Search

Your search keyword '"Lambertus Klei"' showing total 109 results
Start Over Author "Lambertus Klei"
109 results on '"Lambertus Klei"'

1. Genetic associations with psychosis and affective disturbance in Alzheimer's disease

Author

Inga Margret Antonsdottir, Byron Creese, Lambertus Klei, Mary Ann A. DeMichele‐Sweet, Elise A. Weamer, Pablo Garcia‐Gonzalez, Marta Marquie, Mercè Boada, Emilio Alarcón‐Martín, Sergi Valero, NIA‐LOAD Family Based Study Consortium, Alzheimer's Disease Genetics Consortium (ADGC), AddNeuroMed Consortium, Yushi Liu, Basavaraj Hooli, Dag Aarsland, Geir Selbaek, Sverre Bergh, Arvid Rongve, Ingvild Saltvedt, Håvard K. Skjellegrind, Bo Engdahl, Ole A. Andreassen, Barbara Borroni, Patrizia Mecocci, Yehani Wedatilake, Richard Mayeux, Tatiana Foroud, Agustín Ruiz, Oscar L. Lopez, M. Ilyas Kamboh, Clive Ballard, Bernie Devlin, Constantine Lyketsos, and Robert A. Sweet

Subjects
affective disturbance, Alzheimer's disease, genome‐wide association, heritability, psychosis, Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6
Abstract

Abstract INTRODUCTION Individuals with Alzheimer's disease (AD) commonly experience neuropsychiatric symptoms of psychosis (AD+P) and/or affective disturbance (depression, anxiety, and/or irritability, AD+A). This study's goal was to identify the genetic architecture of AD+P and AD+A, as well as their genetically correlated phenotypes. METHODS Genome‐wide association meta‐analysis of 9988 AD participants from six source studies with participants characterized for AD+P AD+A, and a joint phenotype (AD+A+P). RESULTS AD+P and AD+A were genetically correlated. However, AD+P and AD+A diverged in their genetic correlations with psychiatric phenotypes in individuals without AD. AD+P was negatively genetically correlated with bipolar disorder and positively with depressive symptoms. AD+A was positively correlated with anxiety disorder and more strongly correlated than AD+P with depressive symptoms. AD+P and AD+A+P had significant estimated heritability, whereas AD+A did not. Examination of the loci most strongly associated with the three phenotypes revealed overlapping and unique associations. DISCUSSION AD+P, AD+A, and AD+A+P have both shared and divergent genetic associations pointing to the importance of incorporating genetic insights into future treatment development. Highlights It has long been known that psychotic and affective symptoms are often comorbid in individuals diagnosed with Alzheimer's disease. Here we examined for the first time the genetic architecture underlying this clinical observation, determining that psychotic and affective phenotypes in Alzheimer's disease are genetically correlated. Nevertheless, psychotic and affective phenotypes in Alzheimer's disease diverged in their genetic correlations with psychiatric phenotypes assessed in individuals without Alzheimer's disease. Psychosis in Alzheimer's disease was negatively genetically correlated with bipolar disorder and positively with depressive symptoms, whereas the affective phenotypes in Alzheimer's disease were positively correlated with anxiety disorder and more strongly correlated than psychosis with depressive symptoms. Psychosis in Alzheimer's disease, and the joint psychotic and affective phenotype, had significant estimated heritability, whereas the affective in AD did not. Examination of the loci most strongly associated with the psychotic, affective, or joint phenotypes revealed overlapping and unique associations.

Published
2024
Full Text
View/download PDF

2. Evaluating and improving health equity and fairness of polygenic scores

Author

Tianyu Zhang, Geyu Zhou, Lambertus Klei, Peng Liu, Alexandra Chouldechova, Hongyu Zhao, Kathryn Roeder, Max G’Sell, and Bernie Devlin

Subjects
Genetics, QH426-470
Abstract

Summary: Polygenic scores (PGSs) are quantitative metrics for predicting phenotypic values, such as human height or disease status. Some PGS methods require only summary statistics of a relevant genome-wide association study (GWAS) for their score. One such method is Lassosum, which inherits the model selection advantages of Lasso to select a meaningful subset of the GWAS single-nucleotide polymorphisms as predictors from their association statistics. However, even efficient scores like Lassosum, when derived from European-based GWASs, are poor predictors of phenotype for subjects of non-European ancestry; that is, they have limited portability to other ancestries. To increase the portability of Lassosum, when GWAS information and estimates of linkage disequilibrium are available for both ancestries, we propose Joint-Lassosum (JLS). In the simulation settings we explore, JLS provides more accurate PGSs compared to other methods, especially when measured in terms of fairness. In analyses of UK Biobank data, JLS was computationally more efficient but slightly less accurate than a Bayesian comparator, SDPRX. Like all PGS methods, JLS requires selection of predictors, which are determined by data-driven tuning parameters. We describe a new approach to selecting tuning parameters and note its relevance for model selection for any PGS. We also draw connections to the literature on algorithmic fairness and discuss how JLS can help mitigate fairness-related harms that might result from the use of PGSs in clinical settings. While no PGS method is likely to be universally portable, due to the diversity of human populations and unequal information content of GWASs for different ancestries, JLS is an effective approach for enhancing portability and reducing predictive bias.

Published
2024
Full Text
View/download PDF

3. Schizophrenia-associated differential DNA methylation in brain is distributed across the genome and annotated to MAD1L1, a locus at which DNA methylation and transcription phenotypes share genetic variation with schizophrenia risk

Author

Brandon C. McKinney, Lora L. McClain, Christopher M. Hensler, Yue Wei, Lambertus Klei, David A. Lewis, Bernie Devlin, Jiebiao Wang, Ying Ding, and Robert A. Sweet

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract DNA methylation (DNAm), the addition of a methyl group to a cytosine in DNA, plays an important role in the regulation of gene expression. Single-nucleotide polymorphisms (SNPs) associated with schizophrenia (SZ) by genome-wide association studies (GWAS) often influence local DNAm levels. Thus, DNAm alterations, acting through effects on gene expression, represent one potential mechanism by which SZ-associated SNPs confer risk. In this study, we investigated genome-wide DNAm in postmortem superior temporal gyrus from 44 subjects with SZ and 44 non-psychiatric comparison subjects using Illumina Infinium MethylationEPIC BeadChip microarrays, and extracted cell-type-specific methylation signals by applying tensor composition analysis. We identified SZ-associated differential methylation at 242 sites, and 44 regions containing two or more sites (FDR cutoff of q = 0.1) and determined a subset of these were cell-type specific. We found mitotic arrest deficient 1-like 1 (MAD1L1), a gene within an established GWAS risk locus, harbored robust SZ-associated differential methylation. We investigated the potential role of MAD1L1 DNAm in conferring SZ risk by assessing for colocalization among quantitative trait loci for methylation and gene transcripts (mQTLs and tQTLs) in brain tissue and GWAS signal at the locus using multiple-trait-colocalization analysis. We found that mQTLs and tQTLs colocalized with the GWAS signal (posterior probability >0.8). Our findings suggest that alterations in MAD1L1 methylation and transcription may mediate risk for SZ at the MAD1L1-containing locus. Future studies to identify how SZ-associated differential methylation affects MAD1L1 biological function are indicated.

Published
2022
Full Text
View/download PDF

4. How rare and common risk variation jointly affect liability for autism spectrum disorder

Author

Lambertus Klei, Lora Lee McClain, Behrang Mahjani, Klea Panayidou, Silvia De Rubeis, Anna-Carin Säll Grahnat, Gun Karlsson, Yangyi Lu, Nadine Melhem, Xinyi Xu, Abraham Reichenberg, Sven Sandin, Christina M. Hultman, Joseph D. Buxbaum, Kathryn Roeder, and Bernie Devlin

Subjects
Genomic-Best Linear Unbiased Prediction (G-BLUP), De novo mutation, Liability, Polygenic risk score, Autism spectrum disorder, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Genetic studies have implicated rare and common variations in liability for autism spectrum disorder (ASD). Of the discovered risk variants, those rare in the population invariably have large impact on liability, while common variants have small effects. Yet, collectively, common risk variants account for the majority of population-level variability. How these rare and common risk variants jointly affect liability for individuals requires further study. Methods To explore how common and rare variants jointly affect liability, we assessed two cohorts of ASD families characterized for rare and common genetic variations (Simons Simplex Collection and Population-Based Autism Genetics and Environment Study). We analyzed data from 3011 affected subjects, as well as two cohorts of unaffected individuals characterized for common genetic variation: 3011 subjects matched for ancestry to ASD subjects and 11,950 subjects for estimating allele frequencies. We used genetic scores, which assessed the relative burden of common genetic variation affecting risk of ASD (henceforth “burden”), and determined how this burden was distributed among three subpopulations: ASD subjects who carry a potentially damaging variant implicated in risk of ASD (“PDV carriers”); ASD subjects who do not (“non-carriers”); and unaffected subjects who are assumed to be non-carriers. Results Burden harbored by ASD subjects is stochastically greater than that harbored by control subjects. For PDV carriers, their average burden is intermediate between non-carrier ASD and control subjects. Both carrier and non-carrier ASD subjects have greater burden, on average, than control subjects. The effects of common and rare variants likely combine additively to determine individual-level liability. Limitations Only 305 ASD subjects were known PDV carriers. This relatively small subpopulation limits this study to characterizing general patterns of burden, as opposed to effects of specific PDVs or genes. Also, a small fraction of subjects that are categorized as non-carriers could be PDV carriers. Conclusions Liability arising from common and rare risk variations likely combines additively to determine risk of any individual diagnosed with ASD. On average, ASD subjects carry a substantial burden of common risk variation, even if they also carry a rare PDV affecting risk.

Published
2021
Full Text
View/download PDF

5. Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

Author

Behrang Mahjani, Silvia De Rubeis, Christina Gustavsson Mahjani, Maureen Mulhern, Xinyi Xu, Lambertus Klei, F. Kyle Satterstrom, Jack Fu, Michael E. Talkowski, Abraham Reichenberg, Sven Sandin, Christina M. Hultman, Dorothy E. Grice, Kathryn Roeder, Bernie Devlin, and Joseph D. Buxbaum

Subjects
Autism spectrum disorder, Copy number variant, Single nucleotide variant, Intellectual disability, Whole exome sequencing, PAGES, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background The Autism Sequencing Consortium identified 102 high-confidence autism spectrum disorder (ASD) genes, showing that individuals with ASD and with potentially damaging single nucleotide variation (pdSNV) in these genes had lower cognitive levels and delayed age at walking, when compared to ASD participants without pdSNV. Here, we made use of a Swedish sample of individuals with ASD (called PAGES, for Population-Based Autism Genetics & Environment Study) to evaluate the frequency of pdSNV and their impact on medical and psychiatric phenotypes, using an epidemiological frame and universal health reporting. We then combine findings with those for potentially damaging copy number variation (pdCNV). Methods SNV and CNV calls were generated from whole-exome sequencing and chromosome microarray data, respectively. Birth and medical register data were used to collect phenotypes. Results Of 808 individuals assessed by sequencing, 69 (9%) had pdSNV in the 102 ASC genes, and 144 (18%) had pdSNV in the 102 ASC genes or in a larger set of curated neurodevelopmental genes (from the Deciphering Developmental Disorders study, the gene2phenotype database, and the Radboud University gene lists). Three or more individuals had pdSNV in GRIN2B, POGZ, SATB1, DYNC1H1, SCN8A, or CREBBP. In comparison, out of the 996 individuals from whom CNV were called, 105 (11%) carried one or more pdCNV, including four or more individuals with CNV in the recurrent 15q11q13, 22q11.2, and 16p11.2 loci. Carriers of pdSNV were more likely to have intellectual disability (ID) and epilepsy, while carriers of pdCNV showed increased rates of congenital anomalies and scholastic skill disorders. Carriers of either pdSNV or pdCNV were more likely to have ID, scholastic skill disorders, and epilepsy. Limitations The cohort only included individuals with autistic disorder, the more severe form of ASD, and phenotypes are defined from medical registers. Not all genes studied are definitively ASD genes, and we did not have de novo information to aid in classification. Conclusions In this epidemiological sample, rare pdSNV were more common than pdCNV and the combined yield of potentially damaging variation was substantial at 27%. The results provide compelling rationale for the use of high-throughout sequencing as part of routine clinical workup for ASD and support the development of precision medicine in ASD.

Published
2021
Full Text
View/download PDF

6. Transcriptome alterations are enriched for synapse-associated genes in the striatum of subjects with obsessive-compulsive disorder

Author

Sean C. Piantadosi, Lora L. McClain, Lambertus Klei, Jiebiao Wang, Brittany L. Chamberlain, Sara A. Springer, David A. Lewis, Bernie Devlin, and Susanne E. Ahmari

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Obsessive-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. To 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. In a joint analysis of all three regions, 904 transcripts were differentially expressed between 7 OCD versus 8 unaffected comparison subjects. Region-specific analyses highlighted a smaller number of differences, which concentrated 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 estimated that cell type fractions of medium spiny neurons were lower whereas vascular cells and astrocyte fractions were higher in tissue of OCD subjects. Together, these data provide the first unbiased examination of differentially expressed transcripts in both OFC and striatum of OCD subjects. These transcripts encoded synaptic proteins more often than expected by chance, and thus implicate the synapse as a vulnerable molecular compartment for OCD.

Published
2021
Full Text
View/download PDF

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

Author

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

Subjects
Biology (General), QH301-705.5
Abstract

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

Published
2020
Full Text
View/download PDF

8. 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

9. Direct additive genetics and maternal effect contribute to the risk of Tourette disorder

Author

Behrang Mahjani, Lambertus Klei, Ariela S Buxbaum Grice, Henrik Larsson, Christina M Hultman, Sven Sandin, Bernie Devlin, Joseph D Buxbaum, and Dorothy E Grice

Subjects
Psychiatry and Mental health, Surgery, Neurology (clinical)
Abstract

BackgroundRisk for Tourette disorder, and chronic motor or vocal tic disorders (referenced here inclusively as CTD), arise from a combination of genetic and environmental factors. While multiple studies have demonstrated the importance of direct additive genetic variation for CTD risk, little is known about the role of cross-generational transmission of genetic risk, such as maternal effect, which is not transmitted via the inherited parental genomes. Here, we partition sources of variation on CTD risk into direct additive genetic effect (narrow-sense heritability) and maternal effect.MethodsThe study population consists of 2 522 677 individuals from the Swedish Medical Birth Register, who were born in Sweden between 1 January 1973 and 31 December 2000, and followed for a diagnosis of CTD through 31 December, 2013. We used generalised linear mixed models to partition the liability of CTD into: direct additive genetic effect, genetic maternal effect and environmental maternal effect.ResultsWe identified 6227 (0.2%) individuals in the birth cohort with a CTD diagnosis. A study of half-siblings showed that maternal half-siblings had twice higher risk of developing a CTD compared with paternal ones. We estimated 60.7% direct additive genetic effect (95% credible interval, 58.5% to 62.4%), 4.8% genetic maternal effect (95% credible interval, 4.4% to 5.1%) and 0.5% environmental maternal effect (95% credible interval, 0.2% to 7%).ConclusionsOur results demonstrate genetic maternal effect contributes to the risk of CTD. Failure to account for maternal effect results in an incomplete understanding of the genetic risk architecture of CTD, as the risk for CTD is impacted by maternal effect which is above and beyond the risk from transmitted genetic effect.

Published
2023

10. 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

11. Genome-wide association study identifies new locus associated with OCD

Author

Danielle Posthuma, Bernie Devlin, Edna Grünblatt, Ying Wang, Daniele Cusi, Stephan Ruhrmann, Steven A. Rasmussen, Michael S. Breen, Julia Klawohn, Ana Gabriela Hounie, Aline S. Sampaio, Cristina Barlassina, Marta Ribasés, Jackson G. Thorp, Cynthia M. Bulik, Marco A. Grados, Dan J. Stein, Abby Fyer, Vladimir Coric, Martha J. Falkenstein, Stephanie Le Hellard, Behrang Mahjani, Nathaniel McGregor, Homero Vallada, Miguel Casas, Laurent F. Thomas, Janice Krasnow, Abraham Reichenberg, Donald W. Black, Gwyneth Zai, Norbert Kathmann, Manuel Mattheisen, Nicholas G. Martin, Jason W. Krompinger, Josep Antoni Ramos-Quiroga, Judith Becker Nissen, Helga Ask, Damiaan Denys, Carolina Cappi, Euripedes Constantino Miguel, O. Joseph Bienvenu, Bengt T. Fundin, Lisa Osiecki, Karin J. H. Verweij, Paul Sandor, Jeremy Veenstra-VanderWeele, Maureen Mulhern, Sarah E. Medland, David M. Hougaard, Lauren Erdman, Jan Haavik, James L. Kennedy, Christopher P. Walker, Jurjen J. Luykx, Tim B. Bigdeli, Ian M. Hickie, Nienke Vulink, Maurizio Turiel, Peter Falkai, Enda M. Byrne, Valentina Ciullo, Daniel A. Geller, Liang Kung-Yee, Miriam A. Schiele, Lambertus Klei, Götz Berberich, Thomas Werge, Brion S. Maher, Christie L. Burton, Julia M. Sealock, Sandra Meier, Bernadette Cullen, Stephan Ripke, Dorothy E. Grice, Richard Delorme, Ted Reichborn-Kjennerud, Dongmei Yu, Danielle C. Cath, Lili Milani, Abdel Abdellaoui, Andres Metspalu, María Soler Artigas, Maria Conceição do Rosário, Ole Mors, Brian P. Brennan, Barbara E. Stranger, Ann E. Pulver, Nora I. Strom, Joseph D. Buxbaum, Hans J. Grabe, Jens R. Wendland, Michael H. Bloch, Srdjan Djurovic, Raquel Rabionet, Angel Carracedo, Carlos N. Pato, Erika L. Nurmi, Janet L. Sobell, Kevin S. O’Connell, Michael Wagner, David R. Rosenberg, Jonathan R. I. Coleman, Jeremiah M. Scharf, Kerry J. Ressler, Jaakko Kaprio, Edwin H. Cook, Scott L. Rauch, Federica Piras, Merete Nordentoft, Christian Rück, Fabrizio Piras, John-Anker Zwart, Jason A. Elias, Christopher Pittenger, Lea K. Davis, Margaret A. Richter, Evonne McArthur, Bendik S. Winsvold, Yin Yao, James J. Crowley, David L. Pauls, Rosa Bosch, Xavier Estivil, Matthew Halvorsen, Adrian Camarena, Nancy L. Pedersen, Pino Alonso, Eric A. Storch, Bjarne Hansen, Helena Brentani, James T. McCracken, Jan Maerten Smit, Donald Hucks, Alexandra Havdahl, Gerome Breen, Christina M. Hultman, Benjamin M. Neale, Gregory L. Hanna, Mikael Landén, Christine Lochner, Dirk J.A. Smit, Fabio Macciardi, Carol A. Mathews, Nuria Lanzagorta, Laura G. Sloofman, Cristina Rodriguez-Fontenla, Michael A. Jenike, Michele T. Pato, Marion Leboyer, Humberto Nicolini, Anders D. Børglum, Maria Cristina Cavallini, Wei Guo, Benjamin D. Greenberg, Maiken Elvestad Gabrielsen, Magdalena Janecka, Mark A. Riddle, Paul S. Nestadt, Beatriz Camarena, Valsamma Eapen, Susanne Walitza, Jack Samuels, Fernando S. Goes, Nicole C.R. McLaughlin, S. Evelyn Stewart, Jennifer Reichert, Sven Sandin, Gerd Kvale, Katharina Domschke, Ole A. Andreassen, Elles de Schipper, Paul D. Arnold, Kristi Krebs, Zachary Gerring, Teemu Palviainen, Kathleen D. Askland, Alfredo Ramirez, James A. Knowles, Laura Bellodi, Kristen Hagen, Julia Boberg, Thomas V. Fernandez, Gerald Nestadt, John Piacentini, Jakob Grove, Eske M. Derks, Preben Bo Mortensen, Elinor K. Karlsson, Gianfranco Spalletta, David Mataix-Cols, Katharina Bey, and Jonas Bybjerg-Grauholm

Subjects
Genetics, business.industry, Locus (genetics), Genome-wide association study, Single-nucleotide polymorphism, Heritability, behavioral disciplines and activities, humanities, Genetic architecture, Anorexia nervosa (differential diagnoses), mental disorders, medicine, Anxiety, SNP, medicine.symptom, business
Abstract

Obsessive-compulsive disorder (OCD) is a heritable disorder, but no definitive, replicated OCD susceptibility loci have yet been identified by any genome-wide association study (GWAS). Here, we report results from a GWAS in the largest OCD case-control sample (N = 14,140 OCD cases and N = 562,117 controls) to date. We explored the genetic architecture of OCD, including its genetic relationships to other psychiatric and non-psychiatric phenotypes. In the GWAS analysis, we identified one SNP associated with OCD at a genome-wide significant level. Subsequent gene-based analyses identified additional two genes as potentially implicated in OCD pathogenesis. All SNPs combined explained 16% of the heritability of OCD. We show sub-stantial positive genetic correlations between OCD and a range of psychiatric disorders, including anxiety disorders, anorexia nervosa, and major depression. We thus for the first time provide evidence of a genome-wide locus implicated in OCD and strengthen previous literature suggesting a polygenic nature of this disorder.

Published
2021

12. How rare and common risk variation jointly affect liability for autism spectrum disorder

Author

Christina M. Hultman, Silvia De Rubeis, Anna-Carin Säll Grahnat, Abraham Reichenberg, Bernie Devlin, Nadine M. Melhem, Sven Sandin, Yangyi Lu, Lambertus Klei, Xinyi Xu, Behrang Mahjani, Klea Panayidou, Kathryn Roeder, Joseph D. Buxbaum, Gun Karlsson, and Lora McClain

Subjects
Pediatrics, medicine.medical_specialty, De novo mutation, Population, Affect (psychology), Polygenic risk score, Developmental Neuroscience, Liability, mental disorders, Genetic variation, Humans, Medicine, Genetic Predisposition to Disease, Autistic Disorder, Autism spectrum disorder, RC346-429, education, Molecular Biology, Allele frequency, education.field_of_study, business.industry, Research, Neuropsychology, Genomic-Best Linear Unbiased Prediction (G-BLUP), medicine.disease, Human genetics, Psychiatry and Mental health, Variation (linguistics), Mutation (genetic algorithm), Autism, Neurology. Diseases of the nervous system, business, Developmental Biology, Demography
Abstract

Background Genetic studies have implicated rare and common variations in liability for autism spectrum disorder (ASD). Of the discovered risk variants, those rare in the population invariably have large impact on liability, while common variants have small effects. Yet, collectively, common risk variants account for the majority of population-level variability. How these rare and common risk variants jointly affect liability for individuals requires further study. Methods To explore how common and rare variants jointly affect liability, we assessed two cohorts of ASD families characterized for rare and common genetic variations (Simons Simplex Collection and Population-Based Autism Genetics and Environment Study). We analyzed data from 3011 affected subjects, as well as two cohorts of unaffected individuals characterized for common genetic variation: 3011 subjects matched for ancestry to ASD subjects and 11,950 subjects for estimating allele frequencies. We used genetic scores, which assessed the relative burden of common genetic variation affecting risk of ASD (henceforth “burden”), and determined how this burden was distributed among three subpopulations: ASD subjects who carry a potentially damaging variant implicated in risk of ASD (“PDV carriers”); ASD subjects who do not (“non-carriers”); and unaffected subjects who are assumed to be non-carriers. Results Burden harbored by ASD subjects is stochastically greater than that harbored by control subjects. For PDV carriers, their average burden is intermediate between non-carrier ASD and control subjects. Both carrier and non-carrier ASD subjects have greater burden, on average, than control subjects. The effects of common and rare variants likely combine additively to determine individual-level liability. Limitations Only 305 ASD subjects were known PDV carriers. This relatively small subpopulation limits this study to characterizing general patterns of burden, as opposed to effects of specific PDVs or genes. Also, a small fraction of subjects that are categorized as non-carriers could be PDV carriers. Conclusions Liability arising from common and rare risk variations likely combines additively to determine risk of any individual diagnosed with ASD. On average, ASD subjects carry a substantial burden of common risk variation, even if they also carry a rare PDV affecting risk.

Published
2021

13. Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

Author

Bernie Devlin, Silvia De Rubeis, Michael E. Talkowski, Kathryn Roeder, Maureen Mulhern, Joseph D. Buxbaum, Christina Gustavsson Mahjani, Behrang Mahjani, Sven Sandin, Christina M. Hultman, Lambertus Klei, Xinyi Xu, Jack Fu, F. Kyle Satterstrom, Dorothy E. Grice, and Abraham Reichenberg

Subjects
DNA Copy Number Variations, Autism Spectrum Disorder, Population, Intellectual disability, Transposases, Copy number variant, PAGES, Developmental Neuroscience, Prevalence, Humans, Medicine, Copy-number variation, Autistic Disorder, RC346-429, education, Molecular Biology, Exome sequencing, Genetics, education.field_of_study, business.industry, Research, Whole exome sequencing, Matrix Attachment Region Binding Proteins, medicine.disease, Human genetics, Single nucleotide variant, Psychiatry and Mental health, Phenotype, Autism spectrum disorder, Cohort, Autism, Neurology. Diseases of the nervous system, business, Developmental Biology
Abstract

Background The Autism Sequencing Consortium identified 102 high-confidence autism spectrum disorder (ASD) genes, showing that individuals with ASD and with potentially damaging single nucleotide variation (pdSNV) in these genes had lower cognitive levels and delayed age at walking, when compared to ASD participants without pdSNV. Here, we made use of a Swedish sample of individuals with ASD (called PAGES, for Population-Based Autism Genetics & Environment Study) to evaluate the frequency of pdSNV and their impact on medical and psychiatric phenotypes, using an epidemiological frame and universal health reporting. We then combine findings with those for potentially damaging copy number variation (pdCNV). Methods SNV and CNV calls were generated from whole-exome sequencing and chromosome microarray data, respectively. Birth and medical register data were used to collect phenotypes. Results Of 808 individuals assessed by sequencing, 69 (9%) had pdSNV in the 102 ASC genes, and 144 (18%) had pdSNV in the 102 ASC genes or in a larger set of curated neurodevelopmental genes (from the Deciphering Developmental Disorders study, the gene2phenotype database, and the Radboud University gene lists). Three or more individuals had pdSNV in GRIN2B, POGZ, SATB1, DYNC1H1, SCN8A, or CREBBP. In comparison, out of the 996 individuals from whom CNV were called, 105 (11%) carried one or more pdCNV, including four or more individuals with CNV in the recurrent 15q11q13, 22q11.2, and 16p11.2 loci. Carriers of pdSNV were more likely to have intellectual disability (ID) and epilepsy, while carriers of pdCNV showed increased rates of congenital anomalies and scholastic skill disorders. Carriers of either pdSNV or pdCNV were more likely to have ID, scholastic skill disorders, and epilepsy. Limitations The cohort only included individuals with autistic disorder, the more severe form of ASD, and phenotypes are defined from medical registers. Not all genes studied are definitively ASD genes, and we did not have de novo information to aid in classification. Conclusions In this epidemiological sample, rare pdSNV were more common than pdCNV and the combined yield of potentially damaging variation was substantial at 27%. The results provide compelling rationale for the use of high-throughout sequencing as part of routine clinical workup for ASD and support the development of precision medicine in ASD.

Published
2021

14. Semisoft clustering of single-cell data

Author

Kathryn Roeder, Bernie Devlin, Jing Lei, Lambertus Klei, and Lingxue Zhu

Subjects
Fuzzy clustering, Computer science, 0206 medical engineering, Structure (category theory), 02 engineering and technology, Models, Biological, Set (abstract data type), 03 medical and health sciences, Matrix (mathematics), Robustness (computer science), Cluster (physics), Animals, Humans, developmental trajectories, neuronal lineages, Cluster analysis, Cell Proliferation, 030304 developmental biology, Electronic Data Processing, 0303 health sciences, single-cell RNA-seq, Multidisciplinary, business.industry, Statistics, Cell Differentiation, Pattern recognition, Expression (computer science), soft clustering, Physical Sciences, Artificial intelligence, business, Algorithms, 020602 bioinformatics
Abstract

Significance Growth typically involves differentiation of cells from progenitors into more specialized descendants, often involving lineages of pure and transitional cells to achieve final form. Recent technology has enabled estimation of gene expression profiles of single cells and these profiles theoretically differentiate pure cell types. What is missing from the analytical toolbox is an efficient technique to classify pure and transitional cells from their profiles. Here we propose semisoft clustering with pure cells (SOUP). This algorithm performs well in the hard-clustering problem for pure cell types and excels at identifying transitional cells with soft memberships. Moreover, SOUP provides an estimate of the developmental trajectories based on the estimated cell type membership that naturally adapts to cells in transition., Motivated by the dynamics of development, in which cells of recognizable types, or pure cell types, transition into other types over time, we propose a method of semisoft clustering that can classify both pure and intermediate cell types from data on gene expression from individual cells. Called semisoft clustering with pure cells (SOUP), this algorithm reveals the clustering structure for both pure cells and transitional cells with soft memberships. SOUP involves a two-step process: Identify the set of pure cells and then estimate a membership matrix. To find pure cells, SOUP uses the special block structure in the expression similarity matrix. Once pure cells are identified, they provide the key information from which the membership matrix can be computed. By modeling cells as a continuous mixture of K discrete types we obtain more parsimonious results than obtained with standard clustering algorithms. Moreover, using soft membership estimates of cell type cluster centers leads to better estimates of developmental trajectories. The strong performance of SOUP is documented via simulation studies, which show its robustness to violations of modeling assumptions. The advantages of SOUP are illustrated by analyses of two independent datasets of gene expression from a large number of cells from fetal brain.

Published
2018

15. The genetic architecture of obsessive-compulsive disorder: alleles across the frequency spectrum contribute liability to OCD

Author

Behrang Mahjani, Kathryn Roeder, Christina M. Hultman, David Mataix-Cols, Bernie Devlin, Christian Rück, Manuel Mattheisen, E. de Schipper, D.E. Grice, Julia Boberg, Matthew Halvorsen, Nancy L. Pedersen, Bengt T. Fundin, James J. Crowley, Cynthia M. Bulik, Joseph D. Buxbaum, Sven Sandin, Lambertus Klei, Mikael Landén, and Avi Reichenberg

Subjects
Minor allele frequency, Genetics, Genetic variation, Genotype, Single-nucleotide polymorphism, Heritability, Biology, Allele, Allele frequency, Genetic architecture
Abstract

ObjectiveObsessive-compulsive disorder (OCD) is known to be substantially heritable; however, the contribution of common genetic variation across the allele frequency spectrum to this heritability remains uncertain. We use two new, homogenous cohorts to estimate heritability of OCD from common genetic variation and contrast results with prior studies.MethodsThe sample consisted of 2096 Swedish-born individuals diagnosed with OCD and 4609 controls, 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, we estimated heritability of OCD, both overall and partitioned according to MAF bins.ResultsWe estimated narrow-sense heritability of 28% (SE=4%). 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 8% of heritability and estimated heritability per bin roughly follows expectations based on a simple model for SNP-based heritability.ConclusionsThese results indicate that common inherited risk variation (MAF ≥ 0.01) accounts for most of the heritable variation in OCD. SNPs with low MAF contribute meaningfully to the heritability of OCD and the results are consistent with expectation under the “infinitesimal model,” where risk is influenced by a large number of loci across the genome and across MAF bins.

Published
2021

16. Genetic maternal effects contributes to the risk of Tourette’s disorder

Author

Sven Sandin, Dorothy E. Grice, Henrik Larsson, Behrang Mahjani, Bernie Devlin, Lambertus Klei, Christina M. Hultman, and Joseph D. Buxbaum

Subjects
Birth register, business.industry, Offspring, Genetic variation, Maternal effect, Additive genetic effects, Medicine, Population study, CTD, Birth cohort, business, Demography
Abstract

BackgroundRisk for Tourette’s and related tic disorders (CTD) derives from a combination of genetic and environmental factors. While multiple studies have demonstrated the importance of direct additive genetic variation for CTD, little is known about the role of cross-generational transmission of genetic risks, such as maternal effects. Here, we partition sources of variation on CTD risk into direct additive genetic effect and maternal effects.MethodsThe study population consists of 2,522,677 individuals from the Swedish Medical Birth Register, born in Sweden between January 1, 1982, to December 31, 1990, and followed for a diagnosis of CTD through December 31, 2013.ResultsWe identified 6,227 (0.25%) individuals in the birth cohort diagnosed with CTD. Using generalized linear mixed models, we estimated 4.7% (95% CrI, 4.4%-4.8%) genetic maternal effects, 0.5% (95% CrI, 0.2%-7%) environmental maternal effects, and 61% (95% CrI, 59%-63%) direct additive genetic effects. Around 1% of genetic maternal effects were due to maternal effects from the individual with comorbid obsessive-compulsive disorder.ConclusionsOur results demonstrate genetic maternal effects contributing to the risk of CTD in offspring and also highlight new sources of overlapping risk between CTD and obsessive-compulsive disorder.

Published
2020

17. Prevalence and Phenotypic Impact of Rare Likely Pathogenic Variants in Autism Spectrum Disorder

Author

Sven Sandin, Bernie Devlin, Silvia De Rubeis, Kathryn Roeder, Behrang Mahjani, Christina Gustavsson Mahjani, A. Reichenberg, Michael E. Talkowski, Satterstrom Fk, Maureen Mulhern, D.E. Grice, Lambertus Klei, Jack Fu, Christina M. Hultman, Joseph D. Buxbaum, and Xu X

Subjects
Genetics, Autism spectrum disorder, mental disorders, medicine, Biology, medicine.disease, Phenotype, Likely pathogenic
Abstract

Background: Copy number variants (CNVs) and single nucleotide variants (SNVs) are sources of risk for autism spectrum disorder (ASD). The distribution of such pathogenic variants in individuals with ASD and the characterization of those who carry such variants versus those who do not are understudied at the population level. We describe a population sample from Sweden, evaluating the distribution of likely pathogenic variants and their impact on medical, neurological, and psychiatric phenotypes.Methods: The genotyped sample consisted of 1,236 children born in Sweden with autistic disorder, a severe form of ASD (International Classification of Diseases, Tenth Revision, code F84.0.) Of these individuals, CNVs were called from 997, while SNVs were called from 808. Results: Out of 997 individuals from whom CNVs were called, 104 (10.4 %) carried one or more likely pathogenic CNV, including 15q11q13 (n=8), 15q13.3 (n=5), 16p13.11 (n=5), 16p11.11 (n=5), 22q11.2 (n=5). Of 808 individuals assessed by whole-exome sequencing, 69 (8.5%) had a likely pathogenic SNV, including in GRIN2B (n = 6), POGZ (n = 5), SATB1 (n=4), DYNC1H1 (n=4), and CREBBP (n=3). Fourteen individuals carried two likely pathogenic CNVs, and 5 carried a likely pathogenic CNV and SNV. Carriers of likely pathogenic CNVs or SNVs were more likely to have intellectual disability (ID), scholastic skill disorders, and epilepsy, with odds ratios of 2.31 (95%CI, 1.55,3.47), 1.98 (95%CI, 1.19,3.21), and 1.63 (95%CI, 1.08,2.44) respectively. Carriers of likely pathogenic CNVs also showed significant increased rates of congenital anomalies. We compared rates of likely pathogenic CNVs, SNVs, and phenotypes from genotyped AD subjects with and without ID: rates were not significantly different between groups. Limitations: As a case-control cohort, we did not have de novo information to aid in classification. More broadly, there were judgment calls involved in identifying likely pathogenic variants. For these reasons, some misclassification is possible. In addition, phenotypes are defined from medical registers, which may lead to underestimates of milder findings.Conclusions: People with ASD who carry likely pathogenic CNVs or SNVs show increased rates of various comorbidities, most prominently ID. Despite the strong association with ID, conditioning on its presence explains little of the variation for other comorbidities and physical traits.

Published
2020

18. 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
Full Text
View/download PDF

19. 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

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

Author

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

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

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

Published
2020

21. 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

22. Functional connectome fingerprinting accuracy in youths and adults is similar when examined on the same day and 1.5-years apart

Author

Fuchen Liu, Maria Jalbrzikowski, Lambertus Klei, Bernie Devlin, William Foran, Finnegan J. Calabro, Kathryn Roeder, and Beatriz Luna

Subjects
Adult, Male, Adolescent, Human Development, Individuality, Biology, Sensitivity and Specificity, 050105 experimental psychology, Correlation, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Replication (statistics), medicine, Connectome, Humans, connectotyping, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, Longitudinal Studies, Child, Research Articles, Radiological and Ultrasound Technology, Resting state fMRI, medicine.diagnostic_test, resting‐state fMRI, personalized neuroscience, 05 social sciences, Fingerprint (computing), Brain, Default Mode Network, Cognition, Magnetic Resonance Imaging, Data set, Neurology, Female, Neurology (clinical), Anatomy, Nerve Net, Functional magnetic resonance imaging, Cartography, 030217 neurology & neurosurgery, Research Article
Abstract

Pioneering studies have shown that individual correlation measures from resting‐state functional magnetic resonance imaging studies can identify another scan from that same individual. This method is known as “connectotyping” or functional connectome “fingerprinting.” We analyzed a unique dataset of 12–30 years old (N = 140) individuals who had two distinct resting state scans on the same day and again 12–18 months later to assess the sensitivity and specificity of fingerprinting accuracy across different time scales (same day, ~1.5 years apart) and developmental periods (youths, adults). Sensitivity and specificity to identify one's own scan was high (average AUC = 0.94), although it was significantly higher in the same day (average AUC = 0.97) than 1.5‐years later (average AUC = 0.91). Accuracy in youths (average AUC = 0.93) was not significantly different from adults (average AUC = 0.96). Multiple statistical methods revealed select connections from the Frontoparietal, Default, and Dorsal Attention networks enhanced the ability to identify an individual. Identification of these features generalized across datasets and improved fingerprinting accuracy in a longitudinal replication data set (N = 208). These results provide a framework for understanding the sensitivity and specificity of fingerprinting accuracy in adolescents and adults at multiple time scales. Importantly, distinct features of one's “fingerprint” contribute to one's uniqueness, suggesting that cognitive and default networks play a primary role in the individualization of one's connectome., The ability to accurately identify an individual's resting state scan is similar in youths and adults. Identification accuracy of resting‐state functional magnetic resonance scans in both youths and adults is more accurate when scans are closer together in time. Predictive edges generalize across data sets and methods, providing a sparse feature set for identifying individual scans.

Published
2020

23. 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

24. 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

25. 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

26. Functional connectome fingerprinting accuracy in youths and adults is similar when examined on the same day and 1.5 years apart

Author

Maria Jalbrzikowski, Beatriz Luna, Fuchen Lei, Lambertus Klei, Kathryn Roeder, Bernie Devlin, Finnegan J. Calabro, and William Foran

Subjects
Data set, Correlation, Resting state fMRI, medicine.diagnostic_test, Fingerprint (computing), medicine, Connectome, Functional connectome, Cognition, Biology, Functional magnetic resonance imaging, Cartography
Abstract

Pioneering studies have shown that individual correlation measures from resting-state functional magnetic resonance imaging studies can identify another scan from that same individual. This method is known as “connectotyping” or functional connectome “fingerprinting”. We analyzed a unique dataset of 12-30 years old (N=140) individuals who had two distinct resting state scans on the same day and again 12-18 months later to assess the sensitivity and specificity of fingerprinting accuracy across different time scales (same day, ~1.5 years apart) and developmental periods (youths, adults). Sensitivity and specificity to identify one’s own scan was high (average AUC=0.94), although it was significantly higher in the same day (average AUC=0.97) than 1.5-year years later (average AUC=0.91). Accuracy in youths (average AUC=0.93) was not significantly different from adults (average AUC=0.96). Multiple statistical methods revealed select connections from the Frontoparietal, Default, and Dorsal Attention networks that enhanced the ability to identify an individual. Identification of these features generalized across datasets and improved fingerprinting accuracy in a longitudinal replication data set (N=208). These results provide a framework for understanding the sensitivity and specificity of fingerprinting accuracy in adolescents and adults at multiple time scales. Importantly, distinct features of one’s “fingerprint” contribute to one’s uniqueness, suggesting that cognitive and default networks play a primary role in the individualization of one’s connectome.

Published
2019

27. Cohort profile: Epidemiology and Genetics of Obsessive-compulsive disorder and chronic tic disorders in Sweden (EGOS)

Author

Gun Karlsson, Christina M. Hultman, Lambertus Klei, Bernie Devlin, Jennifer Reichert, Sven Sandin, Dorothy E. Grice, Joseph D. Buxbaum, Aki Tuuliainen, Christina Gustavsson Mahjani, Silvia De Rubeis, Anna-Carin Säll Grahnat, Karin Dellenvall, Behrang Mahjani, and Abraham Reichenberg

Subjects
medicine.medical_specialty, Obsessive-Compulsive Disorder, Health (social science), Social Psychology, Epidemiology, Population, Tourette syndrome, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, 030212 general & internal medicine, Prospective Studies, Prospective cohort study, education, Sampling bias, Genetics, Sweden, education.field_of_study, business.industry, Confounding, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Tic Disorders, Cohort, Etiology, business, Tourette Syndrome
Abstract

The EGOS study (Epidemiology and Genetics of Obsessive–compulsive disorder and chronic tic disorders in Sweden) is a large-scale, epidemiological, prospective cohort that is used to identify genetic and environmental risk factors in the etiology of obsessive–compulsive disorder (OCD) and chronic tic disorders (CTD). Individuals born between January 1954 and December 1998 with at least two diagnoses of OCD or CTD at different timepoints in the National Patient Register (NPR), and followed between January 1997 and December 2012, represent the EGOS source population (n = 20,374). The Swedish Multi-Generation Registry (MGR) are then used to define family relatedness for all cases and additional phenotypic and demographic data added to the resultant database. To create an epidemiologically valid subset of the source cohort that also includes biospecimens and additional phenotyping, we contact cases from within the source population. To date, 6832 invitations have been sent out and 1853 (27%) have elected to participate in the EGOS biospecimen collection. To date, 1608 biological samples have been collected, of which 1249 are genotyped and 832 supplementary Obsessive–Compulsive Inventory-Revised (OCI-R) and/or Florida Obsessive–Compulsive Inventory (FOCI) have been completed by individuals with OCD and/or CTD, age 16–64 years. DNA samples are genotyped using Infinium Global Screening Array and will undergo whole-exome sequencing in the future. Detailed information is available for each individual through linkage to the Swedish national registers, e.g., identification of additional psychiatric diagnoses, medical diagnoses, birth-related variables, and relevant demographic and social data. EGOS benefits from a genetically homogeneous sample with epidemiological ascertainment, minimizing the risk of confounding due to population stratification on ascertainment bias. In addition, this study is built upon clinical diagnoses of OCD and CTD in specialized psychiatric care, which reduces further biases and case misclassification.

Published
2019

28. T20. POLYGENIC RISK FOR SCHIZOPHRENIA IS ASSOCIATED WITH HIPPOCAMPAL VOLUME IN TYPICALLY DEVELOPING YOUTH

Author

Lambertus Klei, Bernie Devlin, and Maria Jalbrzikowski

Subjects
Psychiatry and Mental health, Typically developing, medicine.medical_specialty, Poster Session I, business.industry, Schizophrenia (object-oriented programming), Hippocampal volume, Medicine, Polygenic risk score, business, Psychiatry
Abstract

BACKGROUND: Reduced hippocampal volume in schizophrenia is a robust and consistent finding in neuroimaging literature. Although a portion of genetic liability for schizophrenia (polygenic risk scores; PRS) has been linked to reduced hippocampal volumes in first episode psychosis and youth at clinical high-risk for developing psychosis, it is unclear what causes the association, specifically does genetic risk for schizophrenia alter typical neurodevelopment, suggesting a direct causal link, or does developing schizophrenia then alter neurodevelopment post-hoc? Because schizophrenia develops during late adolescence and refinement of hippocampal connections are taking place during this period, we hypothesized that hippocampal volumes would be related to polygenic risk for schizophrenia in typically developing youth. METHODS: We used Freesurfer to process T1-weighted structural neuroimaging scans and calculate bilateral hippocampal volumes in a subset of typically developing youth of European ancestry (N=356, 8–22 years old) from the Philadelphia Developmental Cohort (PNC). All participants were free from psychiatric diagnoses and were not taking psychiatric medication, per responses to a semi-structured interview. After cleaning and imputing the genetic data, we calculated a schizophrenia PRS using genome-wide summary statistics from a Psychiatric Genome Consortium case-control comparison of common single nucleotide polymorphisms (SNPs, Ripke et. al., 2014). We also calculated a hippocampal polygenic score using genome-wide summary statistics from a CHARGE-ENIGMA study that related common SNPs to hippocampal volume (Hibar et al., 2017). Using a generalized linear model, hippocampal volume was evaluated in relation to these predictors: schizophrenia PRS, hippocampal polygenic score, principal components of ancestry, sex, age, age2, and intracranial volume. RESULTS: Within the typically developing youth, greater genetic risk for schizophrenia (higher PRS) was associated with reduced bilateral hippocampal volume (b = -0.11, p = 0.01). Approximately 34% of the variance in hippocampal volume was accounted for by the overall model, with schizophrenia PRS accounting for 1% of this variance. This relationship was driven by the right hippocampus (b = -0.13, p = 0.002), while the left hippocampus showed a similar but non-significant relationship (b = -0.07, p = 0.13). Previous neurocognitive measures that have been associated with schizophrenia PRS in the PNC (i.e., reduced speed of emotion identification and verbal reasoning) were not significantly related to hippocampal volume. DISCUSSION: Our findings, while preliminary, argue that genetic variation affecting liability to schizophrenia alters typical development of the hippocampus. It would be surprising if such variation did not influence typical brain development, here we highlight one possible pathway. Ongoing projects include exploring to what extent specific hippocampal sub-regions drive this relationship and assessing to what extent these results replicate in another sample of typically developing youth.

Published
2019

29. 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

30. 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. Klump, Paul Sandor, Michael Wagner, Philippe Courtet, Sandra Van der Auwera, Susanne Lucae, Eystein Stordal, Michel G. Nivard, Maurizio Clementi, Astrid Morer, Philip B. Mitchell, Huda Akil, Edwin H. Cook, Jennifer L. Moran, Donald W. Black, Jeremiah M. Scharf, Jana Strohmaier, Colm McDonald, Meg M.-J. Wang, Richard M. Myers, Stephanie Godard, Pablo V. Gejman, Athanasios Maras, Marcella Rietschel, Nancy G. Buccola, Konstantinos Hatzikotoulas, Dalila Pinto, Jouke-Jan Hottenga, Kari Stefansson, James S. Sutcliffe, Andres Metspalu, Amaia Hervás, Joel Gelernter, Wolfgang Herzog, Paula Rovira, Gunnar Morken, Tara Murphy, Mark Weiser, Vincent Millischer, Frank Dudbridge, Dan Rujescu, Vladimir Bencko, Valdo Ricca, Kimberly Chambert, Guy A. Rouleau, James J. Crowley, Thomas G. Schulze, Toni-Kim Clarke, Triinu Peters, Gudrun Wagner, Daniel A. Geller, Henry R. Kranzler, G. Bragi Walters, Vera Golimbet, Clement C. Zai, Nigel Williams, Andreas Birgegård, Joseph D. Buxbaum, Elliot M. Tucker-Drob, Jerome C. Foo, Tracey L. Petryshen, Daniel P. Howrigan, Hunna J. Watson, Franziska Degenhardt, Peter R. Schofield, Jesper Buchhave Poulsen, Stefan Herms, Johannes Hebebrand, Mario Maj, George Kirov, Fabrizio Piras, Sara McDevitt, James T. McCracken, Carol A. Mathews, Michael John Owen, Peter Falkai, Donald L. Gilbert, Enda M. Byrne, Fernando Fernández-Aranda, Csaba Barta, Stéphane Jamain, Jubao Duan, Dongmei Yu, Danielle C. Cath, Ole Mors, Sigrun Hope, Laramie E. Duncan, Alan R. Sanders, Sang-Yun Oh, Carsten Bøcker Pedersen, Henning Tiemeier, Roseann E. Peterson, Raymond K. Walters, Margarita C T Slof-Op 't Landt, Madeline Alexander, Stephanie Le Hellard, Ina Giegling, Annemarie A. van Elburg, Steven P. Hamilton, Vesna Boraska Perica, Thomas V. Fernandez, Danielle M. Dick, Francesco Bettella, Roel A. Ophoff, Grant W. Montgomery, Gerald Nestadt, Nakao Iwata, Jessica H. Baker, Walter H. Kaye, Jeremy M. Silverman, Mark J. Daly, Robert A. King, Sarah E. Medland, Anastasios Konstantinidis, Robert D. Oades, Samuel H. Zinner, Steven Crawford, Daniel H. Geschwind, Patrick W. L. Leung, Martin Alda, Marie Navratilova, Pak C. Sham, Paul A. Tooney, Tian Ge, Veit Roessner, Martin Preisig, Thomas Werge, Eli A. Stahl, David A. Collier, Stephanie H. Witt, Dermot Walsh, Miquel Casas, Anna Keski-Rahkonen, Jane H. Christensen, Silvia De Rubeis, Giorgio Pistis, Sven Cichon, Bruno Etain, Dominique Campion, O. Joseph Bienvenu, Christian Dina, Manolis Kogevinas, Thomas Espeseth, Benjamin M. Neale, Ditte Demontis, Klaus-Peter Lesch, Marina Mitjans, Tiffany A. Greenwood, Marcos Madruga-Garrido, Sibylle G. Schwab, Oedegaard Ketil Joachim, Hreinn Stefansson, Sara A. Paciga, Monica Forzan, Dieter B. Wildenauer, Lena Backlund, A. Jeremy Willsey, Carlos N. Pato, Nicholas John Craddock, Inge A. Meijer, Sandra K. Loo, Filip Rybakowski, Tracey D. Wade, Scott J. Crow, Bernard Lerer, Valsamma Eapen, Esben Agerbo, Andrew M. McIntosh, Luis Augusto Rohde, Susan L. McElroy, Stephan Zipfel, Peter P. Zandi, Cathryn M. Lewis, Lars Klareskog, Martin Begemann, Phil Lee, Richard Anney, Mark A. Bellgrove, Lisa Jones, Andreas J. Forstner, Agnieszka Słopień, Hilary Coon, Dong Li, Alessandro Serretti, Carsten Horn, Christos Pantelis, Ryan L. Collins, David M. Howard, Lucía Colodro-Conde, Pippa A. Thomson, Martin Hautzinger, Alysa E. Doyle, Julie Hagstrøm, Oliver S. P. Davis, Karen S. Mitchell, Jordan W. Smoller, Michael Strober, John I. Nurnberger, Andrea G. Ludolph, Monika Budde, Anna Maaser, Lambertus Klei, Aribert Rothenberger, Yulia Worbe, Fabian Streit, James L. Kennedy, Barbara E. Stranger, Ashley Dumont, Jianxin Shi, Dale R. Nyholt, Craig Johnson, Jonna Kuntsi, Yun-Joo Koh, Loes M. Olde Loohuis, Robert B. Freedman, Anke Hinney, Susanne Walitza, Enrico Domenici, Margarita Rivera, Sodahm Kook, Erica Greenberg, Tetyana Zayats, Josef Frank, Gary A. Heiman, Andrew McQuillin, Abraham Reichenberg, Piotr M. Czerski, Humberto Nicolini, Lee P.H., Anttila V., Won H., Feng Y.-C.A., Rosenthal J., Zhu Z., Tucker-Drob E.M., Nivard M.G., Grotzinger A.D., Posthuma D., Wang M.M.-J., Yu D., Stahl E.A., Walters R.K., Anney R.J.L., Duncan L.E., Ge T., Adolfsson R., Banaschewski T., Belangero S., Cook E.H., Coppola G., Derks E.M., Hoekstra P.J., Kaprio J., Keski-Rahkonen A., Kirov G., Kranzler H.R., Luykx J.J., Rohde L.A., Zai C.C., Agerbo E., Arranz M.J., Asherson P., Baekvad-Hansen M., Baldursson G., Bellgrove M., Belliveau R.A., Buitelaar J., Burton C.L., Bybjerg-Grauholm J., Casas M., Cerrato F., Chambert K., Churchhouse C., Cormand B., Crosbie J., Dalsgaard S., Demontis D., Doyle A.E., Dumont A., Elia J., Grove J., Gudmundsson O.O., Haavik J., Hakonarson H., Hansen C.S., Hartman C.A., Hawi Z., Hervas A., Hougaard D.M., Howrigan D.P., Huang H., Kuntsi J., Langley K., Lesch K.-P., Leung P.W.L., Loo S.K., Martin J., Martin A.R., McGough J.J., Medland S.E., Moran J.L., Mors O., Mortensen P.B., Oades R.D., Palmer D.S., Pedersen C.B., Pedersen M.G., Peters T., Poterba T., Poulsen J.B., Ramos-Quiroga J.A., Reif A., Ribases M., Rothenberger A., Rovira P., Sanchez-Mora C., Satterstrom F.K., Schachar R., Artigas M.S., Steinberg S., Stefansson H., Turley P., Walters G.B., Werge T., Zayats T., Arking D.E., Bettella F., Buxbaum J.D., Christensen J.H., Collins R.L., Coon H., De Rubeis S., Delorme R., Grice D.E., Hansen T.F., Holmans P.A., Hope S., Hultman C.M., Klei L., Ladd-Acosta C., Magnusson P., Naerland T., Nyegaard M., Pinto D., Qvist P., Rehnstrom K., Reichenberg A., Reichert J., Roeder K., Rouleau G.A., Saemundsen E., Sanders S.J., Sandin S., St Pourcain B., Stefansson K., Sutcliffe J.S., Talkowski M.E., Weiss L.A., Willsey A.J., Agartz I., Akil H., Albani D., Alda M., Als T.D., Anjorin A., Backlund L., Bass N., Bauer M., Baune B.T., Bellivier F., Bergen S.E., Berrettini W.H., Biernacka J.M., Blackwood D.H.R., Boen E., Budde M., Bunney W., Burmeister M., Byerley W., Byrne E.M., Cichon S., Clarke T.-K., Coleman J.R.I., Craddock N., Curtis D., Czerski P.M., Dale A.M., Dalkner N., Dannlowski U., Degenhardt F., Di Florio A., Elvsashagen T., Etain B., Fischer S.B., Forstner A.J., Forty L., Frank J., Frye M., Fullerton J.M., Gade K., Gaspar H.A., Gershon E.S., Gill M., Goes F.S., Gordon S.D., Gordon-Smith K., Green M.J., Greenwood T.A., Grigoroiu-Serbanescu M., Guzman-Parra J., Hauser J., Hautzinger M., Heilbronner U., Herms S., Hoffmann P., Holland D., Jamain S., Jones I., Jones L.A., Kandaswamy R., Kelsoe J.R., Kennedy J.L., Joachim O.K., Kittel-Schneider S., Kogevinas M., Koller A.C., Lavebratt C., Lewis C.M., Li Q.S., Lissowska J., Loohuis L.M.O., Lucae S., Maaser A., Malt U.F., Martin N.G., Martinsson L., McElroy S.L., McMahon F.J., McQuillin A., Melle I., Metspalu A., Millischer V., Mitchell P.B., Montgomery G.W., Morken G., Morris D.W., Muller-Myhsok B., Mullins N., Myers R.M., Nievergelt C.M., Nordentoft M., Adolfsson A.N., Nothen M.M., Ophoff R.A., Owen M.J., Paciga S.A., Pato C.N., Pato M.T., Perlis R.H., Perry A., Potash J.B., Reinbold C.S., Rietschel M., Rivera M., Roberson M., Schalling M., Schofield P.R., Schulze T.G., Scott L.J., Serretti A., Sigurdsson E., Smeland O.B., Stordal E., Streit F., Strohmaier J., Thorgeirsson T.E., Treutlein J., Turecki G., Vaaler A.E., Vieta E., Vincent J.B., Wang Y., Witt S.H., Zandi P., Adan R.A.H., Alfredsson L., Ando T., Aschauer H., Baker J.H., Bencko V., Bergen A.W., Birgegard A., Perica V.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., de. 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., Smoller J.W., Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Reproduction & Development (AR&D), Epidemiology and Data Science, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Psychiatry, APH - Digital Health, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Kas lab, Adult Psychiatry, Child Psychiatry, ANS - Complex Trait Genetics, Aarno Palotie / Principal Investigator, Jaakko Kaprio / Principal Investigator, Centre of Excellence in Complex Disease Genetics, Genetic Epidemiology, Department of Public Health, University Management, Anna Keski-Rahkonen / Principal Investigator, Department of Medical and Clinical Genetics, Clinicum, HUS Psychiatry, Institute for Molecular Medicine Finland, Research Programs Unit, Genomics of Neurological and Neuropsychiatric Disorders, Biological Psychology, Complex Trait Genetics, APH - Methodology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Lee, P. H., Anttila, V., Won, H., Feng, Y. -C. A., Rosenthal, J., Zhu, Z., Tucker-Drob, E. M., Nivard, M. G., Grotzinger, A. D., Posthuma, D., Wang, M. M. -J., Yu, D., Stahl, E. A., Walters, R. K., Anney, R. J. L., Duncan, L. E., Ge, T., Adolfsson, R., Banaschewski, T., Belangero, S., Cook, E. H., Coppola, G., Derks, E. M., Hoekstra, P. J., Kaprio, J., Keski-Rahkonen, A., Kirov, G., Kranzler, H. R., Luykx, J. J., Rohde, L. A., Zai, C. C., Agerbo, E., Arranz, M. J., Asherson, P., Baekvad-Hansen, M., Baldursson, G., Bellgrove, M., Belliveau, R. A., Buitelaar, J., Burton, C. L., Bybjerg-Grauholm, J., Casas, M., Cerrato, F., Chambert, K., Churchhouse, C., Cormand, B., Crosbie, J., Dalsgaard, S., Demontis, D., Doyle, A. E., Dumont, A., Elia, J., Grove, J., Gudmundsson, O. O., Haavik, J., Hakonarson, H., Hansen, C. S., Hartman, C. A., Hawi, Z., Hervas, A., Hougaard, D. M., Howrigan, D. P., Huang, H., Kuntsi, J., Langley, K., Lesch, K. -P., Leung, P. W. L., Loo, S. K., Martin, J., Martin, A. R., Mcgough, J. J., Medland, S. E., Moran, J. L., Mors, O., Mortensen, P. B., Oades, R. D., Palmer, D. S., Pedersen, C. B., Pedersen, M. G., Peters, T., Poterba, T., Poulsen, J. B., Ramos-Quiroga, J. A., Reif, A., Ribases, M., Rothenberger, A., Rovira, P., Sanchez-Mora, C., Satterstrom, F. K., Schachar, R., Artigas, M. S., Steinberg, S., Stefansson, H., Turley, P., Walters, G. B., Werge, T., Zayats, T., Arking, D. E., Bettella, F., Buxbaum, J. D., Christensen, J. H., Collins, R. L., Coon, H., De Rubeis, S., Delorme, R., Grice, D. E., Hansen, T. F., Holmans, P. A., Hope, S., Hultman, C. M., Klei, L., Ladd-Acosta, C., Magnusson, P., Naerland, T., Nyegaard, M., Pinto, D., Qvist, P., Rehnstrom, K., Reichenberg, A., Reichert, J., Roeder, K., Rouleau, G. A., Saemundsen, E., Sanders, S. J., Sandin, S., St Pourcain, B., Stefansson, K., Sutcliffe, J. S., Talkowski, M. E., Weiss, L. A., Willsey, A. J., Agartz, I., Akil, H., Albani, D., Alda, M., Als, T. D., Anjorin, A., Backlund, L., Bass, N., Bauer, M., Baune, B. T., Bellivier, F., Bergen, S. E., Berrettini, W. H., Biernacka, J. M., Blackwood, D. H. R., Boen, E., Budde, M., Bunney, W., Burmeister, M., Byerley, W., Byrne, E. M., Cichon, S., Clarke, T. -K., Coleman, J. R. I., Craddock, N., Curtis, D., Czerski, P. M., Dale, A. M., Dalkner, N., Dannlowski, U., Degenhardt, F., Di Florio, A., Elvsashagen, T., Etain, B., Fischer, S. B., Forstner, A. J., Forty, L., Frank, J., Frye, M., Fullerton, J. M., Gade, K., Gaspar, H. A., Gershon, E. S., Gill, M., Goes, F. S., Gordon, S. D., Gordon-Smith, K., Green, M. J., Greenwood, T. A., Grigoroiu-Serbanescu, M., Guzman-Parra, J., Hauser, J., Hautzinger, M., Heilbronner, U., Herms, S., Hoffmann, P., Holland, D., Jamain, S., Jones, I., Jones, L. A., Kandaswamy, R., Kelsoe, J. R., Kennedy, J. L., Joachim, O. K., Kittel-Schneider, S., Kogevinas, M., Koller, A. C., Lavebratt, C., Lewis, C. M., Li, Q. S., Lissowska, J., Loohuis, L. M. O., Lucae, S., Maaser, A., Malt, U. F., Martin, N. G., Martinsson, L., Mcelroy, S. L., Mcmahon, F. J., Mcquillin, A., Melle, I., Metspalu, A., Millischer, V., Mitchell, P. B., Montgomery, G. W., Morken, G., Morris, D. W., Muller-Myhsok, B., Mullins, N., Myers, R. M., Nievergelt, C. M., Nordentoft, M., Adolfsson, A. N., Nothen, M. M., Ophoff, R. A., Owen, M. J., Paciga, S. A., Pato, C. N., Pato, M. T., Perlis, R. H., Perry, A., Potash, J. B., Reinbold, C. S., Rietschel, M., Rivera, M., Roberson, M., Schalling, M., Schofield, P. R., Schulze, T. G., Scott, L. J., Serretti, A., Sigurdsson, E., Smeland, O. B., Stordal, E., Streit, F., Strohmaier, J., Thorgeirsson, T. E., Treutlein, J., Turecki, G., Vaaler, A. E., Vieta, E., Vincent, J. B., Wang, Y., Witt, S. H., Zandi, P., Adan, R. A. H., Alfredsson, L., Ando, T., Aschauer, H., Baker, J. H., Bencko, V., Bergen, A. W., Birgegard, A., Perica, V. 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

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

Author

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

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

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

Published
2019

32. 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

33. Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia

Author

Geraldine Dawson, Sven Sandin, Frederico Duque, Peter Holmans, Marion Leboyer, Aarno Palotie, Fritz Poustka, Richard Delorme, Stephen Sanders, Alistair T. Pagnamenta, Lonnie Zwaigenbaum, Bridget A. Fernandez, A. Jeremy Willsey, Christine M. Freitag, Christa Lese Martin, Elena Maestrini, Elena Bacchelli, Guiomar Oliveira, Jeremy R. Parr, Guy A. Rouleau, Jonas Bybjerg-Grauholm, Joseph Piven, Latha Soorya, Lauren A. Weiss, Jonathan Green, Carsten Bøcker Pedersen, Louise Gallagher, Regina Regan, Stephan Ripke, Thomas Werge, Pat Levitt, Aravinda Chakravarti, Joana Almeida, Kathryn Roeder, Catalina Betancur, Bernie Devlin, Benjamin M. Neale, Gillian Baird, Jakob Grove, Thomas Bourgeron, David H. Ledbetter, Eftichia Duketis, Karola Rehnström, Gerard D. Schellenberg, Jillian P. Casey, Preben Bo Mortensen, Patrick Bolton, Igor Martsenkovsky, Elise Robinson, Hakon Hakonarson, Vanessa H. Bal, Stacy Steinberg, Christopher Gillberg, Kathryn Tsang, Jacob A. S. Vorstman, Verneri Anttila, Suma Jacob, Judith Conroy, J. Haines, William M. McMahon, Edwin H. Cook, Ann P. Thompson, Inês C. Conceição, Mark J. Daly, Arthur P. Goldberg, Sarah E. Medland, Milica Pejovic-Milovancevic, David M. Hougaard, Shrikant Mane, Christina M. Hultman, Susana Mouga, Hreinn Stefansson, Ellen M. Wijsman, Andreas G. Chiocchetti, Ole Mors, Phil Lee, Richard Anney, Astrid M. Vicente, Veronica J. Vieland, K. Stefansson, Stephen W. Scherer, Teimuraz Silagadze, Pall Magnusson, Donna M. Martin, Merete Nordentoft, Peter Szatmari, Patrícia B. S. Celestino-Soper, Ann S Le-Couteur, Cátia Café, Arthur L. Beaudet, Kerstin Wittemeyer, Anders D. Børglum, Joel S. Bader, Christopher S. Poultney, Hailiang Huang, Alexander Kolevzon, Margaret A. Pericak-Vance, Joachim Hallmayer, Rita M. Cantor, Eric Fombonne, Andrew Green, Dan E. Arking, M. Daniele Fallin, Matthew W. State, Christine Ladd-Acosta, Silvia Derubeis, Raphael Bernier, Regina Waltes, David G. Amaral, Manuel Mattheisen, Abraham Reichenberg, Lambertus Klei, Daniel Moreno-De-Luca, Marie Bækvad-Hansen, Maretha V. Dejonge, Susan G. McGrew, Joseph D. Buxbaum, Hilary Coon, Jennifer Reichert, Michael Gill, Herman Vanengeland, Christine Søholm Hansen, Anthony P. Monaco, Nadia Bolshakova, John I. Nurnberger, Nancy J. Minshew, Michael T. Murtha, Thomas H. Wassink, Evald Saemundsen, Simon Wallace, Sean Brennan, Sean Ennis, A. Gulhan Ercan-Sencicek, Sven Bölte, Oscar Svantesson, Susan L. Santangelo, Andrew D. Paterson, Robert L. Hendren, Timothy W. Yu, Dalila Pinto, D.E. Grice, Alison Merikangas, Stephen J. Guter, Anthony J. Bailey, Bernadette Rogé, Christopher A. Walsh, Susan E. Folstein, Wendy Roberts, Sabine M. Klauck, Marianne Giørtz Pedersen, Tiago R. Magalhaes, John R. Gilbert, Irva Hertz-Picciotto, James S. Sutcliffe, Evdokia Anagnostou, Catarina Correia, Eric M. Morrow, Daniel H. Geschwind, Jennifer K. Lowe, Agatino Battaglia, Bozenna Iliadou, Michael L. Cuccaro, Catherine Lord, MRC Centre for Neuropsychiatric Genetics and Genomics [Cardiff, UK], Cardiff University, The Autism Working Group of the Psychiatric Genomics Consortium was supported by National Institutes of Mental Health (NIMH, USA) grant MH109539, MH094432 and MH094421 to M.J.D. The ACE Network was supported by MH081754 and MH100027 to D.H.G. The Autism Genetic Resource Exchange (AGRE) is a program of Autism Speaks (USA) and was supported by grant MH081810. The Autism Genome Project (AGP) was supported by grants from Autism Speaks, the Canadian Institutes of Health Research (CIHR), Genome Canada, the Health Research Board (Ireland, AUT/ 2006/1, AUT/2006/2, PD/2006/48), the Hilibrand Foundation (USA), the Medical Research Council (UK), the National Institutes of Health (USA, the National Institute of Child Health and Human Development and the National Institute of Mental Health), the Ontario Genomics Institute, and the University of Toronto McLaughlin Centre. The Simons Simplex Collection (SSC) was supported by a grant from the Simons Foundation (SFARI 124827 to the investigators of the Simons Simplex Collection Genetic Consortium), approved researchers can obtain the SSC population dataset described in this study (http://sfari.org/resources/sfari-base) by applying at https://base.sfari.org. The Gene Discovery Project of Johns Hopkins was funded by MH060007, MH081754, and the Simons Foundation. The MonBos Collection study was funded in part through a grant from the Autism Consortium of Boston. Support for the Extreme Discordant Sib-Pair (EDSP) family sample (part of the MonBos collection) was provided by the NLM Family foundation. Support for the Massachusetts General Hospital (MGH)–Finnish collaborative sample was provided by NARSAD. The PAGES collection was funded by NIMH grant MH097849. The collection of data and biomaterials that participated in the NIMH Autism Genetics Initiative has been supported by National Institute of Health grants MH52708, MH39437, MH00219, and MH00980, National Health Medical Research Council grant 0034328, and by grants from the Scottish Rite, the Spunk Fund, Inc., the Rebecca and Solomon Baker Fund, the APEX Foundation, the National Alliance for Research in Schizophrenia and Affective Disorders (NARSAD), the endowment fund of the Nancy Pritzker Laboratory (Stanford), and by gifts from the Autism Society of America, the Janet M. Grace Pervasive Developmental Disorders Fund, and families and friends of individuals with autism. The iPSYCH project is funded by The Lundbeck Foundation and the universities and university hospitals of Aarhus and Copenhagen. In addition, the genotyping of iPSYCH samples was supported by grants from the Stanley Foundation, the Simons Foundation (SFARI 311789 to MJD), and NIMH (5U01MH094432-02 to MJD). The Study to Explore Early Development (SEED) was funded by the Centers for Disease Control and Prevention (CDC) grants U10DD000180, U10DD000181, U10DD000182, U10DD000183, U10DD000184, and U10DD000498. Statistical analyses were carried out on the Genetic Cluster Computer (http://www.geneticcluster.org) hosted by SURFsara and financially supported by the Netherlands Scientific Organization (NWO 480-05-003), along with a supplement from the Dutch Brain Foundation and the VU University Amsterdam. Additional statistical analyses were performed and supported by the Trinity Centre for High Performance Computing (http://www.tchpc.tcd.ie/) funded through Science Foundation Ireland. Computational support for the PAGES collection was provided in part through the computational resources and staff expertise of the Department of Scientific Computing at the Icahn School of Medicine at Mount Sinai (https://hpc.mssm.edu). Data QC and statistical analyses of the iPSYCH samples were performed at the high-performance computing cluster GenomeDK (http://genome.au.dk) at the Center for Integrative Sequencing, iSEQ, Aarhus University. iSEQ provided computed time, data storage, and technical support for the study., Richard JL Anney, Email: anneyr@cardiff.ac.uk, Affiliation/s: MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK, Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Stephan Ripke, Email: ripke@atgu.mgh.harvard.edu, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin 10117, Germany. Verneri Anttila, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Jakob Grove, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, DK-8000, Denmark, Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, DK-8000, Denmark, Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark. Peter Holmans, Affiliation/s: MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK. Hailiang Huang, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Lambertus Klei, Affiliation/s: Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA. Phil H Lee, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA. Sarah E Medland, Affiliation/s: Queensland Institute of Medical Research Brisbane, QLD, 4006, Australia. Benjamin Neale, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Elise Robinson, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Lauren A Weiss, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA, Inst Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA. Lonnie Zwaigenbaum, Affiliation/s: Department of Pediatrics, University of Alberta, Edmonton, AB, T6G 1C9, Canada. Timothy W Yu, Affiliation/s: Division of Genetics, Children ’ s Hospital Boston, Harvard Medical School, Boston, MA 02115, USA. Kerstin Wittemeyer, Affiliation/s: School of Education, University of Birmingham, Birmingham, B15 2TT, UK. A.Jeremy Willsey, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Ellen M Wijsman, Affiliation/s: Department of Medicine, University of Washington, Seattle, WA 98195, USA, Department of Biostatistics, University of Washington, Seattle, WA 98195, USA. Thomas Werge, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Institute of Biological Psychiatry, MHC Sct Hans, Mental Health Services Copenhagen, Roskilde, Denmark, Department of Clinical Medicine, University of Copenhagen, Copenhagen, DK-2200, Denmark. Thomas H Wassink, Affiliation/s: Department of Psychiatry, Carver College of Medicine, Iowa City, IA 52242, USA. Regina Waltes, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany. Christopher A Walsh, Affiliation/s: Division of Genetics, Children ’ s Hospital Boston, Harvard Medical School, Boston, MA 02115, USA, Program in Genetics and Genomics, Harvard Medical School, Boston, MA 02115, USA, Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA, Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA, Department of Neurology, Harvard Medical School, Boston, MA 02115, USA, Simon Wallace, Affiliation/s: Department of Psychiatry, University of Oxford and Warneford Hospital, Oxford, OX3 7JX, UK. Jacob AS Vorstman, Affiliation/s: Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands. Veronica J Vieland, Affiliation/s: Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children ’ s Hospital, Columbus, OH 43205, USA. Astrid M Vicente, Affiliation/s: Instituto Nacional de Saúde Dr Ricardo Jorge, Lisboa, 1600, Portugal, Center for Biodiversity, Functional and Integrative Genomics, Campus da FCUL, Lisboa, 1649, Portugal. Herman vanEngeland, Affiliation/s: Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands. Kathryn Tsang, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA, Inst Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA. Ann P Thompson, Affiliation/s: Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, ON, L8S 4L8, Canada. Peter Szatmari, Affiliation/s: Department of Psychiatry, University of Toronto, ON, M5T 1R8, Canada. Oscar Svantesson, Affiliation/s: Karolinska Institutet, Solna, SE-171 77, Sweden. Stacy Steinberg, Affiliation/s: deCODE Genetics, Reykjavik, IS-101, Iceland. Kari Stefansson, Affiliation/s: deCODE Genetics, Reykjavik, IS-101, Iceland. Hreinn Stefansson, Affiliation/s: deCODE Genetics, Reykjavik, IS-101, Iceland. Matthew W State, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Latha Soorya, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Rush University Medical Center, Chicago, IL 60612, USA. Teimuraz Silagadze, Affiliation/s: Department of Psychiatry and Drug Addiction, Tbilisi State Medical University, Tbilisi, 0186, Georgia. Stephen W Scherer, Affiliation/s: The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, M5G 1L4, Canada, McLaughlin Centre, University of Toronto, Toronto, ON, M5G 0A4, Canada, Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada. Gerard D Schellenberg, Affiliation/s: Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19102, USA. Sven Sandin, Affiliation/s: Karolinska Institutet, Solna, SE-171 77, Sweden. Stephan J Sanders, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Evald Saemundsen, Affiliation/s: State Diagnostic and Counseling Centre, Kopavogur, IS-201, Iceland. Guy A Rouleau, Affiliation/s: Montreal Neurological Institute, Dept of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada. Bernadette Rogé, Affiliation/s: Centre d ’ Etudes et de Recherches en Psychopathologie, Toulouse University, Toulouse, 31058, France. Kathryn Roeder, Affiliation/s: Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA, Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Wendy Roberts, Affiliation/s: Autism Research Unit, The Hospital for Sick Children, Toronto, ON, M5G 1L4, Canada. Jennifer Reichert, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Abraham Reichenberg, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Karola Rehnström, Affiliation/s: Sanger Institute, Hinxton, CB10 1SA, UK. Regina Regan, Affiliation/s: National Childrens Research Centre, Our Lady ’ s Hospital Crumlin, Dublin, D12, Ireland, Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland. Fritz Poustka, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany. Christopher S Poultney, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Joseph Piven, Affiliation/s: University of North Carolina, Chapel Hill, NC 27599, USA. Dalila Pinto, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA Margaret A Pericak-Vance, Affiliation/s: The John P Hussman Institute for Human Genomics, University of Miami, Miami, FL 33101, USA. Milica Pejovic-Milovancevic, Affiliation/s: Institute of Mental Health and Medical Faculty, University of Belgrade, Belgrade, 11 000, Serbia. Marianne Giørtz Pedersen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, National Centre for Register-based Research, Aarhus University, Aarhus, Denmark, Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark. Carsten Bøcker Pedersen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark. Andrew D Paterson, Affiliation/s: Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada, The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, M5G 1L4, Canada, Dalla Lana School of Public Health, Toronto, ON, M5T 3M7, Canada. Jeremy R Parr, Affiliation/s: Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK, Institue of Health and Science, Newcastle University, Newcastle Upon Tyne, NE2 4AX, UK. Alistair T Pagnamenta, Affiliation/s: Wellcome Trust Centre for Human Genetics, OxfordUniversity,Oxford,OX37BN,UK. Guiomar Oliveira, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal, University Clinic of Pediatrics and Institute for Biomedical Imaging and Life Science, Faculty of Medicine, University of Coimbra, Coimbra, 3041-80, Portugal. John I Nurnberger, Affiliation/s: Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA, Program in Medical Neuroscience, Indiana University School of Medicine, Indianapolis, IN 46202, USA. Merete Nordentoft, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark. Michael T Murtha, Affiliation/s: Programs on Neurogenetics, Yale University School of Medicine, New Haven, CT 06520, USA. Susana Mouga, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal, University Clinic of Pediatrics and Institute for Biomedical Imaging and Life Science, Faculty of Medicine, University of Coimbra, Coimbra, 3041-80, Portugal. Preben Bo Mortensen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Na- tional Centre for Register-based Research, Aarhus University, Aarhus, Denmark, Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark, Ole Mors, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark. Eric M Morrow, Affiliation/s: Department of Psychiatry and Human Behaviour, Brown University, Providence, RI 02912, USA. Daniel Moreno-De-Luca, Affiliation/s: Department of Psychiatry and Hu- man Behaviour, Brown University, Providence, RI 02912, USA. Anthony P Monaco, Affiliation/s: Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, OX3 7BN, UK, Tufts University, Boston, MA 02155?, USA. Nancy Minshew, Affiliation/s: Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA. Alison Merikangas, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. William M McMahon, Affiliation/s: Department of Psychiatry, University of Utah, Salt Lake City, UT 84108, USA. Susan G McGrew, Affiliation/s: Department of Pediatrics, Vanderbilt University, Nashville, TN 37232, USA. Manuel Mattheisen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, DK-8000, Denmark. Igor Martsenkovsky, Affiliation/s: Department of Child, Adolescent Psychiatry and Medical-Social Rehabilitation, Ukrainian Research Institute of Social Fo- rensic Psychiatry and Drug Abuse, Kyiv, 04080, Ukraine. Donna M Martin, Affiliation/s: Department of Pediatrics and Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA. Shrikant M Mane, Affiliation/s: Yale Center for Genomic Analysis, Yale University School of Medicine, New Haven, CT 06516, USA. Pall Magnusson, Affiliation/s: Department of Child and Adolescent Psychiatry, National University Hospital, Reykjavik, IS-101, Iceland. Tiago Magalhaes, Affiliation/s: National Childrens Research Centre, Our Lady ’ s Hospital Crumlin, Dublin, D12, Ireland, Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland. Elena Maestrini, Affiliation/s: Department of Pharmacy and Biotechnology, University of Bologna, Bologna, 40126, Italy. Jennifer K Lowe, Affiliation/s: Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA, Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA, Center for Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA. Catherine Lord, Affiliation/s: Department of Psychiatry, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA. Pat Levitt, Affiliation/s: Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90027, USA. Christa LeseMartin, Affiliation/s: Autism and Developmental Medicine Institute, Geisinger Health System, Danville, PA 17837, USA. David H Ledbetter, Affiliation/s: Chief Scientific Officer, Geisinger Health System, Danville, PA 17837, USA. Marion Leboyer, Affiliation/s: FondaMental Foundation, Créteil, 94000, France, INSERM U955, Paris, 94010, France, Faculté de Médecine, Université Paris Est, Créteil, 94000, France, Department of Psychiatry, Henri Mondor-Albert Chene- vier Hospital, Assistance Publique – Hôpitaux de Paris, Créteil, 94000, France, Ann S LeCouteur, Affiliation/s: Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK, Institue of Health and Science, Newcastle University, Newcastle Upon Tyne, NE2 4AX, UK. Christine Ladd-Acosta, Affiliation/s: Department of Epidemiology, Johns Hop- kins Bloomberg School of Public Health, Baltimore, MD 21205, USA. Alexander Kolevzon, Affiliation/s: Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Sabine M Klauck, Affiliation/s: Division of Molecular Genome Analysis and Working Group Cancer Genome Research, Deutsches Krebsforschungszentrum, Heidelberg, D-69120, Germany. Suma Jacob, Affiliation/s: Institute for Juvenile Research, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA, Institute of Translational Neuroscience and Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, USA. Bozenna Iliadou, Affiliation/s: Karolinska Institutet, Solna, SE-171 77, Sweden. Christina M Hultman, Affiliation/s: Karolinska Institutet, Solna, SE-171 77, Sweden. David M Hougaard, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, DK-2300, Denmark. Irva Hertz-Picciotto, Affiliation/s: Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA 95616, USA, The MIND Institute, School of Medicine, University of California Davis, Davis, CA 95817, USA. Robert Hendren, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Christine Søholm Hansen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, DK-2300, Denmark. Jonathan L Haines, Affiliation/s: Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA. Stephen J Guter, Affiliation/s: Institute for Juvenile Research, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA. Dorothy E Grice, Affiliation/s: Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Jonathan M Green, Affiliation/s: Manchester Academic Health Sciences Centre, Manchester, M13 9NT, UK, Institute of Brain, Behaviour, and Mental Health, University of Manchester, Manchester, M13 9PT, UK. Andrew Green, Affiliation/s: Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland, Centre for Medical Genetics, Our Lady ’ s Hospital Crumlin, Dublin, D12, Ireland. Arthur P Goldberg, Affiliation/s: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Christopher Gillberg, Affiliation/s: Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, S-405 30, Sweden. John Gilbert, Affiliation/s: The John P Hussman Institute for Human Genomics, University of Miami, Miami, FL 33101, USA. Louise Gallagher, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Christine M Freitag, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany. Eric Fombonne, Affiliation/s: Department of Psychiatry and Institute for Development and Disability, Oregon Health and Science University, Portland, OR 97239, USA. Susan E Folstein, Affiliation/s: Division of Child and Adolescent Psychiatry, Department of Psychiatry, Miller School of Medicine, University of Miami, Miami, FL 33136, USA. Bridget Fernandez, Affiliation/s: Memorial University of Newfoundland, St John ’ s, NL, A1B 3X9, Canada. M.Daniele Fallin, Affiliation/s: Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. A.Gulhan Ercan-Sencicek, Affiliation/s: Programs on Neurogenetics, Yale Uni- versity School of Medicine, New Haven, CT 06520, USA. Sean Ennis, Affiliation/s: Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland, Centre for Medical Genetics, Our Lady ’ s Hospital Crumlin, Dublin, D12, Ireland. Frederico Duque, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal, University Clinic of Pediatrics and Institute for Biomedical Imaging and Life Science, Faculty of Medicine, University of Coimbra, Coimbra, 3041-80, Portugal. Eftichia Duketis, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany. Richard Delorme, Affiliation/s: FondaMental Foundation, Créteil, 94000, France, Human Genetics and Cognitive Functions Unit, Institut Pasteur, Paris, 75015, France, Centre National de la Recherche Scientifique URA 2182 Institut Pasteur, Paris, 75724, France, Department of Child and Adolescent Psychiatry, Robert Debré Hospital, Assistance Publique – Hôpitaux de Paris, Paris, 75019, France, Silvia DeRubeis, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Maretha V DeJonge, Affiliation/s: Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands. Geraldine Dawson, Affiliation/s: Duke Center for Autism and Brain Developments, Duke University School of Medicine, Durham, NC 27705, USA, Duke Institute for Brain Sciences, Duke University School of Medicine, Durham, NC 27708, USA. Michael L Cuccaro, Affiliation/s: The John P Hussman Institute for Human Genomics, University of Miami, Miami, FL 33101, USA. Catarina T Correia, Affiliation/s: Instituto Nacional de Saúde Dr Ricardo Jorge, Lisboa, 1600, Portugal, Center for Biodiversity, Functional and Integrative Genomics, Campus da FCUL, Lisboa, 1649, Portugal. Judith Conroy, Affiliation/s: Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland, Temple Street Children ’ s University Hospital, Dublin, D1, Ireland. Ines C Conceição, Affiliation/s: Instituto Nacional de Saúde Dr Ricardo Jorge, Lisboa, 1600, Portugal, Center for Biodiversity, Functional and Integrative Genomics, Campus da FCUL, Lisboa, 1649, Portugal. Andreas G Chiocchetti, Affiliation/s: Depar tment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goe the University Frankfurt, Frankfurt am Main, 60528, Germany. Patrícia BS Celestino-Soper, Affiliation/s: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indian- apolis, IN 46202, USA. Jillian Casey, Affiliation/s: Temple Street Children ’ s University Hospital, Dublin, D1, Ireland, Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland. Rita M Cantor, Affiliation/s: Department of Psychiatry, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA, Department of Human Genetics, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA. Cátia Café, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal. Jonas Bybjerg-Grauholm, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, DK-2300, Denmark. Sean Brennan, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Thomas Bourgeron, Affiliation/s: FondaMental Foundation, Créteil, 94000, France, University Paris Diderot, Sorbonne Paris Cité, Paris, 75013, France, Patrick F Bolton, Affiliation/s: Institute of Psychiatry, Kings College London, London, SE5 8AF, UK, South London and Maudsley Biomedical Research Centre for Mental Health, London, SE5 8AF, UK. Sven Bölte, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany, Department of Women ’ s and Children ’ s Health, Center of Neurodevelopmental Disorders, Karolinska Institutet, Stockholm, SE- 113 30, Sweden, Child and Adolescent Psychiatry, Center for Psychiatry Re- search, Stockholm County Council, Stockholm, SE-171 77, Sweden. Nadia Bolshakova, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Catalina Betancur, Affiliation/s: INSERM U1130, Paris, 75005, France, CNRS UMR 8246, Paris, 75005, France, Sorbonne Universités, UPMC Univ Paris 6, Neuroscience Paris Seine, Paris, 75005, France. Raphael Bernier, Affiliation/s: Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA. Arthur L Beaudet, Affiliation/s: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA. Agatino Battaglia, Affiliation/s: Stella Maris Institute for Child and Adolescent Neuropsychiatr, Pisa, 56018, Italy. Vanessa H Bal, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Gillian Baird, Affiliation/s: Paediatric Neurodisability, King ’ s Health Partners, Kings College London, London, SE1 7EH, UK. Anthony J Bailey, Affiliation/s: Department of Psychiatry, University of Oxford and Warneford Hospital, Oxford, OX3 7JX, UK, Mental Health and Addictions Research Unit, University of British Colombia, Vancouver, BC, V5Z 4H4, Canada. Marie Bækvad-Hansen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, DK-2300, Denmark. Joel S Bader, Affiliation/s: McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21218, USA. Elena Bacchelli, Affiliation/s: Department of Pharmacy and Biotechnology, University of Bologna, Bologna, 40126, Italy. Evdokia Anagnostou, Affiliation/s: Bloorview Research Institute, University of Toronto, Toronto, ON, M4G 1R8, Canada. David Amaral, Affiliation/s: The MIND Institute, School of Medicine, University of California Davis, Davis, CA 95817, USA, Department of Psychiatry, School of Medicine, University of California Davis, Davis, CA 95817, USA, Department of Behavioural Sciences, School of Medicine, University of California Davis, Davis, CA 95817, USA. Joana Almeida, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal. Anders D Børglum, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, DK-8000, Denmark. Joseph D Buxbaum, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA Aravinda Chakravarti, Affiliation/s: McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21218, USA. Edwin H Cook, Affiliation/s: Institute for Juvenile Research, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA. Hilary Coon, Affiliation/s: Department of Psychiatry, University of Utah, Salt Lake City, UT 84108, USA. Daniel H Geschwind, Affiliation/s: Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA, Center for Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA, Department of Human Genetics, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA, Michael Gill, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Hakon Hakonarson, Affiliation/s: The Center for Applied Genomics and Division of Human Genetics, Children ’ s Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA, Dept of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA. Joachim Hallmayer, Affiliation/s: Department of Psychiatry, Stanford University, Stanford, CA 94305, USA. Aarno Palotie, Affiliation/s: Sanger Institute, Hinxton, CB10 1SA, UK., Anney, Richard J. L., Ripke, Stephan, Anttila, Verneri, Grove, Jakob, Holmans, Peter, Huang, Hailiang, Klei, Lambertu, Lee, Phil H., Medland, Sarah E., Neale, Benjamin, Robinson, Elise, Weiss, Lauren A., Zwaigenbaum, Lonnie, Yu, Timothy W., Wittemeyer, Kerstin, Willsey, A. Jeremy, Wijsman, Ellen M., Werge, Thoma, Wassink, Thomas H., Waltes, Regina, Walsh, Christopher A., Wallace, Simon, Vorstman, Jacob A. S., Vieland, Veronica J., Vicente, Astrid M., Vanengeland, Herman, Tsang, Kathryn, Thompson, Ann P., Szatmari, Peter, Svantesson, Oscar, Steinberg, Stacy, Stefansson, Kari, Stefansson, Hreinn, State, Matthew W., Soorya, Latha, Silagadze, Teimuraz, Scherer, Stephen W., Schellenberg, Gerard D., Sandin, Sven, Sanders, Stephan J., Saemundsen, Evald, Rouleau, Guy A., Rogã©, Bernadette, Roeder, Kathryn, Roberts, Wendy, Reichert, Jennifer, Reichenberg, Abraham, Rehnstrã¶m, Karola, Regan, Regina, Poustka, Fritz, Poultney, Christopher S., Piven, Joseph, Pinto, Dalila, Pericak-Vance, Margaret A., Pejovic-Milovancevic, Milica, Pedersen, Marianne Giørtz, Pedersen, Carsten Bøcker, Paterson, Andrew D., Parr, Jeremy R., Pagnamenta, Alistair T., Oliveira, Guiomar, Nurnberger, John I., Nordentoft, Merete, Murtha, Michael T., Mouga, Susana, Mortensen, Preben Bo, Mors, Ole, Morrow, Eric M., Moreno-De-Luca, Daniel, Monaco, Anthony P., Minshew, Nancy, Merikangas, Alison, Mcmahon, William M., Mcgrew, Susan G., Mattheisen, Manuel, Martsenkovsky, Igor, Martin, Donna M., Mane, Shrikant M., Magnusson, Pall, Magalhaes, Tiago, Maestrini, Elena, Lowe, Jennifer K., Lord, Catherine, Levitt, Pat, Martin, Christa Lese, Ledbetter, David H., Leboyer, Marion, Lecouteur, Ann S., Ladd-Acosta, Christine, Kolevzon, Alexander, Klauck, Sabine M., Jacob, Suma, Iliadou, Bozenna, Hultman, Christina M., Hougaard, David M., Hertz-Picciotto, Irva, Hendren, Robert, Hansen, Christine Søholm, Haines, Jonathan L., Guter, Stephen J., Grice, Dorothy E., Green, Jonathan M., Green, Andrew, Goldberg, Arthur P., Gillberg, Christopher, Gilbert, John, Gallagher, Louise, Freitag, Christine M., Fombonne, Eric, Folstein, Susan E., Fernandez, Bridget, Fallin, M. Daniele, Ercan-Sencicek, A. Gulhan, Ennis, Sean, Duque, Frederico, Duketis, Eftichia, Delorme, Richard, Derubeis, Silvia, Dejonge, Maretha V., Dawson, Geraldine, Cuccaro, Michael L., Correia, Catarina T., Conroy, Judith, Conceiã§ã£o, Ines C., Chiocchetti, Andreas G., Celestino-Soper, Patrícia B. S., Casey, Jillian, Cantor, Rita M., Cafã©, Cã¡tia, Bybjerg-Grauholm, Jona, Brennan, Sean, Bourgeron, Thoma, Bolton, Patrick F., Bã¶lte, Sven, Bolshakova, Nadia, Betancur, Catalina, Bernier, Raphael, Beaudet, Arthur L., Battaglia, Agatino, Bal, Vanessa H., Baird, Gillian, Bailey, Anthony J., Bækvad-Hansen, Marie, Bader, Joel S., Bacchelli, Elena, Anagnostou, Evdokia, Amaral, David, Almeida, Joana, Bã¸rglum, Anders D., Buxbaum, Joseph D., Chakravarti, Aravinda, Cook, Edwin H., Coon, Hilary, Geschwind, Daniel H., Gill, Michael, Hallmayer, Joachim, Palotie, Aarno, Santangelo, Susan, Sutcliffe, James S., Arking, Dan E., Devlin, Bernie, Daly, Mark J., Hakonarson, Hakon, Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Fondation FondaMental [Créteil], 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), 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), and 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)

Subjects
0301 basic medicine, Male, INTELLECTUAL DISABILITY, Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium, Autism, Neurodevelopment, Gene Expression, Genome-wide association study, [SDV.GEN] Life Sciences [q-bio]/Genetics, lcsh:RC346-429, 0302 clinical medicine, 2.1 Biological and endogenous factors, Pair 10, Copy-number variation, Aetiology, Autism spectrum disorder, Genetics, Adaptor Proteins, Forkhead Transcription Factors, Serious Mental Illness, 3. Good health, Mental Health, Psychiatry and Mental Health, Meta-analysis, Female, Biotechnology, Human, Autismo, Genetic correlation, Intellectual and Developmental Disabilities (IDD), Clinical Sciences, Gene-set analysi, Genomics, Locus (genetics), FOXP1, Biology, Chromosomes, Heritability, 03 medical and health sciences, Plasma Membrane Calcium-Transporting ATPases, Developmental Neuroscience, REVEALS, mental disorders, LINKAGE, medicine, Journal Article, Humans, Genetic Predisposition to Disease, Meta-analysi, GENOME-WIDE ASSOCIATION, COMMON, Genotyping, Molecular Biology, lcsh:Neurology. Diseases of the nervous system, COPY NUMBER VARIATION, Genetic association, Adaptor Proteins, Signal Transducing, Homeodomain Proteins, [SDV.GEN]Life Sciences [q-bio]/Genetics, Chromosomes, Human, Pair 10, Research, Human Genome, Signal Transducing, Neurosciences, Membrane Proteins, medicine.disease, RISK LOCI, R1, Brain Disorders, Repressor Proteins, 030104 developmental biology, Genetic Loci, Case-Control Studies, Perturbações do Desenvolvimento Infantil e Saúde Mental, Schizophrenia, Carrier Proteins, Gene-set analysis, MENTAL-RETARDATION, SCAN, 030217 neurology & neurosurgery, Transcription Factors, Developmental Biology
Abstract

Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium - Collaborators (162): Anney RJL, Ripke S, Anttila V, Grove J, Holmans P, Huang H, Klei L, Lee PH, Medland SE, Neale B, Robinson E, Weiss LA, Zwaigenbaum L, Yu TW, Wittemeyer K, Willsey AJ, Wijsman EM, Werge T, Wassink TH, Waltes R, Walsh CA, Wallace S, Vorstman JAS, Vieland VJ, Vicente AM, vanEngeland H, Tsang K, Thompson AP, Szatmari P, Svantesson O, Steinberg S, Stefansson K, Stefansson H, State MW, Soorya L, Silagadze T, Scherer SW, Schellenberg GD, Sandin S, Sanders SJ, Saemundsen E, Rouleau GA, Rogé B, Roeder K, Roberts W, Reichert J, Reichenberg A, Rehnström K, Regan R, Poustka F, Poultney CS, Piven J, Pinto D, Pericak-Vance MA, Pejovic-Milovancevic M, Pedersen MG, Pedersen CB, Paterson AD, Parr JR, Pagnamenta AT, Oliveira G, Nurnberger JI, Nordentoft M, Murtha MT, Mouga S, Mortensen PB, Mors O, Morrow EM, Moreno-De-Luca D, Monaco AP, Minshew N, Merikangas A, McMahon WM, McGrew SG, Mattheisen M, Martsenkovsky I, Martin DM, Mane SM, Magnusson P, Magalhaes T, Maestrini E, Lowe JK, Lord C, Levitt P, Martin CL, Ledbetter DH, Leboyer M, LeCouteur AS, Ladd-Acosta C, Kolevzon A, Klauck SM, Jacob S, Iliadou B, Hultman CM, Hougaard DM, Hertz-Picciotto I, Hendren R, Hansen CS, Haines JL, Guter SJ, Grice DE, Green JM, Green A, Goldberg AP, Gillberg C, Gilbert J, Gallagher L, Freitag CM, Fombonne E, Folstein SE, Fernandez B, Fallin MD, Ercan-Sencicek AG, Ennis S, Duque F, Duketis E, Delorme R, DeRubeis S, DeJonge MV, Dawson G, Cuccaro ML, Correia CT, Conroy J, Conceição IC, Chiocchetti AG, Celestino-Soper PBS, Casey J, Cantor RM, Café C, Bybjerg-Grauholm J, Brennan S, Bourgeron T, Bolton PF, Bölte S, Bolshakova N, Betancur C, Bernier R, Beaudet AL, Battaglia A, Bal VH, Baird G, Bailey AJ, Bækvad-Hansen M, Bader JS, Bacchelli E, Anagnostou E, Amaral D, Almeida J, Børglum AD, Buxbaum JD, Chakravarti A, Cook EH, Coon H, Geschwind DH, Gill M, Hallmayer J, Palotie A, Santangelo S, Sutcliffe JS, Arking DE, Devlin B, Daly MJ. Astrid M. Vicente .- Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis do INSA. PMS free full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441062/ Background: Over the past decade genome-wide association studies (GWAS) have been applied to aid in the understanding of the biology of traits. The success of this approach is governed by the underlying effect sizes carried by the true risk variants and the corresponding statistical power to observe such effects given the study design and sample size under investigation. Previous ASD GWAS have identified genome-wide significant (GWS) risk loci; however, these studies were of only of low statistical power to identify GWS loci at the lower effect sizes (odds ratio (OR)

Published
2017

34. Analysis of Shared Haplotypes amongst Palauans Maps Loci for Psychotic Disorders to 4q28 and 5q23-q31

Author

William Byerley, Bernie Devlin, Josepha Tiobech, Lambertus Klei, Victor Yano, Marina Myles-Worsley, Kathryn Roeder, Nadine M. Melhem, Stephen V. Faraone, Youeun Song, Frank A. Middleton, Corneliu A. Bodea, and Pearl Marumoto

Subjects
Genetics, Original Paper, education.field_of_study, Population, Haplotype, General Medicine, Biology, medicine.disease, Penetrance, Identity by descent, Genome, Genetic linkage, Schizophrenia, Genetic variation, medicine, education
Abstract

To localize genetic variation affecting risk for psychotic disorders in the population of Palau, we genotyped DNA samples from 203 Palauan individuals diagnosed with psychotic disorders, broadly defined, and 125 control subjects using a genome-wide single nucleotide polymorphism array. Palau has unique features advantageous for this study: due to its population history, Palauans are substantially interrelated; affected individuals often, but not always, cluster in families; and we have essentially complete ascertainment of affected individuals. To localize risk variants to genomic regions, we evaluated long-shared haplotypes, ≥10 Mb, identifying clusters of affected individuals who share such haplotypes. This extensive sharing, typically identical by descent, was significantly greater in cases than population controls, even after controlling for relatedness. Several regions of the genome exhibited substantial excess of shared haplotypes for affected individuals, including 3p21, 3p12, 4q28, and 5q23-q31. Two of these regions, 4q28 and 5q23-q31, showed significant linkage by traditional LOD score analysis and could harbor variants of more sizeable risk for psychosis or a multiplicity of risk variants. The pattern of haplotype sharing in 4q28 highlights PCDH10, encoding a cadherin-related neuronal receptor, as possibly involved in risk.

Published
2016

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

Author

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

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

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

Published
2018
Full Text
View/download PDF

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

Author

Donna M, Werling, Harrison, Brand, Joon-Yong, An, Matthew R, Stone, Lingxue, Zhu, Joseph T, Glessner, Ryan L, Collins, Shan, Dong, Ryan M, Layer, Eirene, Markenscoff-Papadimitriou, Andrew, Farrell, Grace B, Schwartz, Harold Z, Wang, Benjamin B, Currall, Xuefang, Zhao, Jeanselle, Dea, Clif, Duhn, Carolyn A, Erdman, Michael C, Gilson, Rachita, Yadav, Robert E, Handsaker, Seva, Kashin, Lambertus, Klei, Jeffrey D, Mandell, Tomasz J, Nowakowski, Yuwen, Liu, Sirisha, Pochareddy, Louw, Smith, Michael F, Walker, Matthew J, Waterman, Xin, He, Arnold R, Kriegstein, John L, Rubenstein, Nenad, Sestan, Steven A, McCarroll, Benjamin M, Neale, Hilary, Coon, A Jeremy, Willsey, Joseph D, Buxbaum, Mark J, Daly, Matthew W, State, Aaron R, Quinlan, Gabor T, Marth, Kathryn, Roeder, Bernie, Devlin, Michael E, Talkowski, and Stephan J, Sanders

Subjects
Male, Genome, INDEL Mutation, Autism Spectrum Disorder, Humans, Protein Isoforms, Female, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, 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

37. 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

38. 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
Full Text
View/download PDF

39. Common risk variants identified in autism spectrum disorder

Author

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

Subjects
0303 health sciences, business.industry, medicine.disease, behavioral disciplines and activities, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Text mining, Autism spectrum disorder, mental disorders, Medicine, business, 030217 neurology & neurosurgery, 030304 developmental biology, Clinical psychology
Abstract

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

Published
2017

40. 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

41. 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

42. Limited contribution of rare, noncoding variation to autism spectrum disorder from sequencing of 2,076 genomes in quartet families

Author

Kathryn Roeder, Stephen Sanders, Joseph T. Glessner, Louw Smith, Neale Bm, Seva Kashin, Arnold R. Kriegstein, Bernie Devlin, Steven A. McCarroll, Tomasz J. Nowakowski, Benjamin Currall, Matthew W. State, Ryan M. Layer, Sirisha Pochareddy, Robert E. Handsaker, Eiriene-Chloe Markenscoff-Papadimitriou, Joseph D. Buxbaum, Shan Dong, Andrew Farrell, Jeffrey D. Mandell, Yuwen Liu, Xin He, Lambertus Klei, Lingxue Zhu, Grace Schwartz, Mark J. Daly, Joon Yong An, Michael C. Gilson, Harold Z. Wang, Mathew J Waterman, Michael E. Talkowski, Matthew R. Stone, Gabor T. Marth, Hilary Coon, A. Jeremy Willsey, Harrison Brand, Jeanselle Dea, Donna M. Werling, Ryan L. Collins, Clif Duhn, Nenad Sestan, John L.R. Rubenstein, Michael F. Walker, Carolyn A. Erdman, and Aaron R. Quinlan

Subjects
Whole genome sequencing, Genetics, 0303 health sciences, Genomics, Biology, medicine.disease, Genome, Structural variation, 03 medical and health sciences, 0302 clinical medicine, Variation (linguistics), Autism spectrum disorder, medicine, Coding region, Missense mutation, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

SummaryGenomic studies to date in autism spectrum disorder (ASD) have largely focused on newly arising mutations that disrupt protein coding sequence and strongly influence risk. We evaluate the contribution of noncoding regulatory variation across the size and frequency spectrum through whole genome sequencing of 519 ASD cases, their unaffected sibling controls, and parents. Cases carry a small excess of de novo (1.02-fold) noncoding variants, which is not significant after correcting for paternal age. Assessing 51,801 regulatory classes, no category is significantly associated with ASD after correction for multiple testing. The strongest signals are observed in coding regions, including structural variation not detected by previous technologies and missense variation. While rare noncoding variation likely contributes to risk in neurodevelopmental disorders, no category of variation has impact equivalent to loss-of-function mutations. Average effect sizes are likely to be smaller than that for coding variation, requiring substantially larger samples to quantify this risk.

Published
2017
Full Text
View/download PDF

43. 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

44. 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

45. 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

46. Modest Impact on Risk for Autism Spectrum Disorder of Rare Copy Number Variants at 15q11.2, Specifically Breakpoints 1 to 2

Author

David H. Ledbetter, Timothy W. Yu, Matthew W. State, Christopher A. Walsh, James S. Sutcliffe, Michael T. Murtha, Dorothy E. Grice, Edwin H. Cook, Lambertus Klei, Daniel Moreno-De-Luca, Pauline Chaste, Bernie Devlin, Shrikant Mane, Donna M. Martin, Arthur L. Beaudet, A. Jeremy Willsey, Soo Jeong Kim, Daniel H. Geschwind, Jennifer K. Lowe, Kommu N. Mohan, Stephen Sanders, Catherine Lord, Eric M. Morrow, Youeun Song, Eric Fombonne, Vanessa Hus, and Christa Lese Martin

Subjects
Proband, Genetics, congenital, hereditary, and neonatal diseases and abnormalities, medicine.medical_specialty, endocrine system diseases, General Neuroscience, Transmission disequilibrium test, Biology, medicine.disease, behavioral disciplines and activities, Penetrance, Chromosome 15, Autism spectrum disorder, mental disorders, medicine, Autism, Medical genetics, Neurology (clinical), Copy-number variation, Genetics (clinical)
Abstract

The proximal region of chromosome 15 is one of the genomic hotspots for copy number variants (CNVs). Among the rearrangements observed in this region, CNVs from the interval between the common breakpoints 1 and 2 (BP1 and BP2) have been reported cosegregating with autism spectrum disorder (ASD). Although evidence supporting an association between BP1-BP2 CNVs and autism accumulates, the magnitude of the effect of BP1-BP2 CNVs remains elusive, posing a great challenge to recurrence-risk counseling. To gain further insight into their pathogenicity for ASD, we estimated the penetrance of the BP1-BP2 CNVs for ASD as well as their effects on ASD-related phenotypes in a well-characterized ASD sample (n = 2525 families). Transmission disequilibrium test revealed significant preferential transmission only for the duplicated chromosome in probands (20T:9NT). The penetrance of the BP1-BP2 CNVs for ASD was low, conferring additional risks of 0.3% (deletion) and 0.8% (duplication). Stepwise regression analyses suggest a greater effect of the CNVs on ASD-related phenotype in males and when maternally inherited. Taken together, the results are consistent with BP1-BP2 CNVs as risk factors for autism. However, their effect is modest, more akin to that seen for common variants. To be consistent with the current American College of Medical Genetics guidelines for interpretation of postnatal CNV, the BP1-BP2 deletion and duplication CNVs would probably best be classified as variants of uncertain significance (VOUS): they appear to have an impact on risk, but one so modest that these CNVs do not merit pathogenic status.

Published
2014

47. 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
Full Text
View/download PDF

49. T63GENETIC AND ENVIRONMENTAL FACTORS AND RISK OF OBSESSIVE-COMPULSIVE DISORDER

Author

Sven Sandin, Henrik Larsson, Christina M. Hultman, Behrang Mahjani, Joseph D. Buxbaum, Dorothy E. Grice, Lambertus Klei, and Bernie Devlin

Subjects
Pharmacology, Psychiatry and Mental health, medicine.medical_specialty, Neurology, Obsessive compulsive, medicine, Pharmacology (medical), Neurology (clinical), Psychology, Psychiatry, Biological Psychiatry
Published
2019

50. 43 SCHIZOPHRENIA POLYGENIC RISK IS ASSOCIATED WITH BRAIN MATURATION IN TYPICALLY DEVELOPING YOUTH

Author

Bernie Devlin, Beatriz Luna, Lambertus Klei, Maria Jalbrzikowski, and William Foran

Subjects
Pharmacology, business.industry, Schizophrenia (object-oriented programming), Brain maturation, Psychiatry and Mental health, Typically developing, Neurology, Medicine, Pharmacology (medical), Polygenic risk score, Neurology (clinical), business, Neuroscience, Biological Psychiatry
Published
2019

Catalog

Books, media, physical & digital resources
See catalog results