, Insitute of Neuroscience and Physiology, University of Gothenburg (GU), Institut de Génomique d'Evry (IG), Université Paris-Saclay-Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Developmental Brain and Behaviour Unit, University of Southampton, Division of Psychiatric Genomics, Rheinische Friedrich-Wilhelms-Universität Bonn, Statistical Genetics Group, Department of Human Genetics, Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Department of Psychiatry and Psychotherapy, Department of Mental Health, Johns Hopkins University and Hospital, W.M. Keck Biotechnology Resource Laboratory, Yale University [New Haven], Institutes of Neuroscience and Health and Society, Newcastle University [Newcastle], Genetic Epidemiology Unit, Queensland Institute of Medical Research, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], Sorlandet Hospital HF, Division of Psychiatry, University of Edinburgh-Royal Edinburgh Hospital, Medical Genetics Section, University of Edinburgh-Western General Hospital, Unit on the Genetic Basis of Mood and Anxiety Disorders, National Institutes of Health [Bethesda] (NIH), Unidade de Neurodesenvolvimento e Autismo (UNDA), Hospital Pediatrico de Coimbra, Division of Mental Health and Addiction, Molecular Psychiatry Laboratory, University of Michigan System-University of Michigan System-Molecular and Behavioral Neuroscience Institute, Research and Development, First Psychiatric Clinic-Alexander University Hospital, Registo Oncológico Regional-Sul, Instituto Português de Oncologia de Francisco Gentil, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford, St. Olav's Hospital, Brown University, Department of Molecular Biology, Cell Biology and Biochemistry, Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig-Universität Leipzig, Human Genetics Department, University of Pittsburgh (PITT), Institute for Biomedical Imaging and Life Science, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Head of Medical Sequencing, Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, The Centre for Applied Genomics, Toronto, The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, Carolina Institute for Developmental Disabilities, Analytic and Translational Genetics Unit, Rush University Medical Center [Chicago], Julius-Maximilians-Universität Würzburg (JMU), Washington University in Saint Louis (WUSTL), Department of Statistics, Carnegie Mellon University [Pittsburgh] (CMU), Department of Experimental Clinical and Health Psychology, Universiteit Gent = Ghent University (UGENT), Department of Child and Adolescent Psychiatry, Georg-August-University = Georg-August-Universität Göttingen, Department of Medicine, Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CR CHUM), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM)-Université de Montréal (UdeM)-Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM)-Université de Montréal (UdeM), Departments of Psychiatry and Genetics, Yale School of Medicine [New Haven, Connecticut] (YSM), Maine Medical Center, Free University of Amsterdam, Department of Psychiatry and Behavioral Sciences [Stanford], Pathology and Laboratory Medicine, The Scripps Translational Science Institute and The Scripps Research Institute, Psychiatric Center Nordbaden, Division of Cancer Epidemiology and Genetics, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), The Scripps Translational Science Institute and Scripps Health, Child and Adolescent Psychiatry, Aarhus University Hospital, Molecular Neuropsychiatry and Development Laboratory, Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, The Translational Genomics Research Institute (TGen), Oxford Health NHS Foundation Trust, Marlborough House Secure Unit, Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), BioFIG, Center for Biodiversity, Functional and Integrative Genomics, Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, University of Toronto, Diamantina Institute, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Departments of Biostatistics and Medicine, University of Washington [Seattle], ArcelorMittal Maizières Research SA, ArcelorMittal, Institute of Mental Health, Johns Hopkins Bloomberg School of Public Health [Baltimore], Johns Hopkins University (JHU)-Johns Hopkins University (JHU), Psychiatrie & Neuropsychologie, Farmacologie en Toxicologie, RS: CARIM School for Cardiovascular Diseases, RS: MHeNs School for Mental Health and Neuroscience, Biological Psychology, Educational Neuroscience, Clinical Neuropsychology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, LEARN! - Social cognition and learning, Biophotonics and Medical Imaging, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, LEARN! - Brain, learning and development, EMGO+ - Mental Health, LEARN!, Neuroscience Campus Amsterdam - Brain Imaging Technology, LaserLaB - Biophotonics and Microscopy, State University of New York (SUNY)-State University of New York (SUNY), Department of Neuroscience and Physiology, Faculty of Land and Environment, Biosciences Research Division, Department of Environment and Primary Industries Victoria, Department of Epidemiology and Biostatistics, University of California [San Francisco] (UCSF), University of California-University of California, Universität Heidelberg [Heidelberg], Cornell University [New York]-Weill Medical College of Cornell University [New York], Bioinformatics, Internal Medicine, Portland Va Medical Center : Ganzini Linda MD, Technische Universität Dresden = Dresden University of Technology (TU Dresden)-University Hospital Carl Gustav Carus, Centro Nacional de Análisis Genómico (CNAG), Parc Científic de Barcelona (PCB), University of Pennsylvania [Philadelphia], Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Division Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Universität Heidelberg [Heidelberg]-Central Institute of Mental Health Mannheim, Radboud university [Nijmegen]-Radboud university [Nijmegen], University of California [Irvine] (UCI), University of California-University of California-University of California [Los Angeles] (UCLA), University of Bonn, University of California-University of California-David Geffen School of Medicine [Los Angeles], Cardiff University-Medical Research Council, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Bureau d'Économie Théorique et Appliquée (BETA), Institut National de la Recherche Agronomique (INRA)-Université de Strasbourg (UNISTRA)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie François JACOB (JACOB), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, University of Oxford [Oxford], Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), Universiteit Gent = Ghent University [Belgium] (UGENT), University of Göttingen - Georg-August-Universität Göttingen, Yale University School of Medicine, Georg-August-University [Göttingen], ANS - Amsterdam Neuroscience, Adult Psychiatry, Child Psychiatry, Psychiatry, Human genetics, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, Mowry BJ, Thapar A, Goddard ME, Witte JS, Absher D, Agartz I, Akil H, Amin F, Andreassen OA, Anjorin A, Anney R, Anttila V, Arking DE, Asherson P, Azevedo MH, Backlund L, Badner JA, Bailey AJ, Banaschewski T, Barchas JD, Barnes MR, Barrett TB, Bass N, Battaglia A, Bauer M, Bayés M, Bellivier F, Bergen SE, Berrettini W, Betancur C, Bettecken T, Biederman J, Binder EB, Black DW, Blackwood DH, Bloss CS, Boehnke M, Boomsma DI, Breen G, Breuer R, Bruggeman R, Cormican P, Buccola NG, Buitelaar JK, Bunney WE, Buxbaum JD, Byerley WF, Byrne EM, Caesar S, Cahn W, Cantor RM, Casas M, Chakravarti A, Chambert K, Choudhury K, Cichon S, Cloninger CR, Collier DA, Cook EH, Coon H, Cormand B, Corvin A, Coryell WH, Craig DW, Craig IW, Crosbie J, Cuccaro ML, Curtis D, Czamara D, Datta S, Dawson G, Day R, De Geus EJ, Degenhardt F, Djurovic S, Donohoe GJ, Doyle AE, Duan J, Dudbridge F, Duketis E, Ebstein RP, Edenberg HJ, Elia J, Ennis S, Etain B, Fanous A, Farmer AE, Ferrier IN, Flickinger M, Fombonne E, Foroud T, Frank J, Franke B, Fraser C, Freedman R, Freimer NB, Freitag CM, Friedl M, Frisén L, Gallagher L, Gejman PV, Georgieva L, Gershon ES, Geschwind DH, Giegling I, Gill M, Gordon SD, Gordon-Smith K, Green EK, Greenwood TA, Grice DE, Gross M, Grozeva D, Guan W, Gurling H, De Haan L, Haines JL, Hakonarson H, Hallmayer J, Hamilton SP, Hamshere ML, Hansen TF, Hartmann AM, Hautzinger M, Heath AC, Henders AK, Herms S, Hickie IB, Hipolito M, Hoefels S, Holmans PA, Holsboer F, Hoogendijk WJ, Hottenga JJ, Hultman CM, Hus V, Ingason A, Ising M, Jamain S, Jones EG, Jones I, Jones L, Tzeng JY, Kähler AK, Kahn RS, Kandaswamy R, Keller MC, Kennedy JL, Kenny E, Kent L, Kim Y, Kirov GK, Klauck SM, Klei L, Knowles JA, Kohli MA, Koller DL, Konte B, Korszun A, Krabbendam L, Krasucki R, Kuntsi J, Kwan P, Landén M, Långström N, Lathrop M, Lawrence J, Lawson WB, Leboyer M, Ledbetter DH, Lee PH, Lencz T, Lesch KP, Levinson DF, Lewis CM, Li J, Lichtenstein P, Lieberman JA, Lin DY, Linszen DH, Liu C, Lohoff FW, Loo SK, Lord C, Lowe JK, Lucae S, MacIntyre DJ, Madden PA, Maestrini E, Magnusson PK, Mahon PB, Maier W, Malhotra AK, Mane SM, Martin CL, Martin NG, Mattheisen M, Matthews K, Mattingsdal M, McCarroll SA, McGhee KA, McGough JJ, McGrath PJ, McGuffin P, McInnis MG, McIntosh A, McKinney R, McLean AW, McMahon FJ, McMahon WM, McQuillin A, Medeiros H, Medland SE, Meier S, Melle I, Meng F, Meyer J, Middeldorp CM, Middleton L, Milanova V, Miranda A, Monaco AP, Montgomery GW, Moran JL, Moreno-De-Luca D, Morken G, Morris DW, Morrow EM, Moskvina V, Muglia P, Mühleisen TW, Muir WJ, Müller-Myhsok B, Murtha M, Myers RM, Myin-Germeys I, Neale MC, Nelson SF, Nievergelt CM, Nikolov I, Nimgaonkar V, Nolen WA, Nöthen MM, Nurnberger JI, Nwulia EA, Nyholt DR, O'Dushlaine C, Oades RD, Olincy A, Oliveira G, Olsen L, Ophoff RA, Osby U, Owen MJ, Palotie A, Parr JR, Paterson AD, Pato CN, Pato MT, Penninx BW, Pergadia ML, Pericak-Vance MA, Pickard BS, Pimm J, Piven J, Posthuma D, Potash JB, Poustka F, Propping P, Puri V, Quested DJ, Quinn EM, Ramos-Quiroga JA, Rasmussen HB, Raychaudhuri S, Rehnström K, Reif A, Ribasés M, Rice JP, Rietschel M, Roeder K, Roeyers H, Rossin L, Rothenberger A, Rouleau G, Ruderfer D, Rujescu D, Sanders AR, Sanders SJ, Santangelo SL, Sergeant JA, Schachar R, Schalling M, Schatzberg AF, Scheftner WA, Schellenberg GD, Scherer SW, Schork NJ, Schulze TG, Schumacher J, Schwarz M, Scolnick E, Scott LJ, Shi J, Shilling PD, Shyn SI, Silverman JM, Slager SL, Smalley SL, Smit JH, Smith EN, Sonuga-Barke EJ, St Clair D, State M, Steffens M, Steinhausen HC, Strauss JS, Strohmaier J, Stroup TS, Sutcliffe JS, Szatmari P, Szelinger S, Thirumalai S, Thompson RC, Todorov AA, Tozzi F, Treutlein J, Uhr M, van den Oord EJ, Van Grootheest G, Van Os J, Vicente AM, Vieland VJ, Vincent JB, Visscher PM, Walsh CA, Wassink TH, Watson SJ, Weissman MM, Werge T, Wienker TF, Wijsman EM, Willemsen G, Williams N, Willsey AJ, Witt SH, Xu W, Young AH, Yu TW, Zammit S, Zandi PP, Zhang P, Zitman FG, Zöllner S, Devlin B, Kelsoe JR, Sklar P, Daly MJ, O'Donovan MC, Craddock N, Sullivan PF, Smoller JW, Kendler KS, Wray NR, Cardiff University-Medical Research Council (MRC), HudsonAlpha Institute for Biotechnology, The Institute of Psychiatry-King‘s College London, Cornell University-Weill Medical College of Cornell University [New York], Stanford University Medical School, Technische Universität Dresden (TUD)-University Hospital Carl Gustav Carus, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, McGill University-Montreal Children's Hospital, Universidade Federal do Rio de Janeiro [Rio de Janeiro] (UFRJ), Stanford University School of Medicine [Stanford], Stanford University [Stanford], Eberhard Karls Universität Tübingen, Friedrich Alexander University [Erlangen-Nürnberg], Università di Bologna [Bologna] (UNIBO), University of Toronto-The Hospital for Sick Children-Department of Molecular Genetics-McLaughlin Centre, Washington University School of Medicine, Ghent University [Belgium] (UGENT), University of Goettingen, CHUM Research Center, Psychiatry and Behavioral Science, Stanford University School of Medicine [CA, USA], Aalborg Psychiatric Hospital, Aarhus University Hospital, Washington University in St Louis, Instituto Nacional de Saude Dr Ricardo Jorge, Oades, Robert D., Guellaen, Georges, Medical Oncology, Epidemiology, Child and Adolescent Psychiatry / Psychology, and Hematology
Subjects: Netherlands Twin Register (NTR), Medizin, Inheritance Patterns, Social Sciences, AUTISM SPECTRUM DISORDERS, nosology, heritability, COMMON SNPS, 0302 clinical medicine, Crohn Disease, SCHIZOPHRENIA, Child, Psychiatric genetics, Genetics & Heredity, MAJOR DEPRESSIVE DISORDER, RISK, 0303 health sciences, ATTENTION-DEFICIT/HYPERACTIVITY DISORDER, 120 000 Neuronal Coherence, Mental Disorders, Variants, BIPOLAR DISORDER, ASSOCIATION, Genomic disorders and inherited multi-system disorders [DCN PAC - Perception action and control IGMD 3], Psychiatric Disorders, CROHNS-DISEASE, 3. Good health, Schizophrenia, genetic association study, Medical genetics, Major depressive disorder, SNPs, Adult, medicine.medical_specialty, genetic etiology, medical genetics, DEFICIT HYPERACTIVITY DISORDER, Biology, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Article, Genomic disorders and inherited multi-system disorders DCN MP - Plasticity and memory [IGMD 3], Heritability, Genetic Heterogeneity, 03 medical and health sciences, Prevalence of mental disorders, mental disorders, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Genetics, medicine, ddc:61, Humans, Attention deficit hyperactivity disorder, Genetic Predisposition to Disease, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, DCN PAC - Perception action and control NCEBP 9 - Mental health, ddc:610, Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Bipolar disorder, Psychiatry, 030304 developmental biology, Depressive Disorder, Major, Genome, Human, Genetic heterogeneity, medicine.disease, schizophrenia, Attention Deficit Disorder with Hyperactivity, Child Development Disorders, Pervasive, Perturbações do Desenvolvimento Infantil e Saúde Mental, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: AM Vicente - Cross-Disorder Group of the Psychiatric Genomics Consortium Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
Published: 2013
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34. Refining genetically inferred relationships using treelet covariance smoothing

Author: Bernie Devlin, Kathryn Roeder, Andrew Crossett, Ann B. Lee, and Lambertus Klei
Subjects: FOS: Computer and information sciences, Statistics and Probability, Covariance estimation, Population, heritability, Statistics - Applications, 01 natural sciences, Article, 010104 statistics & probability, 03 medical and health sciences, Statistics, Additive genetic effects, Applications (stat.AP), 0101 mathematics, education, kinship, 030304 developmental biology, Mathematics, 0303 health sciences, education.field_of_study, Covariance, Heritability, Random effects model, Quantitative Biology::Genomics, Modeling and Simulation, Trait, genome-wide association, Pairwise comparison, Statistics, Probability and Uncertainty, cryptic relatedness, Smoothing
Abstract: Recent technological advances coupled with large sample sets have uncovered many factors underlying the genetic basis of traits and the predisposition to complex disease, but much is left to discover. A common thread to most genetic investigations is familial relationships. Close relatives can be identified from family records, and more distant relatives can be inferred from large panels of genetic markers. Unfortunately these empirical estimates can be noisy, especially regarding distant relatives. We propose a new method for denoising genetically - inferred relationship matrices by exploiting the underlying structure due to hierarchical groupings of correlated individuals. The approach, which we call Treelet Covariance Smoothing, employs a multiscale decomposition of covariance matrices to improve estimates of pairwise relationships. On both simulated and real data, we show that smoothing leads to better estimates of the relatedness amongst distantly related individuals. We illustrate our method with a large genome-wide association study and estimate the "heritability" of body mass index quite accurately. Traditionally heritability, defined as the fraction of the total trait variance attributable to additive genetic effects, is estimated from samples of closely related individuals using random effects models. We show that by using smoothed relationship matrices we can estimate heritability using population-based samples. Finally, while our methods have been developed for refining genetic relationship matrices and improving estimates of heritability, they have much broader potential application in statistics. Most notably, for error-in-variables random effects models and settings that require regularization of matrices with block or hierarchical structure., Comment: Published in at http://dx.doi.org/10.1214/12-AOAS598 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Published: 2013

35. Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism

Author: Kathryn Roeder, Shrikant Mane, Abha R. Gupta, Stephen Sanders, Leon Lin, Xuming Xu, Jeremy A. Miller, Michael T. Murtha, Andrew T.N. Tebbenkamp, Wenzhong Liu, Justin Cotney, James P. Noonan, Bernie Devlin, Wei Niu, Nenad Sestan, Ed S. Lein, A. Gulhan Ercan-Sencicek, Candace Bichsel, Mingfeng Li, Wenqi Han, Ying Zhu, Jake Gockley, Xin He, Lambertus Klei, Matthew W. State, Cong Lu, Shan Dong, A. Jeremy Willsey, Jing Lei, Sofia Fertuzinhos, Li Liu, Liping Wei, Rebecca A. Muhle, Ellen J. Hoffman, and Steven K. Reilly
Subjects: Male, Autism, Genome-wide association study, Medical and Health Sciences, Mice, 0302 clinical medicine, 2.1 Biological and endogenous factors, Exome, Aetiology, Genetics, Pediatric, Neurons, 0303 health sciences, Brain, Biological Sciences, Phenotype, Mental Health, Autism spectrum disorder, Neurological, Female, Sequence Analysis, Cell type, Child Development Disorders, Intellectual and Developmental Disabilities (IDD), Prefrontal Cortex, Biology, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Fetus, Clinical Research, mental disorders, medicine, Animals, Humans, Genetic Predisposition to Disease, Gene, 030304 developmental biology, Pervasive, Biochemistry, Genetics and Molecular Biology(all), Gene Expression Profiling, Human Genome, Neurosciences, DNA, Sequence Analysis, DNA, medicine.disease, Brain Disorders, Gene expression profiling, Child Development Disorders, Pervasive, Mutation, Neuroscience, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract: Summary Autism spectrum disorder (ASD) is a complex developmental syndrome of unknown etiology. Recent studies employing exome- and genome-wide sequencing have identified nine high-confidence ASD (hcASD) genes. Working from the hypothesis that ASD-associated mutations in these biologically pleiotropic genes will disrupt intersecting developmental processes to contribute to a common phenotype, we have attempted to identify time periods, brain regions, and cell types in which these genes converge. We have constructed coexpression networks based on the hcASD "seed" genes, leveraging a rich expression data set encompassing multiple human brain regions across human development and into adulthood. By assessing enrichment of an independent set of probable ASD (pASD) genes, derived from the same sequencing studies, we demonstrate a key point of convergence in midfetal layer 5/6 cortical projection neurons. This approach informs when, where, and in what cell types mutations in these specific genes may be productively studied to clarify ASD pathophysiology.
Published: 2013

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

Author: Stephen Sanders, Dorothy E. Grice, Timothy W. Yu, Catherine Lord, James S. Sutcliffe, Matthew W. State, Edwin H. Cook, Lambertus Klei, Eric M. Morrow, Pauline Chaste, Daniel H. Geschwind, Daniel Moreno-De-Luca, Eric Fombonne, Christopher A. Walsh, Vanessa Hus, Christa Lese Martin, Jennifer K. Lowe, Bernie Devlin, A. Jeremy Willsey, Soo Jeong Kim, Donna M. Martin, David H. Ledbetter, Michael T. Murtha, and Shrikant Mane
Subjects: Proband, Adult, Male, Intellectual and Developmental Disabilities (IDD), Autism, Population, Intelligence, autism spectrum disorder, ASD, Medical and Health Sciences, Article, Developmental psychology, Quantitative Trait, Quantitative Trait, Heritable, Covariate, Genetics, medicine, 2.1 Biological and endogenous factors, Humans, Body Weights and Measures, Family, Aetiology, Autistic Disorder, education, Child, Heritable, Biological Psychiatry, Pediatric, Psychiatry, education.field_of_study, Psychology and Cognitive Sciences, body metrics, Biological Sciences, medicine.disease, genetic ancestry, Regression, Brain Disorders, Mental Health, IQ, Autism spectrum disorder, Cohort, head circumference, Trait, Female, Psychology, Head, Demography
Abstract: Background Brain development follows a different trajectory in children with autism spectrum disorders (ASD) than in typically developing children. A proxy for neurodevelopment could be head circumference (HC), but studies assessing HC and its clinical correlates in ASD have been inconsistent. This study investigates HC and clinical correlates in the Simons Simplex Collection cohort. Methods We used a mixed linear model to estimate effects of covariates and the deviation from the expected HC given parental HC (genetic deviation). After excluding individuals with incomplete data, 7225 individuals in 1891 families remained for analysis. We examined the relationship between HC/genetic deviation of HC and clinical parameters. Results Gender, age, height, weight, genetic ancestry, and ASD status were significant predictors of HC (estimate of the ASD effect = .2 cm). HC was approximately normally distributed in probands and unaffected relatives, with only a few outliers. Genetic deviation of HC was also normally distributed, consistent with a random sampling of parental genes. Whereas larger HC than expected was associated with ASD symptom severity and regression, IQ decreased with the absolute value of the genetic deviation of HC. Conclusions Measured against expected values derived from covariates of ASD subjects, statistical outliers for HC were uncommon. HC is a strongly heritable trait, and population norms for HC would be far more accurate if covariates including genetic ancestry, height, and age were taken into account. The association of diminishing IQ with absolute deviation from predicted HC values suggests HC could reflect subtle underlying brain development and warrants further investigation.
Published: 2013

37. African ancestry and lung function in Puerto Rican children

Author: Deanna Calvert, Kathryn Paul, Juan C. Celedón, Soma Datta, María Alvarez, Kathryn Roeder, Michelle M. Cloutier, John Brehm, Angel Colón-Semidey, Dorothy Wakefield, Augusto A. Litonjua, M. Michael Barmada, Erick Forno, Edna Acosta-Pérez, Sherell Thornton-Thompson, Glorisa Canino, Nadia Boutaoui, Jody S. Sylvia, Lambertus Klei, and R.S. Kelly
Subjects: Gerontology, Male, Vital capacity, Multivariate analysis, Adolescent, Immunology, Vital Capacity, Black People, Article, FEV1/FVC ratio, Wheeze, medicine, Immunology and Allergy, Humans, Child, Socioeconomic status, Asthma, business.industry, Puerto Rico, Case-control study, medicine.disease, Respiratory Function Tests, Case-Control Studies, Female, medicine.symptom, business, Body mass index, Demography
Abstract: Puerto Rican and African American subjects share a significant proportion of African ancestry. Recent findings suggest that African ancestry influences lung function in African American adults.We sought to examine whether a greater proportion of African ancestry is associated with lower FEV(1) and forced vital capacity (FVC) in Puerto Rican children independently of socioeconomic status, health care access, or key environmental/lifestyle factors.We performed a cross-sectional case-control study of 943 Puerto Rican children aged 6 to 14 years with (n= 520) and without (n= 423) asthma (defined as physician-diagnosed asthma and wheeze in the prior year) living in Hartford, Connecticut (n= 383), and San Juan, Puerto Rico (n= 560). We estimated the percentage of African racial ancestry in study participants using genome-wide genotypic data. We tested whether African ancestry is associated with FEV(1) and FVC using linear regression. Multivariate models were adjusted for indicators of socioeconomic status and health care and selected environmental/lifestyle exposures.After adjustment for household income and other covariates, each 20% increment in African ancestry was significantly associated with lower prebronchodilator FEV(1) (-105 mL; 95% CI, -159 to -51 mL; P.001) and FVC (-133 mL; 95% CI, -197 to -69 mL; P.001) and postbronchodilator FEV(1) (-152 mL; 95% CI, -210 to -94 mL; P.001) and FVC (-145 mL; 95% CI, -211 to -79 mL; P.001) in children with asthma. Similar but weaker associations were found for prebronchodilator and postbronchodilator FEV(1) (change for each 20% increment in African ancestry, -78 mL; 95% CI, -131 to -25 mL; P= .004) and for postbronchodilator FVC among children without asthma.Genetic factors, environmental/lifestyle factors, or both correlated with African ancestry might influence childhood lung function in Puerto Rican subjects.
Published: 2012

38. Genome-wide association study of Alzheimer's disease with psychotic symptoms

Author: Lambertus Klei, Gill Livingston, Hugh Gurling, Richard Mayeux, Peter Passmore, David Craig, Oscar L. Lopez, Andrew McQuillin, Brian A. Lawlor, Michelle K. Lupton, Bernadette McGuinness, Aoibhinn Lynch, P Priotsi, Denise Harold, N Bass, Paul Hollingworth, Amy Gerrish, Dobril Ivanov, Michael Gill, Kamboh Mi, Lesley Jones, Michael John Owen, F Y Demirci, M. Michael Barmada, Christopher Holmes, Peter Holmans, Rebecca Sims, Nicola L. Jones, Carol Brayne, Bernie Devlin, Simon Lovestone, Valentina Moskvina, Steven T. DeKosky, Giancarlo Russo, Michael Conlon O'Donovan, Robert A. Sweet, Julie Williams, Alexandra Stretton, Jennifer Chapman, Richard Abraham, and Janet A. Johnston
Subjects: Apolipoprotein E, Oncology, NATIONAL INSTITUTE, Male, Complement receptor 1, Glucose Transport Proteins, Facilitative, Genome-wide association study, INCREASED FAMILIAL RISK, NEUROPSYCHIATRIC INVENTORY, psychosis, Cognitive decline, Aged, 80 and over, biology, COMMON VARIANTS, BIPOLAR DISORDER, Alzheimer's disease, Middle Aged, Psychiatry and Mental health, DNA, Intergenic, Female, Chromosomes, Human, Pair 4, Psychology, medicine.medical_specialty, Single-nucleotide polymorphism, URIC-ACID, IDENTIFIES VARIANTS, Polymorphism, Single Nucleotide, Article, Cellular and Molecular Neuroscience, Apolipoproteins E, CEREBROSPINAL-FLUID, Alzheimer Disease, Internal medicine, medicine, Dementia, Humans, Genetic Predisposition to Disease, COMPLEMENT RECEPTOR 1, Psychiatry, Molecular Biology, Genetic association, Aged, Psychiatric Status Rating Scales, genome-wide association study, medicine.disease, COGNITIVE IMPAIRMENT, Psychotic Disorders, Neurocalcin, Case-Control Studies, biology.gene, genetic, behavioural symptoms, Genome-Wide Association Study
Abstract: Psychotic symptoms occur in similar to 40% of subjects with Alzheimer's disease (AD) and are associated with more rapid cognitive decline and increased functional deficits. They show heritability up to 61% and have been proposed as a marker for a disease subtype suitable for gene mapping efforts. We undertook a combined analysis of three genome-wide association studies (GWASs) to identify loci that (1) increase susceptibility to an AD and subsequent psychotic symptoms; or (2) modify risk of psychotic symptoms in the presence of neurodegeneration caused by AD. In all, 1299 AD cases with psychosis (AD+P), 735 AD cases without psychosis (AD-P) and 5659 controls were drawn from Genetic and Environmental Risk in AD Consortium 1 (GERAD1), the National Institute on Aging Late-Onset Alzheimer's Disease (NIA-LOAD) family study and the University of Pittsburgh Alzheimer Disease Research Center (ADRC) GWASs. Unobserved genotypes were imputed to provide data on > 1.8 million single-nucleotide polymorphisms (SNPs). Analyses in each data set were completed comparing (1) AD+P to AD-P cases, and (2) AD+P cases with controls (GERAD1, ADRC only). Aside from the apolipoprotein E (APOE) locus, the strongest evidence for association was observed in an intergenic region on chromosome 4 (rs753129; 'AD+PvAD-P' P=2.85 x 10(-7); 'AD+PvControls' P=1.11 x 10(-4)). SNPs upstream of SLC2A9 (rs6834555, P=3.0 x 10(-7)) and within VSNL1 (rs4038131, P=5.9 x 10(-7)) showed strongest evidence for association with AD+P when compared with controls. These findings warrant further investigation in larger, appropriately powered samples in which the presence of psychotic symptoms in AD has been well characterized. Molecular Psychiatry (2012) 17, 1316-1327; doi: 10.1038/mp.2011.125; published online 18 October 2011
Published: 2011
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39. Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism

Author: John D. Murdoch, Sindhuja Kammela, Stephen Sanders, Rui Luo, Kyle A. Meyer, Donna M. Martin, Arthur L. Beaudet, Timothy W. Yu, Lambertus Klei, Kathryn Roeder, Lea K. Davis, Daniel Moreno-De-Luca, Nicole R. Davis Wright, David H. Ledbetter, Michael P. Moreau, A. Gulhan Ercan-Sencicek, Andrew Brooks, Richard P. Lifton, Christopher E. Mason, Youeun Song, Christopher A. Walsh, Bernie Devlin, Matthew W. State, Michael Sheldon, Dorothy E. Grice, Christa Lese Martin, Kaya Bilguvar, Abha R. Gupta, Susanne Thomson, Michael DiCola, Brian L. Yaspan, Rita M. Cantor, Vanessa Hus, Shrikant Mane, Su H. Chu, Sabata C. Lund, Vikram Fielding-Singh, Ilana R. Yurkiewicz, Edwin H. Cook, Murat Gunel, Martin Curland, Brian J. O'Roak, Nicholas M. DiLullo, Rahul M. Dhodapkar, Eric Fombonne, Patrícia B. S. Celestino-Soper, Gerald Goh, Stephanie Frahm, Jay A. Tischfield, Emily L. Crawford, Daniel O. Fishman, James S. Sutcliffe, Michael T. Murtha, Eric M. Morrow, Gordon T. Ober, William J. Moffat, Anna D. McGrew, Rouben Garagaloyan, Melanie J. Raubeson, Catherine Lord, Murim Choi, Rebecca S. Pottenger, Thomas V. Fernandez, Daniel H. Geschwind, Chad A. Shaw, Jennifer K. Lowe, and Qi Wang
Subjects: Proband, Male, Williams Syndrome, congenital, hereditary, and neonatal diseases and abnormalities, Adolescent, DNA Copy Number Variations, Genotype, Neuroscience(all), Cell Adhesion Molecules, Neuronal, Epigenetics of autism, Nerve Tissue Proteins, Biology, Article, Ubiquitin-Specific Peptidase 7, Gene Duplication, mental disorders, medicine, Humans, Heritability of autism, Child, Gene, Neural Cell Adhesion Molecules, Oligonucleotide Array Sequence Analysis, Genetics, Family Health, Chromosomes, Human, X, General Neuroscience, Gene Expression Profiling, Siblings, Calcium-Binding Proteins, Proteins, medicine.disease, Cadherins, Phenotype, Autism spectrum disorder, Child Development Disorders, Pervasive, Child, Preschool, Autism, Human genome, Female, Williams syndrome, Ubiquitin Thiolesterase, Chromosomes, Human, Pair 16, Chromosomes, Human, Pair 7, Genome-Wide Association Study
Abstract: Given prior evidence for the contribution of rare copy number variations (CNVs) to autism spectrum disorders (ASD), we studied these events in 4,457 individuals from 1,174 simplex families, composed of parents, a proband and, in most kindreds, an unaffected sibling. We find significant association of ASD with de novo duplications of 7q11.23, where the reciprocal deletion causes Williams-Beuren syndrome, featuring a highly social personality. We identify rare recurrent de novo CNVs at five additional regions including two novel ASD loci, 16p13.2 (including the genes USP7 and C16orf72) and Cadherin13, and implement a rigorous new approach to evaluating the statistical significance of these observations. Overall, we find large de novo CNVs carry substantial risk (OR=3.55; CI =2.16-7.46, p=6.9 × 10−6); estimate the presence of 130-234 distinct ASD-related CNV intervals across the genome; and, based on data from multiple studies, present compelling evidence for the association of rare de novo events at 7q11.23, 15q11.2-13.1, 16p11.2, and Neurexin1.
Published: 2011

40. Using ancestry matching to combine family-based and unrelated samples for genome-wide association studies‡

Author: Lambertus Klei, Bernie Devlin, Massimo Trucco, Kathryn Roeder, Andrew Crossett, Brian P. Kent, and Steven Ringquist
Subjects: Statistics and Probability, Proband, Male, Epidemiology, Genetic genealogy, Genome-wide association study, Biology, Biostatistics, Bioinformatics, Population stratification, Polymorphism, Single Nucleotide, Article, HLA Antigens, Genotype, SNP, Humans, Family, Allele, Models, Statistical, Racial Groups, Pedigree, Diabetes Mellitus, Type 1, Logistic Models, Evolutionary biology, Case-Control Studies, Female, Type I and type II errors, Genome-Wide Association Study
Abstract: We propose a method to analyze family-based samples together with unrelated cases and controls. The method builds on the idea of matched case-control analysis using conditional logistic regression (CLR). For each trio within the family, a case (the proband) and matched pseudo-controls are constructed, based upon the transmitted and untransmitted alleles. Unrelated controls, matched by genetic ancestry, supplement the sample of pseudo-controls; likewise unrelated cases are also paired with genetically matched controls. Within each matched stratum, the case genotype is contrasted with control/pseudo-control genotypes via CLR, using a method we call matched-CLR (mCLR). Eigenanalysis of numerous SNP genotypes provides a tool for mapping genetic ancestry. The result of such an analysis can be thought of as a multidimensional map, or eigenmap, in which the relative genetic similarities and differences amongst individuals is encoded in the map. Once constructed, new individuals can be projected onto the ancestry map based on their genotypes. Successful differentiation of individuals of distinct ancestry depends on having a diverse, yet representative sample from which to construct the ancestry map. Once samples are well-matched, mCLR yields comparable power to competing methods while ensuring excellent control over Type I error.
Published: 2010

41. Genetic Analysis of Vertebral Trabecular Bone Density and Cross-Sectional Area in Older Men

Author: Cara S. Nestlerode, Laura M. Yerges-Armstrong, Candace M. Kammerer, Susan P. Moffett, Joseph M. Zmuda, Elizabeth Barrett-Connor, Andrew R. Hoffman, Kristine E. Ensrud, Eric S. Orwoll, Thomas Lang, Allison L. Kuipers, Jane A. Cauley, Lambertus Klei, Robert E. Ferrell, Kathryn Roeder, and Cora E. Lewis
Subjects: Male, medicine.medical_specialty, Pathology, Candidate gene, Bone density, Genotype, Endocrinology, Diabetes and Metabolism, Osteoporosis, Single-nucleotide polymorphism, Lumbar vertebrae, Polymorphism, Single Nucleotide, Article, Gene Frequency, Bone Density, Internal medicine, medicine, Humans, Quantitative computed tomography, Genetic Association Studies, Aged, Bone mineral, Aged, 80 and over, Lumbar Vertebrae, medicine.diagnostic_test, business.industry, medicine.disease, Vertebra, Endocrinology, medicine.anatomical_structure, business, Tomography, X-Ray Computed
Abstract: We investigated 383 bone candidate genes for associations between single nucleotide polymorphisms and vertebral trabecular volumetric bone mineral density (vBMD) and cross-sectional area (CSA) in 2,018 Caucasian men aged ≥65 years. SNPs in TGFBR3, SOST, KL, CALCR, LEP, CSF1R, PTN, GNRH2, FGFR2, and MEPE were associated with vBMD and SNPs in CYP11B1, DVL2, DLX5, WNT4, and PAX7 were associated with CSA in independent study samples (p
Published: 2010

42. No association of psychosis in Alzheimer disease with neurodegenerative pathway genes

Author: Robert A. Sweet, James E. Emanuel, Elise A. Weamer, Mary Ann A. DeMichele-Sweet, Lambertus Klei, Oscar L. Lopez, Robert E. Ferrell, and Bernie Devlin
Subjects: Male, Aging, Psychosis, medicine.medical_specialty, Amyloid beta, SORL1, Tau protein, Single-nucleotide polymorphism, tau Proteins, Polymorphism, Single Nucleotide, Article, Amyloid beta-Protein Precursor, Alzheimer Disease, Internal medicine, mental disorders, medicine, Amyloid precursor protein, Aspartic Acid Endopeptidases, Humans, Cognitive decline, LDL-Receptor Related Proteins, Aged, Genetics, Aged, 80 and over, Amyloid beta-Peptides, biology, General Neuroscience, Membrane Transport Proteins, medicine.disease, Endocrinology, Psychotic Disorders, Nerve Degeneration, biology.protein, Female, Neurology (clinical), Geriatrics and Gerontology, Alzheimer's disease, Amyloid Precursor Protein Secretases, Developmental Biology, Genome-Wide Association Study
Abstract: Psychotic symptoms occur in approximately 40% of subjects with Alzheimer disease (AD with psychosis; AD + P) and identify a subgroup with more rapid cognitive decline. We evaluated in 867 AD subjects the association of AD + P with genes which may modify the pathological process via effects on the accumulation of amyloid beta (Aβ) protein and/or hyperphosphorylated microtubule-associated protein tau (MAPT): amyloid precursor protein (APP), beta-site amyloid precursor protein cleaving enzyme (BACE1), sortilin-related receptor (SORL1), and MAPT. Each gene was thoroughly interrogated with tag single-nucleotide polymorphisms (SNPs), and gene-based tests were used to enhance power. We found no association of these genes with AD + P.
Published: 2010

43. Consanguinity and increased risk for schizophrenia in Egypt

Author: Osama El-Boraie, Mai Elassy, Farha A El-Chennawi, Kodavali V. Chowdari, Lambertus Klei, Warda Fathi, Ahmed Eissa, Hader Mansour, Kareem Kandil, Vishwajit L. Nimgaonkar, Bernie Devlin, Ibtihal Ali, Annie M. Watson, Amal Yassin, Hala El-Boraie, Wafaa El-Bahaei, Joel Wood, Salwa Tobar, Hala Salah, Mohamed Alatrouny, Nahed E. Ibrahim, and Hanan Gaafar
Subjects: Adult, Male, Bipolar I disorder, Self Disclosure, Population, DNA Mutational Analysis, Consanguinity, Article, Young Adult, medicine, Odds Ratio, Humans, Family history, Risk factor, education, Biological Psychiatry, Genetics, education.field_of_study, Polymorphism, Genetic, business.industry, Case-control study, Odds ratio, medicine.disease, Psychiatry and Mental health, Case-Control Studies, Schizophrenia, Egypt, Female, business, Inbreeding, Demography, Microsatellite Repeats
Abstract: Background Consanguinity has been suggested as a risk factor for psychoses in some Middle Eastern countries, but adequate control data are unavailable. Our recent studies in Egypt have shown elevated parental consanguinity rates among patients with bipolar I disorder (BP1), compared with controls. We have now extended our analyses to schizophrenia (SZ) in the same population. Methods A case–control study was conducted at Mansoura University Hospital, Mansoura, Egypt (SZ, n = 75; controls, n = 126, and their available parents). The prevalence of consanguinity was estimated from family history data (‘self report’), followed by DNA analysis using short tandem repeat polymorphisms (STRPs, n = 63) (‘DNA-based’ rates). Results Self-reported consanguinity was significantly elevated among the patients (SZ: 46.6%, controls: 19.8%, OR 3.53, 95% CI 1.88, 6.64; p = 0.000058, 1 d.f.). These differences were confirmed using DNA-based estimates for coefficients of inbreeding (inbreeding coefficients as means ± standard error, cases: 0.058 ± 0.007, controls: 0.022 ± 0.003). Conclusions Consanguinity rates are signifcantly elevated among Egyptian SZ patients in the Nile delta region. The associations are similar to those observed with BP1 in our earlier study. If replicated, the substantial risk associated with consanguinity raises public health concerns. They may also pave the way for gene mapping studies.
Published: 2010

44. Discovering genetic ancestry using spectral graph theory

Author: Lambertus Klei, Bernie Devlin, Ann B. Lee, Kathryn Roeder, and Diana Luca
Subjects: Epidemiology, Genetic genealogy, Genome-wide association study, Biology, Article, Databases, Genetic, Statistics, Cluster Analysis, Humans, Multidimensional scaling, Spurious relationship, Genetics (clinical), Genetic association, Principal Component Analysis, Models, Statistical, business.industry, Spectral graph theory, Pattern recognition, Quantitative Biology::Genomics, Genetics, Population, Principal component analysis, Graph (abstract data type), Artificial intelligence, business, Algorithms, Genome-Wide Association Study
Abstract: As one approach to uncovering the genetic underpinnings of complex disease, individuals are measured at a large number of genetic variants (usually SNPs) across the genome and these SNP genotypes are assessed for association with disease status. We propose a new statistical method called Spectral-GEM for the analysis of genome-wide association studies; the goal of Spectral-GEM is to quantify the ancestry of the sample from such genotypic data. Ignoring structure due to differential ancestry can lead to an excess of spurious findings and reduce power. Ancestry is commonly estimated using the eigenvectors derived from principal component analysis (PCA). To develop an alternative to PCA we draw on connections between multidimensional scaling and spectral graph theory. Our approach, based on a spectral embedding derived from the normalized Laplacian of a graph, can produce more meaningful delineation of ancestry than by using PCA. Often the results from Spectral-GEM are straightforward to interpret and therefore useful in association analysis. We illustrate the new algorithm with an analysis of the POPRES data [Nelson et al., 2008].
Published: 2009
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45. Linkage analysis of schizophrenia in African-American families

Author: Lambertus Klei, R.C. Gur, Joseph Kwentus, Muktar H. Aliyu, Trina B. Allen, Bernie Devlin, Judith Rosemary O'Jile, M. D. Irvin, Paul D. Lyons, Vishwajit L. Nimgaonkar, Alberto B. Santos, R.E. Gur, Rodney T. Perry, Henry A. Nasrallah, Monica E. Calkins, Rodney C.P. Go, Neil B. Edwards, L. D. Bradford, Robert Savage, Joseph P. McEvoy, and Howard W. Wiener
Subjects: Male, medicine.medical_specialty, Psychosis, Genotype, Genetic Linkage, Schizophrenia (object-oriented programming), Schizoaffective disorder, Polymorphism, Single Nucleotide, Article, Genetic linkage, Polymorphism (computer science), Risk Factors, medicine, Humans, Family, Genetic Predisposition to Disease, Psychiatry, Biological Psychiatry, Linkage (software), Social environment, Chromosome Mapping, medicine.disease, Penetrance, Pedigree, Black or African American, Psychiatry and Mental health, Schizophrenia, Female, Psychology, Demography
Abstract: While many studies have sought a window into the genetics of schizophrenia, few have focused on African-American families. An exception is the Project among African-Americans to Explore Risks for Schizophrenia (PAARTNERS), which seeks to identify novel and known risk variation for schizophrenia by genetic analyses of African-American families. We report a linkage study of diagnostic status in 217 African-American families using the Illumina Linkage Panel. Due to assumed incomplete and time-dependent penetrance, we performed linkage analysis using two different treatments of diagnosis: (1) treating both affected and unaffected individuals as informative for linkage (using the program SIBPAL) and (2) treating only affected individuals as informative (using the program MERLIN). We also explore three definitions of affected status: narrowly defined schizophrenia; one broadened to include schizoaffective disorder; and another including all diagnoses indicating psychosis. Several regions show a decrease in the evidence for linkage as the definition broadens 8q22.1 (rs911, 99.26 cM; SIBPAL p-value [p] goes from 0.006 to 0.02), 16q24.3 (rs1006547, 130.48 cM; p from 0.00095 to 0.0085), and 20q13.2 (rs1022689, 81.73 cM; p from 0.00015 to 0.032). One region shows a substantial increase in evidence for linkage, 11p15.2 (rs722317, 24.27 cM; p from 0.0022 to 0.0000003); MERLIN results support the significance of the SIBPAL results (p=0.00001). Our linkage results overlap two broad, previously-reported linkage regions: 8p23.3-p12 found in studies sampling largely families of European ancestry; and 11p11.2-q22.3 reported by a study of African-American families. These results should prove quite useful for uncovering loci affecting risk for schizophrenia.
Published: 2008

46. Ulcerative colitis-risk loci on chromosomes 1p36 and 12q15 found by genome-wide association study

Author: Kathryn Roeder, Andrew Ippoliti, Deborah D. Proctor, Anne M. Griffiths, Fabrizio Bossa, Richard H. Duerr, Theodore M. Bayless, Jean Paul Achkar, M. Michael Barmada, Peter K. Gregersen, Wei Xu, Pierre Paré, Lambertus Klei, Mark J. Daly, Raymond G. Lahaie, Regan Scott, Anna Latiano, Clara Abraham, John D. Rioux, Jerome I. Rotter, A. Hillary Steinhart, Miguel Regueiro, Dermot P.B. McGovern, Vito Annese, Kent D. Taylor, Mark S. Silverberg, Judy H. Cho, Annette Lee, Jing Wu, L. Philip Schumm, Stephan R. Targan, Steven R. Brant, Philippe Goyette, and Emily O. Kistner
Subjects: Male, Ulcerative, Genome-wide association study, Medical and Health Sciences, 0302 clinical medicine, Risk Factors, Receptors, Genotype, Pair 12, HLA-DQ beta-Chains, Genetics, Recombination, Genetic, 0303 health sciences, Membrane Glycoproteins, Single Nucleotide, Biological Sciences, Colitis, Ulcerative colitis, 3. Good health, Diarrhea, Chromosomes, Human, Pair 1, Pair 1, 030211 gastroenterology & hepatology, Chromosomes, Human, Pair 6, Female, Pair 6, medicine.symptom, Human, Locus (genetics), Biology, Polymorphism, Single Nucleotide, Chromosomes, Article, 03 medical and health sciences, Genetic, HLA-DQ Antigens, medicine, Humans, Genetic Predisposition to Disease, Polymorphism, 030304 developmental biology, Chromosomes, Human, Pair 12, Butyrophilins, Case-control study, Chromosome, Odds ratio, Receptors, Interleukin, Interleukin, medicine.disease, Recombination, Case-Control Studies, Colitis, Ulcerative, Developmental Biology, Genome-Wide Association Study
Abstract: Ulcerative colitis is a chronic inflammatory disease of the colon that presents as diarrhea and gastrointestinal bleeding. We performed a genome-wide association study using DNA samples from 1,052 individuals with ulcerative colitis and preexisting data from 2,571 controls, all of European ancestry. In an analysis that controlled for gender and population structure, ulcerative colitis loci attaining genome-wide significance and subsequent replication in two independent populations were identified on chromosomes 1p36 (rs6426833, combined P = 5.1 x 10(-13), combined odds ratio OR = 0.73) and 12q15 (rs1558744, combined P = 2.5 x 10(-12), combined OR = 1.35). In addition, combined genome-wide significant evidence for association was found in a region spanning BTNL2 to HLA-DQB1 on chromosome 6p21 (rs2395185, combined P = 1.0 x 10(-16), combined OR = 0.66) and at the IL23R locus on chromosome 1p31 (rs11209026, combined P = 1.3 x 10(-8), combined OR = 0.56; rs10889677, combined P = 1.3 x 10(-8), combined OR = 1.29).
Published: 2008

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

Author: Peter, Szatmari, Andrew D, Paterson, Lonnie, Zwaigenbaum, Wendy, Roberts, Jessica, Brian, Xiao-Qing, Liu, John B, Vincent, Jennifer L, Skaug, Ann P, Thompson, Lili, Senman, Lars, Feuk, Cheng, Qian, Susan E, Bryson, Marshall B, Jones, Christian R, Marshall, Stephen W, Scherer, Veronica J, Vieland, Christopher, Bartlett, La Vonne, Mangin, Rhinda, Goedken, Alberto, Segre, Margaret A, Pericak-Vance, Michael L, Cuccaro, John R, Gilbert, Harry H, Wright, Ruth K, Abramson, Catalina, Betancur, Thomas, Bourgeron, Christopher, Gillberg, Marion, Leboyer, Joseph D, Buxbaum, Kenneth L, Davis, Eric, Hollander, Jeremy M, Silverman, Joachim, Hallmayer, Linda, Lotspeich, James S, Sutcliffe, Jonathan L, Haines, Susan E, Folstein, Joseph, Piven, Thomas H, Wassink, Val, Sheffield, Daniel H, Geschwind, Maja, Bucan, W Ted, Brown, Rita M, Cantor, John N, Constantino, T Conrad, Gilliam, Martha, Herbert, Clara, Lajonchere, David H, Ledbetter, Christa, Lese-Martin, Janet, Miller, Stan, Nelson, Carol A, Samango-Sprouse, Sarah, Spence, Matthew, State, Rudolph E, Tanzi, Hilary, Coon, Geraldine, Dawson, Bernie, Devlin, Annette, Estes, Pamela, Flodman, Lambertus, Klei, William M, McMahon, Nancy, Minshew, Jeff, Munson, Elena, Korvatska, Patricia M, Rodier, Gerard D, Schellenberg, Moyra, Smith, M Anne, Spence, Chris, Stodgell, Ping Guo, Tepper, Ellen M, Wijsman, Chang-En, Yu, Bernadette, Rogé, Carine, Mantoulan, Kerstin, Wittemeyer, Annemarie, Poustka, Bärbel, Felder, Sabine M, Klauck, Claudia, Schuster, Fritz, Poustka, Sven, Bölte, Sabine, Feineis-Matthews, Evelyn, Herbrecht, Gabi, Schmötzer, John, Tsiantis, Katerina, Papanikolaou, Elena, Maestrini, Elena, Bacchelli, Francesca, Blasi, Simona, Carone, Claudio, Toma, Herman, Van Engeland, Maretha, de Jonge, Chantal, Kemner, Frederieke, Koop, Frederike, Koop, Marjolein, Langemeijer, Marjolijn, Langemeijer, Channa, Hijmans, Channa, Hijimans, Wouter G, Staal, Gillian, Baird, Patrick F, Bolton, Michael L, Rutter, Emma, Weisblatt, Jonathan, Green, Catherine, Aldred, Julie-Anne, Wilkinson, Andrew, Pickles, Ann, Le Couteur, Tom, Berney, Helen, McConachie, Anthony J, Bailey, Kostas, Francis, Gemma, Honeyman, Aislinn, Hutchinson, Jeremy R, Parr, Simon, Wallace, Anthony P, Monaco, Gabrielle, Barnby, Kazuhiro, Kobayashi, Janine A, Lamb, Ines, Sousa, Nuala, Sykes, Edwin H, Cook, Stephen J, Guter, Bennett L, Leventhal, Jeff, Salt, Catherine, Lord, Christina, Corsello, Vanessa, Hus, Daniel E, Weeks, Fred, Volkmar, Maïté, Tauber, Eric, Fombonne, Andy, Shih, Kacie J, Meyer, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, The Centre for Applied Genomics, Toronto, University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Department of Pediatrics, University of Alberta, Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Department of Psychiatry, University of Toronto, Departments of Pediatrics and Psychology, Dalhousie University [Halifax], Department of Neural and Behavioral Sciences, Pennsylvania State University (Penn State), Penn State System-Penn State System, Department of Molecular Genetics [Toronto], Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Department of Pathology and Laboratory Medicine, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Computer Science, University of Iowa [Iowa City], John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], W.S. Hall Psychiatric Institute, University of South Carolina [Columbia], Physiopathologie des Maladies du Système Nerveux Central, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Gillberg Neuropsychiatry Centre [Göteborg, Sueden], Institute of Neuroscience and Physiology [Göteborg]-University of Gothenburg (GU), Institute of Child Health, University College of London [London] (UCL), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Friedman Brain Institute, Mount Sinai, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Neuroscience, PennState Meteorology Department, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Department of Psychiatry and Behavioral Sciences [Stanford], Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Johns Hopkins University (JHU), Carolina Institute for Developmental Disabilities, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], University of Iowa [Iowa City]-Howard Hughes Medical-Institute Carver College of Medicine, Department of Neurology, UCLA School of Medicine, Department of Genetics, University of Pennsylvania [Philadelphia]-School of Medicine, N.Y.S. Institute for Basic Research in Developmental Disabilities, Department of Human Genetics, UCLA, University of California [Los Angeles] (UCLA), University of California-University of California-Semel Institute, Washington University in Saint Louis (WUSTL), University of Chicago, Harvard Medical School [Boston] (HMS), Autism Genetic Resource Exchange, Autism Speaks, Emory University [Atlanta, GA], Developmental Brain and Behaviour Unit, University of Southampton, Cure Autism Now, Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Children's National Medical Center, The George Washington University (GW), Massachusetts General Hospital, Massachusetts General Hospital [Boston], Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], Autism Speaks and the Department of Psychiatry, Department of Speech and Hearing Sciences [Washington], University of Washington [Seattle], University of California [Irvine] (UCI), University of California-University of California, Department of Psychiatry and Behavioral Sciences, Department of OB/GYN, University of Rochester Medical Center, Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Department of Epidemiology, University of Pittsburgh (PITT), Departments of Biostatistics and Medicine, Department of Medicine, Octogone Unité de Recherche Interdisciplinaire (Octogone), Université Toulouse - Jean Jaurès (UT2J), Centre de Référence du Syndrome de Prader-Willi, CHU Toulouse [Toulouse], University of Oxford [Oxford]-Warneford Hospital, Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, University Department of Child Psychiatry, National and Kapodistrian University of Athens (NKUA), Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Medical Genetics Laboratory, Policlinico S. Orsola-Malpighi, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Department of Neurocognition, Maastricht University [Maastricht], Newcomen Centre, Guy's Hospital [London], Department of Child and Adolescent Psychiatry, Institute of psychiatry, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), The Institute of Psychiatry-King‘s College London, University of Cambridge Clinical School, University of Cambridge [UK] (CAM), Manchester Academic Health Sciences Centre, Department of Medicine, Manchester, University of Manchester [Manchester]-School of Epidemiology and Health Science, Newcastle University [Newcastle]-Institute of Health & Society (Child & Adolescent Psychiatry), Child and Adolescent Mental Health, Newcastle University [Newcastle], Institutes of Neuroscience and Health and Society, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Centre for Integrated Genomic Medical Research, Manchester, University of Manchester [Manchester], Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Institute for Juvenile Research, University of Illinois [Chicago] (UIC), Department of Disability and Human Development, New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), Autism and Communicative Disorders Centre, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Human Genetics Department, SFU Discrete Mathematics Group (SFU-DMG), Simon Fraser University (SFU.ca), Child Study Centre, Yale University School of Medicine, Centre d'Endocrinologie, Maladies Osseuses, Génétique et Gynécologie Médicale, Hôpital des Enfants, CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Department of Child Psychiatry, McGill University = Université McGill [Montréal, Canada]-Montreal Children's Hospital, McGill University Health Center [Montreal] (MUHC)-McGill University Health Center [Montreal] (MUHC), Scientific Affairs, Autism Genome Project Consortium, RS: FPN CN II, Cognitive Neuroscience, MUMC+: HZC Klinische Neurofysiologie (5), The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, University of California (UC)-University of California (UC)-Semel Institute, University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), King‘s College London-The Institute of Psychiatry, Yale School of Medicine [New Haven, Connecticut] (YSM), Betancur, Catalina, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania-School of Medicine, University of Pennsylvania, Pôle Enfants [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), University of Oxford-Warneford Hospital, University of Oxford, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université de Toulouse (UT)-Université de Toulouse (UT), Szatmari P, Paterson AD, Zwaigenbaum L, Roberts W, Brian J, Liu XQ, Vincent JB, Skaug JL, Thompson AP, Senman L, Feuk L, Qian C, Bryson SE, Jones MB, Marshall CR, Scherer SW, Vieland VJ, Bartlett C, Mangin LV, Goedken R, Segre A, Pericak-Vance MA, Cuccaro ML, Gilbert JR, Wright HH, Abramson RK, Betancur C, Bourgeron T, Gillberg C, Leboyer M, Buxbaum JD, Davis KL, Hollander E, Silverman JM, Hallmayer J, Lotspeich L, Sutcliffe JS, Haines JL, Folstein SE, Piven J, Wassink TH, Sheffield V, Geschwind DH, Bucan M, Brown WT, Cantor RM, Constantino JN, Gilliam TC, Herbert M, Lajonchere C, Ledbetter DH, Lese-Martin C, Miller J, Nelson S, Samango-Sprouse CA, Spence S, State M, Tanzi RE, Coon H, Dawson G, Devlin B, Estes A, Flodman P, Klei L, McMahon WM, Minshew N, Munson J, Korvatska E, Rodier PM, Schellenberg GD, Smith M, Spence MA, Stodgell C, Tepper PG, Wijsman EM, Yu CE, Roge B, Mantoulan C, Wittemeyer K, Poustka A, Felder B, Klauck SM, Schuster C, Poustka F, Bolte S, Feineis-Matthews S, Herbrecht E, Schmotzer G, Tsiantis J, Papanikolaou K, Maestrini E, Bacchelli E, Blasi F, Carone S, Toma C, Van Engeland H, de Jonge M, Kemner C, Koop F, Langemeijer M, Hijimans C, Staal WG, Baird G, Bolton PF, Rutter ML, Weisblatt E, Green J, Aldred C, Wilkinson JA, Pickles A, Le Couteur A, Berney T, McConachie H, Bailey AJ, Francis K, Honeyman G, Hutchinson A, Parr JR, Wallace S, Monaco AP, Barnby G, Kobayashi K, Lamb JA, Sousa I, Sykes N, Cook EH, Guter SJ, Leventhal BL, Salt J, Lord C, Corsello C, Hus V, Weeks DE, Volkmar F, Tauber M, Fombonne E, and Shih A.
Subjects: Male, genetic structures, Genetic Linkage, Neurexin, [SDV.GEN] Life Sciences [q-bio]/Genetics, 0302 clinical medicine, Risk Factors, MESH: Risk Factors, Heritability of autism, Copy-number variation, MESH: Genetic Variation, Genetics, 0303 health sciences, medicine.diagnostic_test, MESH: Genetic Testing, MESH: Genetic Predisposition to Disease, Chromosome Mapping, 3. Good health, Female, MESH: Genetic Linkage, MESH: Autistic Disorder, Epigenetics of autism, Biology, Article, 03 medical and health sciences, Genetic linkage, mental disorders, medicine, Humans, MESH: Chromosome Aberrations, Family, Genetic Predisposition to Disease, Genetic Testing, Autistic Disorder, MESH: Family, 030304 developmental biology, Genetic testing, Chromosome Aberrations, [SDV.GEN]Life Sciences [q-bio]/Genetics, MESH: Humans, Genetic Variation, medicine.disease, Genetic architecture, MESH: Male, MESH: Lod Score, Autism, Lod Score, MESH: Chromosome Mapping, MESH: Female, 030217 neurology & neurosurgery
Abstract: International audience; Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,181 [corrected] families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs.
Published: 2007
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48. On the Use of General Control Samples for Genome-wide Association Studies: Genetic Matching Highlights Causal Variants

Author: Stefan Schreiber, Kathryn Roeder, Ann B. Lee, Diana Luca, Christian Gieger, Bernie Devlin, Ying Lu, Steven Ringquist, H.-Erich Wichmann, Alexis Styche, Michael Krawczak, Massimo Trucco, and Lambertus Klei
Subjects: Matching (statistics), Genetic genealogy, Inheritance Patterns, Genomics, Genome-wide association study, Computational biology, Biology, Genome, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, Germany, Databases, Genetic, Genetics, False positive paradox, Humans, Genetics(clinical), Computer Simulation, Genetics (clinical), 030304 developmental biology, 0303 health sciences, Case-control study, Control Groups, United States, Diabetes Mellitus, Type 1, Genetics, Population, Case-Control Studies, Data Interpretation, Statistical, 030217 neurology & neurosurgery, SNP array
Abstract: Resources being amassed for genome-wide association (GWA) studies include "control databases" genotyped with a large-scale SNP array. How to use these databases effectively is an open question. We develop a method to match, by genetic ancestry, controls to affected individuals (cases). The impact of this method, especially for heterogeneous human populations, is to reduce the false-positive rate, inflate other spuriously small p values, and have little impact on the p values associated with true positive loci. Thus, it highlights true positives by downplaying false positives. We perform a GWA by matching Americans with type 1 diabetes (T1D) to controls from Germany. Despite the complex study design, these analyses identify numerous loci known to confer risk for T1D.
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