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65 results on '"Schulze, Thomas"'

1. Distinct genetic liability profiles define clinically relevant patient strata across common diseases.

Author

Trastulla L, Dolgalev G, Moser S, Jiménez-Barrón LT, Andlauer TFM, von Scheidt M, Budde M, Heilbronner U, Papiol S, Teumer A, Homuth G, Völzke H, Dörr M, Falkai P, Schulze TG, Gagneur J, Iorio F, Müller-Myhsok B, Schunkert H, and Ziller MJ

Subjects
Humans, Risk Factors, Female, Precision Medicine, Male, Genome-Wide Association Study, Middle Aged, Polymorphism, Single Nucleotide, Schizophrenia genetics, Multifactorial Inheritance genetics, Genetic Predisposition to Disease genetics, Coronary Artery Disease genetics
Abstract

Stratified medicine holds great promise to tailor treatment to the needs of individual patients. While genetics holds great potential to aid patient stratification, it remains a major challenge to operationalize complex genetic risk factor profiles to deconstruct clinical heterogeneity. Contemporary approaches to this problem rely on polygenic risk scores (PRS), which provide only limited clinical utility and lack a clear biological foundation. To overcome these limitations, we develop the CASTom-iGEx approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue specific gene expression levels. The paradigmatic application of this approach to coronary artery disease or schizophrenia patient cohorts identified diverse strata or biotypes. These biotypes are characterized by distinct endophenotype profiles as well as clinical parameters and are fundamentally distinct from PRS based groupings. In stark contrast to the latter, the CASTom-iGEx strategy discovers biologically meaningful and clinically actionable patient subgroups, where complex genetic liabilities are not randomly distributed across individuals but rather converge onto distinct disease relevant biological processes. These results support the notion of different patient biotypes characterized by partially distinct pathomechanisms. Thus, the universally applicable approach presented here has the potential to constitute an important component of future personalized medicine paradigms., (© 2024. The Author(s).)

Published
2024
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2. HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders.

Author

Le Clerc S, Lombardi L, Baune BT, Amare AT, Schubert KO, Hou L, Clark SR, Papiol S, Cearns M, Heilbronner U, Degenhardt F, Tekola-Ayele F, Hsu YH, Shekhtman T, Adli M, Akula N, Akiyama K, Ardau R, Arias B, Aubry JM, Backlund L, Bhattacharjee AK, Bellivier F, Benabarre A, Bengesser S, Biernacka JM, Birner A, Brichant-Petitjean C, Cervantes P, Chen HC, Chillotti C, Cichon S, Cruceanu C, Czerski PM, Dalkner N, Dayer A, Del Zompo M, DePaulo JR, Étain B, Jamain S, Falkai P, Forstner AJ, Frisen L, Frye MA, Fullerton JM, Gard S, Garnham JS, Goes FS, Grigoroiu-Serbanescu M, Grof P, Hashimoto R, Hauser J, Herms S, Hoffmann P, Jiménez E, Kahn JP, Kassem L, Kuo PH, Kato T, Kelsoe JR, Kittel-Schneider S, Ferensztajn-Rochowiak E, König B, Kusumi I, Laje G, Landén M, Lavebratt C, Leckband SG, Tortorella A, Manchia M, Martinsson L, McCarthy MJ, McElroy SL, Colom F, Millischer V, Mitjans M, Mondimore FM, Monteleone P, Nievergelt CM, Nöthen MM, Novák T, O'Donovan C, Ozaki N, Ösby U, Pfennig A, Potash JB, Reif A, Reininghaus E, Rouleau GA, Rybakowski JK, Schalling M, Schofield PR, Schweizer BW, Severino G, Shilling PD, Shimoda K, Simhandl C, Slaney CM, Pisanu C, Squassina A, Stamm T, Stopkova P, Maj M, Turecki G, Vieta E, Veeh J, Witt SH, Wright A, Zandi PP, Mitchell PB, Bauer M, Alda M, Rietschel M, McMahon FJ, Schulze TG, Spadoni JL, Boukouaci W, Richard JR, Le Corvoisier P, Barrau C, Zagury JF, Leboyer M, and Tamouza R

Subjects
Adult, Alleles, Bipolar Disorder drug therapy, Female, Gene Frequency, Genetic Variation, Genotype, Haplotypes, Humans, Male, Middle Aged, Pharmacogenetics, Treatment Outcome, Bipolar Disorder genetics, Genetic Predisposition to Disease, HLA-DQ beta-Chains genetics, HLA-DRB1 Chains genetics, Lithium therapeutic use
Abstract

Bipolar affective disorder (BD) is a severe psychiatric illness, for which lithium (Li) is the gold standard for acute and maintenance therapies. The therapeutic response to Li in BD is heterogeneous and reliable biomarkers allowing patients stratification are still needed. A GWAS performed by the International Consortium on Lithium Genetics (ConLiGen) has recently identified genetic markers associated with treatment responses to Li in the human leukocyte antigens (HLA) region. To better understand the molecular mechanisms underlying this association, we have genetically imputed the classical alleles of the HLA region in the European patients of the ConLiGen cohort. We found our best signal for amino-acid variants belonging to the HLA-DRB1*11:01 classical allele, associated with a better response to Li (p < 1 × 10 -3 ; FDR < 0.09 in the recessive model). Alanine or Leucine at position 74 of the HLA-DRB1 heavy chain was associated with a good response while Arginine or Glutamic acid with a poor response. As these variants have been implicated in common inflammatory/autoimmune processes, our findings strongly suggest that HLA-mediated low inflammatory background may contribute to the efficient response to Li in BD patients, while an inflammatory status overriding Li anti-inflammatory properties would favor a weak response., (© 2021. The Author(s).)

Published
2021
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3. An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings: The PsyCourse Study.

Author

Dwyer DB, Kalman JL, Budde M, Kambeitz J, Ruef A, Antonucci LA, Kambeitz-Ilankovic L, Hasan A, Kondofersky I, Anderson-Schmidt H, Gade K, Reich-Erkelenz D, Adorjan K, Senner F, Schaupp S, Andlauer TFM, Comes AL, Schulte EC, Klöhn-Saghatolislam F, Gryaznova A, Hake M, Bartholdi K, Flatau-Nagel L, Reitt M, Quast S, Stegmaier S, Meyers M, Emons B, Haußleiter IS, Juckel G, Nieratschker V, Dannlowski U, Yoshida T, Schmauß M, Zimmermann J, Reimer J, Wiltfang J, Reininghaus E, Anghelescu IG, Arolt V, Baune BT, Konrad C, Thiel A, Fallgatter AJ, Figge C, von Hagen M, Koller M, Lang FU, Wigand ME, Becker T, Jäger M, Dietrich DE, Scherk H, Spitzer C, Folkerts H, Witt SH, Degenhardt F, Forstner AJ, Rietschel M, Nöthen MM, Mueller N, Papiol S, Heilbronner U, Falkai P, Schulze TG, and Koutsouleris N

Subjects
Adult, Bipolar Disorder genetics, Depressive Disorder, Major genetics, Educational Status, Female, Humans, Longitudinal Studies, Male, Middle Aged, Multifactorial Inheritance genetics, Prognosis, Psychotic Disorders diagnosis, Psychotic Disorders genetics, Psychotic Disorders psychology, Reproducibility of Results, Schizophrenia genetics, Genetic Predisposition to Disease genetics, Psychotic Disorders classification
Abstract

Importance: Identifying psychosis subgroups could improve clinical and research precision. Research has focused on symptom subgroups, but there is a need to consider a broader clinical spectrum, disentangle illness trajectories, and investigate genetic associations., Objective: To detect psychosis subgroups using data-driven methods and examine their illness courses over 1.5 years and polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement., Design, Setting, and Participants: This ongoing multisite, naturalistic, longitudinal (6-month intervals) cohort study began in January 2012 across 18 sites. Data from a referred sample of 1223 individuals (765 in the discovery sample and 458 in the validation sample) with DSM-IV diagnoses of schizophrenia, bipolar affective disorder (I/II), schizoaffective disorder, schizophreniform disorder, and brief psychotic disorder were collected from secondary and tertiary care sites. Discovery data were extracted in September 2016 and analyzed from November 2016 to January 2018, and prospective validation data were extracted in October 2018 and analyzed from January to May 2019., Main Outcomes and Measures: A clinical battery of 188 variables measuring demographic characteristics, clinical history, symptoms, functioning, and cognition was decomposed using nonnegative matrix factorization clustering. Subtype-specific illness courses were compared with mixed models and polygenic scores with analysis of covariance. Supervised learning was used to replicate results in validation data with the most reliably discriminative 45 variables., Results: Of the 765 individuals in the discovery sample, 341 (44.6%) were women, and the mean (SD) age was 42.7 (12.9) years. Five subgroups were found and labeled as affective psychosis (n = 252), suicidal psychosis (n = 44), depressive psychosis (n = 131), high-functioning psychosis (n = 252), and severe psychosis (n = 86). Illness courses with significant quadratic interaction terms were found for psychosis symptoms (R2 = 0.41; 95% CI, 0.38-0.44), depression symptoms (R2 = 0.28; 95% CI, 0.25-0.32), global functioning (R2 = 0.16; 95% CI, 0.14-0.20), and quality of life (R2 = 0.20; 95% CI, 0.17-0.23). The depressive and severe psychosis subgroups exhibited the lowest functioning and quadratic illness courses with partial recovery followed by reoccurrence of severe illness. Differences were found for educational attainment polygenic scores (mean [SD] partial η2 = 0.014 [0.003]) but not for diagnostic polygenic risk. Results were largely replicated in the validation cohort., Conclusions and Relevance: Psychosis subgroups were detected with distinctive clinical signatures and illness courses and specificity for a nondiagnostic genetic marker. New data-driven clinical approaches are important for future psychosis taxonomies. The findings suggest a need to consider short-term to medium-term service provision to restore functioning in patients stratified into the depressive and severe psychosis subgroups.

Published
2020
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4. Efficient region-based test strategy uncovers genetic risk factors for functional outcome in bipolar disorder.

Author

Budde M, Friedrichs S, Alliey-Rodriguez N, Ament S, Badner JA, Berrettini WH, Bloss CS, Byerley W, Cichon S, Comes AL, Coryell W, Craig DW, Degenhardt F, Edenberg HJ, Foroud T, Forstner AJ, Frank J, Gershon ES, Goes FS, Greenwood TA, Guo Y, Hipolito M, Hood L, Keating BJ, Koller DL, Lawson WB, Liu C, Mahon PB, McInnis MG, McMahon FJ, Meier SM, Mühleisen TW, Murray SS, Nievergelt CM, Nurnberger JI Jr, Nwulia EA, Potash JB, Quarless D, Rice J, Roach JC, Scheftner WA, Schork NJ, Shekhtman T, Shilling PD, Smith EN, Streit F, Strohmaier J, Szelinger S, Treutlein J, Witt SH, Zandi PP, Zhang P, Zöllner S, Bickeböller H, Falkai PG, Kelsoe JR, Nöthen MM, Rietschel M, Schulze TG, and Malzahn D

Subjects
Adolescent, Adult, Aged, Bipolar Disorder physiopathology, Bipolar Disorder psychology, Case-Control Studies, Female, Genome-Wide Association Study, Genotype, Haplotypes, Humans, Linkage Disequilibrium genetics, Male, Middle Aged, Models, Statistical, Polymorphism, Single Nucleotide genetics, Prognosis, Psychiatric Status Rating Scales, White People genetics, Young Adult, Bipolar Disorder diagnosis, Bipolar Disorder genetics, Genetic Predisposition to Disease genetics
Abstract

Genome-wide association studies of case-control status have advanced the understanding of the genetic basis of psychiatric disorders. Further progress may be gained by increasing sample size but also by new analysis strategies that advance the exploitation of existing data, especially for clinically important quantitative phenotypes. The functionally-informed efficient region-based test strategy (FIERS) introduced herein uses prior knowledge on biological function and dependence of genotypes within a powerful statistical framework with improved sensitivity and specificity for detecting consistent genetic effects across studies. As proof of concept, FIERS was used for the first genome-wide single nucleotide polymorphism (SNP)-based investigation on bipolar disorder (BD) that focuses on an important aspect of disease course, the functional outcome. FIERS identified a significantly associated locus on chromosome 15 (hg38: chr15:48965004 - 49464789 bp) with consistent effect strength between two independent studies (GAIN/TGen: European Americans, BOMA: Germans; n = 1592 BD patients in total). Protective and risk haplotypes were found on the most strongly associated SNPs. They contain a CTCF binding site (rs586758); CTCF sites are known to regulate sets of genes within a chromatin domain. The rs586758 - rs2086256 - rs1904317 haplotype is located in the promoter flanking region of the COPS2 gene, close to microRNA4716, and the EID1, SHC4, DTWD1 genes as plausible biological candidates. While implication with BD is novel, COPS2, EID1, and SHC4 are known to be relevant for neuronal differentiation and function and DTWD1 for psychopharmacological side effects. The test strategy FIERS that enabled this discovery is equally applicable for tag SNPs and sequence data., (Copyright © 2018 The Author(s). Published by Elsevier B.V. All rights reserved.)

Published
2019
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5. Shared genetic etiology between alcohol dependence and major depressive disorder.

Author

Foo JC, Streit F, Treutlein J, Ripke S, Witt SH, Strohmaier J, Degenhardt F, Forstner AJ, Hoffmann P, Soyka M, Dahmen N, Scherbaum N, Wodarz N, Heilmann-Heimbach S, Herms S, Cichon S, Preuss U, Gaebel W, Ridinger M, Hoffmann S, Schulze TG, Maier W, Zill P, Müller-Myhsok B, Ising M, Lucae S, Nöthen MM, Mann K, Kiefer F, Rietschel M, and Frank J

Subjects
Case-Control Studies, Genome-Wide Association Study, Germany, Humans, Male, Polymorphism, Single Nucleotide, Regression Analysis, Risk Factors, Alcoholism genetics, Depressive Disorder, Major genetics, Genetic Predisposition to Disease, Multifactorial Inheritance
Abstract

The clinical comorbidity of alcohol dependence (AD) and major depressive disorder (MDD) is well established, whereas genetic factors influencing co-occurrence remain unclear. A recent study using polygenic risk scores (PRS) calculated based on the first-wave Psychiatric Genomics Consortium MDD meta-analysis (PGC-MDD1) suggests a modest shared genetic contribution to MDD and AD. Using a (~10 fold) larger discovery sample, we calculated PRS based on the second wave (PGC-MDD2) of results, in a severe AD case–control target sample. We found significant associations between AD disease status and MDD-PRS derived from both PGC-MDD2 (most informative P-threshold=1.0, P=0.00063, R2=0.533%) and PGC-MDD1 (P-threshold=0.2, P=0.00014, R2=0.663%) meta-analyses; the larger discovery sample did not yield additional predictive power. In contrast, calculating PRS in a MDD target sample yielded increased power when using PGC-MDD2 (P-threshold=1.0, P=0.000038, R2=1.34%) versus PGC-MDD1 (P-threshold=1.0, P=0.0013, R2=0.81%). Furthermore, when calculating PGC-MDD2 PRS in a subsample of patients with AD recruited explicitly excluding comorbid MDD, significant associations were still found (n=331; P-threshold=1.0, P=0.042, R2=0.398%). Meanwhile, in the subset of patients in which MDD was not the explicit exclusion criteria, PRS predicted more variance (n=999; P-threshold=1.0, P=0.0003, R2=0.693%). Our findings replicate the reported genetic overlap between AD and MDD and also suggest the need for improved, rigorous phenotyping to identify true shared cross-disorder genetic factors. Larger target samples are needed to reduce noise and take advantage of increasing discovery sample size.

Published
2018
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6. Identification of a Bipolar Disorder Vulnerable Gene CHDH at 3p21.1.

Author

Chang H, Li L, Peng T, Grigoroiu-Serbanescu M, Bergen SE, Landén M, Hultman CM, Forstner AJ, Strohmaier J, Hecker J, Schulze TG, Müller-Myhsok B, Reif A, Mitchell PB, Martin NG, Cichon S, Nöthen MM, Jamain S, Leboyer M, Bellivier F, Etain B, Kahn JP, Henry C, Rietschel M, Xiao X, and Li M

Subjects
Adult, Brain metabolism, Chromosomes, Human, Pair 3, Female, Genome-Wide Association Study methods, Genotype, Humans, Linkage Disequilibrium, Male, Phenotype, Bipolar Disorder genetics, Choline Dehydrogenase genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide genetics
Abstract

Genome-wide analysis (GWA) is an effective strategy to discover extreme effects surpassing genome-wide significant levels in studying complex disorders; however, when sample size is limited, the true effects may fail to achieve genome-wide significance. In such case, there may be authentic results among the pools of nominal candidates, and an alternative approach is to consider nominal candidates but are replicable across different samples. Here, we found that mRNA expression of the choline dehydrogenase gene (CHDH) was uniformly upregulated in the brains of bipolar disorder (BPD) patients compared with healthy controls across different studies. Follow-up genetic analyses of CHDH variants in multiple independent clinical datasets (including 11,564 cases and 17,686 controls) identified a risk SNP rs9836592 showing consistent associations with BPD (P meta  = 5.72 × 10 -4 ), and the risk allele indicated an increased CHDH expression in multiple neuronal tissues (lowest P = 6.70 × 10 -16 ). These converging results may identify a nominal but true BPD susceptibility gene CHDH. Further exploratory analysis revealed suggestive associations of rs9836592 with childhood intelligence (P = 0.044) and educational attainment (P = 0.0039), a "proxy phenotype" of general cognitive abilities. Intriguingly, the CHDH gene is located at chromosome 3p21.1, a risk region implicated in previous BPD genome-wide association studies (GWAS), but CHDH is lying outside of the core GWAS linkage disequilibrium (LD) region, and our studied SNP rs9836592 is ∼1.2 Mb 3' downstream of the previous GWAS loci (e.g., rs2251219) with no LD between them; thus, the association observed here is unlikely a reflection of previous GWAS signals. In summary, our results imply that CHDH may play a previously unknown role in the etiology of BPD and also highlight the informative value of integrating gene expression and genetic code in advancing our understanding of its biological basis.

Published
2017
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7. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype.

Author

Direk N, Williams S, Smith JA, Ripke S, Air T, Amare AT, Amin N, Baune BT, Bennett DA, Blackwood DHR, Boomsma D, Breen G, Buttenschøn HN, Byrne EM, Børglum AD, Castelao E, Cichon S, Clarke TK, Cornelis MC, Dannlowski U, De Jager PL, Demirkan A, Domenici E, van Duijn CM, Dunn EC, Eriksson JG, Esko T, Faul JD, Ferrucci L, Fornage M, de Geus E, Gill M, Gordon SD, Grabe HJ, van Grootheest G, Hamilton SP, Hartman CA, Heath AC, Hek K, Hofman A, Homuth G, Horn C, Jan Hottenga J, Kardia SLR, Kloiber S, Koenen K, Kutalik Z, Ladwig KH, Lahti J, Levinson DF, Lewis CM, Lewis G, Li QS, Llewellyn DJ, Lucae S, Lunetta KL, MacIntyre DJ, Madden P, Martin NG, McIntosh AM, Metspalu A, Milaneschi Y, Montgomery GW, Mors O, Mosley TH Jr, Murabito JM, Müller-Myhsok B, Nöthen MM, Nyholt DR, O'Donovan MC, Penninx BW, Pergadia ML, Perlis R, Potash JB, Preisig M, Purcell SM, Quiroz JA, Räikkönen K, Rice JP, Rietschel M, Rivera M, Schulze TG, Shi J, Shyn S, Sinnamon GC, Smit JH, Smoller JW, Snieder H, Tanaka T, Tansey KE, Teumer A, Uher R, Umbricht D, Van der Auwera S, Ware EB, Weir DR, Weissman MM, Willemsen G, Yang J, Zhao W, Tiemeier H, and Sullivan PF

Subjects
Acid Anhydride Hydrolases genetics, Genome-Wide Association Study, Humans, Neoplasm Proteins genetics, Phenotype, White People genetics, Depression genetics, Depressive Disorder genetics, Genetic Loci, Genetic Predisposition to Disease
Abstract

Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder., Methods: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures., Results: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10 -9 ) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10 -9 )., Conclusions: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression., (Copyright © 2016 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

Published
2017
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8. Genome-wide Regional Heritability Mapping Identifies a Locus Within the TOX2 Gene Associated With Major Depressive Disorder.

Author

Zeng Y, Navarro P, Shirali M, Howard DM, Adams MJ, Hall LS, Clarke TK, Thomson PA, Smith BH, Murray A, Padmanabhan S, Hayward C, Boutin T, MacIntyre DJ, Lewis CM, Wray NR, Mehta D, Penninx BWJH, Milaneschi Y, Baune BT, Air T, Hottenga JJ, Mbarek H, Castelao E, Pistis G, Schulze TG, Streit F, Forstner AJ, Byrne EM, Martin NG, Breen G, Müller-Myhsok B, Lucae S, Kloiber S, Domenici E, Deary IJ, Porteous DJ, Haley CS, and McIntosh AM

Subjects
Cohort Studies, Female, Genetic Loci, Genome-Wide Association Study, Humans, Ireland, Male, Middle Aged, United Kingdom, Depressive Disorder, Major genetics, Genetic Predisposition to Disease, HMGB Proteins genetics, Haplotypes, Polymorphism, Single Nucleotide
Abstract

Background: Major depressive disorder (MDD) is the second largest cause of global disease burden. It has an estimated heritability of 37%, but published genome-wide association studies have so far identified few risk loci. Haplotype-block-based regional heritability mapping (HRHM) estimates the localized genetic variance explained by common variants within haplotype blocks, integrating the effects of multiple variants, and may be more powerful for identifying MDD-associated genomic regions., Methods: We applied HRHM to Generation Scotland: The Scottish Family Health Study, a large family- and population-based Scottish cohort (N = 19,896). Single-single nucleotide polymorphism (SNP) and haplotype-based association tests were used to localize the association signal within the regions identified by HRHM. Functional prediction was used to investigate the effect of MDD-associated SNPs within the regions., Results: A haplotype block across a 24-kb region within the TOX2 gene reached genome-wide significance in HRHM. Single-SNP- and haplotype-based association tests demonstrated that five of nine genotyped SNPs and two haplotypes within this block were significantly associated with MDD. The expression of TOX2 and a brain-specific long noncoding RNA RP1-269M15.3 in frontal cortex and nucleus accumbens basal ganglia, respectively, were significantly regulated by MDD-associated SNPs within this region. Both the regional heritability and single-SNP associations within this block were replicated in the UK-Ireland group of the most recent release of the Psychiatric Genomics Consortium (PGC), the PGC2-MDD (Major Depression Dataset). The SNP association was also replicated in a depressive symptom sample that shares some individuals with the PGC2-MDD., Conclusions: This study highlights the value of HRHM for MDD and provides an important target within TOX2 for further functional studies., (Copyright © 2017 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

Published
2017
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9. Identification of shared risk loci and pathways for bipolar disorder and schizophrenia.

Author

Forstner AJ, Hecker J, Hofmann A, Maaser A, Reinbold CS, Mühleisen TW, Leber M, Strohmaier J, Degenhardt F, Treutlein J, Mattheisen M, Schumacher J, Streit F, Meier S, Herms S, Hoffmann P, Lacour A, Witt SH, Reif A, Müller-Myhsok B, Lucae S, Maier W, Schwarz M, Vedder H, Kammerer-Ciernioch J, Pfennig A, Bauer M, Hautzinger M, Moebus S, Schenk LM, Fischer SB, Sivalingam S, Czerski PM, Hauser J, Lissowska J, Szeszenia-Dabrowska N, Brennan P, McKay JD, Wright A, Mitchell PB, Fullerton JM, Schofield PR, Montgomery GW, Medland SE, Gordon SD, Martin NG, Krasnov V, Chuchalin A, Babadjanova G, Pantelejeva G, Abramova LI, Tiganov AS, Polonikov A, Khusnutdinova E, Alda M, Cruceanu C, Rouleau GA, Turecki G, Laprise C, Rivas F, Mayoral F, Kogevinas M, Grigoroiu-Serbanescu M, Becker T, Schulze TG, Rietschel M, Cichon S, Fier H, and Nöthen MM

Subjects
Genetic Linkage, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Risk, Bipolar Disorder genetics, Bipolar Disorder metabolism, Genetic Predisposition to Disease, Quantitative Trait Loci, Schizophrenia genetics, Schizophrenia metabolism, Signal Transduction
Abstract

Bipolar disorder (BD) is a highly heritable neuropsychiatric disease characterized by recurrent episodes of mania and depression. BD shows substantial clinical and genetic overlap with other psychiatric disorders, in particular schizophrenia (SCZ). The genes underlying this etiological overlap remain largely unknown. A recent SCZ genome wide association study (GWAS) by the Psychiatric Genomics Consortium identified 128 independent genome-wide significant single nucleotide polymorphisms (SNPs). The present study investigated whether these SCZ-associated SNPs also contribute to BD development through the performance of association testing in a large BD GWAS dataset (9747 patients, 14278 controls). After re-imputation and correction for sample overlap, 22 of 107 investigated SCZ SNPs showed nominal association with BD. The number of shared SCZ-BD SNPs was significantly higher than expected (p = 1.46x10-8). This provides further evidence that SCZ-associated loci contribute to the development of BD. Two SNPs remained significant after Bonferroni correction. The most strongly associated SNP was located near TRANK1, which is a reported genome-wide significant risk gene for BD. Pathway analyses for all shared SCZ-BD SNPs revealed 25 nominally enriched gene-sets, which showed partial overlap in terms of the underlying genes. The enriched gene-sets included calcium- and glutamate signaling, neuropathic pain signaling in dorsal horn neurons, and calmodulin binding. The present data provide further insights into shared risk loci and disease-associated pathways for BD and SCZ. This may suggest new research directions for the treatment and prevention of these two major psychiatric disorders., Competing Interests: The authors have declared that no competing interests exist.

Published
2017
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10. Convergent Lines of Evidence Support LRP8 as a Susceptibility Gene for Psychosis.

Author

Li M, Huang L, Grigoroiu-Serbanescu M, Bergen SE, Landén M, Hultman CM, Forstner AJ, Strohmaier J, Hecker J, Schulze TG, Müller-Myhsok B, Reif A, Mitchell PB, Martin NG, Cichon S, Nöthen MM, Alkelai A, Lerer B, Jamain S, Leboyer M, Bellivier F, Etain B, Kahn JP, Henry C, and Rietschel M

Subjects
Bipolar Disorder genetics, Brain pathology, Chromosomes, Human genetics, Fetus pathology, Gene Expression Profiling, Gene Frequency genetics, Genome-Wide Association Study, Humans, LDL-Receptor Related Proteins metabolism, Linkage Disequilibrium genetics, Odds Ratio, Polymorphism, Single Nucleotide genetics, Protein Interaction Maps genetics, RNA, Messenger genetics, RNA, Messenger metabolism, Reelin Protein, Risk Factors, Schizophrenia genetics, Time Factors, Genetic Predisposition to Disease, LDL-Receptor Related Proteins genetics, Psychotic Disorders genetics
Abstract

Reelin (RELN) is identified as a risk gene for major psychiatric disorders such as schizophrenia (SCZ) and bipolar disorder (BPD). However, the role of its downstream signaling molecule, the low-density lipoprotein receptor-related protein 8 (LRP8) in these illnesses is still unclear. To detect whether LRP8 is a susceptibility gene for SCZ and BPD, we analyzed the associations of single nucleotide polymorphisms (SNPs) in LRP8 in a total of 47,187 subjects (including 9379 SCZ patients; 6990 BPD patients; and 12,556 controls in a screening sample, and 1397 SCZ families, 3947 BPD patients, and 8387 controls in independent replications), and identified a non-synonymous SNP rs5174 in LRP8 significantly associated with SCZ and BPD as well as the combined psychosis phenotype (P meta  = 1.99 × 10 -5 , odds ratio (OR) = 1.066, 95 % confidence interval (CI) = 1.035-1.098). The risk SNP rs5174 was also associated with LRP8 messenger RNA (mRNA) expression in multiple brain tissues across independent samples (lowest P = 0.00005). Further exploratory analysis revealed that LRP8 was preferentially expressed in fetal brain tissues. Protein-protein interaction (PPI) analysis demonstrated that LRP8 significantly participated in a highly interconnected PPI network build by top risk genes for SCZ and BPD (P = 7.0 × 10 -4 ). Collectively, we confirmed that LRP8 is a risk gene for psychosis, and our results provide useful information toward a better understanding of genetic mechanism involving LRP8 underlying risk of complex psychiatric disorders.

Published
2016
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11. The inverse link between genetic risk for schizophrenia and migraine through NMDA (N-methyl-D-aspartate) receptor activation via D-serine.

Author

Van der Auwera S, Teumer A, Hertel J, Homuth G, Völker U, Lucht MJ, Degenhardt F, Schulze T, Rietschel M, Nöthen MM, John U, Nauck M, and Grabe HJ

Subjects
Epistasis, Genetic, Female, Genetic Association Studies, Humans, Male, Middle Aged, Migraine Disorders metabolism, Multifactorial Inheritance, Quantitative Trait Loci, Receptors, N-Methyl-D-Aspartate metabolism, Schizophrenia metabolism, Serine metabolism, Genetic Predisposition to Disease, Migraine Disorders genetics, Polymorphism, Single Nucleotide, Racemases and Epimerases genetics, Schizophrenia genetics
Abstract

Schizophrenia has a considerable genetic background. Epidemiological studies suggest an inverse clinical association between schizophrenia and migraine. However, it is unclear to what extent this inverse comorbidity can be explained by genetic mechanisms or by schizophrenia-related behavioral factors. For both disorders hypotheses of glutamate N-methyl-D-aspartate (NMDA) receptor dysfunction have been developed in the past. We hypothesized that both conditions share common genetic factors with inverse effects, primary in the glutamatergic system and genes involved in NMDA activation. Data from the population based Study of Health in Pomerania (N=3973) were used. Based on the results from the recent genome-wide association study for schizophrenia, we calculated polygenic scores (PRS) for subsets of SNPs with different p-value cutoffs and for biological sub-entities. These scores were tested for an association of distinct biological pathways with migraine. The PRS for schizophrenia was inversely associated with migraine in our sample. This association was exclusively based on the genome-wide hits and on single nucleotide polymorphisms near or within genes encoding proteins involved in glutamatergic neurotransmission. This association could be attributed to a single intronic variant rs4523957 in SRR encoding serine-racemase. Additional expression quantitative trait loci analyses of functional variants in SRR and gene-by-gene interaction analyses further supported the validity of this finding. SRR represents the rate limiting enzyme for the synthesis of D-serine, an important co-agonist of the NMDA receptor. According to our results, a decreased versus increased activation of NMDA receptors may play a role in the etiology of schizophrenia, as well as in migraine., (Copyright © 2016 Elsevier B.V. and ECNP. All rights reserved.)

Published
2016
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13. Common and rare variant analysis in early-onset bipolar disorder vulnerability.

Author

Jamain S, Cichon S, Etain B, Mühleisen TW, Georgi A, Zidane N, Chevallier L, Deshommes J, Nicolas A, Henrion A, Degenhardt F, Mattheisen M, Priebe L, Mathieu F, Kahn JP, Henry C, Boland A, Zelenika D, Gut I, Heath S, Lathrop M, Maier W, Albus M, Rietschel M, Schulze TG, McMahon FJ, Kelsoe JR, Hamshere M, Craddock N, Nöthen MM, Bellivier F, and Leboyer M

Subjects
Age of Onset, Cohort Studies, Female, Humans, Male, White People genetics, Young Adult, Bipolar Disorder epidemiology, Bipolar Disorder genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Polymorphism, Single Nucleotide
Abstract

Bipolar disorder is one of the most common and devastating psychiatric disorders whose mechanisms remain largely unknown. Despite a strong genetic contribution demonstrated by twin and adoption studies, a polygenic background influences this multifactorial and heterogeneous psychiatric disorder. To identify susceptibility genes on a severe and more familial sub-form of the disease, we conducted a genome-wide association study focused on 211 patients of French origin with an early age at onset and 1,719 controls, and then replicated our data on a German sample of 159 patients with early-onset bipolar disorder and 998 controls. Replication study and subsequent meta-analysis revealed two genes encoding proteins involved in phosphoinositide signalling pathway (PLEKHA5 and PLCXD3). We performed additional replication studies in two datasets from the WTCCC (764 patients and 2,938 controls) and the GAIN-TGen cohorts (1,524 patients and 1,436 controls) and found nominal P-values both in the PLCXD3 and PLEKHA5 loci with the WTCCC sample. In addition, we identified in the French cohort one affected individual with a deletion at the PLCXD3 locus and another one carrying a missense variation in PLCXD3 (p.R93H), both supporting a role of the phosphatidylinositol pathway in early-onset bipolar disorder vulnerability. Although the current nominally significant findings should be interpreted with caution and need replication in independent cohorts, this study supports the strategy to combine genetic approaches to determine the molecular mechanisms underlying bipolar disorder.

Published
2014
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14. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.

Author

Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, Mowry BJ, Thapar A, Goddard ME, Witte JS, Absher D, Agartz I, Akil H, Amin F, Andreassen OA, Anjorin A, Anney R, Anttila V, Arking DE, Asherson P, Azevedo MH, Backlund L, Badner JA, Bailey AJ, Banaschewski T, Barchas JD, Barnes MR, Barrett TB, Bass N, Battaglia A, Bauer M, Bayés M, Bellivier F, Bergen SE, Berrettini W, Betancur C, Bettecken T, Biederman J, Binder EB, Black DW, Blackwood DH, Bloss CS, Boehnke M, Boomsma DI, Breen G, Breuer R, Bruggeman R, Cormican P, Buccola NG, Buitelaar JK, Bunney WE, Buxbaum JD, Byerley WF, Byrne EM, Caesar S, Cahn W, Cantor RM, Casas M, Chakravarti A, Chambert K, Choudhury K, Cichon S, Cloninger CR, Collier DA, Cook EH, Coon H, Cormand B, Corvin A, Coryell WH, Craig DW, Craig IW, Crosbie J, Cuccaro ML, Curtis D, Czamara D, Datta S, Dawson G, Day R, De Geus EJ, Degenhardt F, Djurovic S, Donohoe GJ, Doyle AE, Duan J, Dudbridge F, Duketis E, Ebstein RP, Edenberg HJ, Elia J, Ennis S, Etain B, Fanous A, Farmer AE, Ferrier IN, Flickinger M, Fombonne E, Foroud T, Frank J, Franke B, Fraser C, Freedman R, Freimer NB, Freitag CM, Friedl M, Frisén L, Gallagher L, Gejman PV, Georgieva L, Gershon ES, Geschwind DH, Giegling I, Gill M, Gordon SD, Gordon-Smith K, Green EK, Greenwood TA, Grice DE, Gross M, Grozeva D, Guan W, Gurling H, De Haan L, Haines JL, Hakonarson H, Hallmayer J, Hamilton SP, Hamshere ML, Hansen TF, Hartmann AM, Hautzinger M, Heath AC, Henders AK, Herms S, Hickie IB, Hipolito M, Hoefels S, Holmans PA, Holsboer F, Hoogendijk WJ, Hottenga JJ, Hultman CM, Hus V, Ingason A, Ising M, Jamain S, Jones EG, Jones I, Jones L, Tzeng JY, Kähler AK, Kahn RS, Kandaswamy R, Keller MC, Kennedy JL, Kenny E, Kent L, Kim Y, Kirov GK, Klauck SM, Klei L, Knowles JA, Kohli MA, Koller DL, Konte B, Korszun A, Krabbendam L, Krasucki R, Kuntsi J, Kwan P, Landén M, Långström N, Lathrop M, Lawrence J, Lawson WB, Leboyer M, Ledbetter DH, Lee PH, Lencz T, Lesch KP, Levinson DF, Lewis CM, Li J, Lichtenstein P, Lieberman JA, Lin DY, Linszen DH, Liu C, Lohoff FW, Loo SK, Lord C, Lowe JK, Lucae S, MacIntyre DJ, Madden PA, Maestrini E, Magnusson PK, Mahon PB, Maier W, Malhotra AK, Mane SM, Martin CL, Martin NG, Mattheisen M, Matthews K, Mattingsdal M, McCarroll SA, McGhee KA, McGough JJ, McGrath PJ, McGuffin P, McInnis MG, McIntosh A, McKinney R, McLean AW, McMahon FJ, McMahon WM, McQuillin A, Medeiros H, Medland SE, Meier S, Melle I, Meng F, Meyer J, Middeldorp CM, Middleton L, Milanova V, Miranda A, Monaco AP, Montgomery GW, Moran JL, Moreno-De-Luca D, Morken G, Morris DW, Morrow EM, Moskvina V, Muglia P, Mühleisen TW, Muir WJ, Müller-Myhsok B, Murtha M, Myers RM, Myin-Germeys I, Neale MC, Nelson SF, Nievergelt CM, Nikolov I, Nimgaonkar V, Nolen WA, Nöthen MM, Nurnberger JI, Nwulia EA, Nyholt DR, O'Dushlaine C, Oades RD, Olincy A, Oliveira G, Olsen L, Ophoff RA, Osby U, Owen MJ, Palotie A, Parr JR, Paterson AD, Pato CN, Pato MT, Penninx BW, Pergadia ML, Pericak-Vance MA, Pickard BS, Pimm J, Piven J, Posthuma D, Potash JB, Poustka F, Propping P, Puri V, Quested DJ, Quinn EM, Ramos-Quiroga JA, Rasmussen HB, Raychaudhuri S, Rehnström K, Reif A, Ribasés M, Rice JP, Rietschel M, Roeder K, Roeyers H, Rossin L, Rothenberger A, Rouleau G, Ruderfer D, Rujescu D, Sanders AR, Sanders SJ, Santangelo SL, Sergeant JA, Schachar R, Schalling M, Schatzberg AF, Scheftner WA, Schellenberg GD, Scherer SW, Schork NJ, Schulze TG, Schumacher J, Schwarz M, Scolnick E, Scott LJ, Shi J, Shilling PD, Shyn SI, Silverman JM, Slager SL, Smalley SL, Smit JH, Smith EN, Sonuga-Barke EJ, St Clair D, State M, Steffens M, Steinhausen HC, Strauss JS, Strohmaier J, Stroup TS, Sutcliffe JS, Szatmari P, Szelinger S, Thirumalai S, Thompson RC, Todorov AA, Tozzi F, Treutlein J, Uhr M, van den Oord EJ, Van Grootheest G, Van Os J, Vicente AM, Vieland VJ, Vincent JB, Visscher PM, Walsh CA, Wassink TH, Watson SJ, Weissman MM, Werge T, Wienker TF, Wijsman EM, Willemsen G, Williams N, Willsey AJ, Witt SH, Xu W, Young AH, Yu TW, Zammit S, Zandi PP, Zhang P, Zitman FG, Zöllner S, Devlin B, Kelsoe JR, Sklar P, Daly MJ, O'Donovan MC, Craddock N, Sullivan PF, Smoller JW, Kendler KS, and Wray NR

Subjects
Adult, Attention Deficit Disorder with Hyperactivity genetics, Bipolar Disorder genetics, Child, Child Development Disorders, Pervasive genetics, Crohn Disease genetics, Depressive Disorder, Major genetics, Genetic Heterogeneity, Genome, Human, Humans, Inheritance Patterns, Schizophrenia genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Mental Disorders genetics, Polymorphism, Single Nucleotide
Abstract

Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.

Published
2013
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15. A mega-analysis of genome-wide association studies for major depressive disorder.

Author

Ripke S, Wray NR, Lewis CM, Hamilton SP, Weissman MM, Breen G, Byrne EM, Blackwood DH, Boomsma DI, Cichon S, Heath AC, Holsboer F, Lucae S, Madden PA, Martin NG, McGuffin P, Muglia P, Noethen MM, Penninx BP, Pergadia ML, Potash JB, Rietschel M, Lin D, Müller-Myhsok B, Shi J, Steinberg S, Grabe HJ, Lichtenstein P, Magnusson P, Perlis RH, Preisig M, Smoller JW, Stefansson K, Uher R, Kutalik Z, Tansey KE, Teumer A, Viktorin A, Barnes MR, Bettecken T, Binder EB, Breuer R, Castro VM, Churchill SE, Coryell WH, Craddock N, Craig IW, Czamara D, De Geus EJ, Degenhardt F, Farmer AE, Fava M, Frank J, Gainer VS, Gallagher PJ, Gordon SD, Goryachev S, Gross M, Guipponi M, Henders AK, Herms S, Hickie IB, Hoefels S, Hoogendijk W, Hottenga JJ, Iosifescu DV, Ising M, Jones I, Jones L, Jung-Ying T, Knowles JA, Kohane IS, Kohli MA, Korszun A, Landen M, Lawson WB, Lewis G, Macintyre D, Maier W, Mattheisen M, McGrath PJ, McIntosh A, McLean A, Middeldorp CM, Middleton L, Montgomery GM, Murphy SN, Nauck M, Nolen WA, Nyholt DR, O'Donovan M, Oskarsson H, Pedersen N, Scheftner WA, Schulz A, Schulze TG, Shyn SI, Sigurdsson E, Slager SL, Smit JH, Stefansson H, Steffens M, Thorgeirsson T, Tozzi F, Treutlein J, Uhr M, van den Oord EJ, Van Grootheest G, Völzke H, Weilburg JB, Willemsen G, Zitman FG, Neale B, Daly M, Levinson DF, and Sullivan PF

Subjects
Bipolar Disorder genetics, Case-Control Studies, Female, Humans, Male, Polymorphism, Single Nucleotide genetics, White People genetics, Depressive Disorder, Major genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study statistics & numerical data
Abstract

Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18 759 independent and unrelated subjects of recent European ancestry (9240 MDD cases and 9519 controls). In the MDD replication phase, we evaluated 554 SNPs in independent samples (6783 MDD cases and 50 695 controls). We also conducted a cross-disorder meta-analysis using 819 autosomal SNPs with P<0.0001 for either MDD or the Psychiatric GWAS Consortium bipolar disorder (BIP) mega-analysis (9238 MDD cases/8039 controls and 6998 BIP cases/7775 controls). No SNPs achieved genome-wide significance in the MDD discovery phase, the MDD replication phase or in pre-planned secondary analyses (by sex, recurrent MDD, recurrent early-onset MDD, age of onset, pre-pubertal onset MDD or typical-like MDD from a latent class analyses of the MDD criteria). In the MDD-bipolar cross-disorder analysis, 15 SNPs exceeded genome-wide significance (P<5 × 10(-8)), and all were in a 248 kb interval of high LD on 3p21.1 (chr3:52 425 083-53 822 102, minimum P=5.9 × 10(-9) at rs2535629). Although this is the largest genome-wide analysis of MDD yet conducted, its high prevalence means that the sample is still underpowered to detect genetic effects typical for complex traits. Therefore, we were unable to identify robust and replicable findings. We discuss what this means for genetic research for MDD. The 3p21.1 MDD-BIP finding should be interpreted with caution as the most significant SNP did not replicate in MDD samples, and genotyping in independent samples will be needed to resolve its status.

Published
2013
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16. No evidence for an involvement of copy number variation in ABCA13 in schizophrenia, bipolar disorder, or major depressive disorder.

Author

Degenhardt F, Priebe L, Strohmaier J, Herms S, Hoffmann P, Mattheisen M, Mössner R, Nenadic I, Sauer H, Rujescu D, Maier W, Schulze TG, Rietschel M, Nöthen MM, and Cichon S

Subjects
Case-Control Studies, Humans, ATP-Binding Cassette Transporters genetics, Bipolar Disorder genetics, DNA Copy Number Variations genetics, Depressive Disorder, Major genetics, Genetic Predisposition to Disease, Schizophrenia genetics
Published
2013
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17. Meta-analysis and brain imaging data support the involvement of VRK2 (rs2312147) in schizophrenia susceptibility.

Author

Li M, Wang Y, Zheng XB, Ikeda M, Iwata N, Luo XJ, Chong SA, Lee J, Rietschel M, Zhang F, Müller-Myhsok B, Cichon S, Weinberger DR, Mattheisen M, Schulze TG, Martin NG, Mitchell PB, Schofield PR, Liu JJ, and Su B

Subjects
Adult, Asian People, Case-Control Studies, Female, Genetic Association Studies, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, White People, Young Adult, Brain pathology, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide genetics, Protein Serine-Threonine Kinases genetics, Schizophrenia genetics, Schizophrenia pathology
Abstract

Recent genome-wide association studies have reported a set of schizophrenia susceptibility genes, but many of them await further replications in additional samples. Here we analyzed 5 genome-wide supported variants in a Han Chinese sample, and the variant rs2312147 at VRK2 showed significant association, which was confirmed in the meta-analysis combining multiple Asian and European samples (P=3.17×10(-4), N=7498). Rs2312147 is also associated with brain structure in healthy subjects, including the total brain volume and the white matter volume. Gene expression analyses indicated an up-regulation of VRK2 in schizophrenia patients. Our data provide further evidence for the contribution of VRK2 to schizophrenia., (Copyright © 2012 Elsevier B.V. All rights reserved.)

Published
2012
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18. Genetic variation at the synaptic vesicle gene SV2A is associated with schizophrenia.

Author

Mattheisen M, Mühleisen TW, Strohmaier J, Treutlein J, Nenadic I, Alblas M, Meier S, Degenhardt F, Herms S, Hoffmann P, Witt SH, Giegling I, Sauer H, Schulze TG, Rujescu D, Nöthen MM, Rietschel M, and Cichon S

Subjects
Adult, Female, Follow-Up Studies, Gene Frequency, Genetic Association Studies, Genotype, Germany, Humans, Linkage Disequilibrium, Male, Middle Aged, Genetic Predisposition to Disease, Membrane Glycoproteins genetics, Nerve Tissue Proteins genetics, Polymorphism, Single Nucleotide genetics, Schizophrenia genetics
Abstract

Convergent evidence from pharmacological and animal studies suggests a possible role for the synaptic vesicle glycoprotein 2A gene (SV2A) in schizophrenia susceptibility. To test systematically all common variants in the SV2A gene region for an association with schizophrenia, we used a HapMap-based haplotype tagging approach and tested five SNPs in 794 patients and 843 controls. The SNP rs15931 showed evidence for an association with schizophrenia and was followed-up in an independent sample of 2581 individuals (overall p-value=0.0042, OR=0.779). Our study in the German population provides evidence, at a genetic level, for the involvement of the SV2A gene region in schizophrenia., (Copyright © 2012 Elsevier B.V. All rights reserved.)

Published
2012
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19. Association between schizophrenia and common variation in neurocan (NCAN), a genetic risk factor for bipolar disorder.

Author

Mühleisen TW, Mattheisen M, Strohmaier J, Degenhardt F, Priebe L, Schultz CC, Breuer R, Meier S, Hoffmann P, Rivandeneira F, Hofman A, Uitterlinden AG, Moebus S, Gieger C, Emeny R, Ladwig KH, Wichmann HE, Schwarz M, Kammerer-Ciernioch J, Schlösser RG, Nenadic I, Sauer H, Mössner R, Maier W, Rujescu D, Lange C, Ophoff RA, Schulze TG, Rietschel M, Nöthen MM, and Cichon S

Subjects
Bipolar Disorder genetics, Case-Control Studies, Gene Frequency, Genotype, Humans, Neurocan, Chondroitin Sulfate Proteoglycans genetics, Genetic Predisposition to Disease, Lectins, C-Type genetics, Nerve Tissue Proteins genetics, Polymorphism, Single Nucleotide, Schizophrenia genetics
Abstract

A recent study found genome-wide significant association between common variation in the gene neurocan (NCAN, rs1064395) and bipolar disorder (BD). In view of accumulating evidence that BD and schizophrenia partly share genetic risk factors, we tested this single-nucleotide polymorphism for association with schizophrenia in three independent patient-control samples of European ancestry, totaling 5061 patients and 9655 controls. The rs1064395 A-allele, which confers risk for BD, was significantly over-represented in schizophrenia patients compared to controls (p=2.28×10(-3); odds ratio=1.11). Follow-up in non-overlapping samples from the Schizophrenia Psychiatric GWAS Consortium (5537 patients, 8043 controls) provided further support for our finding (p=0.0239, odds ratio=1.07). Our data suggest that genetic variation in NCAN is a common risk factor for BD and schizophrenia., (Copyright © 2012 Elsevier B.V. All rights reserved.)

Published
2012
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20. Segment-wise genome-wide association analysis identifies a candidate region associated with schizophrenia in three independent samples.

Author

Gladwin TE, Derks EM, Rietschel M, Mattheisen M, Breuer R, Schulze TG, Nöthen MM, Levinson D, Shi J, Gejman PV, Cichon S, and Ophoff RA

Subjects
Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 5, Humans, Genetic Predisposition to Disease, Genome-Wide Association Study, Schizophrenia genetics
Abstract

Recent studies suggest that variation in complex disorders (e.g., schizophrenia) is explained by a large number of genetic variants with small effect size (Odds Ratio ≈ 1.05-1.1). The statistical power to detect these genetic variants in Genome Wide Association (GWA) studies with large numbers of cases and controls (v 15,000) is still low. As it will be difficult to further increase sample size, we decided to explore an alternative method for analyzing GWA data in a study of schizophrenia, dramatically reducing the number of statistical tests. The underlying hypothesis was that at least some of the genetic variants related to a common outcome are collocated in segments of chromosomes at a wider scale than single genes. Our approach was therefore to study the association between relatively large segments of DNA and disease status. An association test was performed for each SNP and the number of nominally significant tests in a segment was counted. We then performed a permutation-based binomial test to determine whether this region contained significantly more nominally significant SNPs than expected under the null hypothesis of no association, taking linkage into account. Genome Wide Association data of three independent schizophrenia case/control cohorts with European ancestry (Dutch, German, and US) using segments of DNA with variable length (2 to 32 Mbp) was analyzed. Using this approach we identified a region at chromosome 5q23.3-q31.3 (128-160 Mbp) that was significantly enriched with nominally associated SNPs in three independent case-control samples. We conclude that considering relatively wide segments of chromosomes may reveal reliable relationships between the genome and schizophrenia, suggesting novel methodological possibilities as well as raising theoretical questions.

Published
2012
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21. Association study of the GRIA1 and CLINT1 (Epsin 4) genes in a German schizophrenia sample.

Author

Leon CA, Schumacher J, Kluck N, Herold C, Schulze TG, Propping P, Rietschel M, Cichon S, Nöthen MM, and Jamra RA

Subjects
Adult, Case-Control Studies, Female, Germany, Haplotypes genetics, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide genetics, Adaptor Proteins, Vesicular Transport genetics, Genetic Predisposition to Disease, Receptors, AMPA genetics, Schizophrenia genetics
Published
2011
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22. Genome-wide association study identifies genetic variation in neurocan as a susceptibility factor for bipolar disorder.

Author

Cichon S, Mühleisen TW, Degenhardt FA, Mattheisen M, Miró X, Strohmaier J, Steffens M, Meesters C, Herms S, Weingarten M, Priebe L, Haenisch B, Alexander M, Vollmer J, Breuer R, Schmäl C, Tessmann P, Moebus S, Wichmann HE, Schreiber S, Müller-Myhsok B, Lucae S, Jamain S, Leboyer M, Bellivier F, Etain B, Henry C, Kahn JP, Heath S, Hamshere M, O'Donovan MC, Owen MJ, Craddock N, Schwarz M, Vedder H, Kammerer-Ciernioch J, Reif A, Sasse J, Bauer M, Hautzinger M, Wright A, Mitchell PB, Schofield PR, Montgomery GW, Medland SE, Gordon SD, Martin NG, Gustafsson O, Andreassen O, Djurovic S, Sigurdsson E, Steinberg S, Stefansson H, Stefansson K, Kapur-Pojskic L, Oruc L, Rivas F, Mayoral F, Chuchalin A, Babadjanova G, Tiganov AS, Pantelejeva G, Abramova LI, Grigoroiu-Serbanescu M, Diaconu CC, Czerski PM, Hauser J, Zimmer A, Lathrop M, Schulze TG, Wienker TF, Schumacher J, Maier W, Propping P, Rietschel M, and Nöthen MM

Subjects
Animals, Brain pathology, Case-Control Studies, Follow-Up Studies, Humans, Mice, Polymorphism, Single Nucleotide genetics, Reproducibility of Results, Bipolar Disorder genetics, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Neurocan genetics
Abstract

We conducted a genome-wide association study (GWAS) and a follow-up study of bipolar disorder (BD), a common neuropsychiatric disorder. In the GWAS, we investigated 499,494 autosomal and 12,484 X-chromosomal SNPs in 682 patients with BD and in 1300 controls. In the first follow-up step, we tested the most significant 48 SNPs in 1729 patients with BD and in 2313 controls. Eight SNPs showed nominally significant association with BD and were introduced to a meta-analysis of the GWAS and the first follow-up samples. Genetic variation in the neurocan gene (NCAN) showed genome-wide significant association with BD in 2411 patients and 3613 controls (rs1064395, p = 3.02 × 10(-8); odds ratio = 1.31). In a second follow-up step, we replicated this finding in independent samples of BD, totaling 6030 patients and 31,749 controls (p = 2.74 × 10(-4); odds ratio = 1.12). The combined analysis of all study samples yielded a p value of 2.14 × 10(-9) (odds ratio = 1.17). Our results provide evidence that rs1064395 is a common risk factor for BD. NCAN encodes neurocan, an extracellular matrix glycoprotein, which is thought to be involved in cell adhesion and migration. We found that expression in mice is localized within cortical and hippocampal areas. These areas are involved in cognition and emotion regulation and have previously been implicated in BD by neuropsychological, neuroimaging, and postmortem studies., (Copyright © 2011 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)

Published
2011
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23. The catechol-O-methyl transferase (COMT) gene and its potential association with schizophrenia: findings from a large German case-control and family-based sample.

Author

Nieratschker V, Frank J, Mühleisen TW, Strohmaier J, Wendland JR, Schumacher J, Treutlein J, Breuer R, Abou Jamra R, Mattheisen M, Herms S, Schmäl C, Maier W, Nöthen MM, Cichon S, Rietschel M, and Schulze TG

Subjects
Adult, Case-Control Studies, Cognition Disorders etiology, Cognition Disorders genetics, Depressive Disorder, Major genetics, Female, Gene Frequency, Genome-Wide Association Study, Genotype, Germany, Humans, Male, Middle Aged, Neuropsychological Tests, Schizophrenia complications, Catechol O-Methyltransferase genetics, Family Health, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide genetics, Schizophrenia genetics
Abstract

The aim of the present study was to investigate possible associations between schizophrenia and 13 SNP markers in COMT. No association was observed in 631 cases, 207 nuclear families, and 776 controls. A cognitive performance phenotype (Trail Marking Test) was available for a subgroup of the patients. No association was found between the 13 markers and this phenotype. Four clinically-defined subgroups (early age at onset, negative symptoms, family history of schizophrenia, and life-time major depressive episode) were also investigated. Associations were observed for 3 of these subgroups, although none withstood correction for multiple testing. COMT does not appear to be a risk factor for schizophrenia in this population., ((c) 2010 Elsevier B.V. All rights reserved.)

Published
2010
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24. A reappraisal of the association between Dysbindin (DTNBP1) and schizophrenia in a large combined case-control and family-based sample of German ancestry.

Author

Strohmaier J, Frank J, Wendland JR, Schumacher J, Jamra RA, Treutlein J, Nieratschker V, Breuer R, Mattheisen M, Herms S, Mühleisen TW, Maier W, Nöthen MM, Cichon S, Rietschel M, and Schulze TG

Subjects
Adult, Case-Control Studies, Catechol O-Methyltransferase genetics, Dysbindin, Dystrophin-Associated Proteins, Female, Gene Frequency, Genome-Wide Association Study, Genotype, Germany ethnology, Humans, Male, Middle Aged, Neuropsychological Tests, Schizophrenic Psychology, Carrier Proteins genetics, Family Health, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide genetics, Schizophrenia genetics
Abstract

Background: Dysbindin (DTNBP1) is a widely studied candidate gene for schizophrenia (SCZ); however, inconsistent results across studies triggered skepticism towards the validity of the findings. In this HapMap-based study, we reappraised the association between Dysbindin and SCZ in a large sample of German ethnicity., Method: Six hundred thirty-four cases with DSM-IV SCZ, 776 controls, and 180 parent-offspring trios were genotyped for 38 Dysbindin SNPs. We also studied two phenotypically-defined subsamples: 147 patients with a positive family history of SCZ (FH-SCZ+) and SCZ patients characterized for cognitive performance with Trail-Making Tests A and B (TMT-A: n=219; TMT-B: n=247). Given previous evidence of gene-gene interactions in SCZ involving the COMT gene, we also assessed epistatic interactions between Dysbindin markers and 14 SNPs in COMT., Results: No association was detected between Dysbindin markers and SCZ, or in the FH-SCZ+ subgroup. Only one marker (rs1047631, previously reported to be part of a risk haplotype), showed a nominally significant association with performance on TMT-A and TMT-B; these findings did not remain significant after correction for multiple comparisons. Similarly, no pair-wise epistatic interactions between Dysbindin and COMT markers remained significant after correction for 504 pair-wise comparisons., Conclusions: Our results, based on one of the largest samples of European Caucasians and using narrowly-defined criteria for SCZ, do not support the etiological involvement of Dysbindin markers in SCZ. Larger samples may be needed in order to unravel Dysbindin's possible role in the genetic basis of proposed intermediate phenotypes of SCZ or to detect epistatic interactions., (Published by Elsevier B.V.)

Published
2010
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25. Meta-analysis of genome-wide association data identifies a risk locus for major mood disorders on 3p21.1.

Author

McMahon FJ, Akula N, Schulze TG, Muglia P, Tozzi F, Detera-Wadleigh SD, Steele CJ, Breuer R, Strohmaier J, Wendland JR, Mattheisen M, Mühleisen TW, Maier W, Nöthen MM, Cichon S, Farmer A, Vincent JB, Holsboer F, Preisig M, and Rietschel M

Subjects
Humans, Polymorphism, Single Nucleotide genetics, Chromosomes, Human, Pair 3 genetics, Genetic Loci genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Mood Disorders genetics
Abstract

The major mood disorders, which include bipolar disorder and major depressive disorder (MDD), are considered heritable traits, although previous genetic association studies have had limited success in robustly identifying risk loci. We performed a meta-analysis of five case-control cohorts for major mood disorder, including over 13,600 individuals genotyped on high-density SNP arrays. We identified SNPs at 3p21.1 associated with major mood disorders (rs2251219, P = 3.63 x 10(-8); odds ratio = 0.87; 95% confidence interval, 0.83-0.92), with supportive evidence for association observed in two out of three independent replication cohorts. These results provide an example of a shared genetic susceptibility locus for bipolar disorder and MDD.

Published
2010
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26. Microduplications of 16p11.2 are associated with schizophrenia.

Author

McCarthy SE, Makarov V, Kirov G, Addington AM, McClellan J, Yoon S, Perkins DO, Dickel DE, Kusenda M, Krastoshevsky O, Krause V, Kumar RA, Grozeva D, Malhotra D, Walsh T, Zackai EH, Kaplan P, Ganesh J, Krantz ID, Spinner NB, Roccanova P, Bhandari A, Pavon K, Lakshmi B, Leotta A, Kendall J, Lee YH, Vacic V, Gary S, Iakoucheva LM, Crow TJ, Christian SL, Lieberman JA, Stroup TS, Lehtimäki T, Puura K, Haldeman-Englert C, Pearl J, Goodell M, Willour VL, Derosse P, Steele J, Kassem L, Wolff J, Chitkara N, McMahon FJ, Malhotra AK, Potash JB, Schulze TG, Nöthen MM, Cichon S, Rietschel M, Leibenluft E, Kustanovich V, Lajonchere CM, Sutcliffe JS, Skuse D, Gill M, Gallagher L, Mendell NR, Craddock N, Owen MJ, O'Donovan MC, Shaikh TH, Susser E, Delisi LE, Sullivan PF, Deutsch CK, Rapoport J, Levy DL, King MC, and Sebat J

Subjects
Humans, Risk Factors, Chromosomes, Human, Pair 16, Gene Duplication, Genetic Predisposition to Disease, Schizophrenia genetics
Abstract

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

Published
2009
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27. Genetic predictors of increase in suicidal ideation during antidepressant treatment in the GENDEP project.

Author

Perroud N, Aitchison KJ, Uher R, Smith R, Huezo-Diaz P, Marusic A, Maier W, Mors O, Placentino A, Henigsberg N, Rietschel M, Hauser J, Souery D, Kapelski P, Bonvicini C, Zobel A, Jorgensen L, Petrovic A, Kalember P, Schulze TG, Gupta B, Gray J, Lewis CM, Farmer AE, McGuffin P, and Craig I

Subjects
Adult, Antidepressive Agents therapeutic use, Brain-Derived Neurotrophic Factor genetics, Citalopram therapeutic use, Depressive Disorder, Major drug therapy, Female, Follow-Up Studies, Haplotypes, Humans, Linkage Disequilibrium, Logistic Models, Male, Nortriptyline therapeutic use, Polymorphism, Genetic, Polymorphism, Single Nucleotide, Receptor, trkB genetics, Receptors, Adrenergic, alpha-2 genetics, Sex Factors, Antidepressive Agents adverse effects, Citalopram adverse effects, Depressive Disorder, Major genetics, Genetic Predisposition to Disease, Nortriptyline adverse effects, Suicide
Abstract

The aim of this study was to investigate genetic predictors of an increase in suicidal ideation during treatment with a selective serotonin reuptake inhibitor or a tricyclic antidepressant. A total of 796 adult patients with major depressive disorder who were treated with a flexible dosage of escitalopram or nortriptyline in Genome-based Therapeutic Drugs for Depression (GENDEP) were included in the sample and provided data on suicidal ideation. Nine candidate genes involved in neurotrophic, serotonergic, and noradrenergic pathways were selected based on previous association studies with suicidal ideation or behavior. Using a logistic regression model, 123 polymorphisms in these genes were compared between subjects with an increase in suicidal ideation and those without any increase in suicidal ideation. Polymorphisms in BDNF, the gene encoding the brain-derived neurotrophic factor, were significantly associated with an increase in suicidal ideation. The strongest association was observed for rs962369 in BDNF (p=0.0015). Moreover, a significant interaction was found between variants in BDNF and NTRK2, the gene encoding the BNDF receptor (p=0.0003). Among men taking nortriptyline, suicidality was also associated with rs11195419 SNP in the alpha(2A)-adrenergic receptor gene (ADRA2A) (p=0.007). The associations observed with polymorphisms in BDNF suggest the involvement of the neurotrophic system in vulnerability to suicidality. Epistasis between BDNF and NTRK2 suggests that genetic variations in the two genes are involved in the same causal mechanisms leading to suicidality during antidepressant treatment. Among men, genetic variation in noradrenergic signaling may interact with norepinephrine reuptake-inhibiting antidepressants, thereby contributing to suicidality.

Published
2009
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28. Mood-incongruent psychosis in bipolar disorder: conditional linkage analysis shows genome-wide suggestive linkage at 1q32.3, 7p13 and 20q13.31.

Author

Hamshere ML, Schulze TG, Schumacher J, Corvin A, Owen MJ, Jamra RA, Propping P, Maier W, Orozco y Diaz G, Mayoral F, Rivas F, Jones I, Jones L, Kirov G, Gill M, Holmans PA, Nöthen MM, Cichon S, Rietschel M, and Craddock N

Subjects
Genome-Wide Association Study, Humans, Psychiatric Status Rating Scales, United Kingdom, Bipolar Disorder complications, Bipolar Disorder genetics, Chromosomes, Human, Pair 1 genetics, Chromosomes, Human, Pair 20 genetics, Chromosomes, Human, Pair 7 genetics, Genetic Linkage genetics, Genetic Predisposition to Disease, Psychotic Disorders complications, Psychotic Disorders genetics
Abstract

Objective: The majority of research into functional psychosis has proceeded under the assumption that schizophrenia and bipolar disorder are distinct entities with separate underlying disease processes and treatments. This view has been increasingly challenged in both clinical and genetic studies. Findings in recent association studies at two specific genes suggest that the occurrence of mood-incongruent psychotic features may indicate a relatively homogeneous subset of the bipolar phenotype. We examined this hypothesis., Methods: Caucasian affected individuals were ascertained from Europe (the United Kingdom, the Republic of Ireland, Germany, Italy and Andalusia). Consensus best-estimate diagnoses were assigned by two independent raters according to all available information. There was no cross-site evaluation of inter-rater reliability. Families multiply affected by bipolar spectrum mood disorder were selected, comprising 383 affected relative pairs. Individuals were considered to be affected if they were diagnosed with DSM-IV bipolar I disorder or schizoaffective disorder, bipolar type. Multipoint, affected relative pair covariate linkage analysis was performed., Results: Significant familiality of incongruent psychosis was observed [intra-class correlation coefficient (ICC) = 0.309; p = 0.001, one-tail]. Covariate linkage analysis provided three regions with genome-wide suggestive evidence for linkage on chromosomes 1q32.3 (LOD = 4.15, expected 0.12 times per genome scan), 7p13 (LOD = 3.32) and 20q13.31 (LOD = 2.98). No region in our analysis met criteria for genome-wide significance., Conclusion: Our results provide molecular support for the hypothesis that genes may exist for specific forms of bipolar illness, dependent on the presence or absence of incongruent psychosis. Our findings suggest that researchers should take account of mood-congruence/incongruence of psychotic features in studies of bipolar disorder.

Published
2009
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29. Dissection of phenotype reveals possible association between schizophrenia and Glutamate Receptor Delta 1 (GRID1) gene promoter.

Author

Treutlein J, Mühleisen TW, Frank J, Mattheisen M, Herms S, Ludwig KU, Treutlein T, Schmael C, Strohmaier J, Bösshenz KV, Breuer R, Paul T, Witt SH, Schulze TG, Schlösser RG, Nenadic I, Sauer H, Becker T, Maier W, Cichon S, Nöthen MM, and Rietschel M

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Female, Genome-Wide Association Study methods, Genotype, Humans, Male, Middle Aged, Polymorphism, Genetic genetics, Young Adult, Gene Deletion, Genetic Predisposition to Disease, Phenotype, Promoter Regions, Genetic genetics, Receptors, Glutamate genetics, Schizophrenia genetics
Abstract

Recent linkage and association data have implicated the Glutamate Receptor Delta 1 (GRID1) locus in the etiology of schizophrenia. In this study, we sought to test whether variants in the promoter region are associated with this disorder. The distribution of CpG islands, which are known to be relevant for transcriptional regulation, was computationally determined at the GRID1 locus, and the putative transcriptional regulatory region at the 5'-terminus was systematically tagged using HapMap data. Genotype analyses were performed with 22 haplotype-tagging single nucleotide polymorphisms (htSNPs) in a German sample of 919 schizophrenia patients and 773 controls. The study also included two SNPs in intron 2 and one in intron 3 which have been found to be significantly associated with schizophrenia in previous studies. For the transcriptional regulatory region, association was obtained with rs3814614 (p=0.0193), rs10749535 (p=0.0245), and rs11201985 (p=0.0222). For all further analyses, the patient samples were divided into more homogeneous subgroups according to sex, age at onset, positive family history of schizophrenia and lifetime history of major depression. The p-value of the schizophrenia association finding for the three markers decreased by approximately one order of magnitude, despite the reduction in the total sample size. Marker rs3814614 (unadjusted p=0.0005), located approximately 2.0 kb from the transcriptional start point, also withstood a two-step correction for multiple testing (p=0.030). No support was obtained for previously reported associations with the intronic markers. Our results suggest that genetic variants in the GRID1 transcriptional regulatory region may play a role in the etiology of schizophrenia, and that future association studies of schizophrenia may require stratification to ensure more homogeneous patient subgroups.

Published
2009
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30. No association between genetic variants at the DGCR2 gene and schizophrenia in a German sample.

Author

Georgi A, Schumacher J, Leon CA, Wolf AV, Klein K, Böhenz KV, Schirmbeck F, Strohmaier J, Propping P, Schulze TG, Rietschel M, Nöthen MM, Cichon S, and Jamra RA

Subjects
Adult, Alleles, Female, Germany, Humans, Male, Platelet Glycoprotein GPIb-IX Complex, Genetic Predisposition to Disease, Genetic Variation, Membrane Glycoproteins genetics, Schizophrenia genetics, White People genetics
Published
2009
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31. No association between the D-aspartate oxidase locus and schizophrenia.

Author

Jamra RA, Georgi A, Suliman H, Klein K, Villela AW, Schulze TG, Propping P, Cichon S, Rietschel M, Nöthen MM, and Schumacher J

Subjects
Female, Germany, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide genetics, White People genetics, D-Aspartate Oxidase genetics, Genetic Predisposition to Disease, Schizophrenia enzymology, Schizophrenia genetics
Published
2009
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32. Identification of loci associated with schizophrenia by genome-wide association and follow-up.

Author

O'Donovan MC, Craddock N, Norton N, Williams H, Peirce T, Moskvina V, Nikolov I, Hamshere M, Carroll L, Georgieva L, Dwyer S, Holmans P, Marchini JL, Spencer CC, Howie B, Leung HT, Hartmann AM, Möller HJ, Morris DW, Shi Y, Feng G, Hoffmann P, Propping P, Vasilescu C, Maier W, Rietschel M, Zammit S, Schumacher J, Quinn EM, Schulze TG, Williams NM, Giegling I, Iwata N, Ikeda M, Darvasi A, Shifman S, He L, Duan J, Sanders AR, Levinson DF, Gejman PV, Cichon S, Nöthen MM, Gill M, Corvin A, Rujescu D, Kirov G, Owen MJ, Buccola NG, Mowry BJ, Freedman R, Amin F, Black DW, Silverman JM, Byerley WF, and Cloninger CR

Subjects
Bipolar Disorder genetics, Case-Control Studies, Chromosome Mapping, Follow-Up Studies, Humans, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Genome-Wide Association Study, Kruppel-Like Transcription Factors genetics, Schizophrenia genetics
Abstract

We carried out a genome-wide association study of schizophrenia (479 cases, 2,937 controls) and tested loci with P < 10(-5) in up to 16,726 additional subjects. Of 12 loci followed up, 3 had strong independent support (P < 5 x 10(-4)), and the overall pattern of replication was unlikely to occur by chance (P = 9 x 10(-8)). Meta-analysis provided strongest evidence for association around ZNF804A (P = 1.61 x 10(-7)) and this strengthened when the affected phenotype included bipolar disorder (P = 9.96 x 10(-9)).

Published
2008
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33. Association study between genetic variants at the VAMP2 and VAMP3 loci and bipolar affective disorder.

Author

Abou Jamra R, Gobina CM, Becker T, Georgi A, Schulze TG, Schmael C, Cichon S, Propping P, Rietschel M, Nöthen MM, and Schumacher J

Subjects
Adult, Female, Haplotypes, Humans, Male, Middle Aged, Bipolar Disorder genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide genetics, Vesicle-Associated Membrane Protein 2 genetics, Vesicle-Associated Membrane Protein 3 genetics
Abstract

Objectives: Vesicle-associated membrane proteins 2 and 3 (VAMP2 and VAMP3) are required for the release of D-serine, a competitive agonist of the neurotransmitter glycine at the glutamatergic N-methyl-D-aspartate receptors. Several lines of evidence point to an involvement of altered D-serine levels in the central nervous system in the aetiology of bipolar affective disorder (BPAD). Strong association findings between BPAD and two genes, G72 and DAAO, which are involved in the enzymatic degradation of D-serine, are reported. Based on the functional evidence and on the hypothesis that further genes, which are involved in the regulation of D-serine, could be involved in the disease aetiology, we considered VAMP2 and VAMP3 as candidate genes for BPAD., Methods: We analyzed three and four single nucleotide polymorphism (SNP) markers covering VAMP2 and VAMP3, respectively, in an initial BPAD case-control sample of German descent (409 cases, 407 controls). For replication, we analyzed three SNP markers covering VAMP2 in a second sample of the same ethnicity (378 cases, 384 controls)., Results: Although no association was found for VAMP3 markers, we observed evidence of association with SNPs at the VAMP2 locus in the initial sample (P values between 0.005 and 0.033). To validate these findings, we analyzed a second BPAD sample and failed to replicate the initial findings at the single-marker and haplotypic level., Conclusion: In conclusion, our results do not suggest that a common genetic variant at VAMP2 or VAMP3 contributes to the development of BPAD in German patients.

Published
2008
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34. Genomewide scan and fine-mapping linkage studies in four European samples with bipolar affective disorder suggest a new susceptibility locus on chromosome 1p35-p36 and provides further evidence of loci on chromosome 4q31 and 6q24.

Author

Schumacher J, Kaneva R, Jamra RA, Diaz GO, Ohlraun S, Milanova V, Lee YA, Rivas F, Mayoral F, Fuerst R, Flaquer A, Windemuth C, Gay E, Sanz S, González MJ, Gil S, Cabaleiro F, del Rio F, Perez F, Haro J, Kostov C, Chorbov V, Nikolova-Hill A, Stoyanova V, Onchev G, Kremensky I, Strauch K, Schulze TG, Nürnberg P, Gaebel W, Klimke A, Auburger G, Wienker TF, Kalaydjieva L, Propping P, Cichon S, Jablensky A, Rietschel M, and Nöthen MM

Subjects
Bipolar Disorder genetics, Bulgaria ethnology, Genetic Markers, Germany ethnology, Humans, Lod Score, Roma ethnology, Spain ethnology, White People ethnology, White People statistics & numerical data, Chromosomes, Human, Pair 1 genetics, Chromosomes, Human, Pair 4 genetics, Chromosomes, Human, Pair 6 genetics, Genetic Predisposition to Disease, Genome, Human, Physical Chromosome Mapping
Abstract

We present the findings of a large linkage study of bipolar affective disorder (BPAD) that involved genomewide analysis of 52 families (448 genotyped individuals) of Spanish, Romany, and Bulgarian descent and further fine mapping of the 1p34-p36, 4q28-q31, and 6q15-q24 regions. An additional sample of 56 German families (280 individuals) was included for this fine-mapping step. The highest nonparametric linkage scores obtained in the fine mapping were 5.49 for 4q31 and 4.87 for 6q24 in the Romany families and 3.97 for 1p35-p36 in the Spanish sample. MOD-score (LOD scores maximized over genetic model parameters) analysis provided significant evidence of linkage to 4q31 and at least borderline significance for the 1p and 6q regions. On the basis of these results and previous positive research findings, 4q31 and 6q24 should now be considered confirmed BPAD susceptibility loci, and 1p35-p36 is proposed as a new putative locus that requires confirmation in replication studies.

Published
2005
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35. Evidence for a relationship between genetic variants at the brain-derived neurotrophic factor (BDNF) locus and major depression.

Author

Schumacher J, Jamra RA, Becker T, Ohlraun S, Klopp N, Binder EB, Schulze TG, Deschner M, Schmäl C, Höfels S, Zobel A, Illig T, Propping P, Holsboer F, Rietschel M, Nöthen MM, and Cichon S

Subjects
Adult, Aged, Bipolar Disorder genetics, Case-Control Studies, Dinucleotide Repeats, Gene Frequency, Genotype, Humans, Male, Middle Aged, Polymorphism, Genetic, Schizophrenia genetics, Brain-Derived Neurotrophic Factor genetics, Depressive Disorder, Major genetics, Genetic Predisposition to Disease, Genetic Variation genetics
Abstract

Background: Previous genetic studies investigating a possible involvement of variations at the brain derived neurotrophic factor (BDNF) gene locus in major depressive disorder (MDD), bipolar affective disorder (BPAD), and schizophrenia have provided inconsistent results., Methods: We performed single-marker and haplotype analyses using three BDNF polymorphisms in 2,376 individuals (465 MDD, 281 BPAD, 533 schizophrenia, and 1,097 control subjects)., Results: Single-marker analysis did not provide strong evidence for association. Haplotype analysis of marker combination rs988748-(GT)n-rs6265 produced nominally significant associations for all investigated phenotypes (global p values: MDD p = .00006, BPAD p = .0057, schizophrenia p = .016). Association with MDD was the most robust finding and could be replicated in a second German sample of MDD patients and control subjects (p = .0092, uncorrected). Stratification of our schizophrenia sample according to the presence or absence of a lifetime history of depressive symptoms showed that our finding in schizophrenia might be attributable mainly to the presence of depressive symptoms., Conclusions: Association studies of genetic variants of the BDNF gene with various psychiatric disorders have been published with reports of associations and nonreplications. Our findings suggest that BDNF may be a susceptibility gene for MDD and schizophrenia-in particular, in a subgroup of patients with schizophrenia with a lifetime history of depressive symptoms.

Published
2005
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36. Loci on chromosomes 6q and 6p interact to increase susceptibility to bipolar affective disorder in the national institute of mental health genetics initiative pedigrees.

Author

Schulze TG, Buervenich S, Badner JA, Steele CJ, Detera-Wadleigh SD, Dick D, Foroud T, Cox NJ, MacKinnon DF, Potash JB, Berrettini WH, Byerley W, Coryell W, DePaulo JR Jr, Gershon ES, Kelsoe JR, McInnis MG, Murphy DL, Reich T, Scheftner W, Nurnberger JI Jr, and McMahon FJ

Subjects
Bipolar Disorder epidemiology, Epistasis, Genetic, Female, Humans, Lod Score, Male, National Institute of Mental Health (U.S.), Pedigree, Psychotic Disorders genetics, Schizophrenia genetics, United States epidemiology, Bipolar Disorder genetics, Chromosomes, Human, Pair 6, Genetic Linkage, Genetic Predisposition to Disease
Abstract

Background: We have reported genetic linkage between bipolar disorder and markers on chromosome 6q16.3-22.1 in the National Institute of Mental Health Genetics Initiative wave 3 pedigrees. Here we test for: 1) robustness of the linkage to differing analysis methods, genotyping error, and gender-specific maps; 2) parent-of-origin effects; and 3) interaction with markers within the schizophrenia linkage region on chromosome 6p., Methods: Members of 245 families ascertained through a sibling pair affected with bipolar I or schizoaffective-bipolar disorder were genotyped with 18 markers spanning chromosome 6. Nonparametric linkage analysis was performed., Results: Linkage to 6q is robust to analysis method, gender-specific map differences, and genotyping error. The locus confers a 1.4-fold increased risk. Affected siblings share the maternal more often than the paternal chromosome (p =.006), which could reflect a maternal parent-of-origin effect. There is a positive correlation between family-specific linkage scores on 6q and those on 6p22.2 (r =.26; p <.0001). Linkage analysis for each locus conditioned on evidence of linkage to the other increases the evidence for linkage at both loci (p <.0005). Logarithm of the odds (LOD) scores increased from 2.26 to 5.42 on 6q and from.35 to 2.26 on 6p22.2., Conclusions: These results support linkage of bipolar disorder to 6q, uncover a maternal parent-of-origin effect, and demonstrate an interaction of this locus with one on chromosome 6p22.2, previously linked only to schizophrenia.

Published
2004
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37. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders.

Author

Blokland, Gabriëlla AM, Grove, Jakob, Chen, Chia-Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Schizophrenia Working Group of the Psychiatric Genomics Consortium, St Clair, David, Lencz, Todd, Mowry, Bryan J, Periyasamy, Sathish, Cairns, Murray J, Tooney, Paul A, Wu, Jing Qin, Kelly, Brian, Kirov, George, Sullivan, Patrick F, Corvin, Aiden, Riley, Brien P, Esko, Tõnu, Milani, Lili, Jönsson, Erik G, Palotie, Aarno, Ehrenreich, Hannelore, Begemann, Martin, Steixner-Kumar, Agnes, Sham, Pak C, Iwata, Nakao, Weinberger, Daniel R, Gejman, Pablo V, Sanders, Alan R, Buxbaum, Joseph D, Rujescu, Dan, Giegling, Ina, Konte, Bettina, Hartmann, Annette M, Bramon, Elvira, Murray, Robin M, Pato, Michele T, Lee, Jimmy, Melle, Ingrid, Molden, Espen, Ophoff, Roel A, McQuillin, Andrew, Bass, Nicholas J, Adolfsson, Rolf, Malhotra, Anil K, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Martin, Nicholas G, Fullerton, Janice M, Mitchell, Philip B, Schofield, Peter R, Forstner, Andreas J, Degenhardt, Franziska, Schaupp, Sabrina, Comes, Ashley L, Kogevinas, Manolis, Guzman-Parra, José, Reif, Andreas, Streit, Fabian, Sirignano, Lea, Cichon, Sven, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Lissowska, Jolanta, Mayoral, Fermin, Müller-Myhsok, Bertram, Świątkowska, Beata, Schulze, Thomas G, Nöthen, Markus M, Rietschel, Marcella, Kelsoe, John, Leboyer, Marion, Jamain, Stéphane, Etain, Bruno, Bellivier, Frank, Vincent, John B, Alda, Martin, O'Donovan, Claire, Cervantes, Pablo, Biernacka, Joanna M, Frye, Mark, McElroy, Susan L, Scott, Laura J, Stahl, Eli A, Landén, Mikael, Hamshere, Marian L, Smeland, Olav B, Djurovic, Srdjan, Vaaler, Arne E, Andreassen, Ole A, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Baune, Bernhard T, Air, Tracy, Preisig, Martin, Uher, Rudolf, Levinson, Douglas F, Weissman, Myrna M, Potash, James B, and Shi, Jianxin

Subjects
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, iPSYCH, Endothelial Cells, Humans, Genetic Predisposition to Disease, Receptors, Vascular Endothelial Growth Factor, Sulfurtransferases, Bipolar Disorder, Depressive Disorder, Major, Psychotic Disorders, Schizophrenia, Sex Characteristics, Polymorphism, Single Nucleotide, Female, Male, Genome-Wide Association Study, Bipolar disorder, Genome-wide association study, Genotype-by-sex interaction, Major depressive disorder, Sex differences, Serious Mental Illness, Biotechnology, Mental Health, Genetics, Human Genome, Neurosciences, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Mental health, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundSex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk.MethodsWe conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH.ResultsAcross disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10-8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10-6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10-7; rs73033497, p = 8.8 × 10-7; rs7914279, p = 6.4 × 10-7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10-7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10-7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10-7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05).ConclusionsIn the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.

Published
2022

38. Impact of a cis-associated gene expression SNP on chromosome 20q11.22 on bipolar disorder susceptibility, hippocampal structure and cognitive performance

Author

Li, Ming, Luo, Xiong-jian, Landén, Mikael, Bergen, Sarah E, Hultman, Christina M, Li, Xiao, Zhang, Wen, Yao, Yong-Gang, Zhang, Chen, Liu, Jiewei, Mattheisen, Manuel, Cichon, Sven, Mühleisen, Thomas W, Degenhardt, Franziska A, Nöthen, Markus M, Schulze, Thomas G, Grigoroiu-Serbanescu, Maria, Li, Hao, Fuller, Chris K, Chen, Chunhui, Dong, Qi, Chen, Chuansheng, Jamain, Stéphane, Leboyer, Marion, Bellivier, Frank, Etain, Bruno, Kahn, Jean-Pierre, Henry, Chantal, Preisig, Martin, Kutalik, Zoltán, Castelao, Enrique, Wright, Adam, Mitchell, Philip B, Fullerton, Janice M, Schofield, Peter R, Montgomery, Grant W, Medland, Sarah E, Gordon, Scott D, Martin, Nicholas G, Rietschel, Marcella, Liu, Chunyu, Kleinman, Joel E, Hyde, Thomas M, Weinberger, Daniel R, and Su, Bing

Subjects
Biological Psychology, Epidemiology, Health Sciences, Psychology, Serious Mental Illness, Neurosciences, Mental Health, Brain Disorders, Human Genome, Genetics, Clinical Research, Prevention, 2.1 Biological and endogenous factors, Aetiology, Mental health, Aged, Bayes Theorem, Bipolar Disorder, Case-Control Studies, Chromosomes, Human, Pair 22, Cognition, Genetic Predisposition to Disease, Genome-Wide Association Study, Hippocampus, Humans, Logistic Models, Polymorphism, Single Nucleotide, MooDS Consortium, Swedish Bipolar Study Group, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Biomedical and clinical sciences, Health sciences
Abstract

BACKGROUND:Bipolar disorder is a highly heritable polygenic disorder. Recent enrichment analyses suggest that there may be true risk variants for bipolar disorder in the expression quantitative trait loci (eQTL) in the brain. AIMS:We sought to assess the impact of eQTL variants on bipolar disorder risk by combining data from both bipolar disorder genome-wide association studies (GWAS) and brain eQTL. METHOD:To detect single nucleotide polymorphisms (SNPs) that influence expression levels of genes associated with bipolar disorder, we jointly analysed data from a bipolar disorder GWAS (7481 cases and 9250 controls) and a genome-wide brain (cortical) eQTL (193 healthy controls) using a Bayesian statistical method, with independent follow-up replications. The identified risk SNP was then further tested for association with hippocampal volume (n = 5775) and cognitive performance (n = 342) among healthy individuals. RESULTS:Integrative analysis revealed a significant association between a brain eQTL rs6088662 on chromosome 20q11.22 and bipolar disorder (log Bayes factor = 5.48; bipolar disorder P = 5.85 × 10(-5)). Follow-up studies across multiple independent samples confirmed the association of the risk SNP (rs6088662) with gene expression and bipolar disorder susceptibility (P = 3.54 × 10(-8)). Further exploratory analysis revealed that rs6088662 is also associated with hippocampal volume and cognitive performance in healthy individuals. CONCLUSIONS:Our findings suggest that 20q11.22 is likely a risk region for bipolar disorder; they also highlight the informative value of integrating functional annotation of genetic variants for gene expression in advancing our understanding of the biological basis underlying complex disorders, such as bipolar disorder.

Published
2016

39. New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis

Author

Lee, S Hong, Byrne, Enda M, Hultman, Christina M, Kähler, Anna, Vinkhuyzen, Anna AE, Ripke, Stephan, Andreassen, Ole A, Frisell, Thomas, Gusev, Alexander, Hu, Xinli, Karlsson, Robert, Mantzioris, Vasilis X, McGrath, John J, Mehta, Divya, Stahl, Eli A, Zhao, Qiongyi, Kendler, Kenneth S, Sullivan, Patrick F, Price, Alkes L, O’Donovan, Michael, Okada, Yukinori, Mowry, Bryan J, Raychaudhuri, Soumya, Wray, Naomi R, Byerley, William, Cahn, Wiepke, Cantor, Rita M, Cichon, Sven, Cormican, Paul, Curtis, David, Djurovic, Srdjan, Escott-Price, Valentina, Gejman, Pablo V, Georgieva, Lyudmila, Giegling, Ina, Hansen, Thomas F, Ingason, Andrés, Kim, Yunjung, Konte, Bettina, Lee, Phil H, McIntosh, Andrew, McQuillin, Andrew, Morris, Derek W, Nöthen, Markus M, O’Dushlaine, Colm, Olincy, Ann, Olsen, Line, Pato, Carlos N, Pato, Michele T, Pickard, Benjamin S, Posthuma, Danielle, Rasmussen, Henrik B, Rietschel, Marcella, Rujescu, Dan, Schulze, Thomas G, Silverman, Jeremy M, Thirumalai, Srinivasa, Werge, Thomas, Agartz, Ingrid, Amin, Farooq, Azevedo, Maria H, Bass, Nicholas, Black, Donald W, Blackwood, Douglas HR, Bruggeman, Richard, Buccola, Nancy G, Choudhury, Khalid, Cloninger, Robert C, Corvin, Aiden, Craddock, Nicholas, Daly, Mark J, Datta, Susmita, Donohoe, Gary J, Duan, Jubao, Dudbridge, Frank, Fanous, Ayman, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Gill, Michael, Gurling, Hugh, De Haan, Lieuwe, Hamshere, Marian L, Hartmann, Annette M, Holmans, Peter A, Kahn, René S, Keller, Matthew C, Kenny, Elaine, Kirov, George K, Krabbendam, Lydia, Krasucki, Robert, Lawrence, Jacob, Lencz, Todd, Levinson, Douglas F, Lieberman, Jeffrey A, Lin, Dan-Yu, Linszen, Don H, Magnusson, Patrik KE, Maier, Wolfgang, and Malhotra, Anil K

Subjects
Epidemiology, Health Sciences, Human Genome, Mental Health, Brain Disorders, Autoimmune Disease, Schizophrenia, Clinical Research, Arthritis, Serious Mental Illness, Genetics, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Mental health, Adolescent, Adult, Arthritis, Rheumatoid, Cohort Studies, Cross-Sectional Studies, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Young Adult, Schizophrenia Working Group of the Psychiatric Genomics Consortium and Rheumatoid Arthritis Consortium International, Schizophrenia Working Group of the Psychiatric Genomics Consortium Authors, Schizophrenia Working Group of the Psychiatric Genomics Consortium Collaborators, Rheumatoid Arthritis Consortium International Authors, Rheumatoid Arthritis Consortium International Collaborators, Statistics, Public Health and Health Services, Public health
Abstract

BackgroundA long-standing epidemiological puzzle is the reduced rate of rheumatoid arthritis (RA) in those with schizophrenia (SZ) and vice versa. Traditional epidemiological approaches to determine if this negative association is underpinned by genetic factors would test for reduced rates of one disorder in relatives of the other, but sufficiently powered data sets are difficult to achieve. The genomics era presents an alternative paradigm for investigating the genetic relationship between two uncommon disorders.MethodsWe use genome-wide common single nucleotide polymorphism (SNP) data from independently collected SZ and RA case-control cohorts to estimate the SNP correlation between the disorders. We test a genotype X environment (GxE) hypothesis for SZ with environment defined as winter- vs summer-born.ResultsWe estimate a small but significant negative SNP-genetic correlation between SZ and RA (-0.046, s.e. 0.026, P = 0.036). The negative correlation was stronger for the SNP set attributed to coding or regulatory regions (-0.174, s.e. 0.071, P = 0.0075). Our analyses led us to hypothesize a gene-environment interaction for SZ in the form of immune challenge. We used month of birth as a proxy for environmental immune challenge and estimated the genetic correlation between winter-born and non-winter born SZ to be significantly less than 1 for coding/regulatory region SNPs (0.56, s.e. 0.14, P = 0.00090).ConclusionsOur results are consistent with epidemiological observations of a negative relationship between SZ and RA reflecting, at least in part, genetic factors. Results of the month of birth analysis are consistent with pleiotropic effects of genetic variants dependent on environmental context.

Published
2015

40. Rare variants in neuronal excitability genes influence risk for bipolar disorder

Author

Ament, Seth A, Szelinger, Szabolcs, Glusman, Gustavo, Ashworth, Justin, Hou, Liping, Akula, Nirmala, Shekhtman, Tatyana, Badner, Judith A, Brunkow, Mary E, Mauldin, Denise E, Stittrich, Anna-Barbara, Rouleau, Katherine, Detera-Wadleigh, Sevilla D, Nurnberger, John I, Edenberg, Howard J, Gershon, Elliot S, Schork, Nicholas, Price, Nathan D, Gelinas, Richard, Hood, Leroy, Craig, David, McMahon, Francis J, Kelsoe, John R, Roach, Jared C, Greenwood, Tiffany A, Nievergelt, Caroline M, Shilling, Paul D, Foroud, Tatiana, Koller, Daniel L, Liu, Chunyu, Scheftner, William A, Lawson, William B, Coryell, William, Potash, James B, Rice, John, Byerley, William, Berrettini, Wade H, Zandi, Peter P, McInnis, Melvin G, Craig, David W, Schulze, Thomas G, Schork, Nicholas J, and Quarless, Danjuma

Subjects
Human Genome, Mental Health, Genetics, Bipolar Disorder, Prevention, Brain Disorders, Neurosciences, Serious Mental Illness, 2.1 Biological and endogenous factors, Aetiology, Neurological, Case-Control Studies, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Humans, Male, Neurons, Pedigree, Polymorphism, Single Nucleotide, Risk Factors, Signal Transduction, White People, bipolar disorder, family genomics, regulatory variants, GABA(A) receptor, voltage-gated calcium channel, Bipolar Genome Study, GABAA receptor
Abstract

We sequenced the genomes of 200 individuals from 41 families multiply affected with bipolar disorder (BD) to identify contributions of rare variants to genetic risk. We initially focused on 3,087 candidate genes with known synaptic functions or prior evidence from genome-wide association studies. BD pedigrees had an increased burden of rare variants in genes encoding neuronal ion channels, including subunits of GABAA receptors and voltage-gated calcium channels. Four uncommon coding and regulatory variants also showed significant association, including a missense variant in GABRA6. Targeted sequencing of 26 of these candidate genes in an additional 3,014 cases and 1,717 controls confirmed rare variant associations in ANK3, CACNA1B, CACNA1C, CACNA1D, CACNG2, CAMK2A, and NGF. Variants in promoters and 5' and 3' UTRs contributed more strongly than coding variants to risk for BD, both in pedigrees and in the case-control cohort. The genes and pathways identified in this study regulate diverse aspects of neuronal excitability. We conclude that rare variants in neuronal excitability genes contribute to risk for BD.

Published
2015

41. Genome wide association study identifies variants in NBEA associated with migraine in bipolar disorder

Author

Jacobsen, Kaya K, Nievergelt, Caroline M, Zayats, Tetyana, Greenwood, Tiffany A, Anttila, Verneri, Akiskal, Hagop S, Consortium, BiGS, Consortium, IHG, include:, BiGS Consortium Co-Authors, Kelsoe, John R, McKinney, Rebecca, Shilling, Paul D, Smith, Erin N, Schork, Nicholas J, Bloss, Cinnamon S, Nurnberger, John I, Edenberg, Howard J, Foroud, Tatiana, Koller, Daniel L, Gershon, Elliot S, Badner, Judith A, Liu, Chunyu, Scheftner, William A, Lawson, William B, Nwulia, Evaristus A, Hipolito, Maria, Potash, James, Coryell, William, Rice, John, Byerley, William, McMahon, Francis J, Berrettini, Wade H, Zandi, Peter P, Mahon, Pamela B, McInnis, Melvin G, Zöllner, Sebastian, Zhang, Peng, Craig, David W, Szelinger, Szabolics, Barrett, Thomas B, Schulze, Thomas G, include:, IHG Consortium Co-Authors, Wedenoja, Juho, Kaunisto, Mari A, Heikkilä, Kauko, Kaprio, Jaakko, Wessman, Maija, Kallela, Mikko, Färkkilä, Markus, Artto, Ville, Aromaa, Arpo, Eriksson, Johan G, Winsvold, Bendik S, Zwart, John-Anker, Gormley, Padhraig, Palotie, Aarno, Kurth, Tobias, Rose, Lynda M, Buring, Julie E, Ridker, Paul M, Chasman, Daniel I, Bettella, Francesco, Steinberg, Stacy, Stefansson, Hreinn, Stefansson, Kari, McMahon, George, Davey-Smith, George, Malik, Rainer, Freilinger, Tobias, Wichmann, Heinz Erich, Dichgans, Martin, Muller-Myhsok, Bertram, Meitinger, Thomas, de Vries, Boukje, Terwindt, Gisela, Stam, Anine H, Frants, Rune R, Pelzer, Nadine, Weller, Claudia M, Zielman, Ronald, Ferrari, Michel D, van den Maagdenberg, Arn MJM, Medland, Sarah E, Montgomery, Grant W, Martin, Nicholas G, Nyholt, Dale R, Todt, Unda, Borck, Guntram, Kubisch, Christian, Quaye, Lydia, Williams, Frances MK, Cherkas, Lynn, Koiranen, Markku, Hartikainen, Anna-Liisa, Pouta, Anneli, Jarvelin, Marjo-Riitta, Ikram, M Arfan, and van den Ende, Joyce

Subjects
Biomedical and Clinical Sciences, Headaches, Bipolar Disorder, Human Genome, Genetics, Mental Health, Pain Research, Migraines, Serious Mental Illness, Chronic Pain, Mental Illness, Neurosciences, Brain Disorders, 2.1 Biological and endogenous factors, Neurological, Adult, Carrier Proteins, Comorbidity, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Migraine Disorders, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Bipolar disorder, Migraine, NBEA, Neurobeachin, BiGS Consortium, IHG Consortium, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Biomedical and clinical sciences, Health sciences, Psychology
Abstract

BackgroundMigraine is a common comorbidity among individuals with bipolar disorder, but the underlying mechanisms for this co-occurrence are poorly understood. The aim of this study was to investigate the genetic background of bipolar patients with and without migraine.MethodsWe performed a genome-wide association analysis contrasting 460 bipolar migraneurs with 914 bipolar patients without migraine from the Bipolar Genome Study (BiGS).ResultsWe identified one genome-wide significant association between migraine in bipolar disorder patients and rs1160720, an intronic single nucleotide polymorphism (SNP) in the NBEA gene (P=2.97 × 10(-8), OR: 1.82, 95% CI: 1.47-2.25), although this was not replicated in a smaller sample of 289 migraine cases.LimitationsOur study is based on self-reported migraine.ConclusionsNBEA encodes neurobeachin, a scaffolding protein primarily expressed in the brain and involved in trafficking of vesicles containing neurotransmitter receptors. This locus has not previously been implicated in migraine per se. We found no evidence of association in data from the GWAS migraine meta-analysis consortium (n=118,710 participants) suggesting that the association might be specific to migraine co-morbid with bipolar disorder.

Published
2015

42. Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Author

Trubetskoy, Vassily, Panagiotaropoulou, Georgia, Awasthi, Swapnil, Braun, Alice, Kraft, Julia, Skarabis, Nora, Walter, Henrik, Ripke, Stephan, Pardiñas, Antonio F., Dennison, Charlotte A., Hall, Lynsey S., Harwood, Janet C., Richards, Alexander L., Legge, Sophie E., Lynham, Amy, Williams, Nigel M., Bray, Nicholas J., Escott-Price, Valentina, Kirov, George, Holmans, Peter A., Pocklington, Andrew J., Owen, Michael J., Walters, James T. R., O’Donovan, Michael C., Qi, Ting, Sidorenko, Julia, Wu, Yang, Zeng, Jian, Gratten, Jacob, Visscher, Peter M., Yang, Jian, Wray, Naomi R., Bigdeli, Tim B., Fanous, Ayman H., Bryois, Julien, Bergen, Sarah E., Kähler, Anna K., Magnusson, Patrik K. E., Hultman, Christina M., Sullivan, Patrick F., Chen, Chia-Yen, Atkinson, Elizabeth G., Goldstein, Jacqueline I., Howrigan, Daniel P., Martin, Alicia R., Daly, Mark J., Huang, Hailiang, Neale, Benjamin M., Ge, Tian, Lam, Max, Belliveau, Richard A., Chambert, Kimberley D., Genovese, Giulio, Lee, Phil H., Pietiläinen, Olli, McCarroll, Steven A., Moran, Jennifer L., Smoller, Jordan W., Brown, Tyler C., Feng, Guoping, Hyman, Steven E., Sheng, Morgan, Chong, Siow Ann, Subramaniam, Mythily, Lencz, Todd, Malhotra, Anil K., Watanabe, Kyoko, Frei, Oleksandr, Agartz, Ingrid, Athanasiu, Lavinia, Melle, Ingrid, Andreassen, Ole A., Steen, Nils Eiel, DeLisi, Lynn E., Mesholam-Gately, Raquelle I., Seidman, Larry J., Koopmans, Frank, Magnusson, Sigurdur, Stefánsson, Hreinn, Stefansson, Kari, Grove, Jakob, Agerbo, Esben, Als, Thomas D., Bybjerg-Grauholm, Jonas, Demontis, Ditte, Hougaard, David M., Mors, Ole, Mortensen, Preben B., Nordentoft, Merete, Børglum, Anders D., Mattheisen, Manuel, Kim, Minsoo, Gandal, Michael J., Li, Zhiqiang, Shi, Yongyong, Zhou, Wei, Qin, Shengying, Voloudakis, Georgios, Zhang, Wen, Roussos, Panos, Adams, Mark, McIntosh, Andrew, Söderman, Erik, Jönsson, Erik G., McGrath, John J., Al Eissa, Mariam, Bass, Nicholas J., Fiorentino, Alessia, O’Brien, Niamh Louise, Pimm, Jonathan, Sharp, Sally Isabel, McQuillin, Andrew, Albus, Margot, Alexander, Madeline, Alizadeh, Behrooz Z., Bruggeman, Richard, Alptekin, Köksal, Amin, Farooq, Arolt, Volker, Lencer, Rebecca, Rothermundt, Matthias, Baune, Bernhard T., Arrojo, Manuel, Azevedo, Maria Helena, Bacanu, Silviu A., Webb, Bradley T., Wormley, Brandon K., Riley, Brien P., Kendler, Kenneth S., Begemann, Martin, Mitjans, Marina, Steixner-Kumar, Agnes A., Ehrenreich, Hannelore, Bene, Judit, Benyamin, Beben, Blasi, Giuseppe, Rampino, Antonio, Torretta, Silvia, Bertolino, Alessandro, Bobes, Julio, Bonassi, Stefano, Bressan, Rodrigo Affonseca, Gadelha, Ary, Noto, Cristiano, Ota, Vanessa Kiyomi, Santoro, Marcos Leite, Belangero, Sintia Iole, Bromet, Evelyn J., Buckley, Peter F., Buckner, Randy L., Cahn, Wiepke, Kahn, René S., Cairns, Murray J., Scott, Rodney J., Tooney, Paul A., Schall, Ulrich, Calkins, Monica E., Gur, Raquel E., Gur, Ruben C., Turetsky, Bruce I., Carr, Vaughan J., Castle, David, Harvey, Carol, Catts, Stanley V., Chan, Raymond C. K., Chaumette, Boris, Kebir, Oussama, Krebs, Marie-Odile, Cheng, Wei, Cheung, Eric F. C., Cohen, David, Consoli, Angèle, Giannitelli, Marianna, Laurent-Levinson, Claudine, Cordeiro, Quirino, Costas, Javier, Curtis, Charles, Quattrone, Diego, Breen, Gerome, Collier, David A., Di Forti, Marta, Vassos, Evangelos, Mondelli, Valeria, van Amelsvoort, Therese, Murray, Robin M., Davidson, Michael, Davis, Kenneth L., Haroutunian, Vahram, Malaspina, Dolores, Reichenberg, Abraham, Siever, Larry J., Silverman, Jeremy M., Buxbaum, Joseph D., de Haan, Lieuwe, Degenhardt, Franziska, Forstner, Andreas, Nöthen, Markus M., Dickerson, Faith, Dikeos, Dimitris, Papadimitriou, George N., Dinan, Timothy, Djurovic, Srdjan, Duan, Jubao, Gejman, Pablo V., Sanders, Alan R., Ducci, Giuseppe, Dudbridge, Frank, Eriksson, Johan G., Fañanás, Lourdes, Peñas, Javier González, González-Pinto, Ana, Molto, María Dolores, Moreno, Carmen, Parellada, Mara, Sanjuan, Julio, Crepo-Facorro, Benedicto, Mata, Ignacio, Arango, Celso, Faraone, Stephen V., Frank, Josef, Streit, Fabian, Witt, Stephanie H., Rietschel, Marcella, Freimer, Nelson B., Ophoff, Roel A., Fromer, Menachem, Stahl, Eli A., Frustaci, Alessandra, Gershon, Elliot S., Giegling, Ina, Hartmann, Annette M., Konte, Bettina, Rujescu, Dan, Giusti-Rodríguez, Paola, Szatkiewicz, Jin P., Godard, Stephanie, González Peñas, Javier, Gopal, Srihari, Savitz, Adam, Li, Qingqin S., Green, Michael F., Nuechterlein, Keith H., Sugar, Catherine A., Greenwood, Tiffany A., Light, Gregory A., Swerdlow, Neal R., Braff, David, Guillin, Olivier, Campion, Dominique, Gülöksüz, Sinan, Luykx, Jurjen J., Rutten, Bart P. F., van Winkel, Ruud, Gutiérrez, Blanca, Hahn, Eric, Hakonarson, Hakon, Pellegrino, Renata, Pantelis, Christos, Hayward, Caroline, Henskens, Frans A., Kelly, Brian J., Herms, Stefan, Hoffmann, Per, Ikeda, Masashi, Iwata, Nakao, Iyegbe, Conrad, van Os, Jim, Joa, Inge, Julià, Antonio, Marsal, Sara, Kam-Thong, Tony, Rautanen, Anna, Kamatani, Yoichiro, Karachanak-Yankova, Sena, Toncheva, Draga, Keller, Matthew C., Khrunin, Andrey, Limborska, Svetlana, Slominsky, Petr, Kim, Sung-Wan, Klovins, Janis, Nikitina-Zake, Liene, Kondratiev, Nikolay, Golimbet, Vera, Kubo, Michiaki, Kučinskas, Vaidutis, Kučinskiene, Zita Ausrele, Kusumawardhani, Agung, Kuzelova-Ptackova, Hana, Landi, Stefano, Lazzeroni, Laura C., Levinson, Douglas F., Petryshen, Tracey L., Lehrer, Douglas S., Lerer, Bernard, Li, Miaoxin, Lieberman, Jeffrey, Stroup, T. Scott, Liu, Chih-Min, Hwu, Hai-Gwo, Lönnqvist, Jouko, Loughland, Carmel M., Lubinski, Jan, Bakker, Steven, Kahn, René, Macek, Milan, Mackinnon, Andrew, Maher, Brion S., Maier, Wolfgang, Atbaşoğlu, Eşref Cem, Mallet, Jacques, Marder, Stephen R., Martorell, Lourdes, Muntané, Gerard, Vilella, Elisabet, Meier, Sandra, Schulze, Thomas G., McCarley, Robert W., McDonald, Colm, Donohoe, Gary, Morris, Derek W., Periyasamy, Sathish, Mowry, Bryan J., Medeiros, Helena, Sobell, Janet L., Melegh, Bela, Metspalu, Andres, Milani, Lili, Esko, Tõnu, Michie, Patricia T., Milanova, Vihra, Molden, Espen, Molina, Esther, Morley, Christopher P., Murphy, Kieran C., Myin-Germeys, Inez, Nenadić, Igor, Nestadt, Gerald, Pulver, Ann E., O’Neill, F. Anthony, Oh, Sang-Yun, Olincy, Ann, Freedman, Robert, Paunio, Tiina, Perkins, Diana O., Pfuhlmann, Bruno, Benner, Christian, Pirinen, Matti, Palotie, Aarno, Porteous, David, Powell, John, Quested, Digby, Radant, Allen D., Tsuang, Debby W., Rapaport, Mark H., Roe, Cheryl, Liu, Chunyu, Roffman, Joshua L., Roth, Julian, Gawlik, Micha, Saker-Delye, Safaa, Salomaa, Veikko, Suvisaari, Jaana, Shi, Jianxin, Sigurdsson, Engilbert, Sim, Kang, So, Hon-Cheong, Stain, Helen J., Stögmann, Elisabeth, Zimprich, Fritz, Stone, William S., Straub, Richard E., Hyde, Thomas, Jaffe, Andrew, Weinberger, Daniel R., Strengman, Eric, Svrakic, Dragan M., Cloninger, C. Robert, Ta, Thi Minh Tam, Takahashi, Atsushi, Terao, Chikashi, Thibaut, Florence, Tosato, Sarah, Tura, Gian Battista, Üçok, Alp, Vaaler, Arne, Veijola, Juha, Waddington, John, Waterreus, Anna, Morgan, Vera A., Jablensky, Assen V., Weiser, Mark, Wu, Jing Qin, Xu, Zhida, Yolken, Robert, Zai, Clement C., Kennedy, James L., Zhu, Feng, Saka, Meram C., Ayub, Muhammad, Black, Donald W., Buccola, Nancy G., Byerley, William F., Chen, Wei J., Crespo-Facorro, Benedicto, Galletly, Cherrie, Gennarelli, Massimo, Müller-Myhsok, Bertram, Neil, Amanda L., Pato, Michele T., Pato, Carlos N., Wang, Shi-Heng, Xu, Shuhua, Adolfsson, Rolf, Bramon, Elvira, Cervilla, Jorge A., Cichon, Sven, Corvin, Aiden, Gill, Michael, Curtis, David, Domenici, Enrico, Gareeva, Anna, Khusnutdinova, Elza, Glatt, Stephen J., Hong, Kyung Sue, Knowles, James A., Lee, Jimmy, Liu, Jianjun, Malhotra, Dheeraj, Menezes, Paulo R., Nimgaonkar, Vishwajit, Paciga, Sara A., Rivera, Margarita, Schwab, Sibylle G., Serretti, Alessandro, Sham, Pak C., Clair, David St, Tsuang, Ming T., Vawter, Marquis P., Werge, Thomas, Wildenauer, Dieter B., Yu, Xin, Yue, Weihua, Verhage, Matthijs, Sahasrabudhe, Dnyanada, Toonen, Ruud F., Posthuma, Danielle, Dai, Nan, Wenwen, Qin, Wildenauer, D. B., Agiananda, Feranindhya, Amir, Nurmiati, Antoni, Ronald, Arsianti, Tiana, Asmarahadi, Asmarahadi, Diatri, H., Djatmiko, Prianto, Irmansyah, Irmansyah, Khalimah, Siti, Kusumadewi, Irmia, Kusumaningrum, Profitasari, Lukman, Petrin R., Nasrun, Martina W., Safyuni, N. S., Prasetyawan, Prasetyawan, Semen, G., Siste, Kristiana, Tobing, Heriani, Widiasih, Natalia, Wiguna, Tjhin, Wulandari, D., Evalina, None, Hananto, A. J., Ismoyo, Joni H., Marini, T. M., Henuhili, Supiyani, Reza, Muhammad, Yusnadewi, Suzy, Abyzov, Alexej, Akbarian, Schahram, van Bakel, Harm, Breen, Michael, Charney, Alex, Dracheva, Stella, Girdhar, Kiran, Hoffman, Gabriel, Jiang, Yan, Pinto, Dalila, Purcell, Shaun, Roussos, Panagiotis, Wiseman, Jennifer, Ashley-Koch, Allison, Crawford, Gregory, Reddy, Tim, Brown, Miguel, Grennan, Kay, Carlyle, Becky, Emani, Prashant, Galeev, Timur, Gerstein, Mark, Gu, Mengting, Guerra, Brittney, Gursoy, Gamze, Kitchen, Robert, Lee, Donghoon, Li, Mingfeng, Liu, Shuang, Navarro, Fabio, Pan, Xinghua, Pochareddy, Sirisha, Rozowsky, Joel, Sestan, Nenad, Sethi, Anurag, Shi, Xu, Szekely, Anna, Wang, Daifeng, Warrell, Jonathan, Weissman, Sherman, Wu, Feinan, Xu, Xuming, Coetzee, Gerard, Farnham, Peggy, Lay, Fides, Rhie, Suhn, Witt, Heather, Wood, Shannon, Yao, Lijing, Gandal, Mike, Polioudakis, Damon, Swarup, Vivek, Won, Hyejung, Giase, Gina, Jiang, Shan, Kefi, Amira, Shieh, Annie, Goes, Fernando, Zandi, Peter, Kim, Yunjung, Mattei, Eugenio, Purcaro, Michael, Pratt, Henry, Peters, Mette A., Sanders, Stephan, Weng, Zhiping, White, Kevin, Arranz, Maria J., Lewis, Cathryn, Lin, Kuang, Walshe, Muriel, Bender, Stephan, Weisbrod, Matthias, Hall, Jeremy, Lawrie, Stephen, Linszen, Don H., Achsel, Tilmann, Bagni, Claudia, Andres-Alonso, Maria, Kreutz, Michael R., Bayés, Àlex, Biederer, Thomas, Brose, Nils, Chua, John Jia En, Coba, Marcelo P., Cornelisse, L. Niels, van Weering, Jan R. T., de Jong, Arthur P. H., MacGillavry, Harold D., de Juan-Sanz, Jaime, Dieterich, Daniela C., Pielot, Rainer, Smalla, Karl-Heinz, Gundelfinger, Eckart D., Goldschmidt, Hana L., Huganir, Richard L., Hoogenraad, Casper, Imig, Cordelia, Jahn, Reinhard, Jung, Hwajin, Kim, Eunjoon, Kaeser, Pascal S., Lipstein, Noa, Malenka, Robert, McPherson, Peter S., O’Connor, Vincent, Ryan, Timothy A., Sala, Carlo, Verpelli, Chiara, Smit, August B., Südhof, Thomas C., Thomas, Paul D., Medical Research Council (UK), National Natural Science Foundation of China, Royal Society (UK), Chinese Academy of Sciences, Shanghai Science and Technology Committee, Research Council of Norway, European Commission, Fundação de Amparo à Pesquisa do Estado de São Paulo, Ministerio de Ciencia e Innovación (España), Instituto de Salud Carlos III, Comunidad de Madrid, Fundación Alicia Koplowitz, Fundación Alonso Lozano, Mental Health Research UK, Wellcome Trust, Brain and Behavior Research Foundation, NIHR Biomedical Research Centre (UK), University College London, Generalitat Valenciana, Internal medicine, Human genetics, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Reproduction & Development (AR&D), Life Course Epidemiology (LCE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Psychiatry, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, RS: MHeNs - R3 - Neuroscience, MUMC+: MA Psychiatrie (3), MUMC+: MA Med Staf Spec Psychiatrie (9), MUMC+: Hersen en Zenuw Centrum (3), Trubetskoy, Vassily, Pardiñas, Antonio F., Qi, Ting, Panagiotaropoulou, Georgia, Benyamin, Beben, O'Donovan, Michael C, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Adult Psychiatry, APH - Mental Health, ANS - Complex Trait Genetics, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, Molecular and Cellular Neurobiology, Functional Genomics, and Complex Trait Genetics

Subjects
Genetics of the nervous system, Schizophrenia/genetics, VARIANTS, PROFILE, Polymorphism, Single Nucleotide, Genome-wide association studies, Article, DISEASE, SDG 3 - Good Health and Well-being, Humans, Genetic Predisposition to Disease, Alleles, Genomics, Genome-Wide Association Study, Schizophrenia, Polymorphism, RISK, ARCHITECTURE, Science & Technology, Multidisciplinary, MUTATIONS, Genetic Predisposition to Disease/genetics, Settore BIO/13, Single Nucleotide, ASSOCIATION, Polymorphism, Single Nucleotide/genetics, STATISTICS, Multidisciplinary Sciences, INDIVIDUALS, Science & Technology - Other Topics, Diseases of the nervous system, ddc:500, Single Nucleotide/genetics, INTEGRATION
Abstract

Schizophrenia has a heritability of 60-80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies., The work at Cardiff University was additionally supported by Medical Research Council Centre grant no. MR/L010305/1 and program grant no. G0800509. S. Xu also gratefully acknowledges the support of the National Natural Science Foundation of China (NSFC) grants (31525014, 91731303, 31771388, 31961130380 and 32041008), the UK Royal Society-Newton Advanced Fellowship (NAF\R1\191094), the Key Research Program of Frontier Sciences (QYZDJ-SSW-SYS009) and the Strategic Priority Research Program (XDB38000000) of the Chinese Academy of Sciences, and the Shanghai Municipal Science and Technology Major Project (2017SHZDZX01). O. A. Andreassen was supported by the Research Council of Norway (283798, 262656, 248980, 273291, 248828, 248778, 223273); KG Jebsen Stiftelsen, South-East Norway Health Authority, EU H2020 no. 847776. B. Melegh was supported in part by the National Scientific Research Program (NKFIH) K 138669. S. V. Faraone is supported by the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 602805, the European Union’s Horizon 2020 research and innovation programme under grant agreements 667302 and 728018 and NIMH grants 5R01MH101519 and U01 MH109536-01. S. I. Belangero was supported by FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo), grant numbers: 2010/08968-6; 2014/07280-1 2011/50740-5 (including R. A. Bressan). The Singapore team (J. Lee, J. Liu, K. Sim, S. A. Chong and M. Subramanian) acknowledges the National Medical Research Council Translational and Clinical Research Flagship Programme (grant no.: NMRC/TCR/003/2008). M. Macek was supported by LM2018132, CZ.02.1.01/0.0/0.0/18_046/0015515 and IP6003 –VZFNM00064203. C. Arango has been funded by the Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III (SAM16PE07CP1, PI16/02012, PI19/024), co-financed by ERDF Funds from the European Commission, ‘A way of making Europe’, CIBERSAM, Madrid Regional Government (B2017/BMD-3740 AGES-CM-2), European Union Structural Funds, European Union Seventh Framework Program and European Union H2020 Program under the Innovative Medicines Initiative 2 Joint Undertaking (grant agreement no 115916, project PRISM; and grant agreement no. 777394, project AIMS-2-TRIALS), Fundación Familia Alonso and Fundación Alicia Koplowitz. E. Bramon acknowledges support from the National Institute of Health Research UK (grant NIHR200756); Mental Health Research UK John Grace QC Scholarship 2018; an ESRC collaborative award 2020; BMA Margaret Temple Fellowship 2016; Medical Research Council New Investigator Award (G0901310); MRC Centenary Award (G1100583); MRC project grant G1100583; National Institute of Health Research UK post-doctoral fellowship (PDA/02/06/016); NARSAD Young Investigator awards 2005 and 2008; Wellcome Trust Research Training Fellowship; Wellcome Trust Case Control Consortium awards (085475/B/08/Z, 085475/Z/08/Z); European Commission Horizon 2020 (747429); NIHR Biomedical Research Centre for Mental Health at the South London and Maudsley NHS Foundation Trust and King’s College London; and NIHR Biomedical Research Centre at University College London Hospitals NHS Foundation Trust and University College London (UCLH BRC - Mental Health Theme). D. Molto is funded by the European Regional Development Fund (ERDF)–Valencian Community 2014–2020, Spain. E. G. Atkinson was supported by the NIMH K01MH121659.

Published
2022

43. A polygenic resilience score moderates the genetic risk for schizophrenia

Author

Hess, Jonathan L, Tylee, Daniel S, Mors, Ole, Duan, Jubao, Dudbridge, Frank, Duncanson, Audrey, Durmishi, Naser, Edkins, Sarah, Ehrenreich, Hannelore, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Esko, Tõnu, Nordentoft, Merete, Essioux, Laurent, Fanous, Ayman H, Farh, Kai-How, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freeman, Colin, Freimer, Nelson B, Friedl, Marion, Hougaard, David M, Friedman, Joseph I, Fromer, Menachem, Gejman, Pablo V, Genovese, Giulio, Georgieva, Lyudmila, Giannoulatou, Eleni, Giegling, Ina, Gill, Michael, Gillman, Matthew, Giusti-Rodríguez, Paola, Byberg-Grauholm, Jonas, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, Gray, Emma, Gurling, Hugh, Gwilliam, Rhian, de Haan, Lieuwe, Hall, Jeremy, Bækvad-Hansen, Marie, Hammer, Christian, Hammond, Naomi, Hamshere, Marian L, Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M, Hellenthal, Garrett, Henskens, Frans A, Herms, Stefan, Greenwood, Tiffany A, Hirschhorn, Joel N, Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V, Huang, Hailiang, Hultman, Christina M, Hunt, Sarah E, Ikeda, Masashi, Iwata, Nakao, Iyegbe, Conrad, Tsuang, Ming T, Jablensky, Assen V, Jankowski, Janusz, Jayakumar, Alagurevathi, Joa, Inge, Jönsson, Erik G, Julià, Antonio, Kähler, Anna K, Kahn, René S, Kalaydjieva, Luba, Karachanak-Yankova, Sena, Curtis, David, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C, Kendler, Kenneth S, Kennedy, James L, Khrunin, Andrey, Kim, Yunjung, Kirov, George, Klovins, Janis, Knight, Jo, Steinberg, Stacy, Knowles, James A, Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Langford, Cordelia, Laurent, Claudine, Lawrie, Stephen, Lee, S Hong, Lee, Phil, Sigurdsson, Engilbert, Lee, Jimmy, Legge, Sophie E, Lencz, Todd, Lerer, Bernard, Levinson, Douglas F, Lewis, Cathryn M, Li, Tao, Li, Qingqin S, Li, Miaoxin, Liang, Kung-Yee, Mattheisen, Manuel, Stefánsson, Hreinn, Liddle, Jennifer, Lieberman, Jeffrey, Limborska, Svetlana, Lin, Kuang, Linszen, Don H, Liu, Jianjun, Lönnqvist, Jouko, Loughland, Carmel M, Lubinski, Jan, Macek, Milan, Stefánsson, Kári, Magnusson, Patrik K E, Maher, Brion S, Maier, Wolfgang, Malhotra, Anil K, Mallet, Jacques, Markus, Hugh S, Marsal, Sara, Mata, Ignacio, Mathew, Christopher G, Mattingsdal, Morten, Edenberg, Howard J, McCann, Owen T, McCarley, Robert W, McCarroll, Steven A, McCarthy, Mark I, McDonald, Colm, McIntosh, Andrew M, McQuillin, Andrew, Meier, Sandra, Meijer, Carin J, Melegh, Bela, Holmans, Peter, Melle, Ingrid, Mesholam-Gately, Raquelle I, Metspalu, Andres, Michie, Patricia T, Milani, Lili, Milanova, Vihra, Mokrab, Younes, Moran, Jennifer L, Morris, Derek W, Mowry, Bryan J, Faraone, Stephen V, Müller-Myhsok, Bertram, Murphy, Kieran C, Murray, Robin M, Myin-Germeys, Inez, Neale, Benjamin M, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A, Nestadt, Gerald, Nicodemus, Kristin K, Glatt, Stephen J, Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, Nöthen, Markus M, O'Callaghan, Eadbhard, O'Donovan, Michael C, O'Dushlaine, Colm, O'Neill, F Anthony, Oh, Sang-Yun, Olincy, Ann, Adolfsson, Rolf, Olsen, Line, Ophoff, Roel A, Van Os, Jim, Owen, Michael J, Palmer, Colin N A, Palotie, Aarno, Pantelis, Christos, Papadimitriou, George N, Papiol, Sergi, Parkhomenko, Elena, Agartz, Ingrid, Pato, Michele T, Pato, Carlos N, Paunio, Tiina, Pearson, Richard, Cairns, Murray J, DeLisi, Lynn E, Gershon, Elliot S, Kelly, Brian J, Lam, Max, Norgren, Nina, Agerbo, Esben, Paciga, Sara A, Tooney, Paul A, Wu, Jing Qin, Pejovic-Milovancevic, Milica, Perkins, Diana O, Pers, Tune H, Petryshen, Tracey L, Pietiläinen, Olli, Pimm, Jonathan, Pirinen, Matti, Albus, Margot, Plomin, Robert, Pocklington, Andrew J, Posthuma, Danielle, Potter, Simon C, Powell, John, Price, Alkes, Pulver, Ann E, Purcell, Shaun M, Quested, Digby, Rasmussen, Henrik B, Consortium, Schizophrenia Working Group of the Psychiatric Genomics, Alexander, Madeline, Rautanen, Anna, Ravindrarajah, Radhi, Reichenberg, Abraham, Reimers, Mark A, Richards, Alexander L, Ricketts, Michelle, Rietschel, Marcella, Riley, Brien P, Ripke, Stephan, Roffman, Joshua L, Amin, Farooq, Roussos, Panos, Ruderfer, Douglas M, Rujescu, Dan, Salomaa, Veikko, Sanders, Alan R, Sawcer, Stephen J, Schall, Ulrich, Schubert, Christian R, Schulze, Thomas G, Schwab, Sibylle G, Andreassen, Ole A, Scolnick, Edward M, Scott, Rodney J, Seidman, Larry J, Sham, Pak C, Shi, Jianxin, Silagadze, Teimuraz, Silverman, Jeremy M, Sim, Kang, Sklar, Pamela, Arranz, Maria J, Slominsky, Petr, Smoller, Jordan W, So, Hon-Cheong, Söderman, Erik, Spencer, Chris C A, Clair, David St, Stahl, Eli A, Stogmann, Elisabeth, Strange, Amy, Straub, Richard E, Bacanu, Silviu A, Strengman, Eric, Strohmaier, Jana, Stroup, T Scott, Su, Zhan, Subramaniam, Mythily, Sullivan, Patrick F, Suvisaari, Jaana, Svrakic, Dragan M, Szatkiewicz, Jin P, Tashakkori-Ghanbaria, Avazeh, Bakker, Steven, Thirumalai, Srinivas, Toncheva, Draga, Tosato, Sarah, Trembath, Richard C, Veijola, Juha, Visscher, Peter M, Viswanathan, Ananth C, Vukcevic, Damjan, Waddington, John, Waller, Matthew, Band, Gavin, Walsh, Dermot, Walshe, Muriel, Walters, James T R, Wang, Qiang, Wang, Dai, Webb, Bradley T, Weinberger, Daniel R, Weisbrod, Matthias, Weiser, Mark, Wendland, Jens R, Barroso, Ines, Weston, Paul, Whittaker, Pamela, Widaa, Sara, Wiersma, Durk, Wildenauer, Dieter B, Williams, Stephanie, Williams, Nigel M, Witt, Stephanie H, Wolen, Aaron R, Wong, Emily H M, Begemann, Martin, Wood, Nicholas W, Wormley, Brandon K, Wray, Naomi R, Xi, Hualin Simon, Zai, Clement C, Zheng, Xuebin, Zimprich, Fritz, Bellenguez, Céline, Research, Lundbeck Foundation Initiative for Integrative Psychiatric, Belliveau, Richard A, Bender, Stephan, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Blackburn, Hannah, Blackwell, Jenefer M, Blackwood, Douglas H R, Børglum, Anders D, Bramon, Elvira, Brown, Matthew A, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Bulik-Sullivan, Brendan, Bumpstead, Suzannah J, Buxbaum, Joseph D, Byerley, William, Cahn, Wiepke, Als, Thomas D, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Casas, Juan P, Catts, Stanley V, Chambert, Kimberley D, Chan, Ronald Y L, Chan, Raymond C K, Grove, Jakob, Chen, Eric Y H, Cheng, Wei, Cheung, Eric F C, Chong, Siow Ann, Cichon, Sven, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Collier, David A, Cormican, Paul, Werge, Thomas, Corvin, Aiden, Craddock, Nick, Crespo-Facorro, Benedicto, Crowley, James J, Daly, Mark J, Darvasi, Ariel, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, Mortensen, Preben Bo, Deloukas, Panos, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Domenici, Enrico, Donnelly, Peter, Donohoe, Gary, Drapeau, Elodie, Dronov, Serge, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Adult Psychiatry, ANS - Complex Trait Genetics, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, Hess, Jonathan L, Tylee, Daniel S, Mattheisen, Manuel, Borglum, Anders D, Glatt, Stephen J, Lee, Sand Hong, Schizophrenia Working Group of thePsychiatric Genomics Consortium, Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Amsterdam Neuroscience - Complex Trait Genetics, Complex Trait Genetics, and Myin-Germeys, Inez

Subjects
Multifactorial Inheritance, Schizophrenia/genetics, Genome-wide association study, Disease, Medical and Health Sciences, 0302 clinical medicine, Risk Factors, schizophrenia, genetics, risk, 2.1 Biological and endogenous factors, genetics, polygenic score, Aetiology, genome wide association study, risk, Genetics, Psychiatry, 0303 health sciences, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Genetic Predisposition to Disease/genetics, Single Nucleotide, Genomics, Biological Sciences, Serious Mental Illness, Polymorphism, Single Nucleotide/genetics, Penetrance, 3. Good health, Psychiatry and Mental health, Mental Health, Mendelian disease, Erfðarannsóknir, Life Sciences & Biomedicine, Single Nucleotide/genetics, Biochemistry & Molecular Biology, Schizophrenia (object-oriented programming), high risk, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Geðklofi, Humans, Genetic Predisposition to Disease, ddc:610, Allele, Polymorphism, Resilience (network), Molecular Biology, resilience, Multifactorial Inheritance/genetics, Alleles, 030304 developmental biology, Science & Technology, Prevention, Human Genome, Psychology and Cognitive Sciences, Neurosciences, Brain Disorders, Lundbeck Foundation Initiative for Integrative Psychiatric Research, schizophrenia, Good Health and Well Being, Schizophrenia, Neurosciences & Neurology, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Publisher's version (útgefin grein), Based on the discovery by the Resilience Project (Chen R. et al. Nat Biotechnol 34:531–538, 2016) of rare variants that confer resistance to Mendelian disease, and protective alleles for some complex diseases, we posited the existence of genetic variants that promote resilience to highly heritable polygenic disorders1,0 such as schizophrenia. Resilience has been traditionally viewed as a psychological construct, although our use of the term resilience refers to a different construct that directly relates to the Resilience Project, namely: heritable variation that promotes resistance to disease by reducing the penetrance of risk loci, wherein resilience and risk loci operate orthogonal to one another. In this study, we established a procedure to identify unaffected individuals with relatively high polygenic risk for schizophrenia, and contrasted them with risk-matched schizophrenia cases to generate the first known “polygenic resilience score” that represents the additive contributions to SZ resistance by variants that are distinct from risk loci. The resilience score was derived from data compiled by the Psychiatric Genomics Consortium, and replicated in three independent samples. This work establishes a generalizable framework for finding resilience variants for any complex, heritable disorder., SJG is supported by grants from the U.S. National Institutes of Health (5R01MH101519, 5R01AG054002), the Sidney R. Baer, Jr. Foundation, and NARSAD: The Brain & Behavior Research Foundation. SVF is supported by the K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway, the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement number 602805, the European Union’s Horizon 2020 research and innovation programme under grant agreement number 667302 and NIMH grants 5R01MH101519 and U01 MH109536-01. HJE is supported by grants from the U.S. National Institutes of Health (U10 AA008401; U01 MH109532). Statistical analyses were conducted on the Genetic Cluster Computer, which is financially supported by the Netherlands Scientific Organization (NOW; 480-05-003) along with a supplement from the Dutch Brain Foundation and VU University. The Danish iPSYCH (The Lundbeck Foundation Initiative for Integrative Psychiatric Research) and GEMS2 teams acknowledge funding from The Lundbeck Foundation (grant no R102-A9118 and R155-2014-1724), the Stanley Medical Research Institute, an Advanced Grant from the European Research Council (project no: 294838), the Danish Strategic Research Council and grants from Aarhus University to the iSEQ and CIRRAU centers. The Danish National Biobank resource at Statens Serum Institut was supported by the Novo Nordisk Foundation. Computational resources for handling and statistical analysis of iPSYCH data on the GenomeDK HPC facility were provided by the iSEQ center, Aarhus University, Denmark (grant to ADB).

Published
2021

44. Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants With Treatment Resistance in Schizophrenia

Author

Pardiñas, Antonio F., Smart, Sophie E., Corvin, Aiden, Freimer, Nelson B., Friedl, Marion, Friedman, Joseph I., Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Gershon, Elliot S., Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Fanous, Ayman H., Goldstein, Jacqueline I., Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, Haan, Lieuwe de, Hammer, Christian, Hamshere, Marian L., Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Frank, Josef, Hartmann, Annette M., Henskens, Frans A., Herms, Stefan, Hirschhorn, Joel N., Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V., Hougaard, David M., Ikeda, Masashi, Joa, Inge, Kelly, Brian, Julià, Antonio, Kahn, René S., Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C., Kennedy, James L., Khrunin, Andrey, Kim, Yunjung, McQuillin, Andrew, Klovins, Janis, Knowles, James A., Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kähler, Anna K., Laurent, Claudine, Keong, Jimmy Lee Chee, Lee, S. Hong, Melle, Ingrid, Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung-Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M., Lubinski, Jan, Lönnqvist, Jouko, Macek, Milan, Mortensen, Preben B., Magnusson, Patrik K. E., Maher, Brion S., Maier, Wolfgang, Mallet, Jacques, Marsal, Sara, Mattheisen, Manuel, Mattingsdal, Morten, McCarley, Robert W., McDonald, Colm, McIntosh, Andrew M., Mowry, Bryan J., Meier, Sandra, Meijer, Carin J., Melegh, Bela, Mesholam-Gately, Raquelle I., Metspalu, Andres, Michie, Patricia T., Milani, Lili, Milanova, Vihra, Mokrab, Younes, Pato, Carlos N., Morris, Derek W., Mors, Ole, Murphy, Kieran C., Myin-Germeys, Inez, Müller-Myhsok, Bertram, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A., Nestadt, Gerald, Nicodemus, Kristin K., Periyasamy, Sathish, Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O’Callaghan, Eadbhard, O’Dushlaine, Colm, O’Neill, F. Anthony, Oh, Sang-Yun, Olincy, Ann, Olsen, Line, Os, Jim Van, Willcocks, Isabella R., Rietschel, Marcella, Pantelis, Christos, Papadimitriou, George N., Papiol, Sergi, Parkhomenko, Elena, Pato, Michele T., Paunio, Tiina, Pejovic-Milovancevic, Milica, Perkins, Diana O., Pietiläinen, Olli, Pimm, Jonathan, Rujescu, Dan, Pocklington, Andrew J., Powell, John, Price, Alkes, Pulver, Ann E., Purcell, Shaun M., Quested, Digby, Rasmussen, Henrik B., Reichenberg, Abraham, Reimers, Mark A., Richards, Alexander L., Simonsen, Carmen, Roffman, Joshua L., Roussos, Panos, Ruderfer, Douglas M., Salomaa, Veikko, Sanders, Alan R., Schall, Ulrich, Schubert, Christian R., Schulze, Thomas G., Schwab, Sibylle G., Scolnick, Edward M., St Clair, David, Scott, Rodney J., Seidman, Larry J., Shi, Jianxin, Sigurdsson, Engilbert, Silagadze, Teimuraz, Silverman, Jeremy M., Sim, Kang, Slominsky, Petr, Smoller, Jordan W., So, Hon-Cheong, Tooney, Paul, Spencer, Chris C. A., Stahl, Eli A., Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E., Strengman, Eric, Strohmaier, Jana, Stroup, T. Scott, Subramaniam, Mythily, Wu, Jing Qin, Suvisaari, Jaana, Svrakic, Dragan M., Szatkiewicz, Jin P., Söderman, Erik, Thirumalai, Srinivas, Toncheva, Draga, Tosato, Sarah, Veijola, Juha, Waddington, John, Walsh, Dermot, Andreassen, Ole A., Wang, Dai, Wang, Qiang, Webb, Bradley T., Weiser, Mark, Wildenauer, Dieter B., Williams, Nigel M., Williams, Stephanie, Witt, Stephanie H., Wolen, Aaron R., Wong, Emily H. M., Kowalec, Kaarina, Wormley, Brandon K., Xi, Hualin Simon, Zai, Clement C., Zheng, Xuebin, Zimprich, Fritz, Wray, Naomi R., Stefansson, Kari, Visscher, Peter M., Adolfsson, Rolf, Blackwood, Douglas H. R., Sullivan, Patrick F., Bramon, Elvira, Buxbaum, Joseph D., Børglum, Anders D., Cichon, Sven, Darvasi, Ariel, Domenici, Enrico, Ehrenreich, Hannelore, Esko, Tõnu, Gejman, Pablo V., Gill, Michael, Murray, Robin M., Gurling, Hugh, Hultman, Christina M., Iwata, Nakao, Jablensky, Assen V., Jönsson, Erik G., Kendler, Kenneth S., Kirov, George, Knight, Jo, Lencz, Todd, Levinson, Douglas F., Holmans, Peter A., Owen, Michael J., Li, Qingqin S., Liu, Jianjun, Malhotra, Anil K., McCarroll, Steven A., Moran, Jennifer L., Nöthen, Markus M., Ophoff, Roel A., Palotie, Aarno, Petryshen, Tracey L., MacCabe, James H., Posthuma, Danielle, Riley, Brien P., Sham, Pak C., Sklar, Pamela, Clair, David St, Weinberger, Daniel R., Wendland, Jens R., Werge, Thomas, Daly, Mark J., Agbedjro, Deborah, O’Donovan, Michael C., Stahl, Daniel, Kapur, Shitij, Millgate, Edward, Kepinska, Adrianna, Kravariti, Eugenia, Ajnakina, Olesya, Alameda, Luis, Barnes, Thomas R. E., Berardi, Domenico, Bonora, Elena, Walters, James T. R., Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D’Andrea, Giuseppe, Demjaha, Arsime, Do, Kim Q., Doody, Gillian A., Eap, Chin B., Ferchiou, Aziz, Ripke, Stephan, Di Forti, Marta, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen M., Kassoumeri, Laura, Khadimallah, Inès, Lastrina, Ornella, Muratori, Roberto, Noyan, Handan, Neale, Benjamin M., O’Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Schürhoff, Franck, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Farh, Kai-How, Vázquez-Bourgon, Javier, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A., Dennison, Charlotte A., Huang, Hailiang, Pers, Tune H., Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A., Begemann, Martin, Belliveau, Richard A ., Lynham, Amy J., Bene, Judit, Bergen, Sarah E., Bevilacqua, Elizabeth, Black, Donald W., Bruggeman, Richard, Buccola, Nancy G., Buckner, Randy L., Byerley, William, Cahn, Wiepke, Cai, Guiqing, Legge, Sophie E., Campion, Dominique, Cantor, Rita M., Carr, Vaughan J., Carrera, Noa, Catts, Stanley V., Chambert, Kimberly D., Chan, Raymond C. K., Chen, Ronald Y. L., Chen, Eric Y. H., Cheng, Wei, Baune, Bernhard T., Cheung, Eric F. C., Chong, Siow Ann, Cloninger, C. 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G. Jebsen Centres for Medical Research, National Institute for Health Research (UK), University College London, Government of Canada, University of Manitoba, Swedish Research Council, National Institute of Mental Health (US), Kings College London, Public Health Agency (Northern Ireland), The Psychiatry Research Trust, Maudsley Charity, Swiss National Science Foundation, Fondation Alamaya, Ministry of Health of the Czech Republic, Instituto de Salud Carlos III, Plan Nacional sobre Drogas (España), Fundació Seny, Fundación Marques de Valdecilla, Ministerio de Economía y Competitividad (España), Wellcome Trust, and Universidad de Cantabria

Subjects
Male, endocrine system, Multifactorial Inheritance, animal structures, Psychiatry and Behavioral Health, Online First, Humans, Genetic Predisposition to Disease, ddc:610, Neurogenetics, Medicinsk genetik, Original Investigation, Research, Schizophrenia Sprectum and Other Psychotic Disorders, Featured, Genetics and genomics, Psychiatry and Mental health, Neurology, Psychotic Disorders, Schizophrenia, Female, Medical Genetics, hormones, hormone substitutes, and hormone antagonists, Comments, Genome-Wide Association Study
Abstract

[Importance] About 20% to 30% of people with schizophrenia have psychotic symptoms that do not respond adequately to first-line antipsychotic treatment. This clinical presentation, chronic and highly disabling, is known as treatment-resistant schizophrenia (TRS). The causes of treatment resistance and their relationships with causes underlying schizophrenia are largely unknown. Adequately powered genetic studies of TRS are scarce because of the difficulty in collecting data from well-characterized TRS cohorts., [Objective] To examine the genetic architecture of TRS through the reassessment of genetic data from schizophrenia studies and its validation in carefully ascertained clinical samples., [Design, Setting, and Participants] Two case-control genome-wide association studies (GWASs) of schizophrenia were performed in which the case samples were defined as individuals with TRS (n = 10 501) and individuals with non-TRS (n = 20 325). The differences in effect sizes for allelic associations were then determined between both studies, the reasoning being such differences reflect treatment resistance instead of schizophrenia. Genotype data were retrieved from the CLOZUK and Psychiatric Genomics Consortium (PGC) schizophrenia studies. The output was validated using polygenic risk score (PRS) profiling of 2 independent schizophrenia cohorts with TRS and non-TRS: a prevalence sample with 817 individuals (Cardiff Cognition in Schizophrenia [CardiffCOGS]) and an incidence sample with 563 individuals (Genetics Workstream of the Schizophrenia Treatment Resistance and Therapeutic Advances [STRATA-G])., [Main Outcomes and Measures] GWAS of treatment resistance in schizophrenia. The results of the GWAS were compared with complex polygenic traits through a genetic correlation approach and were used for PRS analysis on the independent validation cohorts using the same TRS definition., [Results] The study included a total of 85 490 participants (48 635 [56.9%] male) in its GWAS stage and 1380 participants (859 [62.2%] male) in its PRS validation stage. Treatment resistance in schizophrenia emerged as a polygenic trait with detectable heritability (1% to 4%), and several traits related to intelligence and cognition were found to be genetically correlated with it (genetic correlation, 0.41-0.69). PRS analysis in the CardiffCOGS prevalence sample showed a positive association between TRS and a history of taking clozapine (r2 = 2.03%; P = .001), which was replicated in the STRATA-G incidence sample (r2 = 1.09%; P = .04)., [Conclusions and Relevance] In this GWAS, common genetic variants were differentially associated with TRS, and these associations may have been obscured through the amalgamation of large GWAS samples in previous studies of broadly defined schizophrenia. Findings of this study suggest the validity of meta-analytic approaches for studies on patient outcomes, including treatment resistance., This work was supported by Medical Research Council Centre grant MR/L010305/1, Medical Research Council Program grant MR/P005748/1, and Medical Research Council Project grants MR/L011794/1 and MC_PC_17212 to Cardiff University and by the National Centre for Mental Health, funded by the Welsh Government through Health and Care Research Wales. This work acknowledges the support of the Supercomputing Wales project, which is partially funded by the European Regional Development Fund via the Welsh Government. Dr Pardiñas was supported by an Academy of Medical Sciences Springboard Award (SBF005\1083). Dr Andreassen was supported by the Research Council of Norway (grants 283798, 262656, 248980, 273291, 248828, 248778, and 223273); KG Jebsen Stiftelsen, South-East Norway Health Authority, and the European Union’s Horizon 2020 Research and Innovation Programme (grant 847776). Dr Ajnakina was supported by an National Institute for Health Research postdoctoral fellowship (PDF-2018-11-ST2-020). Dr Joyce was supported by the University College London Hospitals/UCL University College London Biomedical Research Centre. Dr Kowalec received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement (793530) from the government of Canada Banting postdoctoral fellowship programme and the University of Manitoba. Dr Sullivan was supported by the Swedish Research Council (Vetenskapsrådet, D0886501), the European Union’s Horizon 2020 programme (COSYN, 610307) and the US National Institute of Mental Health (U01 MH109528 and R01 MH077139). The Psychiatric Genomics Consortium was partly supported by the National Institute Of Mental Health (grants R01MH124873). The Sweden Schizophrenia Study was supported by the National Institute Of Mental Health (grant R01MH077139). The STRATA consortium was supported by a Stratified Medicine Programme grant to Dr MacCabe from the Medical Research Council (grant MR/L011794/1), which funded the research and supported Drs Pardiñas, Smart, Kassoumeri, Murray, Walters, and MacCabe. Dr Smart was supported by a Collaboration for Leadership in Applied Health Research and Care South London at King’s College Hospital National Health Service Foundation Trust. The AESOP (US) cohort was funded by the UK Medical Research Council (grant G0500817). The Belfast (UK) cohort was funded by the Research and Development Office of Northern Ireland. The Bologna (Italy) cohort was funded by the European Community’s Seventh Framework program (HEALTH-F2-2010–241909, project EU-GEI). The Genetics and Psychosis project (London, UK) cohort was funded by the UK National Institute of Health Research Specialist Biomedical Research Centre for Mental Health, South London and the Maudsley National Health Service Mental Health Foundation Trust (SLAM) and the Institute of Psychiatry, Psychology, and Neuroscience at King’s College London; Psychiatry Research Trust; Maudsley Charity Research Fund; and the European Community’s Seventh Framework program (HEALTH-F2-2009-241909, project EU-GEI). The Lausanne (Switzerland) cohort was funded by the Swiss National Science Foundation (grants 320030_135736/1, 320030-120686, 324730-144064, 320030-173211, and 171804); the National Center of Competence in Research Synaptic Bases of Mental Diseases from the Swiss National Science Foundation (grant 51AU40_125759); and Fondation Alamaya. The Oslo (Norway) cohort was funded by the Research Council of Norway (grant 223273/F50, under the Centers of Excellence funding scheme, 300309, 283798) and the South-Eastern Norway Regional Health Authority (grants 2006233, 2006258, 2011085, 2014102, 2015088, and 2017-112). The Paris (France) cohort was funded by European Community’s Seventh Framework program (HEALTH-F2-2010–241909, project EU-GEI). The Prague (Czech Republic) cohort was funded by the Ministry of Health of the Czech Republic (grant NU20-04-00393). The Santander (Spain) cohort was funded by the following grants to Dr Crespo-Facorro: Instituto de Salud Carlos III (grants FIS00/3095, PI020499, PI050427, and PI060507), Plan Nacional de Drogas Research (grant 2005-Orden sco/3246/2004), SENY Fundatio Research (grant 2005-0308007), Fundacion Marques de Valdecilla (grant A/02/07, API07/011) and Ministry of Economy and Competitiveness and the European Fund for Regional Development (grants SAF2016-76046-R and SAF2013-46292-R). The West London (UK) cohort was funded by The Wellcome Trust (grants 042025, 052247, and 064607).

Published
2022

45. Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders

Author

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Fermin Perez, Craig, David W, Cruceanu, Cristiana, Czerski, Piotr M, Dale, Anders M, de Jong, Simone, Del-Favero, Jurgen, Djurovic, Srdjan, Dobbyn, Amanda L, Haro González, Jesus, Dumont, Ashley, Elvsåshagen, Torbjørn, Fan, Chun Chieh, Fischer, Sascha B, Flickinger, Matthew, Foroud, Tatiana M, Forty, Liz, Fraser, Christine, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, Epidemiology and Data Science, APH - Digital Health, Andlauer T.F.M., Guzman-Parra J., Streit F., Strohmaier J., Gonzalez M.J., Gil Flores S., Cabaleiro Fabeiro F.J., del Rio Noriega F., Perez F.P., Haro Gonzalez J., Orozco Diaz G., de Diego-Otero Y., Moreno-Kustner B., Auburger G., Degenhardt F., Heilmann-Heimbach S., Herms S., Hoffmann P., Frank J., Foo J.C., Treutlein J., Witt S.H., Cichon S., Kogevinas M., Stahl E.A., Breen G., Forstner A.J., McQuillin A., Ripke S., Trubetskoy V., Mattheisen M., Wang Y., Coleman J.R.I., Gaspar H.A., de Leeuw C.A., Steinberg S., Pavlides J.M.W., Trzaskowski M., Pers T.H., Holmans P.A., Abbott L., Agerbo E., Akil H., Albani D., Alliey-Rodriguez N., Als T.D., Anjorin A., Antilla V., Awasthi S., Badner J.A., Baekvad-Hansen M., Barchas J.D., Bass N., Bauer M., Belliveau R., Bergen S.E., Pedersen C.B., Boen E., Boks M., Boocock J., Budde M., Bunney W., Burmeister M., Bybjerg-Grauholm J., Byerley W., Casas M., Cerrato F., Cervantes P., Chambert K., Charney A.W., Chen D., Churchhouse C., Clarke T.-K., Coryell W., Craig D.W., Cruceanu C., Czerski P.M., Dale A.M., de Jong S., Del-Favero J., DePaulo J.R., Djurovic S., Dobbyn A.L., Dumont A., Elvsashagen T., Escott-Price V., Fan C.C., Fischer S.B., Flickinger M., Foroud T.M., Forty L., Fraser C., Freimer N.B., Frisen L., Gade K., Gage D., Garnham J., Giambartolomei C., Pedersen M.G., Goldstein J., Gordon S.D., Gordon-Smith K., Green E.K., Green M.J., Greenwood T.A., Grove J., Guan W., Parra J.G., Hamshere M.L., Hautzinger M., Heilbronner U., Hipolito M., Holland D., Huckins L., Jamain S., Johnson J.S., Jureus A., Kandaswamy R., Karlsson R., Kennedy J.L., Kittel-Schneider S., Knowles J.A., Koller A.C., Kupka R., Lavebratt C., Lawrence J., Lawson W.B., Leber M., Lee P.H., Levy S.E., Li J.Z., Liu C., Lucae S., Maaser A., MacIntyre D.J., Mahon P.B., Maier W., Martinsson L., McCarroll S., McGuffin P., McInnis M.G., McKay J.D., Medeiros H., Medland S.E., Meng F., Milani L., Montgomery G.W., Morris D.W., Muhleisen T.W., Mullins N., Nguyen H., Nievergelt C.M., Adolfsson A.N., Nwulia E.A., O'Donovan C., Loohuis L.M.O., Ori A.P.S., Oruc L., Osby U., Perlis R.H., Perry A., Pfennig A., Potash J.B., Purcell S.M., Regeer E.J., Reif A., Reinbold C.S., Rice J.P., Richards A.L., Rivas F., Rivera M., Roussos P., Ruderfer D.M., Ryu E., Sanchez-Mora C., Schatzberg A.F., Scheftner W.A., Schork N.J., Weickert C.S., Shehktman T., Shilling P.D., Sigurdsson E., Slaney C., Smeland O.B., Sobell J.L., Hansen C.S., Spijker A.T., Clair D.S., Steffens M., Strauss J.S., Szelinger S., Thompson R.C., EThorgeirsson T., Vedde H., Wang W., Watson S.J., Weickert T.W., Xi S., Xu W., Young A.H., Zandi P., Zhang P., Zollner S., Adolfsson R., Agartz I., Alda M., Backlund L., Baune B.T., Bellivier F., Berrettini W.H., Biernacka J.M., Blackwood D.H.R., Boehnke M., Borglum A.D., Corvin A., Craddock N., Daly M.J., Dannlowski U., Esko T., Etain B., Frye M., Fullerton J.M., Gershon E.S., Gill M., Goes F., Grigoroiu-Serbanescu M., Hauser J., Hougaard D.M., Hultman C.M., Jones I., Jones L.A., Kahn R.S., Kirov G., Landen M., Leboyer M., Lewis C.M., Li Q.S., Lissowska J., Martin N.G., Mayoral F., McElroy S.L., McIntosh A.M., McMahon F.J., Melle I., Metspalu A., Mitchell P.B., Morken G., Mors O., Mortensen P.B., Muller-Myhsok B., Myers R.M., Neale B.M., Nimgaonkar V., Nordentoft M., Nothen M.M., O'Donovan M.C., Oedegaard K.J., Owen M.J., Paciga S.A., Pato C., Pato M.T., Posthuma D., Ramos-Quiroga J.A., Ribases M., Rietschel M., Rouleau G.A., Schalling M., Schofield P.R., Schulze T.G., Serretti A., Smoller J.W., Stefansson H., Stefansson K., Stordal E., Sullivan P.F., Turecki G., Vaaler A.E., Vieta E., Vincent J.B., Werge T., Nurnberger J.I., Wray N.R., Florio A.D., Edenberg H.J., Ophoff R.A., Scott L.J., Andreassen O.A., Kelsoe J., Sklar P., Byrne E.M., Abdellaoui A., Adams M.J., Air T.M., Bacanu S.-A., Beekman A.T.F., Bigdeli T.B., Binder E.B., Bryois J., Buttenschon H.N., Cai N., Castelao E., Christensen J.H., Colodro-Conde L., Couvy-Duchesne B., Crawford G.E., Davies G., Deary I.J., Derks E.M., Direk N., Dolan C.V., Dunn E.C., Eley T.C., Kiadeh F.F.H., Finucane H.K., Goes F.S., Hall L.S., Hansen T.F., Hickie I.B., Homuth G., Horn C., Hottenga J.-J., Howard D.M., Ising M., Jansen R., Jorgenson E., Kohane I.S., Hill, Kraft J., Kretzschmar W.W., Kutalik Z., Li Y., Lind P.A., MacKinnon D.F., Maier R.M., Marchini J., Mbarek H., McGrath P., Mehta D., Middeldorp C.M., Mihailov E., Milaneschi Y., Mondimore F.M., Mostafavi S., Nauck M., Ng B., Nivard M.G., Nyholt D.R., O'Reilly P.F., Oskarsson H., Painter J.N., Peterson R.E., Pettersson E., Peyrot W.J., Pistis G., Quiroz J.A., Qvist P., Riley B.P., Mirza S.S., Schoevers R., Schulte E.C., Shen L., Shi J., Shyn S.I., Sinnamon G.C.B., Smit J.H., Smith D.J., Tansey K.E., Teismann H., Teumer A., Thompson W., Thomson P.A., Thorgeirsson T.E., Traylor M., Uitterlinden A.G., Umbricht D., Van der Auwera S., van Hemert A.M., Viktorin A., Visscher P.M., Webb B.T., Weinsheimer S.M., Wellmann J., Willemsen G., Wu Y., Xi H.S., Yang J., Zhang F., Arolt V., Berger K., Boomsma D.I., de Geus E.J.C., Domenici E., Domschke K., Grabe H.J., Hamilton S.P., Hayward C., Heath A.C., Kendler K.S., Kloiber S., Lewis G., Madden P.A.F., Magnusson P.K., Pedersen N.L., Penninx B.W.J.H., Porteous D.J., Preisig M., Schaefer C., Tiemeier H., Uher R., Volzke H., Weissman M.M., Levinson D.F., Child and Adolescent Psychiatry / Psychology, Epidemiology, Internal Medicine, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, APH - Methodology, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, and Adult Psychiatry

Subjects
Netherlands Twin Register (NTR), Genetic variants, Bipolar Disorder, Specific risk, Disease, 0302 clinical medicine, Multiplex, Genetic risk, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Depression (differential diagnoses), 0303 health sciences, Depression, ddc, 3. Good health, Geðraskanir, Psychiatry and Mental health, Schizophrenia, Cohort, Major depressive disorder, Case-Control Studie, Human, medicine.medical_specialty, Bipolar disorder, Article, Cellular and Molecular Neuroscience, 03 medical and health sciences, Geðklofi, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, ddc:610, Psychiatry, Þunglyndi, Molecular Biology, 030304 developmental biology, Depressive Disorder, Major, Geðhvarfasýki, business.industry, Psychiatric disorder, medicine.disease, Genarannsóknir, Case-Control Studies, Multiple comparisons problem, business, 030217 neurology & neurosurgery
Abstract

Publisher's version, Multiplex families with a high prevalence of a psychiatric disorder are often examined to identify rare genetic variants with large effect sizes. In the present study, we analysed whether the risk for bipolar disorder (BD) in BD multiplex families is influenced by common genetic variants. Furthermore, we investigated whether this risk is conferred mainly by BD-specific risk variants or by variants also associated with the susceptibility to schizophrenia or major depression. In total, 395 individuals from 33 Andalusian BD multiplex families (166 BD, 78 major depressive disorder, 151 unaffected) as well as 438 subjects from an independent, BD case/control cohort (161 unrelated BD, 277 unrelated controls) were analysed. Polygenic risk scores (PRS) for BD, schizophrenia (SCZ), and major depression were calculated and compared between the cohorts. Both the familial BD cases and unaffected family members had higher PRS for all three psychiatric disorders than the independent controls, with BD and SCZ being significant after correction for multiple testing, suggesting a high baseline risk for several psychiatric disorders in the families. Moreover, familial BD cases showed significantly higher BD PRS than unaffected family members and unrelated BD cases. A plausible hypothesis is that, in multiplex families with a general increase in risk for psychiatric disease, BD development is attributable to a high burden of common variants that confer a specific risk for BD. The present analyses demonstrated that common genetic risk variants for psychiatric disorders are likely to contribute to the high incidence of affective psychiatric disorders in the multiplex families. However, the PRS explained only part of the observed phenotypic variance, and rare variants might have also contributed to disease development., The study was supported by the German Federal Ministry of Education and Research (BMBF), through the Integrated Network IntegraMent, under the auspices of the e:Med programme (grants 01ZX1314A to MMN and SC; 01ZX1314G to MR; 01ZX1614J to BMM) through grants 01EE1406C to MR and 01EE1409C to MR and SHW, and through ERA-NET NEURON, “SynSchiz—Linking synaptic dysfunction to disease mechanisms in schizophrenia—a multilevel investigation” (01EW1810 to MR) and BMBF grants 01EE1409C and 01EE1406C to MR and SHW; by the German Research Foundation (DFG grants FOR2107; RI908/11-2 to MR; NO246/10-2 to MMN; MU1315/8-2 to BMM; WI 3439/3-2 to SHW), by the Andalusian regional Health and Innovation Government (grants PI-0060-2017, RC-0006-2015 the Nicolas Monarde Programme for YDO and CTS-546) and by the Swiss National Science Foundation (SNSF grant 156791 to SC). MMN is a member of the DFG-funded cluster of excellence ImmunoSensation. The PGC has received major funding from the US National Institute of Mental Health and the US National Institute of Drug Abuse (U01 MH109528 and U01 MH1095320). We thank the research participants and employees of 23andMe, Inc. for their contribution to the MDD meta-analysis published in [14]. We thank the International Genomics of Alzheimer's Project (IGAP) for providing summary results data for the present analyses. See the Supplementary Data for extended Acknowledgements.

Published
2021

46. Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression

Author

Glanville, Kylie P, Coleman, Jonathan R I, Binder, Elisabeth B, Hall, Lynsey S, Hansen, Christine Søholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Blackwood, Douglas H R, Howard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Boomsma, Dorret I, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, Buttenschøn, Henriette N, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Colodro-Conde, Lucía, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bøcker, Dannlowski, Udo, Pedersen, Marianne Giørtz, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Direk, Nese, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant C B, Smit, Johannes H, Dunn, Erin C, Smith, Daniel J, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Forstner, Andreas J, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andrés G, Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, de Geus, Eco J C, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Hanscombe, Ken B, Grabe, Hans J, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Cichon, Sven, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Hamilton, Steven P, Esko, Tõnu, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela Af, Magnusson, Patrik K, Martin, Nicholas G, McIntosh, Andrew M, Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda W J H, Perlis, Roy H, Porteous, David J, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M, Werge, Thomas, Lewis, Cathryn M, Levinson, Douglas F, Breen, Gerome, Børglum, Anders D, Sullivan, Patrick F, Euesden, Jack, Choi, Shing Wan, Ripke, Stephan, Purves, Kirstin L, Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Wray, Naomi R, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till F M, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Bryois, Julien, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Degenhardt, Franziska, Derks, Eske M, Dolan, Conor V, Eley, Thalia C, Escott-Price, Valentina, Hassan Kiadeh, Farnush Farhadi, Finucane, Hilary K, Foo, Jerome C, Frank, Josef, Gaspar, Héléna A, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Adult Psychiatry, APH - Mental Health, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., Binder, E.B., Bryois, J., Buttenschøn, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, JRI, 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., Hassan Kiadeh, F.F., Finucane, H.K., Foo, J.C., 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., Howard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., 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., 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., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, 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., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, E., 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., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Müller-Myhsok, B., Nordentoft, M., Nöthen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, BWJH, Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Völzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Børglum, A.D., Sullivan, P.F., Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, APH - Methodology, Functional Genomics, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, Epidemiology, Child and Adolescent Psychiatry / Psychology, Psychiatry, Internal Medicine, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Digital Health, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), and Perceptual and Cognitive Neuroscience (PCN)

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Major histocompatibility complex, LOCI, Complement, Autoimmune disorder, Genome-wide association study, Human leukocyte antigen, Genetic association, Major depressive disorder, Article, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, HLA Antigens, Genetic predisposition, IMPUTATION, Humans, ANXIETY, Genetic Predisposition to Disease, ddc:610, GENOME-WIDE ASSOCIATION, AUTOIMMUNE-DISEASE, Biological Psychiatry, Alleles, Complement component 4, Depressive Disorder, Major, Major histoconnpatibility complex, COMPLEX, biology, Depression, Haplotype, Odds ratio, ddc, 3. Good health, 030104 developmental biology, Haplotypes, Immunology, biology.protein, RISK-FACTORS, INFERENCE, HEALTH, 030217 neurology & neurosurgery
Abstract

Background\ud \ud The prevalence of depression is higher in individuals with autoimmune diseases, but the mechanisms underlying the observed comorbidities are unknown. Shared genetic etiology is a plausible explanation for the overlap, and in this study we tested whether genetic variation in the major histocompatibility complex (MHC), which is associated with risk for autoimmune diseases, is also associated with risk for depression.\ud \ud \ud Methods\ud \ud We fine-mapped the classical MHC (chr6: 29.6–33.1 Mb), imputing 216 human leukocyte antigen (HLA) alleles and 4 complement component 4 (C4) haplotypes in studies from the Psychiatric Genomics Consortium Major Depressive Disorder Working Group and the UK Biobank. The total sample size was 45,149 depression cases and 86,698 controls. We tested for association between depression status and imputed MHC variants, applying both a region-wide significance threshold (3.9 × 10−6) and a candidate threshold (1.6 × 10−4).\ud \ud \ud Results\ud \ud No HLA alleles or C4 haplotypes were associated with depression at the region-wide threshold. HLA-B*08:01 was associated with modest protection for depression at the candidate threshold for testing in HLA genes in the meta-analysis (odds ratio = 0.98, 95% confidence interval = 0.97–0.99).\ud \ud \ud Conclusions\ud \ud We found no evidence that an increased risk for depression was conferred by HLA alleles, which play a major role in the genetic susceptibility to autoimmune diseases, or C4 haplotypes, which are strongly associated with schizophrenia. These results suggest that any HLA or C4 variants associated with depression either are rare or have very modest effect sizes.

Published
2020

47. Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

Author

Coleman, Jonathan RI, Peyrot, Wouter J, Purves, Kirstin L, Davis, Katrina AS, Rayner, Christopher, Choi, Shing Wan, Hubel, Christopher, Gaspar, Helena A, Kan, Carol, Van der Auwera, Sandra, Adams, Mark James, Lyall, Donald M, Choi, Karmel W, Dunn, Erin C, Vassos, Evangelos, Danese, Andrea, Maughan, Barbara, Grabe, Hans J, Lewis, Cathryn M, O'Reilly, Paul F, McIntosh, Andrew M, Smith, Daniel J, Wray, Naomi R, Hotopf, Matthew, Eley, Thalia C, Breen, Gerome, Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till FM, Bacanu, Silviu-Alin, Baekvad-Hansen, Marie, Beekman, Aartjan TF, Bigdeli, Tim B, Binder, Elisabeth B, Bryois, Julien, Buttenschon, Henriette N, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Colodro-Conde, Lucia, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Degenhardt, Franziska, Derks, Eske M, Direk, Nese, Dolan, Conor V, Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K, Foo, Jerome C, Forstner, Andreas J, Frank, Josef, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Hall, Lynsey S, Hansen, Christine Soholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Howard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Kutalik, Zoltan, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bocker, Pedersen, Marianne Giortz, Peterson, Roseann E, Pettersson, Erik, Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant CB, Smit, Johannes H, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andres G, Umbricht, Daniel, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jurgen, Willemsen, Gonneke, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Boomsma, Dorret I, Cichon, Sven, Dannlowski, Udo, de Geus, EJC, DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tonu, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela AF, Magnusson, Patrik K, Martin, Nicholas G, Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Mueller-Myhsok, Bertram, Nordentoft, Merete, Noethen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda WJH, Perlis, Roy H, Porteous, David J, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Volzke, Henry, Weissman, Myrna M, Werge, Thomas, Levinson, Douglas F, Borglum, Anders D, Sullivan, Patrick F, Consortium, Psychiat Genomics, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Methodology, APH - Digital Health, Adult Psychiatry, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Sociology and Social Gerontology, Complex Trait Genetics, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), on the behalf of Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., Binder, E.B., Bryois, J., Buttenschøn, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, JRI, 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, FFH, Finucane, H.K., Foo, J.C., 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., Howard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., 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., 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., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, 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., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, EJC, 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, PAF, Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Müller-Myhsok, B., Nordentoft, M., Nöthen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, BWJH, Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Völzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Børglum, A.D., and Sullivan, P.F.

Subjects
Netherlands Twin Register (NTR), 0301 basic medicine, Male, SYMPTOMS, Databases, Factual, Genome-wide association study, 0302 clinical medicine, Medicine, Depression (differential diagnoses), RISK, HERITABILITY, PSYCHIATRIC-DISORDERS, Middle Aged, Psychiatry and Mental health, Major depressive disorder, Female, Waist Circumference, MENTAL-HEALTH, Psychological trauma, Clinical psychology, Adult, Psychological Trauma, Genetic correlation, CHILDHOOD MALTREATMENT, Article, EVENTS, 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 3 - Good Health and Well-being, ADVERSITY, mental disorders, SNP, Humans, Genetic Predisposition to Disease, Molecular Biology, Genetic association, Aged, Depressive Disorder, Major, business.industry, Heritability, medicine.disease, United Kingdom, ASSOCIATION ANALYSIS, 030104 developmental biology, BIOLOGICAL INSIGHTS, Gene-Environment Interaction, Self Report, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Depression is more frequent among individuals exposed to traumatic events. Both trauma exposure and depression are heritable. However, the relationship between these traits, including the role of genetic risk factors, is complex and poorly understood. When modelling trauma exposure as an environmental influence on depression, both gene-environment correlations and gene-environment interactions have been observed. The UK Biobank concurrently assessed Major Depressive Disorder (MDD) and self-reported lifetime exposure to traumatic events in 126,522 genotyped individuals of European ancestry. We contrasted genetic influences on MDD stratified by reported trauma exposure (final sample size range: 24,094-92,957). The SNP-based heritability of MDD with reported trauma exposure (24%) was greater than MDD without reported trauma exposure (12%). Simulations showed that this is not confounded by the strong, positive genetic correlation observed between MDD and reported trauma exposure. We also observed that the genetic correlation between MDD and waist circumference was only significant in individuals reporting trauma exposure (r g = 0.24, p = 1.8 × 10 -7 versus r g = -0.05, p = 0.39 in individuals not reporting trauma exposure, difference p = 2.3 × 10 -4 ). Our results suggest that the genetic contribution to MDD is greater when reported trauma is present, and that a complex relationship exists between reported trauma exposure, body composition, and MDD.

Published
2020

48. Complement genes contribute sex-biased vulnerability in diverse disorders

Author

Kamitaki, Nolan, Sekar, Aswin, Consortium, Schizophrenia Working Group of the Psychiatric Genomics, Friedman, Joseph I, Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Gershon, Elliot S, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Boehnke, Michael, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Mitjans, Marina, Hamshere, Marian L, Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M, Henskens, Frans A, Kimberly, Robert P, Herms, Stefan, Hirschhorn, Joel N, Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V, Hougaard, David M, Ikeda, Masashi, Joa, Inge, Julià, Antonio, Kahn, René S, Kaufman, Kenneth M, Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C, Kelly, Brian J, Kennedy, James L, Khrunin, Andrey, Kim, Yunjung, Klovins, Janis, Harley, John B, Knowles, James A, Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kähler, Anna K, Laurent, Claudine, Keong, Jimmy Lee Chee, Lee, S Hong, Legge, Sophie E, Langefeld, Carl D, Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung-Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M, Lubinski, Jan, Lönnqvist, Jouko, Macek, Milan, Seidman, Christine E, Magnusson, Patrik K E, Maher, Brion S, Maier, Wolfgang, Mallet, Jacques, Marsal, Sara, Mattheisen, Manuel, Mattingsdal, Morten, McCarley, Robert W, McDonald, Colm, McIntosh, Andrew M, Pato, Michele T, Meier, Sandra, Meijer, Carin J, Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I, Metspalu, Andres, Michie, Patricia T, Milani, Lili, Milanova, Vihra, Mokrab, Younes, Pato, Carlos N, Morris, Derek W, Mors, Ole, Murphy, Kieran C, Murray, Robin M, Myin-Germeys, Inez, Müller-Myhsok, Bertram, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A, Nestadt, Gerald, Ophoff, Roel A, Nicodemus, Kristin K, Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O'Callaghan, Eadbhard, O'Dushlaine, Colm, O'Neill, F Anthony, Oh, Sang-Yun, Olincy, Ann, Olsen, Line, Handsaker, Robert E, Graham, Robert R, Van Os, Jim, Pantelis, Christos, Papadimitriou, George N, Steixner, Agnes A, Parkhomenko, Elena, Paunio, Tiina, Pejovic-Milovancevic, Milica, Perkins, Diana O, Pietiläinen, Olli, Criswell, Lindsey A, Pimm, Jonathan, Pocklington, Andrew J, Powell, John, Price, Alkes, Pulver, Ann E, Purcell, Shaun M, Quested, Digby, Rasmussen, Henrik B, Reichenberg, Abraham, Reimers, Mark A, Vyse, Timothy J, Richards, Alexander L, Roffman, Joshua L, Roussos, Panos, Ruderfer, Douglas M, Salomaa, Veikko, Sanders, Alan R, Schall, Ulrich, Schubert, Christian R, Schulze, Thomas G, Schwab, Sibylle G, McCarroll, Steven A, Scolnick, Edward M, Scott, Rodney J, Seidman, Larry J, Shi, Jianxin, Sigurdsson, Engilbert, Silagadze, Teimuraz, Silverman, Jeremy M, Sim, Kang, Slominsky, Petr, Smoller, Jordan W, Ripke, Stephan, So, Hon-Cheong, Spencer, Chris C A, Stahl, Eli A, Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E, Strengman, Eric, Strohmaier, Jana, Stroup, T Scott, Neale, Benjamin M, Subramaniam, Mythily, Suvisaari, Jaana, Svrakic, Dragan M, Szatkiewicz, Jin P, Söderman, Erik, Thirumalai, Srinivas, Toncheva, Draga, Tooney, Paul A, Tosato, Sarah, Veijola, Juha, Corvin, Aiden, Waddington, John, Walsh, Dermot, Wang, Dai, Wang, Qiang, Webb, Bradley T, Weiser, Mark, Wildenauer, Dieter B, Williams, Nigel M, Williams, Stephanie, Witt, Stephanie H, Walters, James T R, Wolen, Aaron R, Wong, Emily H M, Wormley, Brandon K, Wu, Jing Qin, Xi, Hualin Simon, Zai, Clement C, Zheng, Xuebin, Zimprich, Fritz, Wray, Naomi R, Stefansson, Kari, Farh, Kai-How, Visscher, Peter M, Adolfsson, Rolf, Andreassen, Ole A, Blackwood, Douglas H R, Bramon, Elvira, Buxbaum, Joseph D, Børglum, Anders D, Cichon, Sven, Darvasi, Ariel, Domenici, Enrico, Holmans, Peter A, Ehrenreich, Hannelore, Esko, Tõnu, Gejman, Pablo V, Gill, Michael, Gurling, Hugh, Hultman, Christina M, Iwata, Nakao, Jablensky, Assen V, Jönsson, Erik G, Kendler, Kenneth S, de Rivera, Heather, Lee, Phil, Kirov, George, Knight, Jo, Lencz, Todd, Levinson, Douglas F, Li, Qingqin S, Liu, Jianjun, Malhotra, Anil K, McQuillin, Andrew, Moran, Jennifer L, Bulik-Sullivan, Brendan, Mortensen, Preben B, Mowry, Bryan J, Nöthen, Markus M, Owen, Michael J, Palotie, Aarno, Petryshen, Tracey L, Posthuma, Danielle, Rietschel, Marcella, Collier, David A, Riley, Brien P, Rujescu, Dan, Sham, Pak C, Sklar, Pamela, Clair, David St, Weinberger, Daniel R, Wendland, Jens R, Werge, Thomas, Daly, Mark J, Sullivan, Patrick F, Huang, Hailiang, O'Donovan, Michael C, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Tooley, Katherine, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Morris, David L, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Cairns, Murray J, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Taylor, Kimberly E, Chambert, Kimberly D, Chan, Raymond C K, Chen, Ronald Y L, Chen, Eric Y H, Cheng, Wei, Cheung, Eric F C, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Whelan, Christopher W, Cormican, Paul, Craddock, Nick, Crespo-Facorro, Benedicto, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, DeLisi, Lynn E, Tombleson, Philip, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Loohuis, Loes M Olde, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Adult Psychiatry, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Kamitaki, Nolan, Sekar, Aswin, Handsaker, Robert E, de Rivera, Heather, Lee, S Hong, McCarroll, Steven A, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Clinicum, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Helsinki University Hospital Area, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, HUS Psychiatry, Department of Psychiatry, Center for Population, Health and Society, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Human genetics, and Amsterdam Reproduction & Development (AR&D)

Subjects
0301 basic medicine, Male, SLE, Sjogren's Syndrome/blood, complement cascade, Major Histocompatibility Complex/genetics, Major Histocompatibility Complex, 0302 clinical medicine, MOLECULAR-BASIS, HLA Antigens, Genotype, 2.1 Biological and endogenous factors, Lupus Erythematosus, Systemic, Medicine, Aetiology, SYSTEMIC-LUPUS-ERYTHEMATOSUS, Complement C3/analysis, SUSCEPTIBILITY VARIANTS, RISK, SJOGRENS-SYNDROME, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Complement component 4, Sex Characteristics, Multidisciplinary, Complement C4, Complement C3, HLA Antigens/genetics, Middle Aged, 3. Good health, Complement cascade, Mental Health, Sjogren's Syndrome, genetic association study, Female, ddc:500, Systemic/blood, Biotechnology, Sex characteristics, Adult, General Science & Technology, Lupus, Human leukocyte antigen, Autoimmune Disease, Lupus Erythematosus, Systemic/blood, 03 medical and health sciences, Young Adult, Systemic lupus erythematosus, C4 DEFICIENCY, SDG 3 - Good Health and Well-being, Genetics, Humans, Genetic Predisposition to Disease, Allele, Alleles, Genetic association study, Differential disease vulnerability, Lupus erythematosus, Lupus Erythematosus, business.industry, Inflammatory and immune system, Systemic, Haplotype, C4A, medicine.disease, Brain Disorders, COPY-NUMBER, 030104 developmental biology, Haplotypes, Sjögren’s syndrome, Immunology, Schizophrenia, Complement C4/analysis, AUTOANTIBODIES, 3111 Biomedicine, MHC, business, DEFICIENCY STATES, 030217 neurology & neurosurgery
Abstract

Many common illnesses, for reasons that have not been identified, differentially affect men and women. For instance, the autoimmune diseases systemic lupus erythematosus (SLE) and Sjögren’s syndrome affect nine times more women than men1, whereas schizophrenia affects men with greater frequency and severity relative to women2. All three illnesses have their strongest common genetic associations in the major histocompatibility complex (MHC) locus, an association that in SLE and Sjögren’s syndrome has long been thought to arise from alleles of the human leukocyte antigen (HLA) genes at that locus3–6. Here we show that variation of the complement component 4 (C4) genes C4A and C4B, which are also at the MHC locus and have been linked to increased risk for schizophrenia7, generates 7-fold variation in risk for SLE and 16-fold variation in risk for Sjögren’s syndrome among individuals with common C4 genotypes, with C4A protecting more strongly than C4B in both illnesses. The same alleles that increase risk for schizophrenia greatly reduce risk for SLE and Sjögren’s syndrome. In all three illnesses, C4 alleles act more strongly in men than in women: common combinations of C4A and C4B generated 14-fold variation in risk for SLE, 31-fold variation in risk for Sjögren’s syndrome, and 1.7-fold variation in schizophrenia risk among men (versus 6-fold, 15-fold and 1.26-fold variation in risk among women, respectively). At a protein level, both C4 and its effector C3 were present at higher levels in cerebrospinal fluid and plasma8,9 in men than in women among adults aged between 20 and 50 years, corresponding to the ages of differential disease vulnerability. Sex differences in complement protein levels may help to explain the more potent effects of C4 alleles in men, women’s greater risk of SLE and Sjögren’s syndrome and men’s greater vulnerability to schizophrenia. These results implicate the complement system as a source of sexual dimorphism in vulnerability to diverse illnesses.

Published
2020

49. A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank

Author

Shen, Xueyi, Howard, David M, McIntosh, Andrew M, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Deary, Ian J, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Wray, Naomi R, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant C B, Smit, Johannes H, Smith, Daniel J, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Ripke, Stephan, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andrés G, Mattheisen, Manuel, Umbricht, Daniel, Auwera, Sandra Van der, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Trzaskowski, Maciej, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Boomsma, Dorret I, Cichon, Sven, Byrne, Enda M, Dannlowski, Udo, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Abdellaoui, Abdel, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela A F, Magnusson, Patrik K, Martin, Nicholas G, Metspalu, Andres, Mors, Ole, Agerbo, Esben, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda W J H, Perlis, Roy H, Porteous, David J, Air, Tracy M, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Adams, Mark J, Andlauer, Till F M, Weissman, Myrna M, Werge, Thomas, Lewis, Cathryn M, Levinson, Douglas F, Breen, Gerome, Børglum, Anders D, Sullivan, Patrick F, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Binder, Elisabeth B, Bryois, Julien, Buttenschøn, Henriette N, Bybjerg-Grauholm, Jonas, Cai, Na, Hill, W David, Castelao, Enrique, Christensen, Jane Hvarregaard, Coleman, Jonathan R I, Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Degenhardt, Franziska, Derks, Eske M, Clarke, Toni-Kim, Direk, Nese, Dolan, Conor V, Dunn, Erin C, Eley, Thalia C, Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K, Foo, Jerome C, Forstner, Andreas J, Frank, Josef, Gaspar, Héléna A, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Hall, Lynsey S, Hansen, Christine Søholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Whalley, Heather C, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Psychiatry, Human genetics, APH - Methodology, Epidemiology and Data Science, APH - Digital Health, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, Adult Psychiatry, Shen, Xueyi [0000-0002-0538-4774], Howard, David M [0000-0002-6005-1972], Adams, Mark J [0000-0002-3599-6018], Whalley, Heather C [0000-0002-4505-8869], McIntosh, Andrew M [0000-0002-0198-4588], Apollo - University of Cambridge Repository, Epidemiology, Erasmus MC other, Urology, Child and Adolescent Psychiatry / Psychology, Internal Medicine, Medical Informatics, Immunology, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, and University of Iceland

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), DISORDER, Male, General Physics and Astronomy, Genome-wide association study, Genome-wide association studies, 0302 clinical medicine, Risk Factors, SCHIZOPHRENIA, Medicine, lcsh:Science, Depression (differential diagnoses), Biological Specimen Banks, Multidisciplinary, Depression, Phenome-wide association, Mendelian Randomization Analysis, Middle Aged, Biobank, 3. Good health, ENVIRONMENT INTERACTION, symbols, Female, ddc:500, Clinical psychology, Science, Prefrontal Cortex, Genomics, Neuroimaging, Phenome, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, symbols.namesake, SDG 3 - Good Health and Well-being, Humans, Genetic Predisposition to Disease, Mendelian Randomisation, Þunglyndi, Aged, business.industry, General Chemistry, MAJOR DEPRESSION, Mental health, Genarannsóknir, 030104 developmental biology, Mendelian inheritance, lcsh:Q, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Publisher's version (útgefin grein), Depression is a leading cause of worldwide disability but there remains considerable uncertainty regarding its neural and behavioural associations. Here, using non-overlapping Psychiatric Genomics Consortium (PGC) datasets as a reference, we estimate polygenic risk scores for depression (depression-PRS) in a discovery (N = 10,674) and replication (N = 11,214) imaging sample from UK Biobank. We report 77 traits that are significantly associated with depression-PRS, in both discovery and replication analyses. Mendelian Randomisation analysis supports a potential causal effect of liability to depression on brain white matter microstructure (β: 0.125 to 0.868, pFDR, The present study is supported by a Wellcome Trust Strategic Award “Stratifying Resilience and Depression Longitudinally” (STRADL) (Reference 104036/Z/14/Z) and MRC Mental Health Data Pathfinder Award (Reference MC_PC_17209). Data acquisition and analyses were conducted using the UK Biobank Resource under approved project #4844. Participation of the UK Biobank subjects is gratefully appreciated. We also thank UK Biobank team for collecting and preparing data for analyses. Funding from the Biotechnology and Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged. The PGC has received major funding from the US National Institute of Mental Health (5 U01MH109528-03). We thank the research participants and employees of 23andMe for supporting this study. X.S. receives support from China Scholarship Council (No. 201506040037). H.C.W. is supported by a JMAS SIM fellowship from the Royal College of Physicians of Edinburgh and by an ESAT College Fellowship from the University of Edinburgh. D.M.H. is supported by a Sir Henry Wellcome Postdoctoral Fellowship (Reference 213674/Z/18/Z) and a 2018 NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation (Reference 27404). W.D.H. is supported by a grant from Age UK (Disconnected Mind Project). A.M.M. is supported by the Sackler Trust. I.J.D. is a participant in UK Biobank.

Published
2020

50. Association of Polygenic Liabilities for Major Depression, Bipolar Disorder, and Schizophrenia With Risk for Depression in the Danish Population

Author

Musliner, Katherine L., Mortensen, Preben B., McGrath, John J., Suppli, Nis P., Hougaard, David M., Bybjerg-Grauholm, Jonas, Baekvad-Hansen, Marie, Andreassen, Ole, Pedersen, Carsten B., Pedersen, Marianne G., Mors, Ole, Nordentoft, Merete, Borglum, Anders D., Werge, Thomas, Agerbo, Esben, Stahl, Eli A., Breen, Gerome, Forstner, Andreas J., McQuillin, Andrew, Ripke, Stephan, Trubetskoy, Vassily, Mattheisen, Manuel, Wang, Yunpeng, Coleman, Jonathan R., I, Gaspar, Helena A., de Leeuw, Christiaan A., Steinberg, Stacy, Pavlides, Jennifer M. Whitehead, Trzaskowski, Maciej, Pers, Tune H., Holmans, Peter A., Abbott, Liam, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D., Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A., Etzekvad-Hansen, Marie, Barchas, Jack D., Bass, Nicholas, Bauer, Michael, Belliveau, Richard, Bergen, Sarah E., Pedersen, Carsten Bocker, Boen, Erlend, Boks, Marco, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Byerley, William, Casas, Miguel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Chamey, Alexander W., Chen, Danfeng, Churchhouse, Claire, Clarke, Toni-Kim, Coryell, William, Craig, David W., Cruceanu, Cristiana, Curtis, David, Czerski, Piotr M., Dale, Anders M., de Jong, Simone, Degenhardt, Franziska, Del-Favero, Jurgen, DePaulo, J. Raymond, Djurovic, Srdjan, Dobbyn, Amanda L., Dumont, Ashley, Elvsashagen, Torbjorn, Escott-Price, Valentina, Fan, Chun Chieh, Fischer, Sascha B., Flickinger, Matthew, Foroud, Tatiana M., Forty, Liz, Frank, Josef, Fraser, Christine, Freimer, Nelson B., Frisen, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartobmei, Claudia, Pedersen, Marianne Giortz, Goldstein, Jaqueline, Gordon, Scott D., Gordon-Smith, Katherine, Green, Elaine K., Green, Melissa J., Greenwood, Tiffany A., Grove, Jakob, Guan, Weihua, Parra, Jose Guzman, Hamshere, Marian L., Hautzinger, Martin, Heilbronner, Urs, Herms, Stefan, Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Huckins, Laura, Jamain, Stephan, Johnson, Jessica S., Jureus, Anders, Kandaswamy, Radhika, Karlsson, Robert, Kennedy, James L., Kittel-Schneider, Sarah, Knott, Sarah, V, Knowles, James A., Kogevinas, Manolis, Koller, Anna C., Kupka, Ralph, Lavebratt, Catharina, Lawrence, Jacob, Lawson, William B., Leber, Markus, Lee, Phil H., Levy, Shawn E., Li, Jun Z., Liu, Chunyu, Lucae, Susanne, Maaser, Anna, MacIntyre, Donald J., Mahon, Pamela B., Maier, Wolfgang, Martinsson, Lina, McCarroll, Steve, McGuffin, Peter, McInnis, Melvin G., McKay, James D., Medeiros, Helena, Medland, Sarah E., Meng, Fan, Milani, Lili, Montgomery, Grant W., Morris, Derek W., Muehleisen, Thomas W., Mullins, Niamh, Nguyen, Hoang, Nievergelt, Caroline M., Adolfsson, Annelie Nordin, Nwulia, Evaristus A., O'Donovan, Claire, Loohuis, Loes M. Olde, Ori, Anil P. S., Oruc, Lilijana, Osby, Urban, Perlis, Roy H., Perry, Amy, Pfennig, Andrea, Potash, James B., Purcell, Shaun M., Regeer, Eline J., Reif, Andreas, Reinbold, Celine S., Rice, John P., Rivas, Fabio, Rivera, Margarita, Roussos, Panos, Ruderfer, Douglas M., Ryu, Euijung, Sanchez-Mora, Cristina, Schatzberg, Alan F., Scheftner, William A., Schork, Nicholas J., Weickert, Cynthia Shannon, Shehktman, Tatyana, Shilling, Paul D., Sigurdsson, Engilbert, Slaney, Claire, Smeland, Olav B., Sobell, Janet L., Hansen, Christine Soholm, Spijker, Anne T., St Clair, David, Steffens, Michael, Strauss, John S., Streit, Fabian, Strohmaier, Jana, Szelinger, Szabolcs, Thompson, Robert C., Thorgeirsson, Thorgeir E., Treutlein, Jens, Vedder, Helmut, Wang, Weiqing, Watson, Stanley J., Weickert, Thomas W., Witt, Stephanie H., Xi, Simon, Xu, Wei, Young, Allan H., Zandi, Peter, Zhang, Peng, Zollner, Sebastian, Agartz, Ingrid, Aida, Martin, Backlund, Lena, Baune, Bernhard T., Bellivier, Frank, Berrettini, Wade H., Biemacka, Joanna M., Blackwood, Douglas H. R., Boehnke, Michael, Berglum, Anders D., Corvin, Aiden, Craddock, Nicholas, Daly, Mark J., Dannlowski, Udo, Esko, Tonu, Etain, Bruno, Frye, Mark, Fullerton, Janice M., Gershon, Elliot S., Goes, Fernando, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Hultman, Christina M., Jones, Ian, Jones, Lisa A., Kahn, Rene S., Kirov, George, Landen, Mikael, Leboyer, Marion, Lewis, Cathryn M., Li, Qingqin S., Lissowska, Jolanta, Martin, Nicholas G., Mayoral, Fermin, McElroy, Susan L., McIntosh, Andrew M., McMahon, Francis J., Melle, Ingrid, Metspalu, Andres, Mitchell, Philip B., Morken, Gunnar, Mortensen, Preben Bo, Mueller-Myhsok, Bertram, Myers, Richard M., Neale, Benjamin M., Nimgaonkar, Vishwajit, Noethen, Markus M., O'Donovan, Michael C., Oedegaard, Ketil J., Owen, Michael, Paciga, Sara A., Pato, Carlos, Pato, Michele T., Posthuma, Danielle, Ramos-Quiroga, Josep Antoni, Ribases, Marta, Rietschel, Marcella, Rouleau, Guy A., Schalling, Martin, Schofield, Peter R., Schulze, Thomas G., Serretti, Alessandro, Smoller, Jordan W., Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Sullivan, Patrick F., Turecki, Gustavo, Vaaler, Arne E., Ieta, Eduard, V, Vincent, John B., Nurnberger, John, I, Wray, Naomi R., Di Florio, Arianna, Edenberg, Howard J., Cichon, Sven, Ophoff, Roel A., Scott, Laura J., Andreassen, Ole A., Kelsoe, John, Sklar, Pamela, and Psychiat Genomics Consortium

Subjects
Adult, Male, medicine.medical_specialty, Multifactorial Inheritance, Bipolar Disorder, Adolescent, Denmark, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Risk Factors, medicine, Journal Article, Humans, Genetic Predisposition to Disease, Bipolar disorder, Young adult, Association (psychology), Psychiatry, Child, Depression (differential diagnoses), Proportional Hazards Models, Depressive Disorder, Major, Proportional hazards model, business.industry, Depression, Case-control study, Age Factors, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Schizophrenia, Case-Control Studies, Linear Models, Major depressive disorder, Female, Human medicine, business, 030217 neurology & neurosurgery
Abstract

Importance: Although the usefulness of polygenic risk scores as a measure of genetic liability for major depression (MD) has been established, their association with depression in the general population remains relatively unexplored.Objective: To evaluate whether polygenic risk scores for MD, bipolar disorder (BD), and schizophrenia (SZ) are associated with depression in the general population and explore whether these polygenic liabilities are associated with heterogeneity in terms of age at onset and severity at the initial depression diagnosis.Design, Setting, and Participants: Participants were drawn from the Danish iPSYCH2012 case-cohort study, a representative sample drawn from the population of Denmark born between May 1, 1981, and December 31, 2005. The hazard of depression was estimated using Cox regressions modified to accommodate the case-cohort design. Case-only analyses were conducted using linear and multinomial regressions. The data analysis was conducted from February 2017 to June 2018.Exposures: Polygenic risk scores for MD, BD, and SZ trained using the most recent genome-wide association study results from the Psychiatric Genomics Consortium.Main Outcomes and Measures: The main outcome was first depressive episode (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code F32) treated in hospital-based psychiatric care. Severity at the initial diagnosis was measured using the ICD-10 code severity specifications (mild, moderate, severe without psychosis, and severe with psychosis) and treatment setting (inpatient, outpatient, and emergency).Results: Of 34 573 participants aged 10 to 31 years at censoring, 68% of those with depression were female compared with 48.9% of participants without depression. Each SD increase in polygenic liability for MD, BD, and SZ was associated with 30% (hazard ratio [HR], 1.30; 95% CI, 1.27-1.33), 5% (HR, 1.05; 95% CI, 1.02-1.07), and 12% (HR, 1.12; 95% CI, 1.09-1.15) increases in the hazard of depression, respectively. Among cases, a higher polygenic liability for BD was associated with earlier depression onset (β = -.07; SE = .02; P = .002).Conclusions and Relevance: Polygenic liability for MD is associated with first depression in the general population, which supports the idea that these scores tap into an underlying liability for developing the disorder. The fact that polygenic risk for BD and polygenic risk for SZ also were associated with depression is consistent with prior evidence that these disorders share some common genetic overlap. Variations in polygenic liability may contribute slightly to heterogeneity in clinical presentation, but these associations appear minimal.

Published
2019

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