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1. Cognition in Schizophrenia.

Author: Stefansson H and Stefansson K
Subjects: Cognition, DNA Copy Number Variations, Humans, Schizophrenic Psychology, Schizophrenia
Published: 2021
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2. 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans.

Author: Sønderby IE, van der Meer D, Moreau C, Kaufmann T, Walters GB, Ellegaard M, Abdellaoui A, Ames D, Amunts K, Andersson M, Armstrong NJ, Bernard M, Blackburn NB, Blangero J, Boomsma DI, Brodaty H, Brouwer RM, Bülow R, Bøen R, Cahn W, Calhoun VD, Caspers S, Ching CRK, Cichon S, Ciufolini S, Crespo-Facorro B, Curran JE, Dale AM, Dalvie S, Dazzan P, de Geus EJC, de Zubicaray GI, de Zwarte SMC, Desrivieres S, Doherty JL, Donohoe G, Draganski B, Ehrlich S, Eising E, Espeseth T, Fejgin K, Fisher SE, Fladby T, Frei O, Frouin V, Fukunaga M, Gareau T, Ge T, Glahn DC, Grabe HJ, Groenewold NA, Gústafsson Ó, Haavik J, Haberg AK, Hall J, Hashimoto R, Hehir-Kwa JY, Hibar DP, Hillegers MHJ, Hoffmann P, Holleran L, Holmes AJ, Homuth G, Hottenga JJ, Hulshoff Pol HE, Ikeda M, Jahanshad N, Jockwitz C, Johansson S, Jönsson EG, Jørgensen NR, Kikuchi M, Knowles EEM, Kumar K, Le Hellard S, Leu C, Linden DEJ, Liu J, Lundervold A, Lundervold AJ, Maillard AM, Martin NG, Martin-Brevet S, Mather KA, Mathias SR, McMahon KL, McRae AF, Medland SE, Meyer-Lindenberg A, Moberget T, Modenato C, Sánchez JM, Morris DW, Mühleisen TW, Murray RM, Nielsen J, Nordvik JE, Nyberg L, Loohuis LMO, Ophoff RA, Owen MJ, Paus T, Pausova Z, Peralta JM, Pike GB, Prieto C, Quinlan EB, Reinbold CS, Marques TR, Rucker JJH, Sachdev PS, Sando SB, Schofield PR, Schork AJ, Schumann G, Shin J, Shumskaya E, Silva AI, Sisodiya SM, Steen VM, Stein DJ, Strike LT, Suzuki IK, Tamnes CK, Teumer A, Thalamuthu A, Tordesillas-Gutiérrez D, Uhlmann A, Ulfarsson MO, van 't Ent D, van den Bree MBM, Vanderhaeghen P, Vassos E, Wen W, Wittfeld K, Wright MJ, Agartz I, Djurovic S, Westlye LT, Stefansson H, Stefansson K, Jacquemont S, Thompson PM, and Andreassen OA
Subjects: Brain diagnostic imaging, Chromosome Deletion, Cognition, Female, Humans, Male, DNA Copy Number Variations, Schizophrenia genetics
Abstract: Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown. We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK Biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48% male) derived from 15 distinct magnetic resonance imaging scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK Biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with the largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK Biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers-the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function.
Published: 2021
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3. Attention-deficit hyperactivity disorder shares copy number variant risk with schizophrenia and autism spectrum disorder.

Author: Gudmundsson OO, Walters GB, Ingason A, Johansson S, Zayats T, Athanasiu L, Sonderby IE, Gustafsson O, Nawaz MS, Jonsson GF, Jonsson L, Knappskog PM, Ingvarsdottir E, Davidsdottir K, Djurovic S, Knudsen GPS, Askeland RB, Haraldsdottir GS, Baldursson G, Magnusson P, Sigurdsson E, Gudbjartsson DF, Stefansson H, Andreassen OA, Haavik J, Reichborn-Kjennerud T, and Stefansson K
Subjects: Adolescent, Adult, Case-Control Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Iceland, Male, Norway, Polymorphism, Single Nucleotide, Attention Deficit Disorder with Hyperactivity genetics, Autism Spectrum Disorder genetics, DNA Copy Number Variations, Schizophrenia genetics
Abstract: Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable common childhood-onset neurodevelopmental disorder. Some rare copy number variations (CNVs) affect multiple neurodevelopmental disorders such as intellectual disability, autism spectrum disorders (ASD), schizophrenia and ADHD. The aim of this study is to determine to what extent ADHD shares high risk CNV alleles with schizophrenia and ASD. We compiled 19 neuropsychiatric CNVs and test 14, with sufficient power, for association with ADHD in Icelandic and Norwegian samples. Eight associate with ADHD; deletions at 2p16.3 (NRXN1), 15q11.2, 15q13.3 (BP4 & BP4.5-BP5) and 22q11.21, and duplications at 1q21.1 distal, 16p11.2 proximal, 16p13.11 and 22q11.21. Six of the CNVs have not been associated with ADHD before. As a group, the 19 CNVs associate with ADHD (OR = 2.43, P = 1.6 × 10 -21 ), even when comorbid ASD and schizophrenia are excluded from the sample. These results highlight the pleiotropic effect of the neuropsychiatric CNVs and add evidence for ADHD, ASD and schizophrenia being related neurodevelopmental disorders rather than distinct entities.
Published: 2019
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4. Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection.

Author: Pardiñas AF, Holmans P, Pocklington AJ, Escott-Price V, Ripke S, Carrera N, Legge SE, Bishop S, Cameron D, Hamshere ML, Han J, Hubbard L, Lynham A, Mantripragada K, Rees E, MacCabe JH, McCarroll SA, Baune BT, Breen G, Byrne EM, Dannlowski U, Eley TC, Hayward C, Martin NG, McIntosh AM, Plomin R, Porteous DJ, Wray NR, Caballero A, Geschwind DH, Huckins LM, Ruderfer DM, Santiago E, Sklar P, Stahl EA, Won H, Agerbo E, Als TD, Andreassen OA, Bækvad-Hansen M, Mortensen PB, Pedersen CB, Børglum AD, Bybjerg-Grauholm J, Djurovic S, Durmishi N, Pedersen MG, Golimbet V, Grove J, Hougaard DM, Mattheisen M, Molden E, Mors O, Nordentoft M, Pejovic-Milovancevic M, Sigurdsson E, Silagadze T, Hansen CS, Stefansson K, Stefansson H, Steinberg S, Tosato S, Werge T, Collier DA, Rujescu D, Kirov G, Owen MJ, O'Donovan MC, and Walters JTR
Subjects: Alleles, Case-Control Studies, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Inheritance Patterns, Genes, Lethal genetics, Polymorphism, Single Nucleotide, Schizophrenia genetics, Selection, Genetic
Abstract: Schizophrenia is a debilitating psychiatric condition often associated with poor quality of life and decreased life expectancy. Lack of progress in improving treatment outcomes has been attributed to limited knowledge of the underlying biology, although large-scale genomic studies have begun to provide insights. We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci. We also show for the first time that the common variant association signal is highly enriched among genes that are under strong selective pressures. These findings provide new insights into the biology and genetic architecture of schizophrenia, highlight the importance of mutation-intolerant genes and suggest a mechanism by which common risk variants persist in the population.
Published: 2018
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5. Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction.

Author: Reginsson GW, Ingason A, Euesden J, Bjornsdottir G, Olafsson S, Sigurdsson E, Oskarsson H, Tyrfingsson T, Runarsdottir V, Hansdottir I, Steinberg S, Stefansson H, Gudbjartsson DF, Thorgeirsson TE, and Stefansson K
Subjects: Aged, Aged, 80 and over, Alcoholism genetics, Female, Humans, Iceland, Male, Middle Aged, Multifactorial Inheritance, Odds Ratio, Risk, Bipolar Disorder genetics, Cigarette Smoking genetics, Schizophrenia genetics, Substance-Related Disorders genetics, Tobacco Use Disorder genetics
Abstract: We use polygenic risk scores (PRSs) for schizophrenia (SCZ) and bipolar disorder (BPD) to predict smoking, and addiction to nicotine, alcohol or drugs in individuals not diagnosed with psychotic disorders. Using PRSs for 144 609 subjects, including 10 036 individuals admitted for in-patient addiction treatment and 35 754 smokers, we find that diagnoses of various substance use disorders and smoking associate strongly with PRSs for SCZ (P = 5.3 × 10 -50 -1.4 × 10 -6 ) and BPD (P = 1.7 × 10 -9 -1.9 × 10 -3 ), showing shared genetic etiology between psychosis and addiction. Using standardized scores for SCZ and BPD scaled to a unit increase doubling the risk of the corresponding disorder, the odds ratios for alcohol and substance use disorders range from 1.19 to 1.31 for the SCZ-PRS, and from 1.07 to 1.29 for the BPD-PRS. Furthermore, we show that as regular smoking becomes more stigmatized and less prevalent, these biological risk factors gain importance as determinants of the behavior., (© 2017 Decode genetics EHF. Addiction Biology published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)
Published: 2018
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6. Reproductive fitness and genetic risk of psychiatric disorders in the general population.

Author: Mullins N, Ingason A, Porter H, Euesden J, Gillett A, Ólafsson S, Gudbjartsson DF, Lewis CM, Sigurdsson E, Saemundsen E, Gudmundsson ÓÓ, Frigge ML, Kong A, Helgason A, Walters GB, Gustafsson O, Stefansson H, and Stefansson K
Subjects: Adult, Aged, Aged, 80 and over, Female, Genetic Predisposition to Disease, Genetics, Population, Genotype, Humans, Iceland, Male, Middle Aged, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Attention Deficit Disorder with Hyperactivity genetics, Autistic Disorder genetics, Bipolar Disorder genetics, Genetic Fitness, Schizophrenia genetics
Abstract: The persistence of common, heritable psychiatric disorders that reduce reproductive fitness is an evolutionary paradox. Here, we investigate the selection pressures on sequence variants that predispose to schizophrenia, autism, bipolar disorder, major depression and attention deficit hyperactivity disorder (ADHD) using genomic data from 150,656 Icelanders, excluding those diagnosed with these psychiatric diseases. Polygenic risk of autism and ADHD is associated with number of children. Higher polygenic risk of autism is associated with fewer children and older age at first child whereas higher polygenic risk of ADHD is associated with having more children. We find no evidence for a selective advantage of a high polygenic risk of schizophrenia or bipolar disorder. Rare copy-number variants conferring moderate to high risk of psychiatric illness are associated with having fewer children and are under stronger negative selection pressure than common sequence variants.
Published: 2017
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7. Parental Origin of Interstitial Duplications at 15q11.2-q13.3 in Schizophrenia and Neurodevelopmental Disorders.

Author: Isles AR, Ingason A, Lowther C, Walters J, Gawlick M, Stöber G, Rees E, Martin J, Little RB, Potter H, Georgieva L, Pizzo L, Ozaki N, Aleksic B, Kushima I, Ikeda M, Iwata N, Levinson DF, Gejman PV, Shi J, Sanders AR, Duan J, Willis J, Sisodiya S, Costain G, Werge TM, Degenhardt F, Giegling I, Rujescu D, Hreidarsson SJ, Saemundsen E, Ahn JW, Ogilvie C, Girirajan SD, Stefansson H, Stefansson K, O'Donovan MC, Owen MJ, Bassett A, and Kirov G
Subjects: Angelman Syndrome pathology, Autism Spectrum Disorder pathology, Chromosome Duplication genetics, Chromosomes, Human, Pair 15 genetics, DNA Copy Number Variations genetics, Female, Genomic Imprinting genetics, Humans, Male, Neurodevelopmental Disorders genetics, Neurodevelopmental Disorders pathology, Phenotype, Prader-Willi Syndrome pathology, Schizophrenia pathology, Angelman Syndrome genetics, Autism Spectrum Disorder genetics, Paternal Inheritance genetics, Prader-Willi Syndrome genetics, Schizophrenia genetics
Abstract: Duplications at 15q11.2-q13.3 overlapping the Prader-Willi/Angelman syndrome (PWS/AS) region have been associated with developmental delay (DD), autism spectrum disorder (ASD) and schizophrenia (SZ). Due to presence of imprinted genes within the region, the parental origin of these duplications may be key to the pathogenicity. Duplications of maternal origin are associated with disease, whereas the pathogenicity of paternal ones is unclear. To clarify the role of maternal and paternal duplications, we conducted the largest and most detailed study to date of parental origin of 15q11.2-q13.3 interstitial duplications in DD, ASD and SZ cohorts. We show, for the first time, that paternal duplications lead to an increased risk of developing DD/ASD/multiple congenital anomalies (MCA), but do not appear to increase risk for SZ. The importance of the epigenetic status of 15q11.2-q13.3 duplications was further underlined by analysis of a number of families, in which the duplication was paternally derived in the mother, who was unaffected, whereas her offspring, who inherited a maternally derived duplication, suffered from psychotic illness. Interestingly, the most consistent clinical characteristics of SZ patients with 15q11.2-q13.3 duplications were learning or developmental problems, found in 76% of carriers. Despite their lower pathogenicity, paternal duplications are less frequent in the general population with a general population prevalence of 0.0033% compared to 0.0069% for maternal duplications. This may be due to lower fecundity of male carriers and differential survival of embryos, something echoed in the findings that both types of duplications are de novo in just over 50% of cases. Isodicentric chromosome 15 (idic15) or interstitial triplications were not observed in SZ patients or in controls. Overall, this study refines the distinct roles of maternal and paternal interstitial duplications at 15q11.2-q13.3, underlining the critical importance of maternally expressed imprinted genes in the contribution of Copy Number Variants (CNVs) at this interval to the incidence of psychotic illness. This work will have tangible benefits for patients with 15q11.2-q13.3 duplications by aiding genetic counseling.
Published: 2016
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8. The cortical thickness phenotype of individuals with DISC1 translocation resembles schizophrenia.

Author: Doyle OM, Bois C, Thomson P, Romaniuk L, Whitcher B, Williams SC, Turkheimer FE, Stefansson H, McIntosh AM, Mehta MA, and Lawrie SM
Subjects: Blood Flow Velocity, Female, Humans, Male, Radiography, Scotland, Cerebral Cortex blood supply, Cerebral Cortex diagnostic imaging, Cerebrovascular Circulation, Chromosomes, Human, Pair 1 genetics, Chromosomes, Human, Pair 11 genetics, Nerve Tissue Proteins genetics, Schizophrenia diagnostic imaging, Schizophrenia genetics, Schizophrenia physiopathology, Translocation, Genetic
Abstract: Background: The disrupted in schizophrenia 1 (DISC1) gene locus was originally identified in a Scottish pedigree with a high incidence of psychiatric disorders that is associated with a balanced t(1;11)(q42.1;q14.3) chromosomal translocation. Here, we investigated whether members of this family carrying the t(1;11)(q42.1;q14.3) translocation have a common brain-related phenotype and whether this phenotype is similar to that observed in schizophrenia (SCZ), using multivariate pattern recognition techniques., Methods: We measured cortical thickness, cortical surface area, subcortical volumes, and regional cerebral blood flow (rCBF) in healthy controls (HC) (n = 24), patients diagnosed with SCZ (n = 24), patients diagnosed with bipolar disorder (BP) (n = 19), and members of the original Scottish family (n = 30) who were either carriers (T+) or noncarriers (T-) of the DISC1 translocation. Binary classification models were developed to assess the differences and similarities across groups., Results: Based on cortical thickness, 72% of the T- group were assigned to the HC group, 83% of the T+ group were assigned to the SCZ group, and 45% of the BP group were classified as belonging to the SCZ group, suggesting high specificity of this measurement in predicting brain-related phenotypes. Shared brain-related phenotypes between SCZ and T+ individuals were found for cortical thickness only. Finally, a classification accuracy of 73% was achieved when directly comparing the pattern of cortical thickness of T+ and T- individuals., Conclusion: Together, the results of this study suggest that the DISC1 translocation may increase the risk of psychiatric disorders in this pedigree by affecting neurostructural phenotypes such as cortical thickness., Funding: This work was supported by the National Health Service Research Scotland, the Scottish Translational Medicine Research Collaboration, the Innovative Medicines Initiative (IMI), the Engineering and Physical Sciences Research Council (EPSRC), The Wellcome Trust, the National Institute of Health Research (NIHR), and Pfizer.
Published: 2015
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9. Polygenic risk scores for schizophrenia and bipolar disorder predict creativity.

Author: Power RA, Steinberg S, Bjornsdottir G, Rietveld CA, Abdellaoui A, Nivard MM, Johannesson M, Galesloot TE, Hottenga JJ, Willemsen G, Cesarini D, Benjamin DJ, Magnusson PK, Ullén F, Tiemeier H, Hofman A, van Rooij FJ, Walters GB, Sigurdsson E, Thorgeirsson TE, Ingason A, Helgason A, Kong A, Kiemeney LA, Koellinger P, Boomsma DI, Gudbjartsson D, Stefansson H, and Stefansson K
Subjects: Cohort Studies, Female, Humans, Iceland epidemiology, Male, Middle Aged, Netherlands epidemiology, Risk, Sweden epidemiology, Bipolar Disorder genetics, Creativity, Genetic Predisposition to Disease genetics, Multifactorial Inheritance genetics, Psychotic Disorders genetics, Registries, Schizophrenia genetics
Abstract: We tested whether polygenic risk scores for schizophrenia and bipolar disorder would predict creativity. Higher scores were associated with artistic society membership or creative profession in both Icelandic (P = 5.2 × 10(-6) and 3.8 × 10(-6) for schizophrenia and bipolar disorder scores, respectively) and replication cohorts (P = 0.0021 and 0.00086). This could not be accounted for by increased relatedness between creative individuals and those with psychoses, indicating that creativity and psychosis share genetic roots.
Published: 2015
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10. A mouse model that recapitulates cardinal features of the 15q13.3 microdeletion syndrome including schizophrenia- and epilepsy-related alterations.

Author: Fejgin K, Nielsen J, Birknow MR, Bastlund JF, Nielsen V, Lauridsen JB, Stefansson H, Steinberg S, Sorensen HB, Mortensen TE, Larsen PH, Klewe IV, Rasmussen SV, Stefansson K, Werge TM, Kallunki P, Christensen KV, and Didriksen M
Subjects: Animals, Behavior, Animal physiology, Body Weight genetics, Chromosome Deletion, Chromosomes, Human, Pair 15 genetics, Electroencephalography, Female, Humans, Male, Mice, Inbred C57BL, Middle Aged, Brain physiopathology, Chromosome Disorders genetics, Disease Models, Animal, Epilepsy genetics, Intellectual Disability genetics, Mice, Schizophrenia genetics, Seizures genetics
Abstract: Background: Genome-wide scans have uncovered rare copy number variants conferring high risk of psychiatric disorders. The 15q13.3 microdeletion is associated with a considerably increased risk of idiopathic generalized epilepsy, intellectual disability, and schizophrenia., Methods: A 15q13.3 microdeletion mouse model (Df[h15q13]/+) was generated by hemizygous deletion of the orthologous region and characterized with focus on schizophrenia- and epilepsy-relevant parameters., Results: Df(h15q13)/+ mice showed marked changes in neuronal excitability in acute seizure assays, with increased propensity to develop myoclonic and absence-like seizures but decreased propensity for clonic and tonic seizures. Furthermore, they had impaired long-term spatial reference memory and a decreased theta frequency in hippocampus and prefrontal cortex. Electroencephalogram characterization revealed auditory processing deficits similar to those observed in schizophrenia. Gamma band power was increased during active state, but evoked gamma power following auditory stimulus (40 Hz) was dramatically reduced, mirroring observations in patients with schizophrenia. In addition, Df(h15q13)/+ mice showed schizophrenia-like decreases in amplitudes of auditory evoked potentials. Although displaying a grossly normal behavior, Df(h15q13)/+ mice are more aggressive following exposure to mild stressors, similar to what is described in human deletion carriers. Furthermore, Df(h15q13)/+ mice have increased body weight, and a similar increase in body weight was subsequently found in a sample of human subjects with 15q13.3 deletion., Conclusions: The Df(h15q13)/+ mouse shows similarities to several alterations related to the 15q13.3 microdeletion syndrome, epilepsy, and schizophrenia, offering a novel tool for addressing the underlying biology of these diseases., (Copyright © 2014 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)
Published: 2014
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11. Convergent lines of evidence support CAMKK2 as a schizophrenia susceptibility gene.

Author: Luo XJ, Li M, Huang L, Steinberg S, Mattheisen M, Liang G, Donohoe G, Shi Y, Chen C, Yue W, Alkelai A, Lerer B, Li Z, Yi Q, Rietschel M, Cichon S, Collier DA, Tosato S, Suvisaari J, Rujescu D, Golimbet V, Silagadze T, Durmishi N, Milovancevic MP, Stefansson H, Schulze TG, Nöthen MM, Chen C, Lyne R, Morris DW, Gill M, Corvin A, Zhang D, Dong Q, Moyzis RK, Stefansson K, Sigurdsson E, Hu F, Su B, and Gan L
Subjects: Alleles, Asian People genetics, Brain metabolism, Calcium-Calmodulin-Dependent Protein Kinase Kinase metabolism, Case-Control Studies, Cognition, Databases, Genetic, Down-Regulation, Genome-Wide Association Study, Genotype, Humans, Personality genetics, Polymorphism, Single Nucleotide genetics, Protein Interaction Maps genetics, White People genetics, Calcium-Calmodulin-Dependent Protein Kinase Kinase genetics, Genetic Predisposition to Disease genetics, Schizophrenia genetics, Schizophrenic Psychology
Abstract: Genes that are differentially expressed between schizophrenia patients and healthy controls may have key roles in the pathogenesis of schizophrenia. We analyzed two large-scale genome-wide expression studies, which examined changes in gene expression in schizophrenia patients and their matched controls. We found calcium/calmodulin (CAM)-dependent protein kinase kinase 2 (CAMKK2) is significantly downregulated in individuals with schizophrenia in both studies. To seek the potential genetic variants that may regulate the expression of CAMKK2, we investigated the association between single-nucleotide polymorphisms (SNPs) within CAMKK2 and the expression level of CAMKK2. We found one SNP, rs1063843, which is located in intron 17 of CAMKK2, is strongly associated with the expression level of CAMKK2 in human brains (P=1.1 × 10(-6)) and lymphoblastoid cell lines (the lowest P=8.4 × 10(-6)). We further investigated the association between rs1063843 and schizophrenia in multiple independent populations (a total of 130 623 subjects) and found rs1063843 is significantly associated with schizophrenia (P=5.17 × 10(-5)). Interestingly, we found the T allele of rs1063843, which is associated with lower expression level of CAMKK2, has a higher frequency in individuals with schizophrenia in all of the tested samples, suggesting rs1063843 may be a causal variant. We also found that rs1063843 is associated with cognitive function and personality in humans. In addition, protein-protein interaction (PPI) analysis revealed that CAMKK2 participates in a highly interconnected PPI network formed by top schizophrenia genes, which further supports the potential role of CAMKK2 in the pathogenesis of schizophrenia. Taken together, these converging lines of evidence strongly suggest that CAMKK2 may have pivotal roles in schizophrenia susceptibility.
Published: 2014
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12. CNVs conferring risk of autism or schizophrenia affect cognition in controls.

Author: Stefansson H, Meyer-Lindenberg A, Steinberg S, Magnusdottir B, Morgen K, Arnarsdottir S, Bjornsdottir G, Walters GB, Jonsdottir GA, Doyle OM, Tost H, Grimm O, Kristjansdottir S, Snorrason H, Davidsdottir SR, Gudmundsson LJ, Jonsson GF, Stefansdottir B, Helgadottir I, Haraldsson M, Jonsdottir B, Thygesen JH, Schwarz AJ, Didriksen M, Stensbøl TB, Brammer M, Kapur S, Halldorsson JG, Hreidarsson S, Saemundsen E, Sigurdsson E, and Stefansson K
Subjects: Adolescent, Adult, Aged, Brain abnormalities, Brain anatomy & histology, Brain metabolism, Case-Control Studies, Chromosome Deletion, Chromosomes, Human genetics, Chromosomes, Human, Pair 15 genetics, Dyslexia genetics, Female, Fertility genetics, Heterozygote, Humans, Iceland, Learning Disabilities genetics, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Phenotype, Young Adult, Autistic Disorder genetics, Cognition physiology, DNA Copy Number Variations genetics, Genetic Predisposition to Disease, Schizophrenia genetics
Abstract: In a small fraction of patients with schizophrenia or autism, alleles of copy-number variants (CNVs) in their genomes are probably the strongest factors contributing to the pathogenesis of the disease. These CNVs may provide an entry point for investigations into the mechanisms of brain function and dysfunction alike. They are not fully penetrant and offer an opportunity to study their effects separate from that of manifest disease. Here we show in an Icelandic sample that a few of the CNVs clearly alter fecundity (measured as the number of children by age 45). Furthermore, we use various tests of cognitive function to demonstrate that control subjects carrying the CNVs perform at a level that is between that of schizophrenia patients and population controls. The CNVs do not all affect the same cognitive domains, hence the cognitive deficits that drive or accompany the pathogenesis vary from one CNV to another. Controls carrying the chromosome 15q11.2 deletion between breakpoints 1 and 2 (15q11.2(BP1-BP2) deletion) have a history of dyslexia and dyscalculia, even after adjusting for IQ in the analysis, and the CNV only confers modest effects on other cognitive traits. The 15q11.2(BP1-BP2) deletion affects brain structure in a pattern consistent with both that observed during first-episode psychosis in schizophrenia and that of structural correlates in dyslexia.
Published: 2014
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13. Common variant at 16p11.2 conferring risk of psychosis.

Author: Steinberg S, de Jong S, Mattheisen M, Costas J, Demontis D, Jamain S, Pietiläinen OP, Lin K, Papiol S, Huttenlocher J, Sigurdsson E, Vassos E, Giegling I, Breuer R, Fraser G, Walker N, Melle I, Djurovic S, Agartz I, Tuulio-Henriksson A, Suvisaari J, Lönnqvist J, Paunio T, Olsen L, Hansen T, Ingason A, Pirinen M, Strengman E, Hougaard DM, Orntoft T, Didriksen M, Hollegaard MV, Nordentoft M, Abramova L, Kaleda V, Arrojo M, Sanjuán J, Arango C, Etain B, Bellivier F, Méary A, Schürhoff F, Szoke A, Ribolsi M, Magni V, Siracusano A, Sperling S, Rossner M, Christiansen C, Kiemeney LA, Franke B, van den Berg LH, Veldink J, Curran S, Bolton P, Poot M, Staal W, Rehnstrom K, Kilpinen H, Freitag CM, Meyer J, Magnusson P, Saemundsen E, Martsenkovsky I, Bikshaieva I, Martsenkovska I, Vashchenko O, Raleva M, Paketchieva K, Stefanovski B, Durmishi N, Pejovic Milovancevic M, Lecic Tosevski D, Silagadze T, Naneishvili N, Mikeladze N, Surguladze S, Vincent JB, Farmer A, Mitchell PB, Wright A, Schofield PR, Fullerton JM, Montgomery GW, Martin NG, Rubino IA, van Winkel R, Kenis G, De Hert M, Réthelyi JM, Bitter I, Terenius L, Jönsson EG, Bakker S, van Os J, Jablensky A, Leboyer M, Bramon E, Powell J, Murray R, Corvin A, Gill M, Morris D, O'Neill FA, Kendler K, Riley B, Craddock N, Owen MJ, O'Donovan MC, Thorsteinsdottir U, Kong A, Ehrenreich H, Carracedo A, Golimbet V, Andreassen OA, Børglum AD, Mors O, Mortensen PB, Werge T, Ophoff RA, Nöthen MM, Rietschel M, Cichon S, Ruggeri M, Tosato S, Palotie A, St Clair D, Rujescu D, Collier DA, Stefansson H, and Stefansson K
Subjects: Adult, Aged, Aged, 80 and over, Bipolar Disorder complications, Bipolar Disorder epidemiology, Europe, Female, Gene Expression Profiling, Genome-Wide Association Study, Genotype, Humans, International Cooperation, Male, Middle Aged, Odds Ratio, Oligonucleotide Array Sequence Analysis, Risk Factors, Schizophrenia complications, Schizophrenia epidemiology, Young Adult, Bipolar Disorder genetics, Chromosome Aberrations, Chromosomes, Human, Pair 16 genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide genetics, Schizophrenia genetics
Abstract: Epidemiological and genetic data support the notion that schizophrenia and bipolar disorder share genetic risk factors. In our previous genome-wide association study, meta-analysis and follow-up (totaling as many as 18 206 cases and 42 536 controls), we identified four loci showing genome-wide significant association with schizophrenia. Here we consider a mixed schizophrenia and bipolar disorder (psychosis) phenotype (addition of 7469 bipolar disorder cases, 1535 schizophrenia cases, 333 other psychosis cases, 808 unaffected family members and 46 160 controls). Combined analysis reveals a novel variant at 16p11.2 showing genome-wide significant association (rs4583255[T]; odds ratio=1.08; P=6.6 × 10(-11)). The new variant is located within a 593-kb region that substantially increases risk of psychosis when duplicated. In line with the association of the duplication with reduced body mass index (BMI), rs4583255[T] is also associated with lower BMI (P=0.0039 in the public GIANT consortium data set; P=0.00047 in 22 651 additional Icelanders).
Published: 2014
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14. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

Author: Ripke S, O'Dushlaine C, Chambert K, Moran JL, Kähler AK, Akterin S, Bergen SE, Collins AL, Crowley JJ, Fromer M, Kim Y, Lee SH, Magnusson PK, Sanchez N, Stahl EA, Williams S, Wray NR, Xia K, Bettella F, Borglum AD, Bulik-Sullivan BK, Cormican P, Craddock N, de Leeuw C, Durmishi N, Gill M, Golimbet V, Hamshere ML, Holmans P, Hougaard DM, Kendler KS, Lin K, Morris DW, Mors O, Mortensen PB, Neale BM, O'Neill FA, Owen MJ, Milovancevic MP, Posthuma D, Powell J, Richards AL, Riley BP, Ruderfer D, Rujescu D, Sigurdsson E, Silagadze T, Smit AB, Stefansson H, Steinberg S, Suvisaari J, Tosato S, Verhage M, Walters JT, Levinson DF, Gejman PV, Kendler KS, Laurent C, Mowry BJ, O'Donovan MC, Owen MJ, Pulver AE, Riley BP, Schwab SG, Wildenauer DB, Dudbridge F, Holmans P, Shi J, Albus M, Alexander M, Campion D, Cohen D, Dikeos D, Duan J, Eichhammer P, Godard S, Hansen M, Lerer FB, Liang KY, Maier W, Mallet J, Nertney DA, Nestadt G, Norton N, O'Neill FA, Papadimitriou GN, Ribble R, Sanders AR, Silverman JM, Walsh D, Williams NM, Wormley B, Arranz MJ, Bakker S, Bender S, Bramon E, Collier D, Crespo-Facorro B, Hall J, Iyegbe C, Jablensky A, Kahn RS, Kalaydjieva L, Lawrie S, Lewis CM, Lin K, Linszen DH, Mata I, McIntosh A, Murray RM, Ophoff RA, Powell J, Rujescu D, Van Os J, Walshe M, Weisbrod M, Wiersma D, Donnelly P, Barroso I, Blackwell JM, Bramon E, Brown MA, Casas JP, Corvin AP, Deloukas P, Duncanson A, Jankowski J, Markus HS, Mathew CG, Palmer CN, Plomin R, Rautanen A, Sawcer SJ, Trembath RC, Viswanathan AC, Wood NW, Spencer CC, Band G, Bellenguez C, Freeman C, Hellenthal G, Giannoulatou E, Pirinen M, Pearson RD, Strange A, Su Z, Vukcevic D, Donnelly P, Langford C, Hunt SE, Edkins S, Gwilliam R, Blackburn H, Bumpstead SJ, Dronov S, Gillman M, Gray E, Hammond N, Jayakumar A, McCann OT, Liddle J, Potter SC, Ravindrarajah R, Ricketts M, Tashakkori-Ghanbaria A, Waller MJ, Weston P, Widaa S, Whittaker P, Barroso I, Deloukas P, Mathew CG, Blackwell JM, Brown MA, Corvin AP, McCarthy MI, Spencer CC, Bramon E, Corvin AP, O'Donovan MC, Stefansson K, Scolnick E, Purcell S, McCarroll SA, Sklar P, Hultman CM, and Sullivan PF
Subjects: Case-Control Studies, Female, Humans, Male, Polymorphism, Single Nucleotide, Sweden, Genetic Predisposition to Disease, Genome-Wide Association Study, Schizophrenia genetics
Abstract: Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300-10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.
Published: 2013
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15. Deletion of TOP3β, a component of FMRP-containing mRNPs, contributes to neurodevelopmental disorders.

Author: Stoll G, Pietiläinen OPH, Linder B, Suvisaari J, Brosi C, Hennah W, Leppä V, Torniainen M, Ripatti S, Ala-Mello S, Plöttner O, Rehnström K, Tuulio-Henriksson A, Varilo T, Tallila J, Kristiansson K, Isohanni M, Kaprio J, Eriksson JG, Raitakari OT, Lehtimäki T, Jarvelin MR, Salomaa V, Hurles M, Stefansson H, Peltonen L, Sullivan PF, Paunio T, Lönnqvist J, Daly MJ, Fischer U, Freimer NB, and Palotie A
Subjects: Adolescent, Adult, Aged, Chromosome Deletion, Chromosomes, Human, Pair 22 genetics, Cognition Disorders epidemiology, Cohort Studies, Family Health, Female, Finland epidemiology, Fragile X Mental Retardation Protein genetics, Fragile X Mental Retardation Protein metabolism, Gene Expression Profiling, Genetic Association Studies, Genotype, HEK293 Cells, Health Surveys, Humans, Male, Middle Aged, Models, Molecular, Proteins genetics, Proteins metabolism, Ribonucleoproteins genetics, Ribonucleoproteins metabolism, Schizophrenia epidemiology, Young Adult, Abnormalities, Multiple genetics, Cognition Disorders genetics, DNA Topoisomerases, Type I genetics, DiGeorge Syndrome genetics, Schizophrenia genetics, Sequence Deletion genetics
Abstract: Implicating particular genes in the generation of complex brain and behavior phenotypes requires multiple lines of evidence. The rarity of most high-impact genetic variants typically precludes the possibility of accruing statistical evidence that they are associated with a given trait. We found that the enrichment of a rare chromosome 22q11.22 deletion in a recently expanded Northern Finnish sub-isolate enabled the detection of association between TOP3B and both schizophrenia and cognitive impairment. Biochemical analysis of TOP3β revealed that this topoisomerase was a component of cytosolic messenger ribonucleoproteins (mRNPs) and was catalytically active on RNA. The recruitment of TOP3β to mRNPs was independent of RNA cis-elements and was coupled to the co-recruitment of FMRP, the disease gene product in fragile X mental retardation syndrome. Our results indicate a previously unknown role for TOP3β in mRNA metabolism and suggest that it is involved in neurodevelopmental disorders.
Published: 2013
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16. TCF4 (e2-2; ITF2): a schizophrenia-associated gene with pleiotropic effects on human disease.

Author: Navarrete K, Pedroso I, De Jong S, Stefansson H, Steinberg S, Stefansson K, Ophoff RA, Schalkwyk LC, and Collier DA
Subjects: Humans, Protein Interaction Maps genetics, Transcription Factor 4, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors genetics, Genetic Association Studies, Genetic Pleiotropy, Genetic Predisposition to Disease, Schizophrenia genetics, Transcription Factors genetics
Abstract: Common SNPs in the transcription factor 4 (TCF4; ITF2, E2-2, SEF-2) gene, which encodes a basic Helix-Loop-Helix (bHLH) transcription factor, are associated with schizophrenia, conferring a small increase in risk. Other common SNPs in the gene are associated with the common eye disorder Fuch's corneal dystrophy, while rare, mostly de novo inactivating mutations cause Pitt-Hopkins syndrome. In this review, we present a systematic bioinformatics and literature review of the genomics, biological function and interactome of TCF4 in the context of schizophrenia. The TCF4 gene is present in all vertebrates, and although protein length varies, there is high conservation of primary sequence, including the DNA binding domain. Humans have a unique leucine-rich nuclear export signal. There are two main isoforms (A and B), as well as complex splicing generating many possible N-terminal amino acid sequences. TCF4 is highly expressed in the brain, where plays a role in neurodevelopment, interacting with class II bHLH transcription factors Math1, HASH1, and neuroD2. The Ca(2+) sensor protein calmodulin interacts with the DNA binding domain of TCF4, inhibiting transcriptional activation. It is also the target of microRNAs, including mir137, which is implicated in schizophrenia. The schizophrenia-associated SNPs are in linkage disequilibrium with common variants within putative DNA regulatory elements, suggesting that regulation of expression may underlie association with schizophrenia. Combined gene co-expression analyses and curated protein-protein interaction data provide a network involving TCF4 and other putative schizophrenia susceptibility genes. These findings suggest new opportunities for understanding the molecular basis of schizophrenia and other mental disorders., (Copyright © 2012 Wiley Periodicals, Inc.)
Published: 2013
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17. De novo CNV analysis implicates specific abnormalities of postsynaptic signalling complexes in the pathogenesis of schizophrenia.

Author: Kirov G, Pocklington AJ, Holmans P, Ivanov D, Ikeda M, Ruderfer D, Moran J, Chambert K, Toncheva D, Georgieva L, Grozeva D, Fjodorova M, Wollerton R, Rees E, Nikolov I, van de Lagemaat LN, Bayés A, Fernandez E, Olason PI, Böttcher Y, Komiyama NH, Collins MO, Choudhary J, Stefansson K, Stefansson H, Grant SG, Purcell S, Sklar P, O'Donovan MC, and Owen MJ
Subjects: AIDS-Related Complex genetics, Bulgaria, Case-Control Studies, Family Health, Female, Gene Frequency, Genotype, Humans, Iceland, Japan, Male, Meta-Analysis as Topic, Microarray Analysis, Models, Biological, Post-Synaptic Density genetics, Post-Synaptic Density pathology, Psychiatric Status Rating Scales, Receptors, N-Methyl-D-Aspartate, Signal Transduction genetics, Statistics, Nonparametric, DNA Copy Number Variations genetics, Genetic Predisposition to Disease, Schizophrenia genetics, Schizophrenia pathology, Synapses genetics, Synapses pathology
Abstract: A small number of rare, recurrent genomic copy number variants (CNVs) are known to substantially increase susceptibility to schizophrenia. As a consequence of the low fecundity in people with schizophrenia and other neurodevelopmental phenotypes to which these CNVs contribute, CNVs with large effects on risk are likely to be rapidly removed from the population by natural selection. Accordingly, such CNVs must frequently occur as recurrent de novo mutations. In a sample of 662 schizophrenia proband-parent trios, we found that rare de novo CNV mutations were significantly more frequent in cases (5.1% all cases, 5.5% family history negative) compared with 2.2% among 2623 controls, confirming the involvement of de novo CNVs in the pathogenesis of schizophrenia. Eight de novo CNVs occurred at four known schizophrenia loci (3q29, 15q11.2, 15q13.3 and 16p11.2). De novo CNVs of known pathogenic significance in other genomic disorders were also observed, including deletion at the TAR (thrombocytopenia absent radius) region on 1q21.1 and duplication at the WBS (Williams-Beuren syndrome) region at 7q11.23. Multiple de novos spanned genes encoding members of the DLG (discs large) family of membrane-associated guanylate kinases (MAGUKs) that are components of the postsynaptic density (PSD). Two de novos also affected EHMT1, a histone methyl transferase known to directly regulate DLG family members. Using a systems biology approach and merging novel CNV and proteomics data sets, systematic analysis of synaptic protein complexes showed that, compared with control CNVs, case de novos were significantly enriched for the PSD proteome (P=1.72 × 10⁻⁶. This was largely explained by enrichment for members of the N-methyl-D-aspartate receptor (NMDAR) (P=4.24 × 10⁻⁶) and neuronal activity-regulated cytoskeleton-associated protein (ARC) (P=3.78 × 10⁻⁸) postsynaptic signalling complexes. In an analysis of 18 492 subjects (7907 cases and 10 585 controls), case CNVs were enriched for members of the NMDAR complex (P=0.0015) but not ARC (P=0.14). Our data indicate that defects in NMDAR postsynaptic signalling and, possibly, ARC complexes, which are known to be important in synaptic plasticity and cognition, play a significant role in the pathogenesis of schizophrenia.
Published: 2012
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18. Association study of nonsynonymous single nucleotide polymorphisms in schizophrenia.

Author: Carrera N, Arrojo M, Sanjuán J, Ramos-Ríos R, Paz E, Suárez-Rama JJ, Páramo M, Agra S, Brenlla J, Martínez S, Rivero O, Collier DA, Palotie A, Cichon S, Nöthen MM, Rietschel M, Rujescu D, Stefansson H, Steinberg S, Sigurdsson E, St Clair D, Tosato S, Werge T, Stefansson K, González JC, Valero J, Gutiérrez-Zotes A, Labad A, Martorell L, Vilella E, Carracedo Á, and Costas J
Subjects: Adult, Aged, Aged, 80 and over, Case-Control Studies, Female, Genetic Association Studies methods, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Spain, Cation Transport Proteins genetics, Genetic Association Studies statistics & numerical data, Genetic Predisposition to Disease genetics, Schizophrenia genetics
Abstract: Background: Genome-wide association studies using several hundred thousand anonymous markers present limited statistical power. Alternatively, association studies restricted to common nonsynonymous single nucleotide polymorphisms (nsSNPs) have the advantage of strongly reducing the multiple testing problem, while increasing the probability of testing functional single nucleotide polymorphisms (SNPs)., Methods: We performed a case-control association study of common nsSNPs in Galician (northwest Spain) samples using the Affymetrix GeneChip Human 20k cSNP Kit, followed by a replication study of the more promising results. After quality control procedures, the discovery sample consisted of 5100 nsSNPs at minor allele frequency >5% analyzed in 476 schizophrenia patients and 447 control subjects. The replication sample consisted of 4069 cases and 15,128 control subjects of European origin. We also performed multilocus analysis, using aggregated scores of nsSNPs at liberal significance thresholds and cross-validation procedures., Results: The 5 independent nsSNPs with false discovery rate q ≤ .25, as well as 13 additional nsSNPs at p < .01 and located in functional candidate genes, were genotyped in the replication samples. One SNP, rs13107325, located at the metal ions transporter gene SLC39A8, reached significance in the combined sample after Bonferroni correction (trend test, p = 2.7 × 10(-6), allelic odds ratio = 1.32). This SNP presents minor allele frequency of 5% to 10% in many European populations but is rare outside Europe. We also confirmed the polygenic component of susceptibility., Conclusions: Taking into account that another metal ions transporter gene, SLC39A3, is associated to bipolar disorder, our findings reveal a role for brain metal homeostasis in psychosis., (Copyright © 2012 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)
Published: 2012
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19. Common variants on 8p12 and 1q24.2 confer risk of schizophrenia.

Author: Shi Y, Li Z, Xu Q, Wang T, Li T, Shen J, Zhang F, Chen J, Zhou G, Ji W, Li B, Xu Y, Liu D, Wang P, Yang P, Liu B, Sun W, Wan C, Qin S, He G, Steinberg S, Cichon S, Werge T, Sigurdsson E, Tosato S, Palotie A, Nöthen MM, Rietschel M, Ophoff RA, Collier DA, Rujescu D, Clair DS, Stefansson H, Stefansson K, Ji J, Wang Q, Li W, Zheng L, Zhang H, Feng G, and He L
Subjects: Adult, Aged, Asian People, Case-Control Studies, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Middle Aged, Principal Component Analysis, Risk Factors, Young Adult, Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 8, Polymorphism, Single Nucleotide, Schizophrenia genetics
Abstract: Schizophrenia is a severe mental disorder affecting ∼1% of the world population, with heritability of up to 80%. To identify new common genetic risk factors, we performed a genome-wide association study (GWAS) in the Han Chinese population. The discovery sample set consisted of 3,750 individuals with schizophrenia and 6,468 healthy controls (1,578 cases and 1,592 controls from northern Han Chinese, 1,238 cases and 2,856 controls from central Han Chinese, and 934 cases and 2,020 controls from the southern Han Chinese). We further analyzed the strongest association signals in an additional independent cohort of 4,383 cases and 4,539 controls from the Han Chinese population. Meta-analysis identified common SNPs that associated with schizophrenia with genome-wide significance on 8p12 (rs16887244, P = 1.27 × 10(-10)) and 1q24.2 (rs10489202, P = 9.50 × 10(-9)). Our findings provide new insights into the pathogenesis of schizophrenia.
Published: 2011
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20. Common variants at VRK2 and TCF4 conferring risk of schizophrenia.

Author: Steinberg S, de Jong S, Andreassen OA, Werge T, Børglum AD, Mors O, Mortensen PB, Gustafsson O, Costas J, Pietiläinen OP, Demontis D, Papiol S, Huttenlocher J, Mattheisen M, Breuer R, Vassos E, Giegling I, Fraser G, Walker N, Tuulio-Henriksson A, Suvisaari J, Lönnqvist J, Paunio T, Agartz I, Melle I, Djurovic S, Strengman E, Jürgens G, Glenthøj B, Terenius L, Hougaard DM, Ørntoft T, Wiuf C, Didriksen M, Hollegaard MV, Nordentoft M, van Winkel R, Kenis G, Abramova L, Kaleda V, Arrojo M, Sanjuán J, Arango C, Sperling S, Rossner M, Ribolsi M, Magni V, Siracusano A, Christiansen C, Kiemeney LA, Veldink J, van den Berg L, Ingason A, Muglia P, Murray R, Nöthen MM, Sigurdsson E, Petursson H, Thorsteinsdottir U, Kong A, Rubino IA, De Hert M, Réthelyi JM, Bitter I, Jönsson EG, Golimbet V, Carracedo A, Ehrenreich H, Craddock N, Owen MJ, O'Donovan MC, Ruggeri M, Tosato S, Peltonen L, Ophoff RA, Collier DA, St Clair D, Rietschel M, Cichon S, Stefansson H, Rujescu D, and Stefansson K
Subjects: Alleles, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Risk, Transcription Factor 4, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors genetics, Polymorphism, Single Nucleotide, Protein Serine-Threonine Kinases genetics, Schizophrenia genetics, Transcription Factors genetics
Abstract: Common sequence variants have recently joined rare structural polymorphisms as genetic factors with strong evidence for association with schizophrenia. Here we extend our previous genome-wide association study and meta-analysis (totalling 7 946 cases and 19 036 controls) by examining an expanded set of variants using an enlarged follow-up sample (up to 10 260 cases and 23 500 controls). In addition to previously reported alleles in the major histocompatibility complex region, near neurogranin (NRGN) and in an intron of transcription factor 4 (TCF4), we find two novel variants showing genome-wide significant association: rs2312147[C], upstream of vaccinia-related kinase 2 (VRK2) [odds ratio (OR) = 1.09, P = 1.9 × 10(-9)] and rs4309482[A], between coiled-coiled domain containing 68 (CCDC68) and TCF4, about 400 kb from the previously described risk allele, but not accounted for by its association (OR = 1.09, P = 7.8 × 10(-9)).
Published: 2011
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21. Dissociation of accumulated genetic risk and disease severity in patients with schizophrenia.

Author: Papiol S, Malzahn D, Kästner A, Sperling S, Begemann M, Stefansson H, Bickeböller H, Nave KA, and Ehrenreich H
Subjects: Adult, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Polymorphism, Single Nucleotide genetics, Risk, Genetic Association Studies, Schizophrenia diagnosis, Schizophrenia genetics, Severity of Illness Index
Abstract: Genotype-phenotype correlations of common monogenic diseases revealed that the degree of deviation of mutant genes from wild-type structure and function often predicts disease onset and severity. In complex disorders such as schizophrenia, the overall genetic risk is still often >50% but genotype-phenotype relationships are unclear. Recent genome-wide association studies (GWAS) replicated a risk for several single-nucleotide polymorphisms (SNPs) regarding the endpoint diagnosis of schizophrenia. The biological relevance of these SNPs, however, for phenotypes or severity of schizophrenia has remained obscure. We hypothesized that the GWAS 'top-10' should as single markers, but even more so upon their accumulation, display associations with lead features of schizophrenia, namely positive and negative symptoms, cognitive deficits and neurological signs (including catatonia), and/or with age of onset of the disease prodrome as developmental readout and predictor of disease severity. For testing this hypothesis, we took an approach complementary to GWAS, and performed a phenotype-based genetic association study (PGAS). We utilized the to our knowledge worldwide largest phenotypical database of schizophrenic patients (n>1000), the GRAS (Göttingen Research Association for Schizophrenia) Data Collection. We found that the 'top-10' GWAS-identified risk SNPs neither as single markers nor when explored in the sense of a cumulative genetic risk, have any predictive value for disease onset or severity in the schizophrenic patients, as demonstrated across all core symptoms. We conclude that GWAS does not extract disease genes of general significance in schizophrenia, but may yield, on a hypothesis-free basis, candidate genes relevant for defining disease subgroups.
Published: 2011
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22. Genome-wide analysis shows increased frequency of copy number variation deletions in Dutch schizophrenia patients.

Author: Buizer-Voskamp JE, Muntjewerff JW, Strengman E, Sabatti C, Stefansson H, Vorstman JA, and Ophoff RA
Subjects: Case-Control Studies, Genome-Wide Association Study, Humans, Netherlands, Base Sequence genetics, DNA Copy Number Variations genetics, Genetic Predisposition to Disease genetics, Schizophrenia genetics, Sequence Deletion genetics
Abstract: Background: Since 2008, multiple studies have reported on copy number variations (CNVs) in schizophrenia. However, many regions are unique events with minimal overlap between studies. This makes it difficult to gain a comprehensive overview of all CNVs involved in the etiology of schizophrenia. We performed a systematic CNV study on the basis of a homogeneous genome-wide dataset aiming at all CNVs ≥ 50 kilobase pair. We complemented this analysis with a review of cytogenetic and chromosomal abnormalities for schizophrenia reported in the literature with the purpose of combining classical genetic findings and our current understanding of genomic variation., Methods: We investigated 834 Dutch schizophrenia patients and 672 Dutch control subjects. The CNVs were included if they were detected by QuantiSNP (http://www.well.ox.ac.uk/QuantiSNP/) as well as PennCNV (http://www.neurogenome.org/cnv/penncnv/) and contain known protein coding genes. The integrated identification of CNV regions and cytogenetic loci indicates regions of interest (cytogenetic regions of interest [CROIs])., Results: In total, 2437 CNVs were identified with an average number of 2.1 CNVs/subject for both cases and control subjects. We observed significantly more deletions but not duplications in schizophrenia cases versus control subjects. The CNVs identified coincide with loci previously reported in the literature, confirming well-established schizophrenia CROIs 1q42 and 22q11.2 as well as indicating a potentially novel CROI on chromosome 5q35.1., Conclusions: Chromosomal deletions are more prevalent in schizophrenia patients than in healthy subjects and therefore confer a risk factor for pathogenicity. The combination of our CNV data with previously reported cytogenetic abnormalities in schizophrenia provides an overview of potentially interesting regions for positional candidate genes., (Copyright © 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)
Published: 2011
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23. Maternally derived microduplications at 15q11-q13: implication of imprinted genes in psychotic illness.

Author: Ingason A, Kirov G, Giegling I, Hansen T, Isles AR, Jakobsen KD, Kristinsson KT, le Roux L, Gustafsson O, Craddock N, Möller HJ, McQuillin A, Muglia P, Cichon S, Rietschel M, Ophoff RA, Djurovic S, Andreassen OA, Pietiläinen OP, Peltonen L, Dempster E, Collier DA, St Clair D, Rasmussen HB, Glenthøj BY, Kiemeney LA, Franke B, Tosato S, Bonetto C, Saemundsen E, Hreidarsson SJ, Nöthen MM, Gurling H, O'Donovan MC, Owen MJ, Sigurdsson E, Petursson H, Stefansson H, Rujescu D, Stefansson K, and Werge T
Subjects: Adolescent, Adult, Age of Onset, Blotting, Southern, Child, Denmark, Female, Genetic Association Studies, Genotype, Humans, Male, Mothers, Prader-Willi Syndrome genetics, Psychotic Disorders genetics, Uniparental Disomy genetics, United Kingdom, Young Adult, Chromosomes, Human, Pair 15 genetics, DNA Copy Number Variations genetics, Schizophrenia genetics
Abstract: Objective: Rare copy number variants have been implicated in different neurodevelopmental disorders, with the same copy number variants often increasing risk of more than one of these phenotypes. In a discovery sample of 22 schizophrenia patients with an early onset of illness (10-15 years of age), the authors observed in one patient a maternally derived 15q11-q13 duplication overlapping the Prader-Willi/Angelman syndrome critical region. This prompted investigation of the role of 15q11-q13 duplications in psychotic illness., Method: The authors scanned 7,582 patients with schizophrenia or schizoaffective disorder and 41,370 comparison subjects without known psychiatric illness for copy number variants at 15q11-q13 and determined the parental origin of duplications using methylation-sensitive Southern hybridization analysis., Results: Duplications were found in four case patients and five comparison subjects. All four case patients had maternally derived duplications (0.05%), while only three of the five comparison duplications were maternally derived (0.007%), resulting in a significant excess of maternally derived duplications in case patients (odds ratio=7.3). This excess is compatible with earlier observations that risk for psychosis in people with Prader-Willi syndrome caused by maternal uniparental disomy is much higher than in those caused by deletion of the paternal chromosome., Conclusions: These findings suggest that the presence of two maternal copies of a fragment of chromosome 15q11.2-q13.1 that overlaps with the Prader-Willi/Angelman syndrome critical region may be a rare risk factor for schizophrenia and other psychoses. Given that maternal duplications of this region are among the most consistent cytogenetic observations in autism, the findings provide further support for a shared genetic etiology between autism and psychosis.
Published: 2011
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24. Expanding the range of ZNF804A variants conferring risk of psychosis.

Author: Steinberg S, Mors O, Børglum AD, Gustafsson O, Werge T, Mortensen PB, Andreassen OA, Sigurdsson E, Thorgeirsson TE, Böttcher Y, Olason P, Ophoff RA, Cichon S, Gudjonsdottir IH, Pietiläinen OP, Nyegaard M, Tuulio-Henriksson A, Ingason A, Hansen T, Athanasiu L, Suvisaari J, Lonnqvist J, Paunio T, Hartmann A, Jürgens G, Nordentoft M, Hougaard D, Norgaard-Pedersen B, Breuer R, Möller HJ, Giegling I, Glenthøj B, Rasmussen HB, Mattheisen M, Bitter I, Réthelyi JM, Sigmundsson T, Fossdal R, Thorsteinsdottir U, Ruggeri M, Tosato S, Strengman E, Kiemeney LA, Melle I, Djurovic S, Abramova L, Kaleda V, Walshe M, Bramon E, Vassos E, Li T, Fraser G, Walker N, Toulopoulou T, Yoon J, Freimer NB, Cantor RM, Murray R, Kong A, Golimbet V, Jönsson EG, Terenius L, Agartz I, Petursson H, Nöthen MM, Rietschel M, Peltonen L, Rujescu D, Collier DA, Stefansson H, St Clair D, and Stefansson K
Subjects: Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Reference Values, Anxiety Disorders genetics, Bipolar Disorder genetics, DNA Copy Number Variations genetics, Kruppel-Like Transcription Factors genetics, Schizophrenia genetics
Abstract: A trio of genome-wide association studies recently reported sequence variants at three loci to be significantly associated with schizophrenia. No sequence polymorphism had been unequivocally (P<5 × 10(-8)) associated with schizophrenia earlier. However, one variant, rs1344706[T], had come very close. This polymorphism, located in an intron of ZNF804A, was reported to associate with schizophrenia with a P-value of 1.6 × 10(-7), and with psychosis (schizophrenia plus bipolar disorder) with a P-value of 1.0 × 10(-8). In this study, using 5164 schizophrenia cases and 20,709 controls, we replicated the association with schizophrenia (odds ratio OR = 1.08, P = 0.0029) and, by adding bipolar disorder patients, we also confirmed the association with psychosis (added N = 609, OR = 1.09, P = 0.00065). Furthermore, as it has been proposed that variants such as rs1344706[T]-common and with low relative risk-may also serve to identify regions harboring less common, higher-risk susceptibility alleles, we searched ZNF804A for large copy number variants (CNVs) in 4235 psychosis patients, 1173 patients with other psychiatric disorders and 39,481 controls. We identified two CNVs including at least part of ZNF804A in psychosis patients and no ZNF804A CNVs in controls (P = 0.013 for association with psychosis). In addition, we found a ZNF804A CNV in an anxiety patient (P = 0.0016 for association with the larger set of psychiatric disorders).
Published: 2011
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25. Copy number variations of chromosome 16p13.1 region associated with schizophrenia.

Author: Ingason A, Rujescu D, Cichon S, Sigurdsson E, Sigmundsson T, Pietiläinen OP, Buizer-Voskamp JE, Strengman E, Francks C, Muglia P, Gylfason A, Gustafsson O, Olason PI, Steinberg S, Hansen T, Jakobsen KD, Rasmussen HB, Giegling I, Möller HJ, Hartmann A, Crombie C, Fraser G, Walker N, Lonnqvist J, Suvisaari J, Tuulio-Henriksson A, Bramon E, Kiemeney LA, Franke B, Murray R, Vassos E, Toulopoulou T, Mühleisen TW, Tosato S, Ruggeri M, Djurovic S, Andreassen OA, Zhang Z, Werge T, Ophoff RA, Rietschel M, Nöthen MM, Petursson H, Stefansson H, Peltonen L, Collier D, Stefansson K, and St Clair DM
Subjects: Adolescent, Adult, Case-Control Studies, Child, Chromosome Mapping, Female, Humans, Male, Reference Values, Segmental Duplications, Genomic genetics, Sequence Deletion genetics, Young Adult, Chromosome Aberrations, Chromosomes, Human, Pair 16, DNA Copy Number Variations, Schizophrenia genetics
Abstract: Deletions and reciprocal duplications of the chromosome 16p13.1 region have recently been reported in several cases of autism and mental retardation (MR). As genomic copy number variants found in these two disorders may also associate with schizophrenia, we examined 4345 schizophrenia patients and 35,079 controls from 8 European populations for duplications and deletions at the 16p13.1 locus, using microarray data. We found a threefold excess of duplications and deletions in schizophrenia cases compared with controls, with duplications present in 0.30% of cases versus 0.09% of controls (P=0.007) and deletions in 0.12 % of cases and 0.04% of controls (P>0.05). The region can be divided into three intervals defined by flanking low copy repeats. Duplications spanning intervals I and II showed the most significant (P = 0.00010) association with schizophrenia. The age of onset in duplication and deletion carriers among cases ranged from 12 to 35 years, and the majority were males with a family history of psychiatric disorders. In a single Icelandic family, a duplication spanning intervals I and II was present in two cases of schizophrenia, and individual cases of alcoholism, attention deficit hyperactivity disorder and dyslexia. Candidate genes in the region include NTAN1 and NDE1. We conclude that duplications and perhaps also deletions of chromosome 16p13.1, previously reported to be associated with autism and MR, also confer risk of schizophrenia.
Published: 2011
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26. Common variants conferring risk of schizophrenia.

Author: Stefansson H, Ophoff RA, Steinberg S, Andreassen OA, Cichon S, Rujescu D, Werge T, Pietiläinen OP, Mors O, Mortensen PB, Sigurdsson E, Gustafsson O, Nyegaard M, Tuulio-Henriksson A, Ingason A, Hansen T, Suvisaari J, Lonnqvist J, Paunio T, Børglum AD, Hartmann A, Fink-Jensen A, Nordentoft M, Hougaard D, Norgaard-Pedersen B, Böttcher Y, Olesen J, Breuer R, Möller HJ, Giegling I, Rasmussen HB, Timm S, Mattheisen M, Bitter I, Réthelyi JM, Magnusdottir BB, Sigmundsson T, Olason P, Masson G, Gulcher JR, Haraldsson M, Fossdal R, Thorgeirsson TE, Thorsteinsdottir U, Ruggeri M, Tosato S, Franke B, Strengman E, Kiemeney LA, Melle I, Djurovic S, Abramova L, Kaleda V, Sanjuan J, de Frutos R, Bramon E, Vassos E, Fraser G, Ettinger U, Picchioni M, Walker N, Toulopoulou T, Need AC, Ge D, Yoon JL, Shianna KV, Freimer NB, Cantor RM, Murray R, Kong A, Golimbet V, Carracedo A, Arango C, Costas J, Jönsson EG, Terenius L, Agartz I, Petursson H, Nöthen MM, Rietschel M, Matthews PM, Muglia P, Peltonen L, St Clair D, Goldstein DB, Stefansson K, and Collier DA
Subjects: Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, Chromosomes, Human, Pair 11 genetics, Chromosomes, Human, Pair 18 genetics, Chromosomes, Human, Pair 6 genetics, DNA-Binding Proteins genetics, Genetic Markers genetics, Genome, Human genetics, Genome-Wide Association Study, Genotype, Humans, Major Histocompatibility Complex genetics, Neurogranin genetics, Schizophrenia immunology, Transcription Factor 4, Transcription Factors genetics, Genetic Predisposition to Disease genetics, Polymorphism, Single Nucleotide genetics, Schizophrenia genetics
Abstract: Schizophrenia is a complex disorder, caused by both genetic and environmental factors and their interactions. Research on pathogenesis has traditionally focused on neurotransmitter systems in the brain, particularly those involving dopamine. Schizophrenia has been considered a separate disease for over a century, but in the absence of clear biological markers, diagnosis has historically been based on signs and symptoms. A fundamental message emerging from genome-wide association studies of copy number variations (CNVs) associated with the disease is that its genetic basis does not necessarily conform to classical nosological disease boundaries. Certain CNVs confer not only high relative risk of schizophrenia but also of other psychiatric disorders. The structural variations associated with schizophrenia can involve several genes and the phenotypic syndromes, or the 'genomic disorders', have not yet been characterized. Single nucleotide polymorphism (SNP)-based genome-wide association studies with the potential to implicate individual genes in complex diseases may reveal underlying biological pathways. Here we combined SNP data from several large genome-wide scans and followed up the most significant association signals. We found significant association with several markers spanning the major histocompatibility complex (MHC) region on chromosome 6p21.3-22.1, a marker located upstream of the neurogranin gene (NRGN) on 11q24.2 and a marker in intron four of transcription factor 4 (TCF4) on 18q21.2. Our findings implicating the MHC region are consistent with an immune component to schizophrenia risk, whereas the association with NRGN and TCF4 points to perturbation of pathways involved in brain development, memory and cognition.
Published: 2009
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27. Disruption of the neurexin 1 gene is associated with schizophrenia.

Author: Rujescu D, Ingason A, Cichon S, Pietiläinen OP, Barnes MR, Toulopoulou T, Picchioni M, Vassos E, Ettinger U, Bramon E, Murray R, Ruggeri M, Tosato S, Bonetto C, Steinberg S, Sigurdsson E, Sigmundsson T, Petursson H, Gylfason A, Olason PI, Hardarsson G, Jonsdottir GA, Gustafsson O, Fossdal R, Giegling I, Möller HJ, Hartmann AM, Hoffmann P, Crombie C, Fraser G, Walker N, Lonnqvist J, Suvisaari J, Tuulio-Henriksson A, Djurovic S, Melle I, Andreassen OA, Hansen T, Werge T, Kiemeney LA, Franke B, Veltman J, Buizer-Voskamp JE, Sabatti C, Ophoff RA, Rietschel M, Nöthen MM, Stefansson K, Peltonen L, St Clair D, Stefansson H, and Collier DA
Subjects: Adolescent, Adult, Calcium-Binding Proteins, Case-Control Studies, Cell Adhesion Molecules, Neuronal, Exons, Female, Gene Deletion, Gene Dosage, Gene Duplication, Genetic Predisposition to Disease, Humans, Male, Neural Cell Adhesion Molecules, White People genetics, Young Adult, Gene Silencing, Nerve Tissue Proteins genetics, Schizophrenia genetics
Abstract: Deletions within the neurexin 1 gene (NRXN1; 2p16.3) are associated with autism and have also been reported in two families with schizophrenia. We examined NRXN1, and the closely related NRXN2 and NRXN3 genes, for copy number variants (CNVs) in 2977 schizophrenia patients and 33 746 controls from seven European populations (Iceland, Finland, Norway, Germany, The Netherlands, Italy and UK) using microarray data. We found 66 deletions and 5 duplications in NRXN1, including a de novo deletion: 12 deletions and 2 duplications occurred in schizophrenia cases (0.47%) compared to 49 and 3 (0.15%) in controls. There was no common breakpoint and the CNVs varied from 18 to 420 kb. No CNVs were found in NRXN2 or NRXN3. We performed a Cochran-Mantel-Haenszel exact test to estimate association between all CNVs and schizophrenia (P = 0.13; OR = 1.73; 95% CI 0.81-3.50). Because the penetrance of NRXN1 CNVs may vary according to the level of functional impact on the gene, we next restricted the association analysis to CNVs that disrupt exons (0.24% of cases and 0.015% of controls). These were significantly associated with a high odds ratio (P = 0.0027; OR 8.97, 95% CI 1.8-51.9). We conclude that NRXN1 deletions affecting exons confer risk of schizophrenia.
Published: 2009
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28. Large recurrent microdeletions associated with schizophrenia.

Author: Stefansson H, Rujescu D, Cichon S, Pietiläinen OP, Ingason A, Steinberg S, Fossdal R, Sigurdsson E, Sigmundsson T, Buizer-Voskamp JE, Hansen T, Jakobsen KD, Muglia P, Francks C, Matthews PM, Gylfason A, Halldorsson BV, Gudbjartsson D, Thorgeirsson TE, Sigurdsson A, Jonasdottir A, Jonasdottir A, Bjornsson A, Mattiasdottir S, Blondal T, Haraldsson M, Magnusdottir BB, Giegling I, Möller HJ, Hartmann A, Shianna KV, Ge D, Need AC, Crombie C, Fraser G, Walker N, Lonnqvist J, Suvisaari J, Tuulio-Henriksson A, Paunio T, Toulopoulou T, Bramon E, Di Forti M, Murray R, Ruggeri M, Vassos E, Tosato S, Walshe M, Li T, Vasilescu C, Mühleisen TW, Wang AG, Ullum H, Djurovic S, Melle I, Olesen J, Kiemeney LA, Franke B, Sabatti C, Freimer NB, Gulcher JR, Thorsteinsdottir U, Kong A, Andreassen OA, Ophoff RA, Georgi A, Rietschel M, Werge T, Petursson H, Goldstein DB, Nöthen MM, Peltonen L, Collier DA, St Clair D, and Stefansson K
Subjects: China, Chromosomes, Human, Pair 1 genetics, Chromosomes, Human, Pair 15 genetics, Europe, Gene Dosage genetics, Genome, Human genetics, Genotype, Humans, Loss of Heterozygosity, Models, Genetic, Polymorphism, Single Nucleotide genetics, Psychotic Disorders genetics, Genetic Predisposition to Disease genetics, Schizophrenia genetics, Sequence Deletion genetics
Abstract: Reduced fecundity, associated with severe mental disorders, places negative selection pressure on risk alleles and may explain, in part, why common variants have not been found that confer risk of disorders such as autism, schizophrenia and mental retardation. Thus, rare variants may account for a larger fraction of the overall genetic risk than previously assumed. In contrast to rare single nucleotide mutations, rare copy number variations (CNVs) can be detected using genome-wide single nucleotide polymorphism arrays. This has led to the identification of CNVs associated with mental retardation and autism. In a genome-wide search for CNVs associating with schizophrenia, we used a population-based sample to identify de novo CNVs by analysing 9,878 transmissions from parents to offspring. The 66 de novo CNVs identified were tested for association in a sample of 1,433 schizophrenia cases and 33,250 controls. Three deletions at 1q21.1, 15q11.2 and 15q13.3 showing nominal association with schizophrenia in the first sample (phase I) were followed up in a second sample of 3,285 cases and 7,951 controls (phase II). All three deletions significantly associate with schizophrenia and related psychoses in the combined sample. The identification of these rare, recurrent risk variants, having occurred independently in multiple founders and being subject to negative selection, is important in itself. CNV analysis may also point the way to the identification of additional and more prevalent risk variants in genes and pathways involved in schizophrenia.
Published: 2008
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29. Support for involvement of the AHI1 locus in schizophrenia.

Author: Ingason A, Sigmundsson T, Steinberg S, Sigurdsson E, Haraldsson M, Magnusdottir BB, Frigge ML, Kong A, Gulcher J, Thorsteinsdottir U, Stefansson K, Petursson H, and Stefansson H
Subjects: Adaptor Proteins, Vesicular Transport, Case-Control Studies, Genetic Markers, Humans, Iceland, Adaptor Proteins, Signal Transducing genetics, Schizophrenia genetics
Abstract: Recently, markers in the Abelson Helper Integration Site 1 (AHI1) region were shown to be associated with schizophrenia in a family sample of Israeli-Arabs. Here, we report a study evaluating the relevance of the AHI1 region to schizophrenia in an Icelandic sample. Seven markers shown to confer risk in the previous report were typed in 608 patients diagnosed with broad schizophrenia and 1,504 controls. Odds ratios for the overtransmitted alleles in the Israeli-Arab families ranged from 1.15 to 1.29 in the Icelandic sample. After Bonferroni correction for the seven markers tested, two markers were significantly associated with schizophrenia. Thus, our results are in general agreement with the previous report, with the strongest association signal observed in a region upstream of the AHI1 gene.
Published: 2007
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30. Neuregulin1 (NRG1) signaling through Fyn modulates NMDA receptor phosphorylation: differential synaptic function in NRG1+/- knock-outs compared with wild-type mice.

Author: Bjarnadottir M, Misner DL, Haverfield-Gross S, Bruun S, Helgason VG, Stefansson H, Sigmundsson A, Firth DR, Nielsen B, Stefansdottir R, Novak TJ, Stefansson K, Gurney ME, and Andresson T
Subjects: Animals, Antineoplastic Agents pharmacology, Antipsychotic Agents pharmacology, CHO Cells, COS Cells, Cell Differentiation drug effects, Cell Line, Tumor, Chlorocebus aethiops, Clozapine pharmacology, Cricetinae, Cricetulus, ErbB Receptors genetics, ErbB Receptors metabolism, Hippocampus cytology, Hippocampus physiology, Humans, Kidney cytology, Mice, Mice, Knockout, Neuregulin-1, Neuroblastoma, Neuronal Plasticity physiology, Phosphorylation, Proto-Oncogene Proteins c-fyn genetics, Receptor, ErbB-4, Signal Transduction physiology, Tretinoin pharmacology, Nerve Tissue Proteins genetics, Nerve Tissue Proteins metabolism, Proto-Oncogene Proteins c-fyn metabolism, Receptors, N-Methyl-D-Aspartate metabolism, Schizophrenia physiopathology, Synapses physiology
Abstract: We previously identified Neuregulin1 (NRG1) as a gene contributing to the risk of developing schizophrenia. Furthermore, we showed that NRG1+/- mutant mice display behavioral abnormalities that are reversed by clozapine, an atypical antipsychotic drug used for the treatment of schizophrenia. We now present evidence that ErbB4 (v-erb-a erythroblastic leukemia viral oncogene homolog 4), the tyrosine kinase receptor for NRG1 in hippocampal neurons, interacts with two nonreceptor tyrosine kinases, Fyn and Pyk2 (proline-rich tyrosine kinase 2). NRG1 stimulation of cells expressing ErbB4 and Fyn leads to the association of Fyn with ErbB4 and consequent activation. Furthermore, we show that NRG1 signaling, through activation of Fyn and Pyk2 kinases, stimulates phosphorylation of Y1472 on the NR2B subunit of the NMDA receptor (NMDAR), a key regulatory site that modulates channel properties. NR2B Y1472 is hypophosphorylated in NRG1+/- mutant mice, and this defect can be reversed by clozapine at a dose that reverses their behavioral abnormalities. We also demonstrate that short-term synaptic plasticity is altered and theta-burst long-term potentiation is impaired in NRG1+/- mutant mice, and incubation of hippocampal slices from these mice with NRG1 reversed those effects. Attenuated NRG1 signaling through ErbB4 may contribute to the pathophysiology of schizophrenia through dysfunction of NMDAR modulation. Thus, our data support the glutamate hypothesis of schizophrenia.
Published: 2007
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31. Identification of a novel neuregulin 1 at-risk haplotype in Han schizophrenia Chinese patients, but no association with the Icelandic/Scottish risk haplotype.

Author: Li T, Stefansson H, Gudfinnsson E, Cai G, Liu X, Murray RM, Steinthorsdottir V, Januel D, Gudnadottir VG, Petursson H, Ingason A, Gulcher JR, Stefansson K, and Collier DA
Subjects: Case-Control Studies, China epidemiology, Genetic Markers, Genetic Predisposition to Disease ethnology, Haplotypes, Humans, Iceland epidemiology, Risk Factors, Scotland epidemiology, White People genetics, Asian People genetics, Neuregulin-1 genetics, Schizophrenia ethnology, Schizophrenia genetics
Abstract: To determine if neuregulin 1 (NRG1) is associated with schizophrenia in Asian populations, we investigated a Han Chinese population using both a family trio design and a case-control design. A total of 25 microsatellite markers and single nucleotide polymorphisms (SNPs) were genotyped spanning the 1.1 Mb NRG1 gene including markers of a seven-marker haplotype at the 5' end of the gene found to be in excess in Icelandic and Scottish schizophrenia patients. The alleles of the individual markers forming the seven marker at-risk haplotype are not likely to be causative as they are not in excess in patients in the Chinese population studied here. However using unrelated patients, we find a novel haplotype (HAP(China 1)), immediately upstream of the Icelandic haplotype, in excess in patients (11.9% in patients vs 4.2% in controls; P=0.0000065, risk ratio (rr) 3.1), which was not significant when parental controls were used. Another haplotype (HAP(China 2)) overlapping the Icelandic risk haplotype was found in excess in the Chinese (8.5% of patients vs 4.0% of unrelated controls; P=0.003, rr 2.2) and was also significant using parental controls only (P=0.0047, rr 2.1). A four-marker haplotype at the 3' end of the NRG1 gene, HAP(China 3), was found at a frequency of 23.8% in patients and 13.7% in nontransmitted parental haplotypes (P=0.000042, rr=2.0) but was not significant in the case-control comparison. We conclude that different haplotypes within the boundaries of the NRG1 gene may be associated with schizophrenia in the Han Chinese.
Published: 2004
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32. Neuregulin 1 and schizophrenia.

Author: Stefansson H, Steinthorsdottir V, Thorgeirsson TE, Gulcher JR, and Stefansson K
Subjects: Animals, Gene Frequency genetics, Genetic Markers genetics, Glutamic Acid physiology, Humans, Mice, Mice, Knockout, Molecular Sequence Data, Paracrine Communication, Receptors, N-Methyl-D-Aspartate genetics, Genetic Predisposition to Disease genetics, Neuregulin-1 genetics, Neuregulin-1 physiology, Receptors, N-Methyl-D-Aspartate metabolism, Schizophrenia genetics
Abstract: We discuss in this review the role of the neuregulin (NRG1) gene in schizophrenia. NRG1 contributes to the genetics of schizophrenia in both Icelandic and Scottish schizophrenia patients. NRG1 participates in glutamatergic signaling by regulating the N-methyl-D-aspartate (NMDA) receptor through the interaction of the NRG1 protein and its receptors. NRG1 plays a central role in neural development and is most likely involved in regulating synaptic plasticity, or how the brain responds or adapts to the environment. The discovery that defects in NRG1 signaling may be involved in some cases of schizophrenia, not only implicates NRG1, but suggests that its biological pathway, active both at developing and mature synapses, is worth inspecting further in a search for other schizophrenia genes possibly in epistasis with NRG1.
Published: 2004
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33. Association of neuregulin 1 with schizophrenia confirmed in a Scottish population.

Author: Stefansson H, Sarginson J, Kong A, Yates P, Steinthorsdottir V, Gudfinnsson E, Gunnarsdottir S, Walker N, Petursson H, Crombie C, Ingason A, Gulcher JR, Stefansson K, and St Clair D
Subjects: Algorithms, Gene Frequency genetics, Genetic Markers genetics, Haplotypes genetics, Humans, Linkage Disequilibrium, Microsatellite Repeats genetics, Molecular Sequence Data, Polymorphism, Single Nucleotide genetics, Reproducibility of Results, Scotland, Genetic Predisposition to Disease genetics, Neuregulin-1 genetics, Schizophrenia genetics
Abstract: Recently, we identified neuregulin 1 (NRG1) as a susceptibility gene for schizophrenia in the Icelandic population, by a combined linkage and association approach. Here, we report the first study evaluating the relevance of NRG1 to schizophrenia in a population outside Iceland. Markers representing a core at-risk haplotype found in Icelanders at the 5' end of the NRG1 gene were genotyped in 609 unrelated Scottish patients and 618 unrelated Scottish control individuals. This haplotype consisted of five SNP markers and two microsatellites, which all appear to be in strong linkage disequilibrium. For the Scottish patients and control subjects, haplotype frequencies were estimated by maximum likelihood, using the expectation-maximization algorithm. The frequency of the seven-marker haplotype among the Scottish patients was significantly greater than that among the control subjects (10.2% vs. 5.9%, P=.00031). The estimated risk ratio was 1.8, which is in keeping with our report of unrelated Icelandic patients (2.1). Three of the seven markers in the haplotype gave single-point P values ranging from .000064 to .0021 for the allele contributing to the at-risk haplotype. This direct replication of haplotype association in a second population further implicates NRG1 as a factor that contributes to the etiology of schizophrenia.
Published: 2003
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34. Neuregulin 1 and susceptibility to schizophrenia.

Author: Stefansson H, Sigurdsson E, Steinthorsdottir V, Bjornsdottir S, Sigmundsson T, Ghosh S, Brynjolfsson J, Gunnarsdottir S, Ivarsson O, Chou TT, Hjaltason O, Birgisdottir B, Jonsson H, Gudnadottir VG, Gudmundsdottir E, Bjornsson A, Ingvarsson B, Ingason A, Sigfusson S, Hardardottir H, Harvey RP, Lai D, Zhou M, Brunner D, Mutel V, Gonzalo A, Lemke G, Sainz J, Johannesson G, Andresson T, Gudbjartsson D, Manolescu A, Frigge ML, Gurney ME, Kong A, Gulcher JR, Petursson H, and Stefansson K
Subjects: Animals, Chromosome Mapping, Disease Models, Animal, ErbB Receptors genetics, Female, Haplotypes, Humans, Male, Mice, Mice, Inbred C57BL, Molecular Sequence Data, Receptor, ErbB-4, Chromosomes, Human, Pair 8, Genetic Predisposition to Disease, Neuregulin-1 genetics, Schizophrenia genetics
Abstract: The cause of schizophrenia is unknown, but it has a significant genetic component. Pharmacologic studies, studies of gene expression in man, and studies of mouse mutants suggest involvement of glutamate and dopamine neurotransmitter systems. However, so far, strong association has not been found between schizophrenia and variants of the genes encoding components of these systems. Here, we report the results of a genomewide scan of schizophrenia families in Iceland; these results support previous work, done in five populations, showing that schizophrenia maps to chromosome 8p. Extensive fine-mapping of the 8p locus and haplotype-association analysis, supplemented by a transmission/disequilibrium test, identifies neuregulin 1 (NRG1) as a candidate gene for schizophrenia. NRG1 is expressed at central nervous system synapses and has a clear role in the expression and activation of neurotransmitter receptors, including glutamate receptors. Mutant mice heterozygous for either NRG1 or its receptor, ErbB4, show a behavioral phenotype that overlaps with mouse models for schizophrenia. Furthermore, NRG1 hypomorphs have fewer functional NMDA receptors than wild-type mice. We also demonstrate that the behavioral phenotypes of the NRG1 hypomorphs are partially reversible with clozapine, an atypical antipsychotic drug used to treat schizophrenia.
Published: 2002
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35. Assessment of Bidirectional Relationships Between Physical Activity and Depression Among Adults A 2-Sample Mendelian Randomization Study

Author: Choi, K.W., Chen, C.Y., Stein, M.B., Klimentidis, Y.C., Wang, M.J., Koenen, K.C., Smoller, J.W., Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T., Andlauer, T.F.M., Bacanu, S.A., Baekvad-Hansen, M., Beekman, A.T.F., Bigdeli, T.B., Binder, E.B., Blackwood, D.H.R., Bryois, J., Buttenschon, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Hvarregaard, J., Christensen, J.H., Clarke, T.K., Coleman, J.R.I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, F.F.H., Finucane, H.K., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W., Krogh, J., Kutalik, Z., Li, Y.H., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Marchini, J., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Saeed, S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J.X., Shyn, S.I., Sigurdsson, E., Sinnamon, G.C.B., Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Auwera, S. van der, Hemert, A.M. van, Viktorin, A., Visscher, P.M., Wang, Y.P., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.L.S., Yang, J., Zhang, F.T., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., Geus, E.J.C. de, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.Q.S., Lucae, S., Madden, P.A.F., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Nordentoft, M., Nothen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, B.W.J.H., Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Stefansson, K., Tiemeier, H., Uher, R., Volzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Borglum, A.D., Sullivan, P.F., Major Depressive Disorder Working, Epidemiology, Internal Medicine, Child and Adolescent Psychiatry / Psychology, Psychiatry, Biological Psychology, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, and Adult Psychiatry
Subjects: Adult, DISORDER, medicine.medical_specialty, Genome-wide association study, EXERCISE, CAUSALITY, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, PEOPLE, Internal medicine, Accelerometry, Mendelian randomization, SCHIZOPHRENIA, Humans, Medicine, ANXIETY, Exercise, RISK, Depressive Disorder, Major, business.industry, Case-control study, SEDENTARY BEHAVIOR, Mendelian Randomization Analysis, Odds ratio, ASSOCIATION, Protective Factors, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Sample size determination, Case-Control Studies, Meta-analysis, Major depressive disorder, Self Report, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Importance: Increasing evidence shows that physical activity is associated with reduced risk for depression, pointing to a potential modifiable target for prevention. However, the causality and direction of this association are not clear; physical activity may protect against depression, and/or depression may result in decreased physical activity.Objective: To examine bidirectional relationships between physical activity and depression using a genetically informed method for assessing potential causal inference.Design, Setting, and Participants: This 2-sample mendelian randomization (MR) used independent top genetic variants associated with 2 physical activity phenotypes-self-reported (n = 377 234) and objective accelerometer-based (n = 91 084)-and with major depressive disorder (MDD) (n = 143 265) as genetic instruments from the largest available, nonoverlapping genome-wide association studies (GWAS). GWAS were previously conducted in diverse observational cohorts, including the UK Biobank (for physical activity) and participating studies in the Psychiatric Genomics Consortium (for MDD) among adults of European ancestry. Mendelian randomization estimates from each genetic instrument were combined using inverse variance weighted meta-analysis, with alternate methods (eg, weighted median, MR Egger, MR-Pleiotropy Residual Sum and Outlier [PRESSO]) and multiple sensitivity analyses to assess horizontal pleiotropy and remove outliers. Data were analyzed from May 10 through July 31, 2018.Main Outcomes and Measures: MDD and physical activity.Results: GWAS summary data were available for a combined sample size of 611 583 adult participants. Mendelian randomization evidence suggested a protective relationship between accelerometer-based activity and MDD (odds ratio [OR], 0.74 for MDD per 1-SD increase in mean acceleration; 95% CI, 0.59-0.92; P = .006). In contrast, there was no statistically significant relationship between MDD and accelerometer-based activity (β = -0.08 in mean acceleration per MDD vs control status; 95% CI, -0.47 to 0.32; P = .70). Furthermore, there was no significant relationship between self-reported activity and MDD (OR, 1.28 for MDD per 1-SD increase in metabolic-equivalent minutes of reported moderate-to-vigorous activity; 95% CI, 0.57-3.37; P = .48), or between MDD and self-reported activity (β = 0.02 per MDD in standardized metabolic-equivalent minutes of reported moderate-to-vigorous activity per MDD vs control status; 95% CI, -0.008 to 0.05; P = .15).Conclusions and Relevance: Using genetic instruments identified from large-scale GWAS, robust evidence supports a protective relationship between objectively assessed-but not self-reported-physical activity and the risk for MDD. Findings point to the importance of objective measurement of physical activity in epidemiologic studies of mental health and support the hypothesis that enhancing physical activity may be an effective prevention strategy for depression.
Published: 2019

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

Author: Grove, J., Ripke, S., Als, T.D., Mattheisen, M., Walters, R.K., Won, H., Pallesen, J., Agerbo, E., Andreassen, O.A., Anney, R., Awashti, S., Belliveau, R., Bettella, F., Buxbaum, J.D., Bybjerg-Grauholm, J., Baekvad-Hansen, M., Cerrato, F., Chambert, K., Christensen, J.H., Churchhouse, C., Dellenvall, K., Demontis, D., Rubeis, S. de, Devlin, B., Djurovic, S., Dumont, A.L., Goldstein, J.I., Hansen, C.S., Hauberg, M.E., Hollegaard, M.V., Hope, S., Howrigan, D.P., Huang, H., Hultman, C.M., Klei, L., Maller, J., Martin, J., Martin, A.R., Moran, J.L., Nyegaard, M., Naeland, T., Palmer, D.S., Palotie, A., Pedersen, C.B., Pedersen, M.G., dPoterba, T., Poulsen, J.B., St Pourcain, B., Qvist, P., Rehnstrom, K., Reichenberg, A., Reichert, J., Robinson, E.B., Roeder, K., Roussos, P., Saemundsen, E., Sandin, S., Satterstrom, F.K., Smith, G.D., Stefansson, H., Steinberg, S., Stevens, C.R., Sullivan, P.F., Turley, P., Walters, G.B., Xu, X.Y., Stefansson, K., Geschwind, D.H., Nordentoft, M., Hougaard, D.M., Werge, T., Mors, O., Mortensen, P.B., Neale, B.M., Daly, M.J., Borglum, A.D., Wray, N.R., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Air, T.M., Andlauer, T.F.M., Bacanu, S.A., Beekman, A.T.F., Bigdeli, T.B., Binder, E.B., Blackwood, D.H.R., Bryois, J., Buttenschon, H.N., Cai, N., Castelao, E., Clarke, T.K., Coleman, J.R.I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, F.F.H., Finucane, H.K., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Hall, L.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Ising, M., Jansen, R., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Krogh, J., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J.X., Shyn, S.I., Sigurdsson, E., Sinnamon, G.C.B., Smit, J.H., Smith, D.J., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Auwera, S. van der, Hemert, A.M. van, Viktorin, A., Visscher, P.M., Wang, Y.P., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F.T., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., Geus, E.J.C. de, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.S., Lucae, S., Madden, P.A.F., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Muller-Myhsok, B., Nothen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, B.W.J.H., Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Tiemeier, H., Uher, R., Volzke, H., Weissman, M.M., Lewis, C.M., Levinson, D.F., Breen, G., Agee, M., Alipanahi, B., Auton, A., Bell, R.K., Bryc, K., Elson, S.L., Fontanillas, P., Furlotte, N.A., Hromatka, B.S., Huber, K.E., Kleinman, A., Litterman, N.K., McIntyre, M.H., Mountain, J.L., Noblin, E.S., Northover, C.A.M., Pitts, S.J., Sathirapongsasuti, J.F., Sazonova, O.V., Shelton, J.F., Shringarpure, S., Tung, J.Y., Vacic, V., Wilson, C.H., Psychiat Genomics Consortium, BUPGEN, 23andMe Re, Biological Psychology, APH - Methodology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Adult Psychiatry, Psychiatry, Human genetics, Amsterdam Reproduction & Development (AR&D), VU University medical center, APH - Digital Health, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium, BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Me Research Team, Epidemiology, and Child and Adolescent Psychiatry / Psychology
Subjects: Male, Netherlands Twin Register (NTR), Multifactorial Inheritance, Autism Spectrum Disorder, Denmark, LD SCORE REGRESSION, LOCI, Genome-wide association study, DE-NOVO, 0302 clinical medicine, Polymorphism (computer science), Risk Factors, SYNAPTIC PLASTICITY, CELL-SURFACE, Child, Genetics, 0303 health sciences, HERITABILITY, Genetic Predisposition to Disease/genetics, 1184 Genetics, developmental biology, physiology, Polymorphism, Single Nucleotide/genetics, Phenotype, 3. Good health, Schizophrenia, Autism spectrum disorder, Child, Preschool, Genome-Wide Association Study/methods, Female, SIMONS SIMPLEX COLLECTION, Adolescent, Biology, NEURITE OUTGROWTH, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Article, 03 medical and health sciences, mental disorders, medicine, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, SDG 2 - Zero Hunger, Multifactorial Inheritance/genetics, METAANALYSIS, 030304 developmental biology, Case-control study, Heritability, medicine.disease, Autism Spectrum Disorder/genetics, Case-Control Studies, 3111 Biomedicine, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Published in final edited form as: Nat Genet. 2019 March ; 51(3): 431–444. doi:10.1038/s41588-019-0344-8., 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. 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., The iPSYCH project is funded by the Lundbeck Foundation (grant numbers R102-A9118 and R155-2014-1724) and the universities and university hospitals of Aarhus and Copenhagen. Genotyping of iPSYCH and PGC samples was supported by grants from the Lundbeck Foundation, the Stanley Foundation, the Simons Foundation (SFARI 311789 to MJD), and NIMH (5U01MH094432–02 to MJD). The Danish National Biobank resource was supported by the Novo Nordisk Foundation. Data handling and analysis on the GenomeDK HPC facility was supported by NIMH (1U01MH109514–01 to M O’Donovan and ADB). High-performance computer capacity for handling and statistical analysis of iPSYCH data on the GenomeDK HPC facility was provided by the Centre for Integrative Sequencing, iSEQ, Aarhus University, Denmark (grant to ADB). Drs. S De Rubeis and JD Buxbaum were supported by NIH grants MH097849 (to JDB) and MH111661 (to JDB), and by the Seaver Foundation (to SDR and JDB). Dr J Martin was supported by the Wellcome Trust (grant no: 106047). O. Andreassen received funding from Research Council of Norway (#213694, #223273, #248980, #248778), Stiftelsen KG Jebsen and South-East Norway Health Authority. We thank the research participants and employees of 23andMe for making this work possible.
Published: 2019

37. Genome-wide association study reveals greater polygenic loading for schizophrenia in cases with a family history of illness

Author: Bigdeli, T. B, Ripke, S, Bacanu, Sa, Lee, S. H, Wray, Nr, Gejman, P. V, Rietschel, M, Cichon, S, St Clair, D, Corvin, A, Kirov, G, Mcquillin, A, Gurling, H, Rujescu, D, Andreassen, O. A, Werge, T, Blackwood, D. H. R, Pato, C. N, Pato, M. T, Malhotra, A. K, O'Donovan, M. C, Kendler, K. S, Fanous, A. H, Neale, Bm, Walters, Jt, Farh, Kh, Holmans, Pa, Lee, P, Bulik Sullivan, B, Collier, Da, Huang, H, Pers, Th, Agartz, I, Agerbo, E, Albus, M, Alexander, M, Amin, F, Begemann, M, Belliveau, Ra, Bene, J, Bergen, Se, Bevilacqua, E, Bigdeli, Tb, Black, Dw, Børglum, Ad, Bruggeman, R, Buccola, Ng, Buckner, Rl, Byerley, W, Cahn, W, Cai, G, Campion, D, Cantor, Rm, Carr, Vj, Carrera, N, Catts, Sv, Chambert, Kd, Chan, Rc, Chen, Ry, Chen, Ey, Cheng, W, Cheung, Ef, Chong, Sa, Cloninger, C, Cohen, D, Cohen, N, Cormican, P, Craddock, N, Crowley, Jj, Curtis, D, Davidson, M, Davis, Kl, Degenhardt, F, Del, Favero, J, Delisi, Le, Demontis, D, Dikeos, D, Dinan, T, Djurovic, S, Donohoe, G, Drapeau, E, Duan, J, Dudbridge, F, Durmishi, N, Eichhammer, P, Eriksson, J, Escott Price, V, Essioux, L, Fanous, Ah, Farrell, Ms, Frank, J, Franke, L, Freedman, R, Freimer, Nb, Friedl, M, Friedman, Ji, Fromer, M, Genovese, G, Georgieva, L, Gershon, Es, Giegling, I, Giusti Rodríguez, P, Godard, S, Goldstein, Ji, Golimbet, V, Gopal, S, Gratten, J, Grove, J, Haan, De, L, Hammer, C, Hamshere, Ml, Hansen, M, Hansen, T, Haroutunian, V, Hartmann, Am, Henskens, Fa, Herms, S, Hirschhorn, Jn, Hoffmann, P, Hofman, A, Hollegaard, Mv, Hougaard, Dm, Ikeda, M, Joa, I, Julìa, A, Kahn, Rs, Kalaydjieva, L, Karachanak Yankova, S, Karjalainen, J, Kavanagh, D, Keller, Mc, Kelly, Bj, Kennedy, Jl, Khrunin, A, Kim, Y, Klovins, J, Knowles, Ja, Konte, B, Kucinskas, V, Kucinskiene, Za, Kuzelova Ptackova, H, Kähler, Ak, Laurent, C, Keong, Jl, Lee, S, Legge, Se, Lerer, B, Li, M, Li, T, Liang, Ky, Lieberman, J, Limborska, S, Loughland, Cm, Lubinski, J, Lönnqvist, J, Macek, M, Magnusson, Pk, Maher, Bs, Maier, W, Mallet, J, Marsal, S, Mattheisen, M, Mattingsdal, M, Mccarley, Rw, Mcdonald, C, Mcintosh, Am, Meier, S, Meijer, Cj, Melegh, B, Melle, I, Mesholam Gately, Ri, Metspalu, A, Michie, Pt, Milani, L, Milanova, V, Mokrab, Y, Morris, Dw, Mors, O, Mortensen, Pb, Murphy, Kc, Murray, Rm, Myin Germeys, I, Müller Myhsok, B, Nelis, M, Nenadic, I, Nertney, Da, Nestadt, G, Nicodemus, Kk, Nikitina Zake, L, Nisenbaum, L, Nordin, A, O'Callaghan, E, O'Dushlaine, C, O'Neill, F, Sy, Oh, Olincy, A, Olsen, L, Jv, Os, Pantelis, C, Papadimitriou, Gn, Papiol, S, Parkhomenko, E, Pato, Mt, Paunio, T, Pejovic Milovancevic, M, Perkins, Do, Pietiläinen, O, Pimm, J, Pocklington, Aj, Powell, J, Price, A, Pulver, Ae, Purcell, Sm, Quested, D, Rasmussen, Hb, Reichenberg, A, Reimers, Ma, Richards, Al, Roffman, Jl, Roussos, P, Ruderfer, Dm, Salomaa, V, Sanders, Ar, Schall, U, Schubert, Cr, Schulze, Tg, Schwab, Sg, Scolnick, Em, Scott, Rj, Seidman, Lj, Shi, J, Sigurdsson, E, Silagadze, T, Silverman, Jm, Sim, K, Slominsky, P, Smoller, Jw, Hc, So, Spencer, Cc, Stahl, Ea, Stefansson, H, Steinberg, S, Stogmann, E, Straub, Re, Strengman, E, Strohmaier, J, Stroup, T, Subramaniam, M, Suvisaari, J, Svrakic, Dm, Szatkiewicz, Jp, Söderman, E, Thirumalai, S, Toncheva, D, Tooney, Pa, Tosato, Sarah, Veijola, J, Waddington, J, Walsh, D, Wang, D, Wang, Q, Webb, Bt, Weiser, M, Wildenauer, Db, Williams, Nm, Williams, S, Witt, Sh, Wolen, Ar, Wong, Eh, Wormley, Bk, Jq, Wu, Hs, Xi, Zai, Cc, Zheng, X, Zimprich, F, Stefansson, K, Visscher, Pm, Adolfsson, R, Andreassen, Oa, Blackwood, Dh, Bramon, E, Buxbaum, Jd, Darvasi, A, Domenici, E, Ehrenreich, H, Esko, T, Gejman, Pv, Gill, M, Hultman, Cm, Iwata, N, Jablensky, Av, Jönsson, Eg, Kendler, Ks, Knight, J, Lencz, T, Levinson, Df, Qs, Li, Liu, J, Malhotra, Ak, Mccarroll, Sa, Moran, Jl, Mowry, Bj, Nöthen, Mm, Ophoff, Ra, Owen, Mj, Palotie, A, Pato, Cn, Petryshen, Tl, Posthuma, D, Riley, Bp, Sham, Pc, Sklar, P, Clair, Ds, Weinberger, Dr, Wendland, Jr, Daly, Mj, Sullivan, Pf, O'Donovan, Mc, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Bigdeli, Tim B, Ripke, Stephan, Bacanu, Silviu-Alin, Lee, Sang Hong, Fanous, Ayman H, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Psychosis Endophenotype International Consortium, Wellcome Trust Case-Control Consortium 2, Other departments, Adult Psychiatry, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), and Del-Favero, Jurgen
Subjects: 0301 basic medicine, Multifactorial Inheritance, Bipolar Disorder, Inheritance Patterns, Genome-wide association study, Single-nucleotide polymorphism, polygenic, heritability, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, medicine, Humans, SNP, GWAS, Family, Genetic Predisposition to Disease, Family history, Allele, Genetics (clinical), Genetic association, Genetics & Heredity, Psychiatry, Genetics, Depressive Disorder, Major, family history, Models, Genetic, Case-control study, medicine.disease, 3. Good health, schizophrenia, Psychiatry and Mental health, 030104 developmental biology, Schizophrenia, Case-Control Studies, Human medicine, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Genome-wide association studies (GWAS) of schizophrenia have yielded more than 100 common susceptibility variants, and strongly support a substantial polygenic contribution of a large number of small allelic effects. It has been hypothesized that familial schizophrenia is largely a consequence of inherited rather than environmental factors. We investigated the extent to which familiality of schizophrenia is associated with enrichment for common risk variants detectable in a large GWAS. We analyzed single nucleotide polymorphism (SNP) data for cases reporting a family history of psychotic illness (N=978), cases reporting no such family history (N=4,503), and unscreened controls (N=8,285) from the Psychiatric Genomics Consortium (PGC1) study of schizophrenia. We used a multinomial logistic regression approach with model-fitting to detect allelic effects specific to either family history subgroup. We also considered a polygenic model, in which we tested whether family history positive subjects carried more schizophrenia risk alleles than family history negative subjects, on average. Several individual SNPs attained suggestive but not genome-wide significant association with either family history subgroup. Comparison of genome-wide polygenic risk scores based on GWAS summary statistics indicated a significant enrichment for SNP effects among family history positive compared to family history negative cases (Nagelkerke's R-2=0.0021; P=0.00331; P-value threshold
Published: 2016

38. Genome-wide common and rare variant analysis provides novel insights into clozapine-associated neutropenia

Author: Legge, S. E., Hamshere, M. L., Ripke, S., Pardinas, A. F., Goldstein, J. I., Rees, E., Richards, A. L., Leonenko, G., Jorskog, L. F., Jarskog, L. F., Hilliard, C., Alfirevic, A., Duncan, L., Fourches, D., Huang, H., Lek, M., Neale, B. M., Shianna, K., Szatkiewicz, J. P., Tropsha, A., van den Oord, E. J. C. G., Cascorbi, I., Dettling, M., Gazit, E., Goff, D. C., Holden, A. L., Kelly, D. L., Malhotra, A. K, Nielsen, J., Pirmohamed, M., Rujescu, D., Werge, T., Levy, D. L., Josiassen, R. C., Kennedy, J. L., Lieberman, J. A., Daly, M. J., Sullivan, P. F., Chambert, K. D., Collier, D. A., Genovese, G., Giegling, I., Holmans, P., Jonasdottir, A., Kirov, G., McCarroll, S. A., MacCabe, J. H., Mantripragada, K, Moran, J. L., Stefansson, H., Owen, M. J., O'Donovan, M. C., Walters, J.T. R, and Clozapine-Induced Agranulocytosis Consortium
Subjects: 0301 basic medicine, Male, Published Erratum, Neutropenia, Section (typography), Genome-wide association study, Human leukocyte antigen, Computational biology, Pharmacology, Bioinformatics, Genome, 03 medical and health sciences, Cellular and Molecular Neuroscience, Solute Carrier Organic Anion Transporter Family Member 1B3, 0302 clinical medicine, medicine, Odds Ratio, SNP, HLA-DQ beta-Chains, Humans, Exome, Molecular Biology, Clozapine, 030304 developmental biology, 0303 health sciences, HLA-DQB1, business.industry, Case-control study, Odds ratio, medicine.disease, 3. Good health, Psychiatry and Mental health, 030104 developmental biology, Case-Control Studies, Schizophrenia, RC0321, Original Article, Female, business, Carrier Proteins, Corrigendum, 030217 neurology & neurosurgery, medicine.drug, Genome-Wide Association Study
Abstract: The antipsychotic clozapine is uniquely effective in the management of schizophrenia; however, its use is limited by its potential to induce agranulocytosis. The causes of this, and of its precursor neutropenia, are largely unknown, although genetic factors have an important role. We sought risk alleles for clozapine-associated neutropenia in a sample of 66 cases and 5583 clozapine-treated controls, through a genome-wide association study (GWAS), imputed human leukocyte antigen (HLA) alleles, exome array and copy-number variation (CNV) analyses. We then combined associated variants in a meta-analysis with data from the Clozapine-Induced Agranulocytosis Consortium (up to 163 cases and 7970 controls). In the largest combined sample to date, we identified a novel association with rs149104283 (odds ratio (OR)=4.32, P=1.79 × 10−8), intronic to transcripts of SLCO1B3 and SLCO1B7, members of a family of hepatic transporter genes previously implicated in adverse drug reactions including simvastatin-induced myopathy and docetaxel-induced neutropenia. Exome array analysis identified gene-wide associations of uncommon non-synonymous variants within UBAP2 and STARD9. We additionally provide independent replication of a previously identified variant in HLA-DQB1 (OR=15.6, P=0.015, positive predictive value=35.1%). These results implicate biological pathways through which clozapine may act to cause this serious adverse effect.
Published: 2017

39. Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases

Author: Gusev, A, Lee, Sh, SWE SCZ, Consortium, O'Dushlaine, Cgusev, Trynka, G, Finucane, H, Vilhjálmsson, Bj, Xu, H, Zang, C, Ripke, S, Bulik Sullivan, B, Stahl, E, Schizophrenia, Working, Neale, Bm, Corvin, A, Walters, Jt, Farh, Kh, Holmans, Pa, Lee, P, Collier, Da, Huang, H, Pers, Th, Agartz, I, Agerbo, E, Albus, M, Alexander, M, Amin, F, Bacanu, Sa, Begemann, M, Belliveau, Ra, Bene, J, Bergen, Se, Bevilacqua, E, Bigdeli, Tb, Black, Dw, Børglum, Ad, Bruggeman, R, Buccola, Ng, Buckner, Rl, Byerley, W, Cahn, W, Cai, G, Campion, D, Cantor, Rm, Carr, Vj, Carrera, N, Catts, Sv, Chambert, Kd, Chan, Rc, Chen, Ry, Chen, Ey, Cheng, W, Cheung, Ef, Chong, Sa, Cloninger, Cr, Cohen, D, Cohen, N, Cormican, P, Craddock, N, Crowley, Jj, Curtis, D, Davidson, M, Davis, Kl, Degenhardt, F, Del, Favero, Delisi, Le, Demontis, D, Dikeos, D, Dinan, T, Djurovic, S, Donohoe, G, Drapeau, E, Duan, J, Dudbridge, F, Durmishi, N, Eichhammer, P, Eriksson, J, Escott Price, V, Essioux, L, Fanous, Ah, Farrell, Ms, Frank, J, Franke, L, Freedman, R, Freimer, Nb, Friedl, M, Friedman, Ji, Fromer, M, Genovese, G, Georgieva, L, Gershon, Es, Giegling, I, Giusti Rodrguez, P, Godard, S, Goldstein, Ji, Golimbet, V, Gopal, S, Gratten, J, Grove, J, Haan, De, Hammer, C, Hamshere, Ml, Hansen, M, Hansen, T, Haroutunian, V, Hartmann, Am, Henskens, Fa, Herms, S, Hirschhorn, Jn, Hoffmann, P, Hofman, A, Hollegaard, Mv, Hougaard, Dm, Ikeda, M, Joa, I, Julià, A, Kahn, Rs, Kalaydjieva, L, Karachanak Yankova, S, Karjalainen, J, Kavanagh, D, Keller, Mc, Kelly, Bj, Kennedy, Jl, Khrunin, A, Kim, Y, Klovins, J, Knowles, Ja, Konte, B, Kucinskas, V, Kucinskiene, Za, Kuzelova Ptackova, H, Kähler, Ak, Laurent, C, Keong, Jl, Legge, Se, Lerer, B, Li, M, Li, T, Liang, Ky, Lieberman, J, Limborska, S, Loughland, Cm, Lubinski, J, Lnnqvist, J, Macek, M, Magnusson, Pk, Maher, Bs, Maier, W, Mallet, J, Marsal, S, Mattheisen, M, Mattingsdal, M, Mccarley, Rw, Mcdonald, C, Mcintosh, Am, Meier, S, Meijer, Cj, Melegh, B, Melle, I, Mesholam Gately, Ri, Metspalu, A, Michie, Pt, Milani, L, Milanova, V, Mokrab, Y, Morris, Dw, Mors, O, Mortensen, Pb, Murphy, Kc, Murray, Rm, Myin Germeys, I, Mller Myhsok, B, Nelis, M, Nenadic, I, Nertney, Da, Nestadt, G, Nicodemus, Kk, Nikitina Zake, L, Nisenbaum, L, Nordin, A, O'Callaghan, E, O'Dushlaine, C, O'Neill, Fa, Sy, Oh, Olincy, A, Olsen, L, Van, Os, Pantelis, C, Papadimitriou, Gn, Papiol, S, Parkhomenko, E, Pato, Mt, Paunio, T, Pejovic Milovancevic, M, Perkins, Do, Pietilinen, O, Pimm, J, Pocklington, Aj, Powell, J, Price, A, Pulver, Ae, Purcell, Sm, Quested, D, Rasmussen, Hb, Reichenberg, A, Reimers, Ma, Richards, Al, Roffman, Jl, Roussos, P, Ruderfer, Dm, Salomaa, V, Sanders, Ar, Schall, U, Schubert, Cr, Schulze, Tg, Schwab, Sg, Scolnick, Em, Scott, Rj, Seidman, Lj, Shi, J, Sigurdsson, E, Silagadze, T, Silverman, Jm, Sim, K, Slominsky, P, Smoller, Jw, Hc, So, Spencer, Cc, Stahl, Ea, Stefansson, H, Steinberg, S, Stogmann, E, Straub, Re, Strengman, E, Strohmaier, J, Stroup, Ts, Subramaniam, M, Suvisaari, J, Svrakic, Dm, Szatkiewicz, Jp, Sderman, E, Thirumalai, S, Toncheva, D, Tooney, Pa, Tosato, Sarah, Veijola, J, Waddington, J, Walsh, D, Wang, D, Wang, Q, Webb, Bt, Weiser, M, Wildenauer, Db, Williams, Nm, Williams, S, Witt, Sh, Wolen, Ar, Wong, Eh, Wormley, Bk, Jq, Wu, Hs, Xi, Zai, Cc, Zheng, X, Zimprich, F, Wray, Nr, Stefansson, K, Visscher, Pm, Adolfsson, R, Andreassen, Oa, Blackwood, Dh, Bramon, E, Buxbaum, Jd, Brglum, Ad, Cichon, S, Darvasi, A, Domenici, E, Ehrenreich, H, Esko, T, Gejman, Pv, Gill, M, Gurling, H, Hultman, Cm, Iwata, N, Jablensky, Av, Jönsson, Eg, Kendler, Ks, Kirov, G, Knight, J, Lencz, T, Levinson, Df, Qs, Li, Liu, J, Malhotra, Ak, Mccarroll, Sa, Mcquillin, A, Moran, Jl, Mowry, Bj, Nthen, Mm, Ophoff, Ra, Owen, Mj, Palotie, A, Pato, Cn, Petryshen, Tl, Posthuma, D, Rietschel, M, Riley, Bp, Rujescu, D, Sham, Pc, Sklar, P, Clair, St, Weinberger, Dr, Wendland, Jr, Werge, T, Daly, Mj, Sullivan, Pf, O'Donovan, Mc, Chambert, K, Akterin, S, Bergen, S, Ruderfer, D, Scolnick, E, Purcell, S, Mccarroll, S, Daly, M, Pasaniuc, B, Raychaudhuri, S, Price, Al, Gusev, Alexander, Lee, S Hong, Trynka, Gosia, Finucane, Hilary K, Price, Alkes L, Schizophrenia Working Group of the Psychiatric Genomics Consortium, SWE-SCZ Consortium, ANS - Amsterdam Neuroscience, Adult Psychiatry, Other departments, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, Complex Trait Genetics, Functional Genomics, and Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease
Subjects: Linkage disequilibrium, GWAS, schizophrenia, SNP, trait heritability, disease architecture, Inheritance Patterns, Single-nucleotide polymorphism, Genome-wide association study, Biology, Article, Open Reading Frames, SDG 3 - Good Health and Well-being, Genetic, Models, Genotype, Genetics, Humans, Genetics(clinical), Computer Simulation, Regulatory Elements, Transcriptional, Exome, Genetics (clinical), genotype imputation, Genetic association, Genetics & Heredity, genome-wide association study, Models, Genetic, Genetic Diseases, Inborn, Genetic Variation, Heritability, exome chips, Regulatory Elements, Inborn, Genetic Diseases, Transcriptional, coding variants, Genome-Wide Association Study
Abstract: Regulatory and coding variants are known to be enriched with associations identified by genome-wide association studies (GWASs) of complex disease, but their contributions to trait heritability are currently unknown. We applied variance-component methods to imputed genotype data for 11 common diseases to partition the heritability explained by genotyped SNPs (h(g)(2)) across functional categories (while accounting for shared variance due to linkage disequilibrium). Extensive simulations showed that in contrast to current estimates from GWAS summary statistics, the variance-component approach partitions heritability accurately under a wide range of complex-disease architectures. Across the 11 diseases DNaseI hypersensitivity sites (DHSs) from 217 cell types spanned 16% of imputed SNPs (and 24% of genotyped SNPs) but explained an average of 79% (SE = 8%) of h(g)(2) from imputed SNPs (5.1 x enrichment; p = 3.7 x 10(-17)) and 38% (SE = 4%) of h(g)(2) from genotyped SNPs (1.6 x enrichment, p = 1.0 x 10(-4)). Further enrichment was observed at enhancer DHSs and cell-type-specific DHSs. In contrast, coding variants, which span 1% of the genome, explained
Published: 2014

40. Variability in Working Memory Performance Explained by Epistasis vs Polygenic Scores in the ZNF804A Pathway

Author: Nicodemus, Kk, Hargreaves, A, Morris, D, Anney, R, Gill, M, Corvin, A, Donohoe, G, Ripke, S, Sanders, Ar, Kendler, Ks, Levinson, Df, Sklar, P, Holmans, Pa, Lin, Dy, Duan, J, Ophoff, Ra, Andreassen, Oa, Scolnick, E, Cichon, S, Clair, St, D, Gurling, H, Werge, T, Rujescu, D, Blackwood, Dh, Pato, Cn, Malhotra, Ak, Purcell, S, Dudbridge, F, Neale, Bm, Rossin, L, Visscher, Pm, Posthuma, D, Ruderfer, Dm, Fanous, A, Stefansson, H, Steinberg, S, Mowry, Bj, Golimbet, V, Hert, De, M, Jönsson, Eg, Bitter, I, Pietiläinen, Op, Collier, Da, Tosato, Sarah, Agartz, I, Albus, M, Alexander, M, Amdur, Rl, Amin, F, Bass, N, Bergen, Se, Black, Dw, Børglum, Ad, Brown, Ma, Bruggeman, R, Buccola, Ng, Byerley, Wf, Cahn, W, Cantor, Rm, Carr, Vj, Catts, Sv, Choudhury, K, Cloninger, C, Cormican, P, Craddock, N, Danoy, Pa, Datta, S, Haan, De, L, Demontis, D, Dikeos, D, Djurovic, S, Donnelly, P, Duong, L, Dwyer, S, Fink Jensen, A, Freedman, R, Freimer, Nb, Friedl, M, Georgieva, L, Giegling, I, Glenthøj, B, Godard, S, Hamshere, M, Hansen, M, Hansen, T, Hartmann, Am, Henskens, Fa, Hougaard, Dm, Hultman, Cm, Ingason, A, Jablensky, Av, Jakobsen, Kd, Jay, M, Jürgens, G, Kahn, Rs, Keller, Mc, Kenis, G, Kenny, E, Kim, Y, Kirov, Gk, Konnerth, H, Konte, B, Krabbendam, L, Krasucki, R, Lasseter, Vk, Laurent, C, Lawrence, J, Lencz, T, Lerer, F, Liang, Ky, Lichtenstein, P, Lieberman, Ja, Linszen, Dh, Lönnqvist, J, Loughland, Cm, Maclean, Aw, Maher, Bs, Maier, W, Mallet, J, Malloy, P, Mattheisen, M, Mattingsdal, M, Mcghee, Ka, Mcgrath, Jj, Mcintosh, A, Mclean, De, Mcquillin, A, Melle, I, Michie, Pt, Milanova, V, Morris, Dw, Mors, O, Mortensen, Pb, Moskvina, V, Muglia, P, Myin Germeys, I, Nertney, Da, Nestadt, G, Nielsen, J, Nikolov, I, Nordentoft, M, Norton, N, Nöthen, Mm, O'Dushlaine, Ct, Olincy, A, Olsen, L, O'Neill, F, Ørntoft, Tf, Owen, Mj, Pantelis, C, Papadimitriou, G, Pato, Mt, Peltonen, L, Petursson, H, Pickard, B, Pimm, J, Pulver, Ae, Puri, V, Quested, D, Quinn, Em, Rasmussen, Hb, Réthelyi, Jm, Ribble, R, Rietschel, M, Riley, Bp, Ruggeri, Mirella, Schall, U, Schulze, Tg, Schwab, Sg, Scott, Rj, Shi, J, Sigurdsson, E, Silverman, Jm, Spencer, Cc, Stefansson, K, Strange, A, Strengman, E, Stroup, T, Suvisaari, J, Terenius, L, Thirumalai, S, Thygesen, Jh, Timm, S, Toncheva, D, Van, Den, Oord, E, Van, Os, Van, J, Winkel, R, Veldink, J, Walsh, D, Wang, Ag, Wiersma, D, Wildenauer, Db, Williams, Hj, Williams, Nm, Wormley, B, Zammit, S, Sullivan, Pf, O'Donovan, Mc, Daly, Mj, Gejman, P., Functional Genomics, Complex Trait Genetics, De Hert, Marc, Myin-Germeys, Inez, van Winkel, Ruud, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, Amsterdam Neuroscience, and Adult Psychiatry
Subjects: epistasis, Male, Multifactorial Inheritance, polygenic, Neuropsychological Tests, involvement, 0302 clinical medicine, Neural Pathways, 2.1 Biological and endogenous factors, Psychology, schizophrenia risk, psychosis variant, Aetiology, 0303 health sciences, susceptibility gene znf804a, medicine.diagnostic_test, phenotypes, Zinc Fingers, Neuropsychological test, Single Nucleotide, Middle Aged, Serious Mental Illness, Psychiatry and Mental health, Memory, Short-Term, Mental Health, Schizophrenia, Major depressive disorder, Female, Cognitive Sciences, social and economic factors, Adult, medicine.medical_specialty, Psychosis, working memory, schizophrenia, IQ, Schizoaffective disorder, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Gene interaction, Genetic, Social cognition, Memory, Clinical Research, 2.3 Psychological, Behavioral and Social Science, medicine, Genetics, Humans, Genetic Predisposition to Disease, Bipolar disorder, Polymorphism, Psychiatry, 030304 developmental biology, Other Medical and Health Sciences, Prevention, Wellcome Trust Case Control Consortium 2, Neurosciences, Genetic Variation, Epistasis, Genetic, Schizophrenia Psychiatric Genome-wide Association Study (GWAS) Consortium, medicine.disease, attention, Brain Disorders, deficits, Short-Term, Psychotic Disorders, genome-wide association, Epistasis, healthy controls, identification, Cognition Disorders, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: IMPORTANCE We investigated the variation in neuropsychological function explained by risk alleles at the psychosis susceptibility gene ZNF804A and its interacting partners using single nucleotide polymorphisms (SNPs), polygenic scores, and epistatic analyses. Of particular importance was the relative contribution of the polygenic score vs epistasis in variation explained. OBJECTIVES To (1) assess the association between SNPs in ZNF804A and the ZNF804A polygenic score with measures of cognition in cases with psychosis and (2) assess whether epistasis within the ZNF804A pathway could explain additional variation above and beyond that explained by the polygenic score. DESIGN, SETTING, AND PARTICIPANTS Patients with psychosis (n = 424)were assessed in areas of cognitive ability impaired in schizophrenia including IQ, memory, attention, and social cognition.We used the Psychiatric GWAS Consortium 1 schizophrenia genome-wide association study to calculate a polygenic score based on identified risk variants within this genetic pathway. Cognitive measures significantly associated with the polygenic score were tested for an epistatic component using a training set (n = 170), which was used to develop linear regression models containing the polygenic score and 2-SNP interactions. The best-fitting models were tested for replication in 2 independent test sets of cases: (1) 170 individuals with schizophrenia or schizoaffective disorder and (2) 84 patients with broad psychosis (including bipolar disorder, major depressive disorder, and other psychosis). MAIN OUTCOMES AND MEASURES Participants completed a neuropsychological assessment battery designed to target the cognitive deficits of schizophrenia including general cognitive function, episodic memory, working memory, attentional control, and social cognition. RESULTS Higher polygenic scores were associated with poorer performance among patients on IQ, memory, and social cognition, explaining 1%to 3%of variation on these scores (range, P = .01 to .03). Using a narrow psychosis training set and independent test sets of narrow phenotype psychosis (schizophrenia and schizoaffective disorder), broad psychosis, and control participants (n = 89), the addition of 2 interaction terms containing 2 SNPs each increased the R2 for spatial working memory strategy in the independent psychosis test sets from 1.2%using the polygenic score only to 4.8%(P = .11 and .001, respectively) but did not explain additional variation in control participants. CONCLUSIONS AND RELEVANCE These data support a role for the ZNF804A pathway in IQ, memory, and social cognition in cases. Furthermore, we showed that epistasis increases the variation explained above the contribution of the polygenic score. © 2014 American Medical Association. All rights reserved.
Published: 2014

41. Schizophrenia genetic variants are not associated with intelligence

Author: van Scheltinga, Af, Bakker, Sc, van Haren, Ne, Derks, Em, Buizer Voskamp, Je, Cahn, W, Ripke, S, Sanders, A, Kendler, K, Levinson, D, Sklar, P, Holmans, P, Lin, D., Duan, J, Ophoff, R, Andreassen, O, Scolnick, E, Cichon, S, St Clair, D, Corvin, A, Gurling, H, Werge, T, Rujescu, D, Blackwood, D, Pato, C, Malhotra, A, Purcell, S, Dudbridge, F, Neale, B, Rossin, L, Visscher, P, Posthuma, D, Ruderfer, D, Fanous, A, Stefansson, H, Steinberg, S, Mowry, B, Golimbet, V, Hert, De, M, Jonsson, E, Bitter, I, Pietilainen, O, Collier, D, Tosato, Sarah, Agartz, I, Albus, M, Alexander, M, Amdur, R, Amin, F, Bass, N, Bergen, S, Black, D, Børglum, A, Brown, M, Bruggeman, R, Buccola, N, Byerley, W, Cantor, R, Carr, V, Catts, S, Choudhury, K, Cloninger, C, Cormican, P, Craddock, N, Danoy, P, Datta, S, Haan, De, L, Demontis, D, Dikeos, D, Djurovic, S, Donnelly, P, Donohoe, G, Duong, L, Dwyer, S, Fink Jensen, A, Freedman, R, Freimer, N, Friedl, M, Georgieva, L, Giegling, I, Gill, M, Glenthøj, B, Godard, S, Hamshere, M, Hansen, M, Hansen, T, Hartmann, A, Henskens, F, Hougaard, D, Hultman, C, Ingason, A, Jablensky, A, Jakobsen, K, Jay, M, Jurgens, G, Kahn, R, Keller, M, Kenis, G, Kenny, E, Kim, Y, Kirov, G, Konnerth, H, Konte, B, Krabbendam, L, Krasucki, R, Lasseter, V, Laurent, C, Lawrence, J, Lencz, T, Lerer, F, Liang, K, Lichtenstein, P, Lieberman, J, Linszen, D, Lonnqvist, J, Loughland, C, Maclean, A, Maher, B, Maier, W, Mallet, J, Malloy, P, Mattheisen, M, Mattingsdal, M, Mcghee, K, Mcgrath, J, Mcintosh, A, Mclean, D, Mcquillin, A, Melle, I, Michie, P, Milanova, V, Morris, D, Mors, O, Mortensen, P, Moskvina, V, Muglia, P, Myin Germeys, I, Nertney, D, Nestadt, G, Nielsen, J, Nikolov, I, Nordentoft, M, Norton, N, Nothen, M, O'Dushlaine, C, Olincy, A, Olsen, L, O'Neill, F, Ørntoft, T, Owen, M, Pantelis, C, Papadimitriou, G, Pato, M, Peltonen, L, Petursson, H, Pickard, B, Pimm, J, Pulver, A, Puri, V, Quested, D, Quinn, E, Rasmussen, H, Rethelyi, Jm, Ribble, R, Rietschel, M, Riley, B, Ruggeri, Mirella, Schall, U, Schulze, T, Schwab, S, Scott, R, Shi, J, Sigurdsson, E, Silverman, J, Spencer, C, Stefansson, K, Strange, A, Strengman, E, Stroup, T, Suvisaari, J, Terenius, L, Thirumalai, S, Thygesen, J, Timm, S, Toncheva, D, van den Oord, E, van Os, J, van Winkel, R, Veldink, J, Walsh, D, Wang, A, Wiersma, D, Wildenauer, D, Williams, H, Williams, N, Wormley, B, Zammit, S, Sullivan, P, O'Donovan, M, Daly, M, Gejman, P), Ophoff, Ra, Kahn, Rs, Functional Genomics, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Psychiatrie & Neuropsychologie, RS: MHeNs School for Mental Health and Neuroscience, ANS - Amsterdam Neuroscience, APH - Amsterdam Public Health, and Adult Psychiatry
Subjects: Oncology, Adult, Male, Psychosis, medicine.medical_specialty, Multifactorial Inheritance, DNA Copy Number Variations, Endophenotypes, Schizophrenia (object-oriented programming), Intelligence, SNP, Single-nucleotide polymorphism, Genome-wide association study, polygenic, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Article, Cognition, Internal medicine, mental disorders, medicine, Humans, Genetic Predisposition to Disease, deletion, Cognitive decline, Applied Psychology, Genetic association, Genetics, Wechsler Scales, Wechsler Adult Intelligence Scale, medicine.disease, endophenotype, Psychiatry and Mental health, duplication, IQ, Endophenotype, Schizophrenia, Female, Psychology, cognition, schizophrenia, Genome-Wide Association Study
Abstract: BackgroundSchizophrenia is associated with lower pre-morbid intelligence (IQ) in addition to (pre-morbid) cognitive decline. Both schizophrenia and IQ are highly heritable traits. Therefore, we hypothesized that genetic variants associated with schizophrenia, including copy number variants (CNVs) and a polygenic schizophrenia (risk) score (PSS), may influence intelligence.MethodIQ was estimated with the Wechsler Adult Intelligence Scale (WAIS). CNVs were determined from single nucleotide polymorphism (SNP) data using the QuantiSNP and PennCNV algorithms. For the PSS, odds ratios for genome-wide SNP data were calculated in a sample collected by the Psychiatric Genome-Wide Association Study (GWAS) Consortium (8690 schizophrenia patients and 11 831 controls). These were used to calculate individual PSSs in our independent sample of 350 schizophrenia patients and 322 healthy controls.ResultsAlthough significantly more genes were disrupted by deletions in schizophrenia patients compared to controls (p = 0.009), there was no effect of CNV measures on IQ. The PSS was associated with disease status (R2 = 0.055, p = 2.1 × 10−7) and with IQ in the entire sample (R2 = 0.018, p = 0.0008) but the effect on IQ disappeared after correction for disease status.ConclusionsOur data suggest that rare and common schizophrenia-associated variants do not explain the variation in IQ in healthy subjects or in schizophrenia patients. Thus, reductions in IQ in schizophrenia patients may be secondary to other processes related to schizophrenia risk.
Published: 2013

42. Genome-wide association study identifies five new schizophrenia loci

Author: Ripke, S., Sanders, A. R., Kendler, K. S., Levinson, D. F., Sklar, P., Holmans, P. A., Lin, D., Duan, J., Ophoff, R. A., Andreassen, O. A., Scolnick, E., Cichon, S., Clair, D. S., Corvin, A., Gurling, H., Werge, T., Rujescu, D., D. H. R., Pato, C. N., Malhotra, A. K., Purcell, S., Dudbridge, F., Neale, B. M., Rossin, L., Visscher, P. M., Posthuma, D., Ruderfer, D. M., Fanous, A., Stefansson, H., Steinberg, S., Mowry, B. J., Golimbet, V., Hert, M. D., Jönsson, E. G., Bitter, I., O. P. H., Collier, D. A., Tosato, Sarah, Agartz, I., Albus, M., Alexander, M., Amdur, R. L., Amin, F., Bass, N., Bergen, S. E., Black, D. W., Børglum, A. D., Brown, M. A., Bruggeman, R., Buccola, N. G., Byerley, W. F., Cahn, W., Cantor, R. M., Carr, V. J., Catts, S. V., Choudhury, K., Cloninger, C. R., Cormican, P., Craddock, N., Danoy, P. A., Datta, S., Haan, L. d., Demontis, D., Dikeos, D., Djurovic, S., Donnelly, P., Donohoe, G., Duong, L., Dwyer, S., Fink Jensen, A., Freedman, R., Freimer, N. B., Friedl, M., Georgieva, L., Giegling, I., Gill, M., Glenthøj, B., Godard, S., Hamshere, M., Hansen, M., Hansen, T., Hartmann, A. M., Henskens, F. A., Hougaard, D. M., Hultman, C. M., Ingason, A., Jablensky, A. V., Jakobsen, K. D., Jay, M., Jürgens, G., Kahn, R. S., Keller, M. C., Kenis, G., Kenny, E., Kim, Y., Kirov, G. K., Konnerth, H., Konte, B., Krabbendam, L., Krasucki, R., Lasseter, V. K., Laurent, C., Lawrence, J., Lencz, T., Lerer, F. B., Liang, K., Lichtenstein, P., Lieberman, J. A., Linszen, D. H., Lönnqvist, J., Loughland, C. M., Maclean, A. W., Maher, B. S., Maier, W., Mallet, J., Malloy, P., Mattheisen, M., Mattingsdal, M., Mcghee, K. A., Mcgrath, J. J., Mcintosh, A., Mclean, D. E., Mcquillin, A., Melle, I., Michie, P. T., Milanova, V., Morris, D. W., Mors, O., Mortensen, P. B., Moskvina, V., Muglia, P., Myin Germeys, I., Nertney, D. A., Nestadt, G., Nielsen, J., Nikolov, I., Nordentoft, M., Norton, N., Nöthen, M. M., O'Dushlaine, C. T., Olincy, A., Olsen, L., O'Neill, F. A., Orntoft, T. F., Owen, M. J., Pantelis, C., Papadimitriou, G., Pato, M. T., Peltonen, L., Petursson, H., Pickard, B., Pimm, J., Pulver, A. E., Puri, V., Quested, D., Quinn, E. M., Rasmussen, H. B., Réthelyi, J. M., Ribble, R., Rietschel, M., Riley, B. P., Ruggeri, Mirella, Schall, U., Schulze, T. G., Schwab, S. G., Scott, R. J., Shi, J., Sigurdsson, E., Silverman, J. M., C. C. A., Stefansson, K., Strange, A., Strengman, E., Stroup, T. S., Suvisaari, J., Terenius, L., Thirumalai, S., Thygesen, J. H., Timm, S., Toncheva, D., Den, E. v., J. v., Os, Winkel, R. v., Veldink, J., Walsh, D., Wang, A. G., Wiersma, D., Wildenauer, D. B., Williams, H. J., Williams, N. M., Wormley, B., Zammit, S., Sullivan, P. F., O'Donovan, M. C., Daly, M. J., Gejman, P. V., Genome Wide, S. P., ANS - Amsterdam Neuroscience, Adult Psychiatry, Functional Genomics, Educational Neuroscience, Clinical Child and Family Studies, Neuroscience Campus Amsterdam - integrative Analysis & Modeling, Neuroscience Campus Amsterdam - Attention & Cognition, LEARN! - Brain, learning and development, Psychiatrie & Neuropsychologie, and RS: MHeNs School for Mental Health and Neuroscience
Subjects: Male, Gene Dosage, Biology, VARIANTS, SUSCEPTIBILITY, ANCESTRY, Polymorphism, Single Nucleotide, Article, Linkage Disequilibrium, White People, 03 medical and health sciences, 0302 clinical medicine, microRNA, Genetics, Humans, Genetic Predisposition to Disease, Alleles, 030304 developmental biology, 0303 health sciences, Genome, Genome, Human, HERITABILITY, MICRORNA, BIPOLAR DISORDER, 3. Good health, schizophrenia, COMMON SNPS EXPLAIN, MicroRNAs, INDIVIDUALS, Logistic Models, Gene Expression Regulation, Haplotypes, LARGE PROPORTION, Genetic Loci, Case-Control Studies, Mutation, Female, HUMAN HEIGHT, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded genome-wide significant associations with schizophrenia for seven loci, five of which are new (1p21.3, 2q32.3, 8p23.2, 8q21.3 and 10q24.32-q24.33) and two of which have been previously implicated (6p21.32-p22.1 and 18q21.2). The strongest new finding (P = 1.6 × 10 -11) was with rs1625579 within an intron of a putative primary transcript for MIR137 (microRNA 137), a known regulator of neuronal development. Four other schizophrenia loci achieving genome-wide significance contain predicted targets of MIR137, suggesting MIR137-mediated dysregulation as a previously unknown etiologic mechanism in schizophrenia. In a joint analysis with a bipolar disorder sample (16,374 affected individuals and 14,044 controls), three loci reached genome-wide significance: CACNA1C (rs4765905, P = 7.0 × 10 -9), ANK3 (rs10994359, P = 2.5 × 10 -8) and the ITIH3-ITIH4 region (rs2239547, P = 7.8 × 10 -9). © 2011 Nature America, Inc. All rights reserved.
Published: 2011

43. Common variant at 16p11.2 conferring risk of psychosis

Author: Steinberg, S., de Jong, S., Sigurdsson, E., Murray, R., Corvin, A., Gill, M., Morris, D., O'Neill, F. A., Kendler, K., Riley, B., 2, Wellcome Trust Case Control Consortium, Craddock, N., Owen, M. J., Vassos, E., O'Donovan, M. C., Thorsteinsdottir, U., Kong, A., Ehrenreich, H., Carracedo, A., Golimbet, V., Andreassen, O. A., Børglum, A. D., Mors, O., Mortensen, P. B., Giegling, I., Werge, T., Ophoff, R. A., Nöthen, M. M., Rietschel, M., Cichon, S., Ruggeri, M., Tosato, S., Palotie, A., St Clair, D., Rujescu, D., Breuer, R., Collier, D. A., Stefansson, H., Stefansson, K., Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Bramon, Elvira, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Fraser, G., Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Walker, N., Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard, Melle, I., Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Djurovic, S., Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Agartz, I., Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, Whittaker, Pamela, Tuulio-Henriksson, A., Mattheisen, M., Suvisaari, J., Lönnqvist, J., Paunio, T., Olsen, L., Hansen, T., Ingason, A., Pirinen, M., Strengman, E., GROUP, Hougaard, D. M., Costas, J., Orntoft, T., Didriksen, M., Hollegaard, M. V., Nordentoft, M., Abramova, L., Kaleda, V., Arrojo, M., Sanjuán, J., Arango, C., Etain, B., Demontis, D., Bellivier, F., Méary, A., Schürhoff, F., Szoke, A., Ribolsi, M., Magni, V., Siracusano, A., Sperling, S., Rossner, M., Christiansen, C., Jamain, S., Kiemeney, L. A., Franke, B., van den Berg, L. H., Veldink, J., Curran, S., Bolton, P., Poot, M., Staal, W., Rehnstrom, K., Kilpinen, H., Pietiläinen, O. P. H., Freitag, C. M., Meyer, J., Magnusson, P., Saemundsen, E., Martsenkovsky, I., Bikshaieva, I., Martsenkovska, I., Vashchenko, O., Raleva, M., Paketchieva, K., Lin, K., Stefanovski, B., Durmishi, N., Pejovic Milovancevic, M., Lecic Tosevski, D., Silagadze, T., Naneishvili, N., Mikeladze, N., Surguladze, S., Vincent, J. B., Farmer, A., Papiol, S., Mitchell, P. B., Wright, A., Schofield, P. R., Fullerton, J. M., Montgomery, G. W., Martin, N. G., Rubino, I. A., van Winkel, R., Kenis, G., De Hert, M., Huttenlocher, J., Réthelyi, J. M., Bitter, I., Terenius, L., Jönsson, E. G., Bakker, S., van Os, J., Jablensky, A., Leboyer, M., Bramon, E., Powell, J., deCODE Genet, IS-101 Reykjavik, Iceland Univ Calif Los Angeles, Ctr Neurobehav Genet, Los Angeles, CA USA Harvard Univ, Brigham & Womens Hosp, Sch Med, Channing Div Network Med, Boston, MA 02115 USA Univ Bonn, Inst Genom Math, Bonn, Germany Univ Bonn, Dept Genom, Life & Brain Ctr, Bonn, Germany CHUS, Galician Fdn Genom Med SERGAS, Santiago De Compostela, Spain Aarhus Univ, Dept Biomed, Aarhus, Denmark Aarhus Univ, iSEQ, Ctr Integrat Sequencing, Aarhus, Denmark Lundbeck Fdn Initiat Integrat Psychiat Res, iPSYCH, Aarhus, Denmark Fdn FondaMental, Creteil, France Hop Henri Mondor, INSERM, U955, F-94010 Creteil, France Univ Helsinki, Inst Mol Med Finland FIMM, Helsinki, Finland Inst Hlth & Welf, Publ Hlth Genom Unit, Helsinki, Finland Wellcome Trust Sanger Inst, Cambridge, England South London & Maudsley NHS Fdn Trust, NIHR Biomed Res Ctr Mental Hlth, Dept Neurosci, London, England Kings Coll London, London, England DFG Res Ctr Mol Physiol Brain CMPB, Gottingen, Germany Max Planck Inst Expt Med, Div Clin Neurosci, D-37075 Gottingen, Germany Univ Tubingen, Inst Human Genet, Dept Med Genet, Tubingen, Germany Natl Univ Hosp Reykjavik, Dept Psychiat, Reykjavik, Iceland Univ Iceland, Sch Med, Reykjavik, Iceland Kings Coll London, Inst Psychiat, Social Genet & Dev Psychiat Res Ctr, London, England Univ Munich, Dept Psychiat, Div Mol & Clin Neurobiol, D-80539 Munich, Germany Heidelberg Univ, Cent Inst Mental Hlth, Dept Genet Epidemiol Psychiat, Mannheim, Germany Univ Aberdeen, Dept Mental Hlth, Royal Cornhill Hosp, Aberdeen, Scotland Ravenscraig Hosp, Greenock, Scotland [Univ Oslo, Inst Clin Med, KG Jebsen Ctr Psychosis Res, Div Mental Hlth & Addict,Oslo Univ Hosp, Oslo, Norway Natl Inst Hlth & Welf, Dept Mental Hlth & Subst Abuse Serv, Helsinki, Finland Univ Helsinki, Dept Psychiat, SF-00180 Helsinki, Finland Univ Helsinki, Cent Hosp, Helsinki, Finland Natl Inst Hlth & Welf THL, Publ Hlth Genom Unit, Helsinki, Finland Univ Copenhagen, Mental Hlth Ctr Sct Hans, Inst Biol Psychiat, Roskilde, Denmark Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England Univ Med Ctr Utrecht, Dept Med Genet, Utrecht, Netherlands Statens Serum Inst, Dept Clin Biochem Immunol & Genet, Sect Neonatal Screening & Hormones, DK-2300 Copenhagen, Denmark Aarhus Univ Hosp, Dept Mol Med, DK-8000 Aarhus, Denmark H Lundbeck & Co AS, Synapt Transmiss, Copenhagen, Denmark Copenhagen Univ Hosp, Psychiat Ctr Copenhagen, Copenhagen, Denmark Russian Acad Med Sci, Mental Hlth Res Ctr, Moscow 109801, Russia CHUS, Serv Psychiat, Santiago De Compostela, Spain Univ Valencia, Network Ctr Biomed Res Mental Hlth CIBERSAM, Unit Psychiat, Fac Med, Valencia, Spain Univ Complutense, Hosp Gen Univ Gregorio Maranon, IiSGM, CIBERSAM, E-28040 Madrid, Spain Hop H Mondor A Chenevier, AP HP, Creteil, France Univ Paris Est, Fac Med, Creteil, France Univ Roma Tor Vergata, Dept Neurosci, Sect Psychiat, Rome, Italy Max Planck Inst Expt Med, Dept Neurogenet, D-37075 Gottingen, Germany Nord Biosci, Herlev, Denmark Radboud Univ Nijmegen, Med Ctr, Dept Epidemiol & Biostat, NL-6525 ED Nijmegen, Netherlands Radboud Univ Nijmegen, Med Ctr, Dept Urol, NL-6525 ED Nijmegen, Netherlands Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, NL-6525 ED Nijmegen, Netherlands Radboud Univ Nijmegen, Med Ctr, Dept Psychiat, Donders Inst Brain Cognit & Behav, NL-6525 ED Nijmegen, Netherlands Univ Med Ctr, Rudolf Magnus Inst Neurosci, Dept Neurol, Utrecht, Netherlands Kings Coll London, Inst Psychiat, Dept Child & Adolescent Psychiat, London, England Radboud Univ Nijmegen, Dept Cognit Neurosci, NL-6525 ED Nijmegen, Netherlands Goethe Univ Frankfurt, Dept Child & Adolescent Psychiat Psychosomat & Ps, D-60054 Frankfurt, Germany Univ Trier, Dept Neurobehav Genet, Trier, Germany Natl Univ Hosp Reykjavik, Dept Child & Adolescent Psychiat, Reykjavik, Iceland State Diagnost & Counseling Ctr, Kopavogur, Iceland Ukrainian Res Inst Social Forens Psychiat & Drug, Dept Child Adolescent Psychiat & Med Social Rehab, Kiev, Ukraine Univ Skopje, Dept Child & Adolescent Psychiat, Skopje, Macedonia Inst Mental Hlth, Belgrade, Serbia Univ Belgrade, Fac Med, Belgrade, Serbia Tbilisi State Med Univ TSMU, Dept Psychiat & Drug Addict, Tbilisi, Rep of Georgia Ilia State Univ, Social & Affect Neurosci Lab, Tbilisi, Rep of Georgia Ctr Addict & Mental Hlth CAMH, Mol Neuropsychiat & Dev Lab, Toronto, ON, Canada Prince Wales Hosp, Black Dog Inst, Randwick, NSW 2031, Australia Univ New S Wales, Sch Psychiat, Sydney, NSW, Australia Neurosci Res Australia, Sydney, NSW, Australia Univ New S Wales, Sch Med Sci, Sydney, NSW, Australia Queensland Inst Med Res, Brisbane, Qld 4006, Australia Catholic Univ Louvain, Univ Psychiat Ctr, Kortenberg, Belgium Maastricht Univ, European Grad Sch Neurosci EURON,Med Ctr, Sch Mental Hlth & Neurosci,Dept Psychiat & Psycho, South Limburg Mental Hlth Res & Teaching Network, Maastricht, Netherlands Semmelweis Univ, Dept Psychiat & Psychotherapy, H-1085 Budapest, Hungary Karolinska Hosp & Inst, HUBIN Project, Dept Clin Neurosci, Stockholm, Sweden Univ Med Ctr, Rudolf Magnus Inst Neurosci, Dept Psychiat, Utrecht, Netherlands Maastricht Univ, Dept Psychiat, Med Ctr, Maastricht, Netherlands Univ Western Australia, Graylands Hosp, CCRN, Perth, WA 6009, Australia UCL, Mental Hlth Sci Unit, London, England UCL, Inst Cognit Neurosci, London, England South London & Maudsley NHS Fdn Trust, NIHR Biomed Res Ctr Mental Hlth, Dept Psychosis Studies, London, England Trinity Coll Dublin, Sch Med, Neuropsychiat Genet Res Grp, Dublin, Ireland Queens Univ Belfast, Dept Psychiat, Belfast, Antrim, North Ireland Virginia Commonwealth Univ, Dept Human Genet, Richmond, VA USA Virginia Commonwealth Univ, Virginia Inst Psychiat & Behav Genet, Richmond, VA USA Virginia Commonwealth Univ, Dept Psychiat, Richmond, VA USA Cardiff Univ, Sch Med, Inst Psychol Med & Clin Neurosci, MRC Ctr Neuropsychiat Genet & Genom, Cardiff CF10 3AX, S Glam, Wales Univ Santiago de Compostela, Biomed Network Res Ctr Rare Dis CIBERER, Galician Fdn Genom Med, Genom Med Grp, Santiago De Compostela, Spain Aarhus Univ Hosp, Ctr Psychiat Res, Risskov, Denmark Aarhus Univ, Natl Ctr Register Based Res, Aarhus, Denmark German Ctr Neurodegenerat Disorders DZNE, Bonn, Germany Univ Bonn, Inst Human Genet, Bonn, Germany Inst Neurosci & Med INM 1, Julich, Germany Univ Verona, Sect Psychiat, I-37100 Verona, Italy Broad Inst MIT & Harvard, Program Med & Populat Genet & Genet Anal Platform, Cambridge, MA USA Univ Helsinki, Dept Med Genet, Helsinki, Finland Univ Cent Hosp, Helsinki, Finland Univ Halle Wittenberg, Dept Psychiat, D-06108 Halle, Germany Eli Lilly & Co Ltd, Erl Wood Manor, Windlesham, Surrey, England, Psychiatrie & Neuropsychologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), and RS: MHeNs - R2 - Mental Health
Subjects: Oncology, Male, association, Bipolar disorder, cross-disorder, schizophrenia, 1p11.2, Bipolar Disorder, International Cooperation, Genome-wide association study, Disease, 0302 clinical medicine, Risk Factors, Epidemiology, Odds Ratio, Medicine, genetics [Schizophrenia], Oligonucleotide Array Sequence Analysis, Genetics, Aged, 80 and over, bipolar disorder, 0303 health sciences, Middle Aged, 16p11.2, 3. Good health, Europe, Psychiatry and Mental health, genetics [Chromosomes, Human, Pair 16], epidemiology [Bipolar Disorder], Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], genetics [Polymorphism, Single Nucleotide], Female, Adult, medicine.medical_specialty, Psychosis, Genotype, complications [Bipolar Disorder], epidemiology [Schizophrenia], Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Young Adult, complications [Schizophrenia], Internal medicine, mental disorders, Humans, Genetic Predisposition to Disease, ddc:610, Molecular Biology, Settore MED/25 - Psichiatria, 030304 developmental biology, Aged, Chromosome Aberrations, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, Gene Expression Profiling, Odds ratio, medicine.disease, Schizophrenia, Autism, business, Body mass index, genetics [Bipolar Disorder], 030217 neurology & neurosurgery, Chromosomes, Human, Pair 16, Genome-Wide Association Study
Abstract: To access publisher's full text version of this article. Please click on the hyperlink in Additional Links field. Epidemiological and genetic data support the notion that schizophrenia and bipolar disorder share genetic risk factors. In our previous genome-wide association study, meta-analysis and follow-up (totaling as many as 18 206 cases and 42 536 controls), we identified four loci showing genome-wide significant association with schizophrenia. Here we consider a mixed schizophrenia and bipolar disorder (psychosis) phenotype (addition of 7469 bipolar disorder cases, 1535 schizophrenia cases, 333 other psychosis cases, 808 unaffected family members and 46 160 controls). Combined analysis reveals a novel variant at 16p11.2 showing genome-wide significant association (rs4583255[T]; odds ratio=1.08; P=6.6 × 10(-11)). The new variant is located within a 593-kb region that substantially increases risk of psychosis when duplicated. In line with the association of the duplication with reduced body mass index (BMI), rs4583255[T] is also associated with lower BMI (P=0.0039 in the public GIANT consortium data set; P=0.00047 in 22 651 additional Icelanders). National Institute of Mental Health N01 MH900001 MH074027 1U24MH081810 R01 MH078075 Eli Lilly and Company Pritzker Neuropsychiatric Disorders Research Fund L.L.C. Massachusetts General Hospital in Boston, MA (NIMH) 2N01MH080001-001 Wellcome Trust 076113 085475 075491/Z/04 085475/B/08/Z 085475/Z/08/Z Medical Research Council G0601030 Anthony P Monaco, PI, University of Oxford National Genome Research Network of the German Federal Ministry of Education and Research (BMBF) 01GS08144 01GS08147 Centre of Excellence for Complex Disease Genetics of the Academy of Finland 213506 129680 Biocentrum Helsinki Foundation Research Program for Molecular Medicine, Faculty of Medicine, University of Helsinki Stanley Medical Research Institute Danish Council for Strategic Research 2101-07-0059 H Lundbeck A/S; the Research Council of Norway 163070/V50 Danish Medical Research Council South-East Norway Health Authority 2004-123 Medical Research Council Ministerio de Sanidad y Consumo, Spain PI081522 Xunta de Galicia 08CSA005208PR Swedish Research Council Wellcome Trust Case Control Consortium 2 Max Planck Society; Saarland University T6 03 10 00-45 Netherlands Foundation for Brain Research (Hersenstichting) 2008(1).34 2006-037761 PIAP-GA-2008-218251 HEALTH-F2-2009-223423 HEALTH-F4-2009-242257 info:eu-repo/grantAgreement/EC/FP7/218251
Published: 2014

44. Convergent lines of evidence support CAMKK2 as a schizophrenia susceptibility gene

Author: Luo, XJ, Li, M, Huang, L, Steinberg, S, Mattheisen, M, Liang, G, Donohoe, G, Shi, Y, Chen, C, Yue, W, Alkelai, A, Lerer, B, Li, Z, Yi, Q, Rietschel, M, Cichon, S, Collier, DA, Tosato, S, Suvisaari, J, Rujescu, D, Golimbet, V, Silagadze, T, Durmishi, N, Milovancevic, MP, Stefansson, H, Schulze, TG, Nöthen, MM, Lyne, R, Morris, DW, Gill, M, Corvin, A, Zhang, D, Dong, Q, Moyzis, RK, Stefansson, K, Sigurdsson, E, Hu, F, SCZ Consortium36, Su, B, Gan, L, and College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China [2] Department of Ophthalmology and Flaum Eye Institute, University of Rochester, Rochester, NY, USA. 2Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA. 31] Nanchang University, Nanchang, China [2] Gannan Medical University, Ganzhou, China [3] Jiangxi Provincial People's Hospital, Nanchang, China. 4deCODE Genetics, Reykjavik, Iceland. 5Department of Biomedicine, Aarhus University, Aarhus C, Denmark. 6College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China. 7Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland. 8Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China. 9Department of Psychology and Social Behavior, University of California, Irvine, CA, USA. 101] Institute of Mental Health, Peking University, Beijing, China [2] Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China. 11Department of Psychiatry, Biological Psychiatry Laboratory, Hadassah-Hebrew University Medical Center, Jerusalem, Israel. 12Department of Psychiatry, the First Teaching Hospital of Xinjiang Medical University, Urumqi, China. 13Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Mannheim, Mannheim, Germany. 14Department of Genomics, Life and Brain Center, and Institute of Human Genetics, University of Bonn, Bonn, Germany. 151] Social, Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College, London, UK [2] Eli Lilly and Co. Ltd, Erl Wood Manor, Surrey, UK. 16Section of Psychiatry, University of Verona, Verona, Italy. 17Mental Health and Substance Abuse Services, National Institute for Health and Welfare THL, Helsinki, Finland. 181] Division of Molecular and Clinical Neurobiology, Department of Psychiatry, Ludwig-Maximilians University, Munich, Germany [2] Department of Psychiatry, University of Halle-Wittenberg, Halle, Germany. 19Mental Health Research Center, Russian Academy of Medical Sciences, Moscow, Russia. 20Department of Psychiatry and Drug Addiction, Tbilisi State Medical University (TSMU), Tbilisi, Georgia. 21Department of Child and Adolescent Psychiatry, University of Skopje, Skopje, Macedonia. 22Medical Faculty, University of Belgrade, Belgrade, Serbia. 23Department of Psychiatry and Psychotherapy, University Medical Center Georg-August-Universität, Goettingen, Germany. 24State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. 25Department of Biological Chemistry, University of California, Irvine, CA, USA. 261] deCODE Genetics, Reykjavik, Iceland [2] School of Medicine, University of Iceland, Reykjavik, Iceland. 271] School of Medicine, University of Iceland, Reykjavik, Iceland [2] Department of Psychiatry, National University Hospital, Reykjavik, Iceland. 28Affiliated Eye Hospital of Nanchang University, Nanchang, China. 29State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Subjects: Pathogenesis, protein-protein interaction, 0302 clinical medicine, Cognition, Gene expression, Genamengi, Databases, Genetic, Protein Interaction Maps, European Continental Ancestry Group/genetics, Psychotic Disorders/genetics, CAMKK2, Schizophrenic Psychology, Genetics, 0303 health sciences, Brain, Chromosome Mapping, Polymorphism, Single Nucleotide/genetics, Psychiatry and Mental health, Geðsjúkdómar, Personality, Genotype, Schizophrenia (object-oriented programming), Down-Regulation, Calcium-Calmodulin-Dependent Protein Kinase Kinase, Single-nucleotide polymorphism, Calcium-Calmodulin-Dependent Protein Kinase, Biology, eQTL, Polymorphism, Single Nucleotide, White People, 03 medical and health sciences, Cellular and Molecular Neuroscience, Asian People, Geðklofi, Personality/genetics, Kinase/metabolism, expression, SNP, Brain/metabolism, Humans, Genetic Predisposition to Disease, Asian Continental Ancestry Group/genetics, Allele, Molecular Biology, Gene, association, schizophrenia, Alleles, 030304 developmental biology, Arfgengi, Kinase/genetics, Schizophrenia/genetics, Case-Control Studies, Protein Interaction Maps/genetics, 030217 neurology & neurosurgery, Chromosomes, Human, Pair 17, Genome-Wide Association Study
Abstract: To access publisher's full text version of this article click on the hyperlink at the bottom of the page Genes that are differentially expressed between schizophrenia patients and healthy controls may have key roles in the pathogenesis of schizophrenia. We analyzed two large-scale genome-wide expression studies, which examined changes in gene expression in schizophrenia patients and their matched controls. We found calcium/calmodulin (CAM)-dependent protein kinase kinase 2 (CAMKK2) is significantly downregulated in individuals with schizophrenia in both studies. To seek the potential genetic variants that may regulate the expression of CAMKK2, we investigated the association between single-nucleotide polymorphisms (SNPs) within CAMKK2 and the expression level of CAMKK2. We found one SNP, rs1063843, which is located in intron 17 of CAMKK2, is strongly associated with the expression level of CAMKK2 in human brains (P=1.1 × 10(-6)) and lymphoblastoid cell lines (the lowest P=8.4 × 10(-6)). We further investigated the association between rs1063843 and schizophrenia in multiple independent populations (a total of 130 623 subjects) and found rs1063843 is significantly associated with schizophrenia (P=5.17 × 10(-5)). Interestingly, we found the T allele of rs1063843, which is associated with lower expression level of CAMKK2, has a higher frequency in individuals with schizophrenia in all of the tested samples, suggesting rs1063843 may be a causal variant. We also found that rs1063843 is associated with cognitive function and personality in humans. In addition, protein-protein interaction (PPI) analysis revealed that CAMKK2 participates in a highly interconnected PPI network formed by top schizophrenia genes, which further supports the potential role of CAMKK2 in the pathogenesis of schizophrenia. Taken together, these converging lines of evidence strongly suggest that CAMKK2 may have pivotal roles in schizophrenia susceptibility. National Natural Science Foundation of China/81271006/ 81060081 Hangzhou City Health Science Foundation/20120633B01 Jiangxi Provincial Natural Science Foundation/2010GZY0089/20114BAB215006 Natural Science Foundation of China/U1202225/81130022/ 81272302/31000553 863 Program 2012AA02A515 EU/HEALTH-2011-286213 HEALTH-F2-2009-223423 111 Project of the Ministry of Education of China/B07008 Israel Science Foundation info:eu-repo/grantAgreement/EC/FP7/286213
Published: 2014

45. All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs

Author: Aj, Schork, Wk, Thompson, Pham P, Torkamani A, Jc, Roddey, Pf, Sullivan, Jr, Kelsoe, Donovan Mc, O., Furberg H, Tobacco and Genetics Consortium, Bipolar Disorder Psychiatric Genomics Consortium, Schizophrenia Psychiatric Genomics Consortium, Nj, Schork, Oa, Andreassen, Am, Dale, Absher D, Agudo A, Almgren P, Ardissino D, Tl, Assimes, Bandinelli S, Barzan L, Bencko V, Benhamou S, Ej, Benjamin, Bernardinelli L, Bis J, Boehnke M, Boerwinkle E, Di, Boomsma, Brennan P, Canova C, Castellsagué X, Chanock S, Chasman D, Di, Conway, Dackor J, Ej, Geus, Duan J, Elosua R, Everett B, Fabianova E, Ferrucci L, Foretova L, Sp, Fortmann, Franceschini N, Frayling T, Furberg C, Pv, Gejman, Groop L, Gu F, Guralnik J, Se, Hankinson, Haritunians T, Healy C, Hofman A, Holcátová I, Dj, Hunter, Sj, Hwang, Jp, Ioannidis, Iribarren C, Au, Jackson, Janout V, Kaprio J, Kim Y, Kjaerheim K, Jw, Knowles, Kraft P, Ladenvall C, Lagiou P, Lanthrop M, Lerman C, Df, Levinson, Levy D, Md, Li, Dy, Lin, Eh, Lips, Lissowska J, Lowry R, Lucas G, Tv, Macfarlane, Maes H, Pm, Mannucci, Mates D, Mauri F, Ja, Mcgovern, Jd, Mckay, McKnight B, Melander O, Pa, Merlini, Milaneschi Y, Kl, Mohlke, Donnell Cj, O., Pare G, Bw, Penninx, Perry J, Posthuma D, Sr, Preis, Psaty B, Quertermous T, Vs, Ramachandran, Richiardi L, Ridker P, Rose J, Rudnai P, Salomaa V, Ar, Sanders, Sm, Schwartz, Shi J, Jh, Smit, Hm, Stringham, Szeszenia-Dabrowska N, Tanaka T, Taylor K, Thacker E, Thornton L, Tiemeier H, Tuomilehto J, Ag, Uitterlinden, Cm, Duijn, Jm, Vink, Vogelzangs N, Bf, Voight, Walter S, Willemsen G, Zaridze D, Znaor A, Akil H, Anjorin A, Backlund L, Ja, Badner, Jd, Barchas, Tb, Barrett, Bass N, Bauer M, Bellivier F, Se, Bergen, Berrettini W, Blackwood D, Cs, Bloss, Breen G, Breuer R, We, Bunner, Burmeister M, Byerley W, Caesar S, Chambert K, Cichon S, St Clair D, Da, Collier, Corvin A, Wh, Coryell, Craddock N, Dw, Craig, Daly M, Day R, Degenhardt F, Djurovic S, Dudbridge F, Hj, Edenberg, Elkin A, Etain B, Ae, Farmer, Ma, Ferreira, Ferrier I, Flickinger M, Foroud T, Frank J, Fraser C, Frisén L, Es, Gershon, Gill M, Gordon-Smith K, Ek, Green, Ta, Greenwood, Grozeva D, Guan W, Gurling H, Ó, Gustafsson, Ml, Hamshere, Hautzinger M, Herms S, Hipolito M, Pa, Holmans, Cm, Hultman, Jamain S, Eg, Jones, Jones I, Jones L, Kandaswamy R, Jl, Kennedy, Gk, Kirov, Dl, Koller, Kwan P, Landén M, Langstrom N, Lathrop M, Lawrence J, Wb, Lawson, Leboyer M, Ph, Lee, Li J, Lichtenstein P, Lin D, Liu C, Fw, Lohoff, Lucae S, Pb, Mahon, Maier W, Ng, Martin, Mattheisen M, Matthews K, Mattingsdal M, Ka, Mcghee, McGuffin P, Mg, Mcinnis, McIntosh A, McKinney R, Aw, Mclean, Fj, Mcmahon, McQuillin A, Meier S, Melle I, Meng F, Pb, Mitchell, Gw, Montgomery, Moran J, Morken G, Dw, Morris, Moskvina V, Muglia P, Tw, Mühleisen, Wj, Muir, Müller-Myhsok B, Rm, Myers, Cm, Nievergelt, Nikolov I, Nimgaonkar V, Mm, Nöthen, Ji, Nurnberger, Ea, Nwulia, O'Dushlaine C, Osby U, Óskarsson H, Mj, Owen, Petursson H, Bs, Pickard, Porgeirsson P, Jb, Potash, Propping P, Sm, Purcell, Quinn E, Raychaudhuri S, Rice J, Rietschel M, Ruderfer D, Schalling M, Af, Schatzberg, Wa, Scheftner, Pr, Schofield, Tg, Schulze, Schumacher J, Mm, Schwarz, Scolnick E, Lj, Scott, Pd, Shilling, Sigurdsson E, Sklar P, En, Smith, Stefansson H, Stefansson K, Steffens M, Steinberg S, Strauss J, Strohmaier J, Szelinger S, Rc, Thompson, Tozzi F, Treutlein J, Jb, Vincent, Sj, Watson, Tf, Wienker, Williamson R, Sh, Witt, Wright A, Xu W, Ah, Young, Pp, Zandi, Zhang P, Zöllner S, Agartz I, Albus M, Alexander M, Rl, Amdur, Amin F, Bitter I, Dw, Black, Ad, Børglum, Ma, Brown, Bruggeman R, Ng, Buccola, Wf, Byerley, Cahn W, Rm, Cantor, Vj, Carr, Sv, Catts, Choudhury K, Cloninger C, Cormican P, Pa, Danoy, Datta S, DeHert M, Demontis D, Dikeos D, Donnelly P, Donohoe G, Duong L, Dwyer S, Fanous A, Fink-Jensen A, Freedman R, Nb, Freimer, Friedl M, Georgieva L, Giegling I, Glenthøj B, Godard S, Golimbet V, de Haan L, Hansen M, Hansen T, Am, Hartmann, Fa, Henskens, Dm, Hougaard, Ingason A, Av, Jablensky, Kd, Jakobsen, Jay M, Eg, Jönsson, Jürgens G, Rs, Kahn, Mc, Keller, Ks, Kendler, Kenis G, Kenny E, Konnerth H, Konte B, Krabbendam L, Krasucki R, Vk, Lasseter, Laurent C, Lencz T, Lerer F, Ky, Liang, Ja, Lieberman, Dh, Linszen, Lönnqvist J, Cm, Loughland, Aw, Maclean, Bs, Maher, Ak, Malhotra, Mallet J, Malloy P, Jj, Mcgrath, McLean DE, Pt, Michie, Milanova V, Mors O, Pb, Mortensen, Bj, Mowry, Myin-Germeys I, Neale B, Da, Nertney, Nestadt G, Nielsen J, Nordentoft M, Norton N, O'Neill F, Olincy A, Olsen L, Ra, Ophoff, Tf, Ørntoft, van Os J, Pantelis C, Papadimitriou G, Cn, Pato, Mt, Pato, Peltonen L, Pickard B, Op, Pietiläinen, Pimm J, Ae, Pulver, Puri V, Digby Quested, Hb, Rasmussen, Jm, Réthelyi, Ribble R, Bp, Riley, Rossin L, Ruggeri M, Rujescu D, Schall U, Sg, Schwab, Rj, Scott, Jm, Silverman, Cc, Spencer, Strange A, Strengman E, Stroup T, Suvisaari J, Terenius L, Thirumalai S, Timm S, Toncheva D, Tosato S, Ej, Den Oord, Veldink J, Pm, Visscher, Walsh D, Ag, Wang, Werge T, Wiersma D, Db, Wildenauer, Hj, Williams, Nm, Williams, van Winkel R, Wormley B., Biological Psychology, Functional Genomics, Educational Neuroscience, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, LEARN! - Social cognition and learning, Biophotonics and Medical Imaging, LEARN! - Brain, learning and development, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Neuroscience Campus Amsterdam - Brain Imaging Technology, LaserLaB - Biophotonics and Microscopy, ANS - Amsterdam Neuroscience, Adult Psychiatry, Psychiatry, Human genetics, Epidemiology and Data Science, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Psychiatrie & Neuropsychologie, RS: MHeNs School for Mental Health and Neuroscience, Gibson, Greg, Germeys, Inez, van Winkel, Ruud, and De Hert, Marc
Subjects: False discovery rate, Netherlands Twin Register (NTR), Cancer Research, Linkage disequilibrium, Genome-wide association study, Linkage Disequilibrium, 0302 clinical medicine, 2.1 Biological and endogenous factors, Aetiology, Genetics (clinical), Genetics, 0303 health sciences, Statistics, Genomics, Single Nucleotide, Genome Scans, Tobacco and Genetics Consortium, Functional Genomics, Phenotype, complex trait, Research Article, Bipolar Disorder Psychiatric Genomics Consortium, lcsh:QH426-470, SNP, Single-nucleotide polymorphism, Computational biology, Biostatistics, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, "genome-wide association study", Genome Analysis Tools, Clinical Research, Schizophrenia Psychiatric Genomics Consortium, Genome-Wide Association Studies, Humans, Genetic Predisposition to Disease, Statistical Methods, Polymorphism, Molecular Biology, Genetic Association Studies, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Genetic association, Linkage (software), Human Genome, Computational Biology, Human Genetics, Heritability, R1, schizophrenia, lcsh:Genetics, Schizophrenia, Mathematics, 030217 neurology & neurosurgery, Genome-Wide Association Study, Developmental Biology
Abstract: Recent results indicate that genome-wide association studies (GWAS) have the potential to explain much of the heritability of common complex phenotypes, but methods are lacking to reliably identify the remaining associated single nucleotide polymorphisms (SNPs). We applied stratified False Discovery Rate (sFDR) methods to leverage genic enrichment in GWAS summary statistics data to uncover new loci likely to replicate in independent samples. Specifically, we use linkage disequilibrium-weighted annotations for each SNP in combination with nominal p-values to estimate the True Discovery Rate (TDR = 1−FDR) for strata determined by different genic categories. We show a consistent pattern of enrichment of polygenic effects in specific annotation categories across diverse phenotypes, with the greatest enrichment for SNPs tagging regulatory and coding genic elements, little enrichment in introns, and negative enrichment for intergenic SNPs. Stratified enrichment directly leads to increased TDR for a given p-value, mirrored by increased replication rates in independent samples. We show this in independent Crohn's disease GWAS, where we find a hundredfold variation in replication rate across genic categories. Applying a well-established sFDR methodology we demonstrate the utility of stratification for improving power of GWAS in complex phenotypes, with increased rejection rates from 20% in height to 300% in schizophrenia with traditional FDR and sFDR both fixed at 0.05. Our analyses demonstrate an inherent stratification among GWAS SNPs with important conceptual implications that can be leveraged by statistical methods to improve the discovery of loci., Author Summary Modern genome-wide association studies (GWAS) have failed to identify large portions of the genetic basis of common, complex traits. Recent work suggested this could be because many genetic variants, each with individually small effects, compose their genetic architecture, limiting the power of GWAS. Moreover, these variants appear more abundantly in and near genes. Using genome annotations, summary statistics from several of the largest GWAS, and established statistical methods for quantifying distributions of test statistics, we show a consistency across studies. Namely, we show that, across all assessed traits, the test statistics resulting from SNPs that are related to the 5′ UTR of genes show the largest abundance of associations, while SNPs related to exons and the 3′UTR are also enriched. SNPs related to introns are only moderately enriched, and intergenic SNPs show a depletion of associations relative to the average SNP. This enrichment corresponds directly to increased replication across independent samples and can be incorporated a priori into statistical methods to improve discovery and prediction. Our results contribute to on-going debates about the functional nature of the genetic architecture of complex traits and point to avenues for leveraging existing GWAS data for discovery in future GWA and sequencing studies.
Published: 2013

46. Identification of risk loci with shared effects on five major psychiatric disorders:a genome-wide analysis

Author: Smoller, J.W., Ripke, S., Lee, P.H., Neale, B., Nurnberger, J.I., Santangelo, S., Sullivan, P.F., Perlis, R.H., Purcell, S.M., Fanous, A., Neale, M.C., Rietschel, M., Schulze, T.G., Thapar, A., Anney, R., Buitelaar, J.K., Farone, S.V., Hoogendijk, W.J.G., Levinson, D.F., Lesch, K.P., Riley, B., Schachar, R., Sonuga-Barke, E.J., Absher, D., Agartz, I., Akil, H., Amin, F., Andreassen, O.A., Anjorin, A., Arking, D., Asherson, P., Azevedo, M.H., Backlund, L., Badner, J.A., Banaschewski, T., Barchas, J.D., Barnes, M.R., Bass, N., Bauer, M.C.R., Bellivier, F., Bergen, S.E., Berrettini, W., Bettecken, T., Biederman, J, Binder, E.B., Black, D.W., Blackwood, D.H., Bloss, C.S., Boehnke, M., Boomsma, D.I., Breen, G., Breuer, R., Buccola, N.G., Bunner, W.E., Burmeister, M., Buxbaum, J.D., Byerley, W. F., Sian, C., Cantor, R.M., Chakravarti, A., Chambert, K., Chicon, S., Cloniger, C.R., Collier, D.A., Cook, E., Coon, H., Corvin, A., Coryell, W.H., Craig, D.W., Craig, I.W., Curtis, D., Czamara, D., Daly, M., Datta, S., Day, R., de Geus, E.J.C., Degenhardt, F., Devlin, B., Srdjan, D., Doyle, A.E., Duan, J., Dudbridge, F., Edenberg, H.J., Elkin, A., Etain, B., Farmer, A.E., Ferreira, M.A.R., Ferrier, I.N., Flickinger, M., Foroud, T., Frank, J., Franke, B., Fraser, C., Freedman, R., Freimer, N.B., Friedl, M., Frisén, L., Gejman, P.V., Georgieva, L., Gershon, E.S., Giegling, I., Gill, M., Gordon, S.D., Gordon-Smith, K., Green, E.K., Greenwood, T.A., Gross, M., Grozeva, D., Guan, W., Gurling, H., Gustafsson, O., Hakonarson, H., Hamilton, S.P., Hamshere, M.L., Hansen, T.F., Hartmann, A.M., Hautzinger, M., Heath, A.C., Henders, A.K., Herms, S., Hickie, I.B., Hipolito, M., Hoefels, S., Holmans, P.A., Holsboer, F., Hottenga, J.J., Hultman, C. M., Ingason, A., Ising, M., Jamain, S., Jones, E.G., Jones, L., Jones, I., Jung-Ying, T., Kahler, A., Kandaswamy, R., Keller, M.C., Kelsoe, J., Kennedy, J.L., Kenny, E., Kim, Y., Kirov, G. K., Knowles, J.A., Kohli, M.A., Koller, D.L., Konte, B., Korszun, A., Krasucki, R., Kuntsi, J., Phoenix, K., Landén, M., Langstrom, N., Lathrop, M., Lawrence, J., Lawson, W.B., Leboyer, M., Lencz, T., Lewis, C.M., Li, J., Lichtenstein, P., Lieberman, J. A., Lin, D., Liu, C., Lohoff, F.W., Loo, S.K., Lucae, S., MacIntyre, D.J., Madden, P.A.F., Magnusson, P., Mahon, P.B., Maier, W., Malhotra, A.K., Mattheisen, M., Matthews, K., Mattingsdal, M., McCarroll, S., McGhee, K.A., McGough, J.J., McGrath, P.J., McGuffin, P., McInnis, M.G., McIntosh, A., McKinney, R., McClean, A.W., McMahon, F.J., McQuillin, A., Medeiros, H., Medland, S.E., Meier, S., Melle, I., Meng, F., Middeldorp, C.M., Middleton, L., Vihra, M., Mitchell, P.B., Montgomery, G.W., Moran, J., Morken, G., Morris, D.W., Moskvina, V., Mowry, B. J., Muglia, P., Mühleisen, T.W., Muir, W.J., Müller-Myhsok, B., Myers, R.M., Nelson, S.F., Nievergelt, C.M., Nikolovq, I., Nimgaonkar, V.L., Nolen, W.A., Nöthen, M.M., Nwulia, E.A., Nyholt, DR, O'Donovan, M.C., O'Dushlaine, C., Oades, R.D., Olincy, A., Olsen, L., Ophoff, R.A., Osby, U., Óskarsson, H., Owen, M.J., Palotie, A., Pato, M.T., Pato, C.N., Penninx, B.W.J.H., Pergadia, M.L., Petursson, H., Pickard, B.S., Pimm, J., Piven, J., Porgeirsson, P., Posthuma, D., Potash, J.B., Propping, J., Puri, V., Quested, D., Quinn, E.M., Rasmussen, H.B., Raychaudhuri, S., Rehnström, K., Reif, A., Rice, J., Rossin, L., Rothenberger, A., Rouleau, G., Ruderfer, D., Rujescu, D., Sanders, A.R., Schalling, M., Schatzberg, A.F., Scheftner, W.A., Schellenberg, G.D., Schofield, P.R., Schork, N.J., Schumacher, J., Schwarz, M.M., Scolnick, E., Scott, L.J., Shi, J., Shillling, P.D., Shyn, S.I., Sigurdsson, E., Silverman, J.M., Sklar, P., Slager, S.L., Smalley, S.L., Smit, J.H., Smith, E.N., Sonuga-Barke, E., St Clair, D., State, M., Stefansson, K., Stefansson, H., Steffans, M., Steinberg, S., Steinhausen, H.C., Strauss, J., Strohmaier, J., Stroup, T.S., Sutcliffe, J., Szatmari, P., Szelinger, S., Thirumalai, S., Thompson, R.C., Tozzi, F., Treutlein, J., Uhr, M., van den Oord, E.J., Grootheest, G., Vieland, V., Vincent, J.B., Visscher, P.M., Watson, S.J., Weissman, M.M., Werge, T., Wienker, T.F., Willemsen, G., Williamson, R., Witt, S.H., Wray, N.R., Wright, A., Xu, W., Young, A.H., Zammit, S., Zandi, P.P., Zhang, P., Zitman, F.G., Zöllner, S., Kendler, K.S., Psychiatry, Human genetics, Epidemiology and Data Science, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Biological Psychology, Functional Genomics, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Neuroscience Campus Amsterdam - Brain Imaging Technology, Psychiatrie & Neuropsychologie, Farmacologie en Toxicologie, RS: CARIM School for Cardiovascular Diseases, RS: MHeNs School for Mental Health and Neuroscience, Oades, Robert D. (Beitragende*r), and Oades, Robert D.
Subjects: Netherlands Twin Register (NTR), Adult, medicine.medical_specialty, Bipolar Disorder, Calcium Channels, L-Type, Population, Medizin, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, Genomic disorders and inherited multi-system disorders DCN MP - Plasticity and memory [IGMD 3], medicine, ddc:61, Attention deficit hyperactivity disorder, Humans, DCN PAC - Perception action and control NCEBP 9 - Mental health, ddc:610, Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Bipolar disorder, Age of Onset, Psychiatry, education, Child, Genetics, education.field_of_study, Depressive Disorder, Major, General Medicine, Genomic disorders and inherited multi-system disorders [DCN PAC - Perception action and control IGMD 3], medicine.disease, Logistic Models, Autism spectrum disorder, Schizophrenia, Attention Deficit Disorder with Hyperactivity, Child Development Disorders, Pervasive, Genetic Loci, Expression quantitative trait loci, Major depressive disorder, Genome-Wide Association Study
Abstract: Item does not contain fulltext BACKGROUND: Findings from family and twin studies suggest that genetic contributions to psychiatric disorders do not in all cases map to present diagnostic categories. We aimed to identify specific variants underlying genetic effects shared between the five disorders in the Psychiatric Genomics Consortium: autism spectrum disorder, attention deficit-hyperactivity disorder, bipolar disorder, major depressive disorder, and schizophrenia. METHODS: We analysed genome-wide single-nucleotide polymorphism (SNP) data for the five disorders in 33,332 cases and 27,888 controls of European ancestory. To characterise allelic effects on each disorder, we applied a multinomial logistic regression procedure with model selection to identify the best-fitting model of relations between genotype and phenotype. We examined cross-disorder effects of genome-wide significant loci previously identified for bipolar disorder and schizophrenia, and used polygenic risk-score analysis to examine such effects from a broader set of common variants. We undertook pathway analyses to establish the biological associations underlying genetic overlap for the five disorders. We used enrichment analysis of expression quantitative trait loci (eQTL) data to assess whether SNPs with cross-disorder association were enriched for regulatory SNPs in post-mortem brain-tissue samples. FINDINGS: SNPs at four loci surpassed the cutoff for genome-wide significance (p
Published: 2013

47. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

Author: Ripke, S, O'Dushlaine, C, Chambert, K, Moran, Jl, Kähler, Ak, Akterin, S, Bergen, Se, Collins, Al, Crowley, Jj, Fromer, M, Kim, Y, Lee, Sh, Magnusson, Pk, Sanchez, N, Stahl, Ea, Williams, S, Wray, Nr, Xia, K, Bettella, F, Borglum, Ad, Bulik Sullivan, Bk, Cormican, P, Craddock, N, Leeuw, De, C, Durmishi, N, Gill, M, Golimbet, V, Hamshere, Ml, Holmans, P, Hougaard, Dm, Kendler, Ks, Lin, K, Morris, Dw, Mors, O, Mortensen, Pb, Neale, Bm, O'Neill, Fa, Owen, Mj, Milovancevic, Mp, Posthuma, D, Powell, J, Richards, Al, Riley, Bp, Ruderfer, D, Rujescu, D, Sigurdsson, E, Silagadze, T, Smit, Ab, Stefansson, H, Steinberg, S, Suvisaari, J, Tosato, Sarah, Verhage, M, Walters, Jt, Multicenter Genetic Studies of Schizophrenia Consortium, Levinson, Df, Gejman, Pv, Laurent, C, Mowry, Bj, O'Donovan, Mc, Pulver, Ae, Schwab, Sg, Wildenauer, Db, Dudbridge, F, Shi, J, Albus, M, Alexander, M, Campion, D, Cohen, D, Dikeos, D, Duan, J, Eichhammer, P, Godard, S, Hansen, M, Lerer, Fb, Liang, Ky, Maier, W, Mallet, J, Nertney, Da, Nestadt, G, Norton, N, Papadimitriou, Gn, Ribble, R, Sanders, Ar, Silverman, Jm, Walsh, D, Williams, Nm, Wormley, B, Psychosis Endophenotypes International Consortium, Arranz, Mj, Bakker, S, Bender, S, Bramon, E, Collier, D, Crespo Facorro, B, Hall, J, Iyegbe, C, Jablensky, A, Kahn, Rs, Kalaydjieva, L, Lawrie, S, Lewis, Cm, Linszen, Dh, Mata, I, Mcintosh, A, Murray, Rm, Ophoff, Ra, Van, Os, J, Walshe, M, Weisbrod, M, Wiersma, D, Wellcome Trust Case Control Consortium 2, Donnelly, P, Barroso, I, Blackwell, Jm, Brown, Ma, Casas, Jp, Corvin, Ap, Deloukas, P, Duncanson, A, Jankowski, J, Markus, Hs, Mathew, Cg, Palmer, Cn, Plomin, R, Rautanen, A, Sawcer, Sj, Trembath, Rc, Viswanathan, Ac, Wood, Nw, Spencer, Cc, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Giannoulatou, E, Pirinen, M, Pearson, Rd, Strange, A, Su, Z, Vukcevic, D, Langford, C, Hunt, Se, Edkins, S, Gwilliam, R, Blackburn, H, Bumpstead, Sj, Dronov, S, Gillman, M, Gray, E, Hammond, N, Jayakumar, A, Mccann, Ot, Liddle, J, Potter, Sc, Ravindrarajah, R, Ricketts, M, Tashakkori Ghanbaria, A, Waller, Mj, Weston, P, Widaa, S, Whittaker, P, Mccarthy, Mi, Stefansson, K, Scolnick, E, Purcell, S, Mccarroll, Sa, Sklar, P, Hultman, Cm, Sullivan, P. F., Functional Genomics, Molecular and Cellular Neurobiology, AIMMS, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Adult Psychiatry, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Lee, Sang Hong, Sullivan, Patrick F, Multicenter Genetic Studies of Schizophrenia Consortium, Psychosis Endophenotypes International Consortium, Wellcome Trust Case Control Consortium 2, Massachusetts Gen Hosp, Analyt & Translat Genet Unit, Boston, MA 02114 USA Broad Inst MIT & Harvard, Stanley Ctr Psychiat Res, Cambridge, MA USA Univ N Carolina, Dept Genet, Chapel Hill, NC 27515 USA Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden Oslo Univ Hosp, Div Mental Hlth & Addict, Oslo, Norway Icahn Sch Med Mt Sinai, Dept Psychiat, Div Psychiat Genom, New York, NY USA Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia Univ N Carolina, Dept Psychiat, Chapel Hill, NC USA deCODE Genet, Reykjavik, Iceland Aarhus Univ Hosp, Risskov, Denmark Aarhus Univ, Ctr Integrat Sequencing iSEQ, Aarhus, Denmark Lundbeck Fdn Initiat Integrat Psychiat Res iPSYCH, Aarhus, Denmark Lundbeck Fdn Initiat Integrat Psychiat Res iPSYCH, Copenhagen, Denmark Univ Dublin Trinity Coll, Dept Psychiat, Dublin 2, Ireland Cardiff Univ, Sch Med, Ctr Psychiat Genet & Genom, MRC, Cardiff CF10 3AX, S Glam, Wales Vrije Univ Amsterdam, Ctr Neurogen & Cognit Res, Dept Funct Genom, Amsterdam, Netherlands Vrije Univ Amsterdam Med Ctr, Amsterdam, Netherlands Radboud Univ Nijmegen, Inst Comp & Informat Sci, NL-6525 ED Nijmegen, Netherlands Univ Clin Psychiat, Dept Child & Adolescent Psychiat, Skopje, Macedonia Univ Dublin Trinity Coll, Neuropsychiat Genet Res Grp, Dublin 2, Ireland Russian Acad Med Sci, Mental Hlth Res Ctr, Moscow 109801, Russia Statens Serum Inst, DK-2300 Copenhagen, Denmark Virginia Commonwealth Univ, Dept Psychiat, Richmond, VA USA Virginia Commonwealth Univ, Virginia Inst Psychiat & Behav Genet, Richmond, VA USA Kings Coll London, Inst Psychiat, London, England Aarhus Univ Hosp, Ctr Psychiat Res, Risskov, Denmark Aarhus Univ, Natl Ctr Register Based Res, Aarhus, DenmarkQueens Univ Belfast, Ctr Publ Hlth, Belfast, Antrim, North Ireland Univ Belgrade, Fac Med, Belgrade, Serbia Erasmus Univ, Med Ctr, Dept Child & Adolescent Psychiat, Rotterdam, Netherlands Kings Coll London, Dept Neurosci, London, England Virginia Commonwealth Univ, Dept Human & Mol Genet, Richmond, VA USA Univ Halle, Dept Psychiat, Halle, Germany Univ Munich, Dept Psychiat, D-80539 Munich, Germany Univ Iceland, Dept Psychiat, Reykjavik, Iceland Landspitali University Hospital Reykjavik, Iceland Tbilisi State Univ, Dept Psychiat, GE-380086 Tbilisi, Rep of Georgia Vrije Univ Amsterdam, Ctr Neurogen & Cognit Res, Amsterdam, Netherlands Vrije Univ Amsterdam, Dept Mol & Cellular Neurosci, Amsterdam, Netherlands Natl Inst Hlth & Welf, Mental Hlth & Subst Abuse Serv, Helsinki, Finland Univ Verona, Sect Psychiat, I-37100 Verona, Italy UCL, Inst Cognit Neurosci, London, England UCL, Mental Hlth Sci Unit, London, England Massachusetts Gen Hosp, Psychiat & Neurodev Genet Unit, Boston, MA 02114 USA Harvard Univ, Sch Med, Dept Genet, Boston, MA USA, Child and Adolescent Psychiatry / Psychology, Psychiatrie & Neuropsychologie, RS: MHeNs School for Mental Health and Neuroscience, Human genetics, NCA - Brain mechanisms in health and disease, and NCA - Neurobiology of mental health
Subjects: Male, Candidate gene, SNP, Single-nucleotide polymorphism, Genome-wide association study, Disease, Biology, heritability, neuronal calcium signaling, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Genetics, medicine, Humans, GWAS, Genetic Predisposition to Disease, Bipolar disorder, 030304 developmental biology, Genetic association, Sweden, Genetics & Heredity, 0303 health sciences, medicine.disease, 3. Good health, genome sequencing, schizophrenia, Schizophrenia, Meta-analysis, Case-Control Studies, genetic variation, Female, genome-wide scan, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: To access publisher's full text version of this article. Please click on the hyperlink in Additional Links field. Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300-10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder. NIMH R01 MH077139 R01 MH095034 Stanley Center for Psychiatric Research Sylvan Herman Foundation Friedman Brain Institute at the Mount Sinai School of Medicine Karolinska Institutet, Karolinska University Hospital Swedish Research Council Swedish County Council Soderstrom Konigska Foundation Netherlands Scientific Organization NWO 645-000-003 info:eu-repo/grantAgreement/EC/FP7/223423 Danish Strategic Research Council H. Lundbeck A/S Faculty of Health Sciences at Aarhus University Lundbeck Foundation Stanley Research Foundation Wellcome Trust 085475/B/08/Z 085475/Z/08/Z
Published: 2013

48. Genetic schizophrenia risk variants jointly modulate total brain and white matter volume

Author: Terwisscha van Scheltinga, Af, Bakker, Sc, van Haren, Ne, Derks, Em, Buizer Voskamp, Je, Boos, Hb, Cahn, W, Hulshoff, Pol, Ripke, S, Ophoff, Ra, Kahn, Rs, Sanders, Ar, Kendler, Ks, Levinson, Df, Sklar, P, Holmans, Pa, Lin, Dy, Duan, J, Andreassen, Oa, Scolnick, E, Cichon, S, Clair, St, D, Corvin, A, Gurling, H, Werge, T, Rujescu, D, Blackwood, Dh, Pato, Cn, Malhotra, Ak, Purcell, S, Dudbridge, F, Neale, Bm, Rossin, L, Visscher, Pm, Posthuma, D, Ruderfer, Dm, Fanous, A, Stefansson, H, Steinberg, S, Mowry, Bj, Golimbet, V, Hert, De, M, Jonsson, Eg, Bitter, I, Pietiläinen, Op, Collier, Da, Tosato, Sarah, Agartz, I, Albus, M, Alexander, M, Amdur, Rl, Amin, F, Bass, N, Bergen, Se, Black, Dw, Børglum, Ad, Brown, Ma, Bruggeman, R, Buccola, Ng, Byerley, Wf, Cantor, Rm, Carr, Vj, Catts, Sv, Choudhury, K, Cloninger, C, Cormican, P, Craddock, N, Danoy, Pa, Datta, S, Haan, De, L, Demontis, D, Dikeos, D, Djurovic, S, Donnelly, P, Donohoe, G, Duong, L, Dwyer, S, Fink Jensen, A, Freedman, R, Freimer, Nb, Friedl, M, Georgieva, L, Giegline, I, Gill, M, Glenthøj, B, Godard, S, Hamshere, M, Hansen, M, Hansen, T, Hartmann, Am, Henskens, Fa, Hougaard, Dm, Hultman, Cm, Ingason, A, Jablensky, Av, Jakobsen, Kd, Jay, M, Jürgens, G, Keller, Mc, Kenis, G, Kenny, E, Kim, Y, Kirov, Gk, Konnerth, H, Konte, B, Krabbendam, L, Krasucki, R, Lasseter, Vk, Laurent, C, Lawrence, J, Lencz, T, Lerer, F, Liang, Ky, Lichtenstein, P, Lieberman, Ja, Linszen, Dh, Lönnqvist, J, Loughland, Cm, Maclean, Aw, Maher, Bs, Maier, W, Mallet, J, Malloy, P, Mattheisen, M, Mattingsdal, M, Mcghee, Ka, Mcgrath, Jj, Mcintosh, A, Mclean, De, Mcquillin, A, Melle, I, Michie, Pt, Milanova, V, Morris, Dw, Mors, O, Mortensen, Pb, Moskvina, V, Muglia, P, Myin Germeys, I, Nertney, Da, Nestadt, G, Nielsen, J, Nikolov, I, Nordentoft, M, Norton, N, Nöthen, Mm, O'Dushlaine, C, Olincy, A, Olsen, L, O'Neill, F, Ørntoft, Tf, Owen, Mj, Pantelis, C, Papadimitriou, G, Pato, Mt, Peltonen, L, Petursson, H, Pickard, B, Pimm, J, Pulver, Ae, Puri, V, Quested, D, Quinn, Em, Rasmussen, Hb, Réthelyi, Jm, Ribble, R, Rietschel, M, Riley, Bp, Ruggeri, Mirella, Schall, U, Schulze, Tg, Schwab, Sg, Scott, Rj, Shi, J, Sigurdsson, E, Silverman, Jm, Spencer, Cc, Stefansson, K, Strange, A, Strengman, E, Stroup, Ts, Suvisaari, J, Terenius, L, Thirumalai, S, Thygesen, Jh, Timm, S, Toncheva, D, van den Oord, E, van Os, J, Van, Winkel, R, Veldink, J, Walsh, D, Wang, Ag, Wiersma, D, Wildenauer, Db, Williams, Hj, Williams, Nm, Wormley, B, Zammit, S, Sullivan, Pf, O'Donovan, Mc, Daly, Mj, Gejman, Pv, ANS - Amsterdam Neuroscience, APH - Amsterdam Public Health, Adult Psychiatry, Functional Genomics, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Psychiatrie & Neuropsychologie, RS: MHeNs School for Mental Health and Neuroscience, Myin-Germeys, Inez, De Hert, Marc, and van Winkel, Ruud
Subjects: Adult, Male, Psychosis, Genotype, Single-nucleotide polymorphism, Genome-wide association study, Biology, Nerve Fibers, Myelinated, Polymorphism, Single Nucleotide, Article, White matter, genome-wide, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, mental disorders, medicine, Genetic predisposition, Humans, Genetic Predisposition to Disease, Biological Psychiatry, structural MRI, Genetics, neuroimaging, Case-control study, Brain, imaging, medicine.disease, 030227 psychiatry, 3. Good health, schizophrenia, Endophenotype, Phenotype, medicine.anatomical_structure, psychiatric, Schizophrenia, Case-Control Studies, Female, endophenotype, Genome-Wide Association Study, SNPs, Atrophy, 030217 neurology & neurosurgery
Abstract: BACKGROUND: Thousands of common single nucleotide polymorphisms (SNPs) are weakly associated with schizophrenia. It is likely that subsets of disease-associated SNPs are associated with distinct heritable disease-associated phenotypes. Therefore, we examined the shared genetic susceptibility modulating schizophrenia and brain volume. METHODS: Odds ratios for genome-wide SNP data were calculated in the sample collected by the Psychiatric Genome-wide Association Study Consortium (8690 schizophrenia patients and 11,831 control subjects, excluding subjects from the present study). These were used to calculate individual polygenic schizophrenia (risk) scores in an independent sample of 152 schizophrenia patients and 142 healthy control subjects with available structural magnetic resonance imaging scans. RESULTS: In the entire group, the polygenic schizophrenia score was significantly associated with total brain volume (R2 = .048, p = 1.6 × 10(-4)) and white matter volume (R2 = .051, p = 8.6 × 10(-5)) equally in patients and control subjects. The number of (independent) SNPs that substantially influenced both disease risk and white matter (n = 2020) was much smaller than the entire set of SNPs that modulated disease status (n = 14,751). From the set of 2020 SNPs, a group of 186 SNPs showed most evidence for association with white matter volume and an explorative functional analysis showed that these SNPs were located in genes with neuronal functions. CONCLUSIONS: These results indicate that a relatively small subset of schizophrenia genetic risk variants is related to the (normal) development of white matter. This, in turn, suggests that disruptions in white matter growth increase the susceptibility to develop schizophrenia.
Published: 2013

49. Copy number variations of chromosome 16p13.1 region associated with schizophrenia

Author: Ingason, A., Rujescu, D., Sigurdsson, E., Sigmundsson, T., Pietilainen, O.P., Buizer-Voskamp, J.E., Strengman, E., Francks, C., Muglia, P., Gylfason, A., Gustafsson, O., Olason, P.I., Steinberg, S., Hansen, T., Jakobsen, K.D., Rasmussen, H.B., Giegling, I., Moller, H.J., Hartmann, A., Crombie, C., Fraser, G., Walker, N., Lonnqvist, J., Suvisaari, J., Tuulio-Henriksson, A., Bramon, E., Kiemeney, L.A., Franke, B., Murray, R., Vassos, E., Toulopoulou, T., Muhleisen, T.W., Tosato, S., Ruggeri, M., Djurovic, S., Andreassen, O.A., Zhang, Z., Werge, T., Ophoff, R.A., Bruggeman, R., Cahn, W., de Haan, L., Kahn, R., Krabbendam, L., Linzen, D., Myin-Germeys, I., van Os, J., Wiersma, D., Rietschel, M., Nothen, M.M., Petursson, H., Stefansson, H., Peltonen, L., Collier, D., Stefansson, K., Clair, D.M., Psychiatrie & Neuropsychologie, RS: MHeNs School for Mental Health and Neuroscience, Educational Neuroscience, Clinical Child and Family Studies, LEARN! - Brain, learning and development, Other departments, ANS - Amsterdam Neuroscience, and Adult Psychiatry
Subjects: Adult, Male, Psychosis, Adolescent, DNA Copy Number Variations, CNV, Locus (genetics), Genomic disorders and inherited multi-system disorders Functional Neurogenomics [IGMD 3], Biology, Article, Genomic disorders and inherited multi-system disorders [IGMD 3], 03 medical and health sciences, Cellular and Molecular Neuroscience, DISC1, Young Adult, 0302 clinical medicine, Segmental Duplications, Genomic, Reference Values, Gene duplication, mental disorders, medicine, Humans, Copy-number variation, Child, Molecular Biology, Molecular epidemiology Aetiology, screening and detection [NCEBP 1], 030304 developmental biology, Segmental duplication, Sequence Deletion, Genetics, Chromosome Aberrations, 0303 health sciences, 16p13.1, schizophrenia, duplication, Chromosome Mapping, Low copy repeats, medicine.disease, Psychiatry and Mental health, Case-Control Studies, biology.protein, Autism, Female, Functional Neurogenomics [DCN 2], 030217 neurology & neurosurgery, Chromosomes, Human, Pair 16
Abstract: Deletions and reciprocal duplications of the chromosome 16p13.1 region have recently been reported in several cases of autism and mental retardation (MR). As genomic copy number variants found in these two disorders may also associate with schizophrenia, we examined 4345 schizophrenia patients and 35 079 controls from 8 European populations for duplications and deletions at the 16p13.1 locus, using microarray data. We found a threefold excess of duplications and deletions in schizophrenia cases compared with controls, with duplications present in 0.30% of cases versus 0.09% of controls (P0.007) and deletions in 0.12 % of cases and 0.04% of controls (P0.05). The region can be divided into three intervals defined by flanking low copy repeats. Duplications spanning intervals I and II showed the most significant (P0.00010) association with schizophrenia. The age of onset in duplication and deletion carriers among cases ranged from 12 to 35 years, and the majority were males with a family history of psychiatric disorders. In a single Icelandic family, a duplication spanning intervals I and II was present in two cases of schizophrenia, and individual cases of alcoholism, attention deficit hyperactivity disorder and dyslexia. Candidate genes in the region include NTAN1 and NDE1. We conclude that duplications and perhaps also deletions of chromosome 16p13.1, previously reported to be associated with autism and MR, also confer risk of schizophrenia. © 2011 Macmillan Publishers Limited All rights reserved., link_to_OA_fulltext
Published: 2011

50. Common variants at VRK2 and TCF4 conferring risk of schizophrenia

Author: Steinberg, S., Jong, S. d., Genomics, I. S., Andreassen, O. A., Werge, T., Børglum, A. D., Mors, O., Mortensen, P. B., Gustafsson, O., Costas, J., O. P. H., Demontis, D., Papiol, S., Huttenlocher, J., Mattheisen, M., Breuer, R., Vassos, E., Giegling, I., Fraser, G., Walker, N., Tuulio Henriksson, A., Suvisaari, J., Lönnqvist, J., Paunio, T., Agartz, I., Melle, I., Djurovic, S., Strengman, E., G. R. O., Jürgens, G., Glenthøj, B., Terenius, L., Hougaard, D. M., Orntoft, T., Wiuf, C., Didriksen, M., Hollegaard, M. V., Nordentoft, M., Winkel, R. v., Kenis, G., Abramova, L., Kaleda, V., Arrojo, M., Sanjuán, J., Arango, C., Sperling, S., Rossner, M., Ribolsi, M., Magni, V., Siracusano, A., Christiansen, C., Kiemeney, L. A., Veldink, J., Den, L. v., Ingason, A., Muglia, P., Murray, R., Nöthen, M. M., Sigurdsson, E., Petursson, H., Thorsteinsdottir, U., Kong, A., Rubino, I. A., Hert, M. D., Réthelyi, J. M., Bitter, I., Jönsson, E. G., Golimbet, V., Carracedo, A., Ehrenreich, H., Craddock, N., Owen, M. J., O'Donovan, M. C., Case, W. T., Ruggeri, Mirella, Tosato, Sarah, Peltonen, L., Ophoff, R. A., Collier, D. A., Clair, D. S., Rietschel, M., Cichon, S., Stefansson, H., Rujescu, D., Stefansson, K., Psychiatrie & Neuropsychologie, RS: MHeNs School for Mental Health and Neuroscience, Amsterdam Neuroscience, Adult Psychiatry, and deCODE Genetics, IS-101 Reykjavik, Iceland.
Subjects: schizophrenia, sequence variants, TCF4, Genome-wide association study, Transcription Factor 4, 0302 clinical medicine, VRK2 protein, human, Polymorphism (computer science), Genotype, genetics [Schizophrenia], Neurogranin, Genetics (clinical), Schizophrenia, Risk, Alleles, Polymorphism, Single Nucleotide, Transcription Factors, Humans, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, Genetic Predisposition to Disease, Protein-Serine-Threonine Kinases, Genome-Wide Association Study, Genetics, 0303 health sciences, Association Studies Articles, Single Nucleotide, General Medicine, genetics [Transcription Factors], 3. Good health, Protein Serine-Threonine Kinases, Biology, genetics [Protein-Serine-Threonine Kinases], Molecular epidemiology [NCEBP 1], 03 medical and health sciences, ddc:570, Polymorphism, Allele, genetics [Basic Helix-Loop-Helix Leucine Zipper Transcription Factors], Settore MED/25 - Psichiatria, Molecular Biology, Molecular epidemiology Aetiology, screening and detection [NCEBP 1], 030304 developmental biology, Intron, Odds ratio, Molecular biology, TCF4 protein, human, 030217 neurology & neurosurgery
Abstract: To access publisher full text version of this article. Please click on the hyperlink in Additional Links field. Common sequence variants have recently joined rare structural polymorphisms as genetic factors with strong evidence for association with schizophrenia. Here we extend our previous genome-wide association study and meta-analysis (totalling 7 946 cases and 19 036 controls) by examining an expanded set of variants using an enlarged follow-up sample (up to 10 260 cases and 23 500 controls). In addition to previously reported alleles in the major histocompatibility complex region, near neurogranin (NRGN) and in an intron of transcription factor 4 (TCF4), we find two novel variants showing genome-wide significant association: rs2312147[C], upstream of vaccinia-related kinase 2 (VRK2) [odds ratio (OR) = 1.09, P = 1.9 × 10(-9)] and rs4309482[A], between coiled-coiled domain containing 68 (CCDC68) and TCF4, about 400 kb from the previously described risk allele, but not accounted for by its association (OR = 1.09, P = 7.8 × 10(-9)). European Union LSHM-CT-2006-037761 PIAP-GA-2008-218251 HEALTH-F2-2009-223423 National Genome Research Network of the German Federal Ministry of Education and Research (BMBF) 01GS08144 01GS08147 National Institute of Mental Health R01 MH078075 N01 MH900001 MH074027 Centre of Excellence for Complex Disease Genetics of the Academy of Finland 213506 129680 Biocentrum Helsinki Foundation Faculty of Medicine, University of Helsinki Stanley Medical Research Institute Danish Council for Strategic Research 2101-07-0059 H. Lundbeck A/S Research Council of Norway 163070/V50 South-East Norway Health Authority 2004-123 Medical Research Council Ministerio de Sanidad y Consumo, Spain PI081522 Xunta de Galicia 08CSA005208PR Swedish Research Council Wellcome Trust 083948/Z/07/Z Max Planck Society Eli Lilly and Company info:eu-repo/grantAgreement/EC/FP7/218251
Published: 2011

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