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1. The future of genomics in Ireland – focus on genomics for health [version 1; peer review: 2 approved]

Author

Cathal Seoighe, Adrian P. Bracken, Patrick Buckley, Peter Doran, Robert Green, Sandra Healy, David Kavanagh, Elaine Kenny, Mark Lawler, Maeve Lowery, Derek Morris, Darrin Morrissey, James J. O'Byrne, Denis Shields, Owen Smith, Charles A. Steward, Brian Sweeney, and Walter Kolch

Subjects
Medicine
Abstract

Genomics is revolutionizing biomedical research, medicine and healthcare globally in academic, public and industry sectors alike. Concrete examples around the world show that huge benefits for patients, society and economy can be accrued through effective and responsible genomic research and clinical applications. Unfortunately, Ireland has fallen behind and needs to act now in order to catch up. Here, we identify key issues that have resulted in Ireland lagging behind, describe how genomics can benefit Ireland and its people and outline the measures needed to make genomics work for Ireland and Irish patients. There is now an urgent need for a national genomics strategy that enables an effective, collaborative, responsible, well-regulated, and patient centred environment where genome research and clinical genomics can thrive. We present eight recommendations that could be the pillars of a national genomics health strategy.

Published
2020
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2. Avian resistance to Campylobacter jejuni colonization is associated with an intestinal immunogene expression signature identified by mRNA sequencing.

Author

Sarah Connell, Kieran G Meade, Brenda Allan, Andrew T Lloyd, Elaine Kenny, Paul Cormican, Derek W Morris, Daniel G Bradley, and Cliona O'Farrelly

Subjects
Medicine, Science
Abstract

Campylobacter jejuni is the most common cause of human bacterial gastroenteritis and is associated with several post-infectious manifestations, including onset of the autoimmune neuropathy Guillain-Barré syndrome, causing significant morbidity and mortality. Poorly-cooked chicken meat is the most frequent source of infection as C. jejuni colonizes the avian intestine in a commensal relationship. However, not all chickens are equally colonized and resistance seems to be genetically determined. We hypothesize that differences in immune response may contribute to variation in colonization levels between susceptible and resistant birds. Using high-throughput sequencing in an avian infection model, we investigate gene expression associated with resistance or susceptibility to colonization of the gastrointestinal tract with C. jejuni and find that gut related immune mechanisms are critical for regulating colonization. Amongst a single population of 300 4-week old chickens, there was clear segregation in levels of C. jejuni colonization 48 hours post-exposure. RNAseq analysis of caecal tissue from 14 C. jejuni-susceptible and 14 C. jejuni-resistant birds generated over 363 million short mRNA sequences which were investigated to identify 219 differentially expressed genes. Significantly higher expression of genes involved in the innate immune response, cytokine signaling, B cell and T cell activation and immunoglobulin production, as well as the renin-angiotensin system was observed in resistant birds, suggesting an early active immune response to C. jejuni. Lower expression of these genes in colonized birds suggests suppression or inhibition of a clearing immune response thus facilitating commensal colonization and generating vectors for zoonotic transmission. This study describes biological processes regulating C. jejuni colonization of the avian intestine and gives insight into the differential immune mechanisms incited in response to commensal bacteria in general within vertebrate populations. The results reported here illustrate how an exaggerated immune response may be elicited in a subset of the population, which alters host-microbe interactions and inhibits the commensal state, therefore having wider relevance with regard to inflammatory and autoimmune disease.

Published
2012
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3. Assessment of inactivating stop codon mutations in forty Saccharomyces cerevisiae strains: implications for [PSI] prion- mediated phenotypes.

Author

David A Fitzpatrick, Jennifer O'Brien, Ciara Moran, Naushaba Hasin, Elaine Kenny, Paul Cormican, Amy Gates, Derek W Morris, and Gary W Jones

Subjects
Medicine, Science
Abstract

The yeast prion [PSI(+)] has been implicated in the generation of novel phenotypes by a mechanism involving a reduction in translation fidelity causing readthrough of naturally occurring stop codons. Some [PSI(+)] associated phenotypes may also be generated due to readthrough of inactivating stop codon mutations (ISCMs). Using next generation sequencing we have sequenced the genomes of two Saccharomyces cerevisiae strains that are commonly used for the study of the yeast [PSI(+)] prion. We have identified approximately 26,000 and 6,500 single nucleotide polymorphisms (SNPs) in strains 74-D694 and G600 respectively, compared to reference strain S288C. In addition to SNPs that produce non-synonymous amino acid changes we have also identified a number of SNPs that cause potential ISCMs in these strains, one of which we show is associated with a [PSI(+)]-dependent stress resistance phenotype in strain G600. We identified twenty-two potential ISCMs in strain 74-D694, present in genes involved in a variety of cellular processes including nitrogen metabolism, signal transduction and oxidative stress response. The presence of ISCMs in a subset of these genes provides possible explanations for previously identified [PSI(+)]-associated phenotypes in this strain. A comparison of ISCMs in strains G600 and 74-D694 with S. cerevisiae strains sequenced as part of the Saccharomyces Genome Resequencing Project (SGRP) shows much variation in the generation of strain-specific ISCMs and suggests this process is possible under complex genetic control. Additionally we have identified a major difference in the abilities of strains G600 and 74-D694 to grow at elevated temperatures. However, this difference appears unrelated to novel SNPs identified in strain 74-D694 present in proteins involved in the heat shock response, but may be attributed to other SNP differences in genes previously identified as playing a role in high temperature growth.

Published
2011
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4. Reducing human DNA bias in cystic fibrosis airway specimens for microbiome analysis

Author

Karolina Klosinska, Emma Reece, Elaine Kenny, and Julie Renwick

Subjects
DNA, Bacterial, Microbiology (medical), Cystic Fibrosis, Microbiota, RNA, Ribosomal, 16S, Sputum, Humans, Saponins, Molecular Biology, Microbiology
Abstract

Next generation sequencing (NGS) has transformed our understanding of airway microbiology, however there are methodology limitations that require consideration. The presence of high concentrations of human DNA in clinical specimens can significantly impact sequencing of the microbiome, especially in low biomass samples. Here we compared three different methods (0.025% saponin, NEBNext Microbiome DNA enrichment kit, QIAamp DNA microbiome kit) for the reduction of human DNA from six CF sputum samples and determined the impact on the microbiome detected using 16S rRNA gene sequencing. Human DNA in undepleted CF sputum accounted for 94.3% of the total DNA. Saponin, the NEBNext kit and the QIAamp kit reduced human DNA levels by an average of 38.7%, 61.8% and 94.8%, respectively. None of the depletion methods reduced total bacterial DNA concentrations. QIAamp depletion did not influence taxa richness or alpha diversity however alterations to the core genera were noted following depletion. While all methods reduced human DNA in the CF sputum samples, the QIAamp DNA microbiome kit reduced Human DNA levels significantly while leaving bacterial DNA levels unchanged. Human DNA depletion in low biomass, human DNA-dense CF sputum samples is vital for improving bacterial resolution in the CF airway microbiome.

Published
2022
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5. The future of genomics in Ireland - focus on genomics for health

Author

Sandra Healy, Owen P Smith, Walter Kolch, Patrick Buckley, Derek W. Morris, Mark Lawler, Peter Doran, David J. Kavanagh, Brian Sweeney, Maeve A. Lowery, Charles A. Steward, Darrin Morrissey, Adrian P. Bracken, Denis C. Shields, Cathal Seoighe, Elaine Kenny, Robert C. Green, and James J. O’Byrne

Subjects
0301 basic medicine, Genomic research, Genomics, national genomics strategy, 03 medical and health sciences, 0302 clinical medicine, Irish, Genome research, Political science, health-economic assessment of clinical genomics, Health care, Lagging, ethics of genome research, patient involvement, Clinical genomics, business.industry, Articles, societal and economic aspects of genome research, Public relations, language.human_language, 3. Good health, 030104 developmental biology, genome research, Work (electrical), language, precision/personalized medicine, Open Letter, business, 030217 neurology & neurosurgery
Abstract

Genomics is revolutionizing biomedical research, medicine and healthcare globally in academic, public and industry sectors alike. Concrete examples around the world show that huge benefits for patients, society and economy can be accrued through effective and responsible genomic research and clinical applications. Unfortunately, Ireland has fallen behind and needs to act now in order to catch up. Here, we identify key issues that have resulted in Ireland lagging behind, describe how genomics can benefit Ireland and its people and outline the measures needed to make genomics work for Ireland and Irish patients. There is now an urgent need for a national genomics strategy that enables an effective, collaborative, responsible, well-regulated, and patient centred environment where genome research and clinical genomics can thrive. We present eight recommendations that could be the pillars of a national genomics health strategy.

Published
2020

9. Detection of novel germline mutations for breast cancer in non-BRCA1/2families

Author

Fatima Aloraifi, James Geraghty, Jonah McGreevy, Trudi McDevitt, Elaine Kenny, Marie Meany, Rui Martiniano, Daniel G. Bradley, Russell L. McLaughlin, Chris M. Egan, Nuala Cody, Adrian P. Bracken, and Andrew Green

Subjects
Adult, Receptor, ErbB-2, PALB2, Gene Expression, MAP Kinase Kinase Kinase 1, Breast Neoplasms, Biology, Biochemistry, Breast cancer, Germline mutation, Missing heritability problem, medicine, Humans, Genetic Predisposition to Disease, skin and connective tissue diseases, Molecular Biology, CHEK2, Gene, Germ-Line Mutation, BRCA2 Protein, Genetics, Caspase 8, Splice site mutation, BRCA1 Protein, Sequence Analysis, DNA, Cell Biology, Middle Aged, medicine.disease, Neoplasm Proteins, DNA-Binding Proteins, MRE11A, Trans-Activators, Female, RNA, Long Noncoding, Genome-Wide Association Study
Abstract

The identification of the breast cancer susceptibility genes BRCA1 and BRCA2 enhanced clinicians' ability to select high-risk individuals for aggressive surveillance and prevention, and led to the development of targeted therapies. However, BRCA1/2 mutations account for only 25% of familial breast cancer cases. To systematically identify rare, probably pathogenic variants in familial cases of breast cancer without BRCA1/2 mutations, we developed a list of 312 genes, and performed targeted DNA enrichment coupled to multiplex next-generation sequencing on 104 'BRCAx' patients and 101 geographically matched controls in Ireland. As expected, this strategy allowed us to identify mutations in several well-known high-susceptibility and moderate-susceptibility genes, including ATM (~ 5%), RAD50 (~ 3%), CHEK2 (~ 2%), TP53 (~ 1%), PALB2 (~ 1%), and MRE11A (~ 1%). However, we also identified novel pathogenic variants in 30 other genes, which, when taken together, potentially explain the etiology of the missing heritability in up to 35% of BRCAx patients. These included novel potential pathogenic mutations in MAP3K1, CASP8, RAD51B, ZNF217, CDKN2B-AS1, and ERBB2, including a splice site mutation, which we predict would generate a constitutively active HER2 protein. Taken together, this work extends our understanding of the genetics of familial breast cancer, and supports the need to implement hereditary multigene panel testing to more appropriately orientate clinical management.

Published
2015
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10. Itm2a silencing rescues lamin A mediated inhibition of 3T3-L1 adipocyte differentiation

Author

Derek W. Morris, Stephanie J. Davies, James M. Ryan, Pavel V. Baranov, Elaine Kenny, Rosemary O'Connor, Patrick B F O'Connor, and Tommie V. McCarthy

Subjects
0301 basic medicine, medicine.medical_specialty, Histology, Adipose tissue, Gene Expression, Laminopathy, Biology, LMNA, 03 medical and health sciences, Mice, 0302 clinical medicine, Genes, Reporter, Internal medicine, 3T3-L1 Cells, medicine, Adipocytes, Gene silencing, Animals, Gene Silencing, Promoter Regions, Genetic, Gene knockdown, Adipogenesis, Membrane Proteins, Cell Differentiation, Cell Biology, Fibroblasts, medicine.disease, Lamin Type A, Cell biology, Lipodystrophy, Familial Partial, 030104 developmental biology, Endocrinology, 030220 oncology & carcinogenesis, Gene Knockdown Techniques, ITM2A, Lamin, Research Paper
Abstract

Dysregulation of adipose tissue metabolism is associated with multiple metabolic disorders. One such disease, known as Dunnigan-type familial partial lipodystrophy (FPLD2) is characterized by defective fat metabolism and storage. FPLD2 is caused by a specific subset of mutations in the LMNA gene. The mechanisms by which LMNA mutations lead to the adipose specific FPLD2 phenotype have yet to be determined in detail. We used RNA-Seq analysis to assess the effects of wild-type (WT) and mutant (R482W) lamin A on the expression profile of differentiating 3T3-L1 mouse preadipocytes and identified Itm2a as a gene that was upregulated at 36 h post differentiation induction in these cells. In this study we identify Itm2a as a novel modulator of adipogenesis and show that endogenous Itm2a expression is transiently downregulated during induction of 3T3-L1 differentiation. Itm2a overexpression was seen to moderately inhibit differentiation of 3T3-L1 preadipocytes while shRNA mediated knockdown of Itm2a significantly enhanced 3T3-L1 differentiation. Investigation of PPARγ levels indicate that this enhanced adipogenesis is mediated through the stabilization of the PPARγ protein at specific time points during differentiation. Finally, we demonstrate that Itm2a knockdown is sufficient to rescue the inhibitory effects of lamin A WT and R482W mutant overexpression on 3T3-L1 differentiation. This suggests that targeting of Itm2a or its related pathways, including autophagy, may have potential as a therapy for FPLD2.

Published
2017

11. Rare DNA variants in the brain derived neurotrophic factor gene increase risk for attention deficit hyperactivity disorder : a next generation sequencing study

Author

Ziarih Hawi, Simon Easteal, Alasdair Vance, Tarrant Cummins, Lindsay Kent, Florence Levy, Janette Tong, Helen Heussler, Michael Gill, Beth Patricia Johnson, Elaine Kenny, Qiongyi Zhao, Mauricio Arcos-Burgos, Derek W. Morris, Naomi R. Wray, Daniel P. Newman, Mark A. Bellgrove, Natasha Matthews, University of St Andrews. School of Medicine, and University of St Andrews. Institute of Behavioural and Neural Sciences

Subjects
0301 basic medicine, Male, Candidate gene, Adolescent, Genotype, Genome-wide association study, QH426 Genetics, Polymorphism, Single Nucleotide, 03 medical and health sciences, Cellular and Molecular Neuroscience, symbols.namesake, Missing heritability problem, Risk Factors, medicine, Attention deficit hyperactivity disorder, Humans, Genetic Predisposition to Disease, Child, Molecular Biology, QH426, Genetic association, Genetics, Sanger sequencing, Brain-derived neurotrophic factor, Brain-Derived Neurotrophic Factor, Genetic Variation, High-Throughput Nucleotide Sequencing, DAS, DNA, Sequence Analysis, DNA, medicine.disease, Psychiatry and Mental health, 030104 developmental biology, Schizophrenia, Attention Deficit Disorder with Hyperactivity, Case-Control Studies, symbols, RC0321, Female, Psychology, Neuroscience, Ireland, RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry, Genome-Wide Association Study
Abstract

This work was supported by a grant from the National Health and Medical Research Council of Australia (NHMRC) (APP1065677). Attention deficit hyperactivity disorder (ADHD) is a prevalent and highly heritable disorder of childhood with negative lifetime outcomes. Although candidate gene and genome wide association studies have identified promising common variant signals, these explain only a fraction of the heritability of ADHD. The observation that rare structural variants confer substantial risk to psychiatric disorders suggests that rare variants might explain a portion of the missing heritability for ADHD. Here we performed the first large-scale next generation targeted sequencing study of ADHD in 152 child and adolescent cases and 188 controls across an a priori set of 117 genes. A multi-marker gene level analysis of rare (< 1% frequency) single nucleotide variants (SNVs) revealed that the gene encoding brain derived neurotrophic factor (BDNF) was associated with ADHD at Bonferroni corrected levels. Sanger sequencing confirmed the existence of all novel rare BDNF variants. Our results implicate BDNF as a genetic risk factor for ADHD, potentially by virtue of its critical role in neurodevelopment and synaptic plasticity. Postprint

Published
2017

12. Processing and Characterisation of Various Polymer Blends to Develop Implant for Tissue Engineering Applications

Author

Elaine Kenny, Declan Devine, Clement Higginbotham, and Luke Geever

Subjects
Extrusion, PEO, PCL, Biodegradable implant, technology, industry, and agriculture
Abstract

In the past two decades, the repair and reconstruction of musculoskeletal tissues using biodegradable scaffold materials has emerged as one of the most promising approaches in tissue engineering. The aim of this study is to process, via hot melt extrusion, the biodegradable and biocompatible polymeric materials; poly(ethylene oxide) (PEO), poly(ethylene glycol) (PEG), ⍺-lactose monohydrate and poly(e-caprolactone) (PCL), and investigate their suitability in tissue regenerating applications. Concentrations of the polymer blends were varied in order to optimise the degradation rate of the matrix blend. The effect of extrusion and plasticiser on the thermal and melt viscosity properties of the blends was coincidentally monitored. Materials of both pellet and powder compositions were compared in order to determine which composition provided optimum results. Blends were characterised using melt flow index (MFI), differential scanning calorimetry (DSC), rheometry and degradation analysis. Addition of plasticiser was found to cause a decrease in viscosity and melt temperature of the materials, so too was the extrusion process albeit to a lesser extent, while addition of filler increased melt viscosity and melt temperature of the blend. A vital advantage of this study is the ability to fine tune the properties of the matrix by varying material concentrations, making these promising candidates for tissue engineering applications.

Published
2013

13. Allelic expression imbalance of the schizophrenia susceptibility gene CHI3L1

Author

Michael Gill, Elaine Kenny, Ziarih Hawi, S. Roche, Aiden Corvin, Richard Anney, Matthew Hill, and Derek W. Morris

Subjects
HapMap Project, Allelic Imbalance, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Adipokines, Polymorphism (computer science), Lectins, Gene expression, Genetics, Humans, Genetic Predisposition to Disease, Chitinase-3-Like Protein 1, Lymphocytes, RNA, Messenger, Allele, International HapMap Project, Promoter Regions, Genetic, Genotyping, Gene, Alleles, Biological Psychiatry, Genetics (clinical), Brain, Promoter, Molecular biology, Psychiatry and Mental health, Gene Expression Regulation, Organ Specificity, Postmortem Changes, Schizophrenia
Abstract

OBJECTIVE: To identify cis-acting regulatory variants influencing the expression of the schizophrenia susceptibility gene chitinase 3-like 1 gene (CHI3L1) in human lymphoblasts and post-mortem brain tissue. METHODS: To investigate the role of cis-acting regulatory variants in controlling gene expression of CHI3L1 we quantified relative allelic abundance in individuals heterozygous for the transcribed polymorphism rs880633. Allelic quantification was performed using RNA derived from 45 individuals from the HapMap CEU panel and 41 postmortem brain samples. Association of allelic imbalance with genetic variants was determined at a gene-wide level for the HapMap samples using available genotyping data. RESULTS: Expression of the CHI3L1 transcript is under the control of potently acting cis-variation in lymphoblasts. Polymorphisms in the promoter region of CHI3L1 were significantly associated with this allelic imbalance. In the single postmortem brain tissue investigated, only moderate allelic imbalance was detected and was restricted to a small number of individuals. CONCLUSION: CHI3L1 contains common cis-acting regulatory variants that affect gene expression in lymphoblasts. A previously identified schizophrenia susceptibility variant was significantly associated with allelic imbalance in lymphoblasts. These findings do not support the notion that the schizophrenia-associated CHI3L1 variants influence gene expression in BA46 of the adult brain. We confirm that CHI3L1 contains cis-acting variation but is subject to tissue-specific regulation.

Published
2011
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15. F122WHOLE GENOME SEQUENCING OF SCHIZOPHRENIA IN IRELAND

Author

Michael Gill, Kenneth S. Kendler, Bradley T. Webb, Derek W. Morris, Kari Stefansson, Gary Donohoe, Hreinn Stefansson, Elaine Kenny, John L. Waddington, Aiden Corvin, Silviu Alin Bacanu, and Brien P. Riley

Subjects
Pharmacology, Genetics, Psychiatry and Mental health, Neurology, Schizophrenia (object-oriented programming), Pharmacology (medical), Neurology (clinical), Biology, Biological Psychiatry, DNA sequencing
Published
2019
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16. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

Author

Pamela Sklar, Paul Lichtenstein, Carlos Ferreira, Derek W. Morris, Douglas M. Ruderfer, Nigel Williams, Lyudmila Georgieva, Alan W Maclean, Emma M. Quinn, Srinivasa Thirumalai, Jacob Lawrence, Peter M. Visscher, Andrew McQuillin, António Macedo, Christina M. Hultman, Elaine Kenny, Kevin A. McGhee, George Kirov, Emma Flordal Thelander, Ayman H. Fanous, Walter J. Muir, Stacey Gabriel, Michael Conlon O'Donovan, Finny G Kuruvilla, Aiden Corvin, Edward M. Scolnick, Colm O'Dushlaine, Khalid Choudhury, Patrick Sullivan, Frank A. Middleton, Kimberly Chambert, Nicholas Walker, Christopher P. Morley, Patrick F. Sullivan, Michael Gill, Célia Barreto Carvalho, Manuel A. R. Ferreira, Susmita Datta, Robert Krasucki, M. Helena Azevedo, Soh Leh Kuan, Jennifer L. Moran, Stuart MacGregor, Draga Toncheva, P. Malloy, Douglas Blackwood, Shaun Purcell, Jonathan Pimm, Michael John Owen, Peter Holmans, David V. Conti, Gillian Fraser, Vinay Puri, Naomi R. Wray, Andrew Kirby, Margaret Van Beck, Digby Quested, Kristin G. Ardlie, Ben S. Pickard, Caroline Crombie, Vihra Milanova, Carlos N. Pato, Nicholas John Craddock, Jennifer Stone, Nadine Norton, Mark J. Daly, James A. Knowles, Hugh Gurling, David St Clair, Hywel Williams, Michele T. Pato, Helena Medeiros, Nicholas Bass, and Ivan Nikolov

Subjects
Male, Multifactorial Inheritance, Bipolar Disorder, Epigenetics of schizophrenia, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, Major Histocompatibility Complex, Gene Frequency, mental disorders, medicine, Humans, Genetic Predisposition to Disease, ANK3, Bipolar disorder, Alleles, Psychiatric genetics, Genetics, Multidisciplinary, Models, Genetic, Genome, Human, Genetic Variation, Genome Scans, medicine.disease, Psychiatric Disorder, Europe, Schizophrenia, Case-Control Studies, biology.protein, Female, Zinc finger protein 804A, Genome-Wide Association Study, Clinical psychology
Abstract

Schizophrenia is a severe mental disorder with a lifetime risk of about 1%, characterized by hallucinations, delusions and cognitive deficits, with heritability estimated at up to 80%. We performed a genome-wide association study of 3,322 European individuals with schizophrenia and 3,587 controls. Here we show, using two analytic approaches, the extent to which common genetic variation underlies the risk of schizophrenia. First, we implicate the major histocompatibility complex. Second, we provide molecular genetic evidence for a substantial polygenic component to the risk of schizophrenia involving thousands of common alleles of very small effect. We show that this component also contributes to the risk of bipolar disorder, but not to several non-psychiatric diseases. info:eu-repo/semantics/publishedVersion

Published
2009
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17. Chitinase-3-Like 1 (CHI3L1) Gene and Schizophrenia: Genetic Association and a Potential Functional Mechanism

Author

Paul Scully, Aiden Corvin, Niall Crumlish, Mao Sheng Yang, Siobhan Schwaiger, John L. Quinn, Sarah Clarke, David Meagher, John L. Waddington, Jeanne Marie Nangle, Michael Gill, Gary Donohoe, Eadbhard O'Callaghan, Elaine Kenny, Derek W. Morris, Patrizia A. Baldwin, and Colm T. O'Dushalaine

Subjects
Cross-Cultural Comparison, Male, Psychosis, Genotype, Cell Survival, Locus (genetics), Single-nucleotide polymorphism, Biology, Social Environment, Bioinformatics, Polymorphism, Single Nucleotide, White People, Genetic determinism, Adipokines, Asian People, Risk Factors, Lectins, medicine, Humans, SNP, Genetic Predisposition to Disease, Chitinase-3-Like Protein 1, Allele, Promoter Regions, Genetic, Alleles, Biological Psychiatry, Adaptor Proteins, Signal Transducing, Glycoproteins, Genetic association, Psychiatric Status Rating Scales, Genetics, Genetic Carrier Screening, RNA-Binding Proteins, medicine.disease, Phenotype, Core Binding Factor Alpha 2 Subunit, Schizophrenia, Female, Schizophrenic Psychology
Abstract

Background Gene expression data and association analyses in two Chinese samples implicate chitinase 3-like 1 (CHI3L1), a cellular survival gene, in schizophrenia susceptibility. Methods We tested whether the association data are robust to replication in a Caucasian schizophrenia sample and performed a comprehensive investigation of common genetic variation at the locus. Results In a sample of 375 case and 812 control subjects we identified significant association with the same risk allele at the promoter single nucleotide polymorphism (SNP) associated in the original study (rs10399805; p = .018) and with another SNP at intron 7 of CHI3L1 (rs2275351; p = .008). The rs10399805 SNP is located at position -247 and disrupts the C/EBP-AML-1 binding site in the gene promoter; the risk allele is predicted to increase CHI3L1 expression, as has been reported in several postmortem schizophrenia studies. Carriers of the risk variant presented with fewer positive symptoms and relatively spared cognitive performance compared with other schizophrenia patients. Conclusions These findings support a functional mechanism for involvement of CHI3L1 in schizophrenia susceptibility, possibly contributing to a less severe illness. The associated variants in this study are not well tagged by all Whole-Genome Association (WGA) platforms, suggesting additional genotyping may be necessary despite the imminent availability of WGA data from large SZ samples. Because CHI3L1 may be involved in transmission of stress-induced cellular responses, studies of interaction with known environmental risk factors may also be warranted.

Published
2008
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18. Drug metabolism-related genes as potential biomarkers: analysis of expression in normal and tumour breast tissue

Author

Robert O'Connor, Eoin Ryan, Helena Joyce, Jai Prakash Mehta, Vanesa G. Martinez, Lorraine O'Driscoll, Elaine Kenny, Susan Kennedy, Martin Clynes, Patrick Gammell, John Crown, and Padraig Doolan

Subjects
Adult, Cancer Research, Mammary gland, Gene Expression, Antineoplastic Agents, Breast Neoplasms, Kaplan-Meier Estimate, Biology, medicine.disease_cause, Breast cancer, Cytochrome P-450 Enzyme System, Gene expression, Basic Helix-Loop-Helix Transcription Factors, Biomarkers, Tumor, medicine, Humans, Breast, Survival analysis, Aged, Glutathione Transferase, Oligonucleotide Array Sequence Analysis, Aged, 80 and over, Proportional hazards model, Aryl Hydrocarbon Receptor Nuclear Translocator, Middle Aged, Prognosis, medicine.disease, medicine.anatomical_structure, Oncology, Inactivation, Metabolic, Immunology, Cancer research, Female, DNA microarray, Carcinogenesis, Drug metabolism
Abstract

The complex role of drug metabolism-related enzymes and their possible influence in cancer development, treatment and outcome has not yet been completely elucidated. There is evidence that these enzymes can activate certain environmental procarcinogens to more toxic derivatives and thus a role has been proposed for them in carcinogenesis. The fact that they can also inactivate a number of chemotherapeutic drugs has raised the possibility of these enzymes influencing the sensitivity of tumour cells to anticancer agents. In this report, we analyse the expression of drug metabolism-related genes within a whole genome microarray study of 104 breast cancer and 17 normal breast specimens. Kaplan-Meier survival curves, Chi-squared, and Cox Regression analyses were used to identify associations between expression of gene transcripts and patients' clinicopathological and survival data. Our results show that several of these genes are significantly expressed in both normal and tumour tissue; in many cases, expression is altered in the tumour specimens as compared to normal breast tissue. Moreover, expression of ARNT2 and GST A1 was correlated with prognosis. Kaplan-Meier analysis showed expression of ARNT2 mRNA to correlate significantly with favourable disease outcome for patients, in terms of both their disease-free survival (P = 0.0094) and overall survival (P = 0.0018) times from diagnosis, while detection of GST A1 mRNA correlated with shortened disease-free survival (P = 0.0131) and overall survival (P = 0.0028). Multivariate analysis indicated GST A1 expression to be an independent prognostic factor for overall survival (P = 0.045). Our results suggest a possible use of ARNT2 and GST A1 as prognostic breast cancer biomarkers.

Published
2007
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19. New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis

Author

S. Louis Bridges, Jim van Os, Niek de Vries, Michael Conlon O'Donovan, Joshua C. Denny, Markus M. Nöthen, Wolfgang Maier, Mart A F J van de Laar, Lars Klareskog, Soumya Raychaudhuri, Matthew C. Keller, Bryan J. Mowry, Michael Gill, Susmita Datta, Alexander Gusev, Leonid Padyukov, Benjamin M. Neale, Robert Krasucki, Douglas F. Levinson, Jacob Lawrence, Rita M. Cantor, Christina M. Hultman, Elaine Kenny, Annette M. Hartmann, Ole A. Andreassen, Jeff Greenberg, Lieuwe de Haan, Manuel Mattheisen, Bettina Konte, Ingrid Agartz, Marion Friedl, T. Scott Stroup, Anil K. Malhotra, Kenneth S. Kendler, Carlos N. Pato, Nicholas John Craddock, Srinivasa Thirumalai, Piet L. C. M. van Riel, Stephan Ripke, Enda M. Byrne, George Kirov, Richard Bruggeman, Andrew M. McIntosh, Khalid Choudhury, Eli A. Stahl, Farooq Amin, Marieke J H Coenen, Jeffrey A. Lieberman, Tom W J Huizinga, Robert Freedman, Pablo V. Gejman, Jubao Duan, Durk Wiersma, Patrik K. E. Magnusson, Maria Helena Pinto de Azevedo, Douglas Blackwood, William Byerley, Don H. Linszen, Srdjan Djurovic, Pamela Sklar, Peter K. Gregersen, Todd Lencz, Marcella Rietschel, David Curtis, Danielle Posthuma, Stanley Zammit, Phil Lee, Lizzy Rossin, Yukinori Okada, Henrik B. Rasmussen, Ann Olincy, Anna A. E. Vinkhuyzen, Aiden Corvin, Gary Donohoe, Jonathan Pimm, Yunjung Kim, Alan R. Sanders, Steven A. McCarroll, Ayman H. Fanous, John J. McGrath, Wiepke Cahn, Sven Cichon, Thomas Hansen, Paul P. Tak, Alkes L. Price, Vihra Milanova, Andres Ingason, Patrick F. Sullivan, Xavier Mariette, Ina Giegling, Michael John Owen, Michele T. Pato, Robert Karlsson, Thomas Werge, Ingrid Melle, Nelson B. Freimer, Line Olsen, Jane Worthington, S. Hong Lee, Peter Holmans, Thomas Frisell, Hugh Gurling, Robert C. Cloninger, Andrew McQuillin, Shaun Purcell, Helena Medeiros, Divya Mehta, Katherine A. Siminovitch, Nicholas Bass, Digby Quested, Inez Myin-Germeys, Anna K. Kähler, Peter M. Visscher, Valentina Escott-Price, Nancy G. Buccola, Donald W. Black, Dan Rujescu, Thomas G. Schulze, Danyu Lin, Vasilis X Mantzioris, Xinli Hu, René S. Kahn, Vinay Puri, Naomi R. Wray, Qiongyi Zhao, Jeremy M. Silverman, Mark J. Daly, Benjamin S. Pickard, Jianxin Shi, Colm O'Dushlaine, Morten Mattingsdal, Philippe Dieud, Marian L. Hamshere, Robert M. Plenge, Frank Dudbridge, Derek W. Morris, Douglas M. Ruderfer, Paul Cormican, Lyudmila Georgieva, Philip L. De Jager, Hyon K. Choi, Lydia Krabbendam, David St Clair, Roel A. Ophoff, Psychiatrie & Neuropsychologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), RS: MHeNs - R2 - Mental Health, Complex Trait Genetics, Functional Genomics, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Amsterdam Neuroscience, Adult Psychiatry, Amsterdam institute for Infection and Immunity, Clinical Immunology and Rheumatology, Lee, S Hong, Byrne, Enda M, Hultman, Christina M, Kahler, Anna, Wray, Naomi R, Schizophrenia Working Group of the Psychiatric Genomics Consortium, and Rheumatoid Arthritis Consortium International

Subjects
rheumatoid arthritis, Adult, Male, Adolescent, Epidemiology, Single-nucleotide polymorphism, Genome-wide association study, Biology, Genetic correlation, Polymorphism, Single Nucleotide, Arthritis, Rheumatoid, Cohort Studies, 03 medical and health sciences, Young Adult, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Rheumatoid, pleiotropy, Genetic variation, Genotype, medicine, SNP, Humans, Genetic Predisposition to Disease, Bipolar disorder, Polymorphism, Gene–environment interaction, genome, Public, Environmental & Occupational Health, 030304 developmental biology, Genetics, 0303 health sciences, Arthritis, Genetic Variation, Single Nucleotide, General Medicine, Middle Aged, medicine.disease, genetic relationship, 3. Good health, Miscellaneous, schizophrenia, Cross-Sectional Studies, Schizophrenia, Female, Gene-Environment Interaction, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Background: A 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. Methods: We 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. Results: We 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). Conclusions: Our 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. Refereed/Peer-reviewed

Published
2015
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20. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Author

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

Subjects
Netherlands Twin Register (NTR), Statistical methods, Autism, Medizin, LOCI, Genome-wide association study, heritability, Genome-wide association studies, Histones, Genètica mèdica, 0302 clinical medicine, Histone methylation, Databases, Genetic, 2.1 Biological and endogenous factors, Psychology, GWAS, Aetiology, Psychiatric genetics, R2C, bipolar disorder, Psychiatry, 0303 health sciences, Disorders, Loci, Depression, General Neuroscience, Mental Disorders, Medical genetics, METHYLATION, Brain, 3rd-DAS, Serious Mental Illness, Psychiatric Disorders, 3. Good health, Histone, Mental Health, Schizophrenia, Mental Disorder, Cognitive Sciences, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Promoters, BDC, BURDEN, RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry, Human, Signal Transduction, medicine.medical_specialty, DISORDERS, Genomics, Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium, Burden, Biology, Methylation, Article, Biological pathway, PROMOTERS, 03 medical and health sciences, Databases, Genetic, medicine, Genetics, Humans, Genetic Predisposition to Disease, histone methylation, Bipolar disorder, Psiquiatria, AUTISM, 030304 developmental biology, Genetic association, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Neurology & Neurosurgery, Neuroscience (all), Human Genome, Neurosciences, medicine.disease, Brain Disorders, Good Health and Well Being, DE-NOVO MUTATIONS, Perturbações do Desenvolvimento Infantil e Saúde Mental, RC0321, Genome-wide Association Studies, De-novo mutations, major depression, Neuroscience, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

G.B. and S.N. acknowledge funding support for this work from the National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. P.H.L. is supported by US National Institute of Mental Health (NIMH) grant K99MH101367. Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders. Postprint

Published
2015
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21. Joint Analysis of Psychiatric Disorders Increases Accuracy of Risk Prediction for Schizophrenia, Bipolar Disorder, and Major Depressive Disorder

Author

Robert Maier, Gerhard Moser, Guo-Bo Chen, Stephan Ripke, William Coryell, James B. Potash, William A. Scheftner, Jianxin Shi, Myrna M. Weissman, Christina M. Hultman, Mikael Landén, Douglas F. Levinson, Kenneth S. Kendler, Jordan W. Smoller, Naomi R. Wray, S. Hong Lee, Devin Absher, Ingrid Agartz, Huda Akil, Farooq Amin, Ole A. Andreassen, Adebayo Anjorin, Richard Anney, Dan E. Arking, Philip Asherson, Maria H. Azevedo, Lena Backlund, Judith A. Badner, Anthony J. Bailey, Tobias Banaschewski, Jack D. Barchas, Michael R. Barnes, Thomas B. Barrett, Nicholas Bass, Agatino Battaglia, Michael Bauer, Mònica Bayés, Frank Bellivier, Sarah E. Bergen, Wade Berrettini, Catalina Betancur, Thomas Bettecken, Joseph Biederman, Elisabeth B. Binder, Donald W. Black, Douglas H.R. Blackwood, Cinnamon S. Bloss, Michael Boehnke, Dorret I. Boomsma, Gerome Breen, René Breuer, Richard Bruggeman, Nancy G. Buccola, Jan K. Buitelaar, William E. Bunney, Joseph D. Buxbaum, William F. Byerley, Sian Caesar, Wiepke Cahn, Rita M. Cantor, Miguel Casas, Aravinda Chakravarti, Kimberly Chambert, Khalid Choudhury, Sven Cichon, C. Robert Cloninger, David A. Collier, Edwin H. Cook, Hilary Coon, Bru Cormand, Paul Cormican, Aiden Corvin, William H. Coryell, Nicholas Craddock, David W. Craig, Ian W. Craig, Jennifer Crosbie, Michael L. Cuccaro, David Curtis, Darina Czamara, Mark J. Daly, Susmita Datta, Geraldine Dawson, Richard Day, Eco J. De Geus, Franziska Degenhardt, Bernie Devlin, Srdjan Djurovic, Gary J. Donohoe, Alysa E. Doyle, Jubao Duan, Frank Dudbridge, Eftichia Duketis, Richard P. Ebstein, Howard J. Edenberg, Josephine Elia, Sean Ennis, Bruno Etain, Ayman Fanous, Stephen V. Faraone, Anne E. Farmer, I. Nicol Ferrier, Matthew Flickinger, Eric Fombonne, Tatiana Foroud, Josef Frank, Barbara Franke, Christine Fraser, Robert Freedman, Nelson B. Freimer, Christine M. Freitag, Marion Friedl, Louise Frisén, Louise Gallagher, Pablo V. Gejman, Lyudmila Georgieva, Elliot S. Gershon, Daniel H. Geschwind, Ina Giegling, Michael Gill, Scott D. Gordon, Katherine Gordon-Smith, Elaine K. Green, Tiffany A. Greenwood, Dorothy E. Grice, Magdalena Gross, Detelina Grozeva, Weihua Guan, Hugh Gurling, Lieuwe De Haan, Jonathan L. Haines, Hakon Hakonarson, Joachim Hallmayer, Steven P. Hamilton, Marian L. Hamshere, Thomas F. Hansen, Annette M. Hartmann, Martin Hautzinger, Andrew C. Heath, Anjali K. Henders, Stefan Herms, Ian B. Hickie, Maria Hipolito, Susanne Hoefels, Peter A. Holmans, Florian Holsboer, Witte J. Hoogendijk, Jouke-Jan Hottenga, Vanessa Hus, Andrés Ingason, Marcus Ising, Stéphane Jamain, Ian Jones, Lisa Jones, Anna K. Kähler, René S. Kahn, Radhika Kandaswamy, Matthew C. Keller, John R. Kelsoe, James L. Kennedy, Elaine Kenny, Lindsey Kent, Yunjung Kim, George K. Kirov, Sabine M. Klauck, Lambertus Klei, James A. Knowles, Martin A. Kohli, Daniel L. Koller, Bettina Konte, Ania Korszun, Lydia Krabbendam, Robert Krasucki, Jonna Kuntsi, Phoenix Kwan, Niklas Långström, Mark Lathrop, Jacob Lawrence, William B. Lawson, Marion Leboyer, David H. Ledbetter, Phil H. Lee, Todd Lencz, Klaus-Peter Lesch, Cathryn M. Lewis, Jun Li, Paul Lichtenstein, Jeffrey A. Lieberman, Dan-Yu Lin, Don H. Linszen, Chunyu Liu, Falk W. Lohoff, Sandra K. Loo, Catherine Lord, Jennifer K. Lowe, Susanne Lucae, Donald J. MacIntyre, Pamela A.F. Madden, Elena Maestrini, Patrik K.E. Magnusson, Pamela B. Mahon, Wolfgang Maier, Anil K. Malhotra, Shrikant M. Mane, Christa L. Martin, Nicholas G. Martin, Manuel Mattheisen, Keith Matthews, Morten Mattingsdal, Steven A. McCarroll, Kevin A. McGhee, James J. McGough, Patrick J. McGrath, Peter McGuffin, Melvin G. McInnis, Andrew McIntosh, Rebecca McKinney, Alan W. McLean, Francis J. McMahon, William M. McMahon, Andrew McQuillin, Helena Medeiros, Sarah E. Medland, Sandra Meier, Ingrid Melle, Fan Meng, Jobst Meyer, Christel M. Middeldorp, Lefkos Middleton, Vihra Milanova, Ana Miranda, Anthony P. Monaco, Grant W. Montgomery, Jennifer L. Moran, Daniel Moreno-De-Luca, Gunnar Morken, Derek W. Morris, Eric M. Morrow, Valentina Moskvina, Bryan J. Mowry, Pierandrea Muglia, Thomas W. Mühleisen, Bertram Müller-Myhsok, Michael Murtha, Richard M. Myers, Inez Myin-Germeys, Benjamin M. Neale, Stan F. Nelson, Caroline M. Nievergelt, Ivan Nikolov, Vishwajit Nimgaonkar, Willem A. Nolen, Markus M. Nöthen, John I. Nurnberger, Evaristus A. Nwulia, Dale R. Nyholt, Michael C. O’Donovan, Colm O’Dushlaine, Robert D. Oades, Ann Olincy, Guiomar Oliveira, Line Olsen, Roel A. Ophoff, Urban Osby, Michael J. Owen, Aarno Palotie, Jeremy R. Parr, Andrew D. Paterson, Carlos N. Pato, Michele T. Pato, Brenda W. Penninx, Michele L. Pergadia, Margaret A. Pericak-Vance, Roy H. Perlis, Benjamin S. Pickard, Jonathan Pimm, Joseph Piven, Danielle Posthuma, Fritz Poustka, Peter Propping, Shaun M. Purcell, Vinay Puri, Digby J. Quested, Emma M. Quinn, Josep Antoni Ramos-Quiroga, Henrik B. Rasmussen, Soumya Raychaudhuri, Karola Rehnström, Andreas Reif, Marta Ribasés, John P. Rice, Marcella Rietschel, Kathryn Roeder, Herbert Roeyers, Lizzy Rossin, Aribert Rothenberger, Guy Rouleau, Douglas Ruderfer, Dan Rujescu, Alan R. Sanders, Stephan J. Sanders, Susan L. Santangelo, Russell Schachar, Martin Schalling, Alan F. Schatzberg, Gerard D. Schellenberg, Stephen W. Scherer, Nicholas J. Schork, Thomas G. Schulze, Johannes Schumacher, Markus Schwarz, Edward Scolnick, Laura J. Scott, Joseph A. Sergeant, Paul D. Shilling, Stanley I. Shyn, Jeremy M. Silverman, Pamela Sklar, Susan L. Slager, Susan L. Smalley, Johannes H. Smit, Erin N. Smith, Edmund J.S. Sonuga-Barke, David St Clair, Matthew State, Michael Steffens, Hans-Christoph Steinhausen, John S. Strauss, Jana Strohmaier, T. Scott Stroup, Patrick F. Sullivan, James Sutcliffe, Peter Szatmari, Szabocls Szelinger, Anita Thapar, Srinivasa Thirumalai, Robert C. Thompson, Alexandre A. Todorov, Federica Tozzi, Jens Treutlein, Jung-Ying Tzeng, Manfred Uhr, Edwin J.C.G. van den Oord, Gerard Van Grootheest, Jim Van Os, Astrid M. Vicente, Veronica J. Vieland, John B. Vincent, Peter M. Visscher, Christopher A. Walsh, Thomas H. Wassink, Stanley J. Watson, Lauren A. Weiss, Thomas Werge, Thomas F. Wienker, Durk Wiersma, Ellen M. Wijsman, Gonneke Willemsen, Nigel Williams, A. Jeremy Willsey, Stephanie H. Witt, Wei Xu, Allan H. Young, Timothy W. Yu, Stanley Zammit, Peter P. Zandi, Peng Zhang, Frans G. Zitman, Sebastian Zöllner, University of Zurich, Lee, S Hong, Epidemiology and Data Science, Psychiatry, EMGO - Mental health, NCA - Neurobiology of mental health, Human genetics, NCA - Brain mechanisms in health and disease, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Maier, Robert, Moser, Gerhard, Chen, Guo-Bo, Ripke, Stephan, Coryell, William, Potash, James B, Scheftner, William A, Shi, Jianxin, Weissman, Myrna M, Hultman, Christina M, Landen, Mikael, Levinson, Douglas F, Kendler, Kenneth S, Smoller, Jordan, Wray, Naomi R, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Oades, Robert D. (Beitragende*r), Génétique de l'autisme = Genetics of Autism (NPS-01), Neuroscience Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of St Andrews. School of Medicine, University of St Andrews. Institute of Behavioural and Neural Sciences, Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), ANS - Amsterdam Neuroscience, Adult Psychiatry, Child Psychiatry, Maier R., Moser G., Chen G.-B., Ripke S., Coryell W., Potash J.B., Scheftner W.A., Shi J., Weissman M.M., Hultman C.M., Landen M., Levinson D.F., Kendler K.S., Smoller J.W., Wray N.R., Lee S.H., Absher D., Agartz I., Akil H., Amin F., Andreassen O.A., Anjorin A., Anney R., Arking D.E., Asherson P., Azevedo M.H., Backlund L., Badner J.A., Bailey A.J., Banaschewski T., Barchas J.D., Barnes M.R., Barrett T.B., Bass N., Battaglia A., Bauer M., Bayes M., Bellivier F., Bergen S.E., Berrettini W., Betancur C., Bettecken T., Biederman J., Binder E.B., Black D.W., Blackwood D.H.R., Bloss C.S., Boehnke M., Boomsma D.I., Breen G., Breuer R., Bruggeman R., Buccola N.G., Buitelaar J.K., Bunney W.E., Buxbaum J.D., Byerley W.F., Caesar S., Cahn W., Cantor R.M., Casas M., Chakravarti A., Chambert K., Choudhury K., Cichon S., Robert Cloninger C., Collier D.A., Cook E.H., Coon H., Cormand B., Cormican P., Corvin A., Coryell W.H., Craddock N., Craig D.W., Craig I.W., Crosbie J., Cuccaro M.L., Curtis D., Czamara D., Daly M.J., Datta S., Dawson G., Day R., De Geus E.J., Degenhardt F., Devlin B., Djurovic S., Donohoe G.J., Doyle A.E., Duan J., Dudbridge F., Duketis E., Ebstein R.P., Edenberg H.J., Elia J., Ennis S., Etain B., Fanous A., Faraone S.V., Farmer A.E., Nicol Ferrier I., Flickinger M., Fombonne E., Foroud T., Frank J., Franke B., Fraser C., Freedman R., Freimer N.B., Freitag C.M., Friedl M., Frisen L., Gallagher L., Gejman P.V., Georgieva L., Gershon E.S., Geschwind D.H., Giegling I., Gill M., Gordon S.D., Gordon-Smith K., Green E.K., Greenwood T.A., Grice D.E., Gross M., Grozeva D., Guan W., Gurling H., De Haan L., Haines J.L., Hakonarson H., Hallmayer J., Hamilton S.P., Hamshere M.L., Hansen T.F., Hartmann A.M., Hautzinger M., Heath A.C., Henders A.K., Herms S., Hickie I.B., Hipolito M., Hoefels S., Holmans P.A., Holsboer F., Hoogendijk W.J., Hottenga J.-J., Hus V., Ingason A., Ising M., Jamain S., Jones I., Jones L., Kahler A.K., Kahn R.S., Kandaswamy R., Keller M.C., Kelsoe J.R., Kennedy J.L., Kenny E., Kent L., Kim Y., Kirov G.K., Klauck S.M., Klei L., Knowles J.A., Kohli M.A., Koller D.L., Konte B., Korszun A., Krabbendam L., Krasucki R., Kuntsi J., Kwan P., Langstrom N., Lathrop M., Lawrence J., Lawson W.B., Leboyer M., Ledbetter D.H., Lee P.H., Lencz T., Lesch K.-P., Lewis C.M., Li J., Lichtenstein P., Lieberman J.A., Lin D.-Y., Linszen D.H., Liu C., Lohoff F.W., Loo S.K., Lord C., Lowe J.K., Lucae S., MacIntyre D.J., Madden P.A.F., Maestrini E., Magnusson P.K.E., Mahon P.B., Maier W., Malhotra A.K., Mane S.M., Martin C.L., Martin N.G., Mattheisen M., Matthews K., Mattingsdal M., McCarroll S.A., McGhee K.A., McGough J.J., McGrath P.J., McGuffin P., McInnis M.G., McIntosh A., McKinney R., McLean A.W., McMahon F.J., McMahon W.M., McQuillin A., Medeiros H., Medland S.E., Meier S., Melle I., Meng F., Meyer J., Middeldorp C.M., Middleton L., Milanova V., Miranda A., Monaco A.P., Montgomery G.W., Moran J.L., Moreno-De-Luca D., Morken G., Morris D.W., Morrow E.M., Moskvina V., Mowry B.J., Muglia P., Muhleisen T.W., Muller-Myhsok B., Murtha M., Myers R.M., Myin-Germeys I., Neale B.M., Nelson S.F., Nievergelt C.M., Nikolov I., Nimgaonkar V., Nolen W.A., Nothen M.M., Nurnberger J.I., Nwulia E.A., Nyholt D.R., O'Donovan M.C., O'Dushlaine C., Oades R.D., Olincy A., Oliveira G., Olsen L., Ophoff R.A., Osby U., Owen M.J., Palotie A., Parr J.R., Paterson A.D., Pato C.N., Pato M.T., Penninx B.W., Pergadia M.L., Pericak-Vance M.A., Perlis R.H., Pickard B.S., Pimm J., Piven J., Posthuma D., Poustka F., Propping P., Purcell S.M., Puri V., Quested D.J., Quinn E.M., Ramos-Quiroga J.A., Rasmussen H.B., Raychaudhuri S., Rehnstrom K., Reif A., Ribases M., Rice J.P., Rietschel M., Roeder K., Roeyers H., Rossin L., Rothenberger A., Rouleau G., Ruderfer D., Rujescu D., Sanders A.R., Sanders S.J., Santangelo S.L., Schachar R., Schalling M., Schatzberg A.F., Schellenberg G.D., Scherer S.W., Schork N.J., Schulze T.G., Schumacher J., Schwarz M., Scolnick E., Scott L.J., Sergeant J.A., Shilling P.D., Shyn S.I., Silverman J.M., Sklar P., Slager S.L., Smalley S.L., Smit J.H., Smith E.N., Sonuga-Barke E.J.S., St Clair D., State M., Steffens M., Steinhausen H.-C., Strauss J.S., Strohmaier J., Scott Stroup T., Sullivan P.F., Sutcliffe J., Szatmari P., Szelinger S., Thapar A., Thirumalai S., Thompson R.C., Todorov A.A., Tozzi F., Treutlein J., Tzeng J.-Y., Uhr M., van den Oord E.J.C.G., Van Grootheest G., Van Os J., Vicente A.M., Vieland V.J., Vincent J.B., Visscher P.M., Walsh C.A., Wassink T.H., Watson S.J., Weiss L.A., Werge T., Wienker T.F., Wiersma D., Wijsman E.M., Willemsen G., Williams N., Jeremy Willsey A., Witt S.H., Xu W., Young A.H., Yu T.W., Zammit S., Zandi P.P., Zhang P., Zitman F.G., and Zollner S.

Subjects
Netherlands Twin Register (NTR), Multifactorial Inheritance, Multivariate analysis, Bipolar Disorder, genome annotation, Medizin, R Medicine (General), Medical and Health Sciences, Genome-wide association studies, 0302 clinical medicine, 2.5 Research design and methodologies (aetiology), GWAS, Genetics(clinical), Aetiology, Multivariate Analysi, Genetics (clinical), Genetics & Heredity, bipolar disorder, 0303 health sciences, education.field_of_study, Depression, Mental Disorders, Single Nucleotide, 3rd-DAS, Biological Sciences, 10058 Department of Child and Adolescent Psychiatry, Serious Mental Illness, Psychiatric Disorders, 3. Good health, Mental Health, Schizophrenia, Mental Disorder, Linear Model, Major depressive disorder, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Risk assessment, Human, medicine.medical_specialty, 2716 Genetics (clinical), Genetics, Medical, Population, SNP, 610 Medicine & health, QH426 Genetics, Best linear unbiased prediction, Polymorphism, Single Nucleotide, Risk Assessment, 03 medical and health sciences, 1311 Genetics, Medical, Report, medicine, Genetics, Humans, Bipolar disorder, Genetic Testing, Polymorphism, education, Psychiatry, QH426, 030304 developmental biology, Depressive Disorder, Depressive Disorder, Major, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Prevention, Human Genome, Major, medicine.disease, genetic risk prediction, R1, Brain Disorders, schizophrenia, Sample size determination, Perturbações do Desenvolvimento Infantil e Saúde Mental, Multivariate Analysis, Linear Models, business, depressive disorders, 030217 neurology & neurosurgery
Abstract

Cross-Disorder Working Group of the Psychiatric Genomics Consortium - Vicente A.M. Acessível em: http://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25640677/ Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased prediction for genetic risk prediction. This method exploits correlations between disorders and simultaneously evaluates individual risk for each disorder. We show that the multivariate approach significantly increases the prediction accuracy for schizophrenia, bipolar disorder, and major depressive disorder in the discovery as well as in independent validation datasets. By grouping SNPs based on genome annotation and fitting multiple random effects, we show that the prediction accuracy could be further improved. The gain in prediction accuracy of the multivariate approach is equivalent to an increase in sample size of 34% for schizophrenia, 68% for bipolar disorder, and 76% for major depressive disorders using single trait models. Because our approach can be readily applied to any number of GWAS datasets of correlated traits, it is a flexible and powerful tool to maximize prediction accuracy. With current sample size, risk predictors are not useful in a clinical setting but already are a valuable research tool, for example in experimental designs comparing cases with high and low polygenic risk

Published
2015
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22. Next-generation sequencing of the mitochondrial genome and association with IgA nephropathy in a renal transplant population

Author

Alexander P. Maxwell, Amy Jayne McKnight, Adam P. Douglas, Derek W. Morris, Elaine Kenny, and Dwaine Vance

Subjects
Mitochondrial DNA, Genotype, Population, Genomics, Mitochondrion, urologic and male genital diseases, Bioinformatics, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Article, DNA sequencing, Nephropathy, Gene Frequency, medicine, Humans, education, Alleles, Genetic Association Studies, Kidney transplantation, education.field_of_study, Multidisciplinary, business.industry, High-Throughput Nucleotide Sequencing, Reproducibility of Results, Glomerulonephritis, IGA, medicine.disease, Kidney Transplantation, Genes, Mitochondrial, Genome, Mitochondrial, Kidney Failure, Chronic, business, Kidney disease
Abstract

Kidneys are highly aerobic organs that are critically dependent on the normal functioning of mitochondria. Genetic variations disrupting mitochondrial function are associated with multifactorial disorders including kidney disease. This study sequenced the entire mitochondrial genome in a renal transplant cohort of 64 individuals, using next-generation sequencing, to evaluate the association of genetic variants with IgA nephropathy and end-stage renal disease (ESRD, n = 100).

Published
2014
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24. Translation of 5' leaders is pervasive in genes resistant to eIF2 repression

Author

Ciara Fahey, Ilya M. Terenin, Derek W. Morris, Elaine Kenny, Paul Cormican, Ivan N. Shatsky, Pavel V. Baranov, Patrick B F O'Connor, Sergey E. Dmitriev, and Dmitry E. Andreev

Subjects
Five prime untranslated region, QH301-705.5, Arsenites, Science, Eukaryotic Initiation Factor-2, eukaryotic initiation factor 2, upstream open reading frame, Biology, Biochemistry, General Biochemistry, Genetics and Molecular Biology, Immediate-Early Proteins, Open Reading Frames, Protein Phosphatase 1, Upstream open reading frame, Initiation factor, Humans, integrated stress response (ISR), Ribosome profiling, RNA, Messenger, human, Biology (General), Genetics, ribosome profiling, General Immunology and Microbiology, General Neuroscience, EIF4E, General Medicine, EIF4A1, integrated stress response, Sodium Compounds, Eukaryotic translation initiation factor 4 gamma, Repressor Proteins, EIF4EBP1, Oxidative Stress, upstream open reading frame (uORF), HEK293 Cells, Gene Expression Regulation, Genomics and Evolutionary Biology, 5′ leader translation, Protein Biosynthesis, eukaryotic initiation factor 2 (eIF2), bicistronic mRNA, Mutagenesis, Site-Directed, Medicine, Ribosomes, Research Article
Abstract

Eukaryotic cells rapidly reduce protein synthesis in response to various stress conditions. This can be achieved by the phosphorylation-mediated inactivation of a key translation initiation factor, eukaryotic initiation factor 2 (eIF2). However, the persistent translation of certain mRNAs is required for deployment of an adequate stress response. We carried out ribosome profiling of cultured human cells under conditions of severe stress induced with sodium arsenite. Although this led to a 5.4-fold general translational repression, the protein coding open reading frames (ORFs) of certain individual mRNAs exhibited resistance to the inhibition. Nearly all resistant transcripts possess at least one efficiently translated upstream open reading frame (uORF) that represses translation of the main coding ORF under normal conditions. Site-specific mutagenesis of two identified stress resistant mRNAs (PPP1R15B and IFRD1) demonstrated that a single uORF is sufficient for eIF2-mediated translation control in both cases. Phylogenetic analysis suggests that at least two regulatory uORFs (namely, in SLC35A4 and MIEF1) encode functional protein products. DOI: http://dx.doi.org/10.7554/eLife.03971.001, eLife digest Proteins carry out essential tasks for living cells and genes contain the instructions to make proteins within their DNA. These instructions are copied to make a molecule of mRNA, and a molecular machine known as a ribosome then reads and translates the mRNA to build the protein. The first step in the translation process is called ‘initiation’ and requires a protein called eIF2 to work together with the ribosome. This step involves identifying an instruction called the start codon that marks the beginning of the mRNA's coding sequence. The section of an mRNA molecule before the start codon is not normally translated by the ribosome and is hence called the 5′ untranslated region. Building proteins requires energy and resources, and so it is carefully regulated. If a cell is stressed, such as by being exposed to harmful chemicals, it makes fewer proteins in order to conserve its resources. This down-regulation of protein production is achieved in part by the cell chemically modifying its eIF2 proteins to make them less able to initiate translation. However, stressed cells still continue to make more of certain proteins that help them to combat stress. The mRNA molecules for some of these proteins contain at least one other start codon in the 5′ untranslated region. The sequence that would be translated from such a start codon is known as an upstream open reading frame (or uORF for short)—and this feature is thought to help certain proteins to still be expressed despite low levels of active eIF2. Andreev, O'Connor et al. have now analysed which mRNAs are translated in human cells that have been treated with a chemical that induces stress and makes the eIF2 protein less able to initiate translation. To do so, a technique called ribosome profiling was used to identify all of the mRNA molecules bound to ribosomes shortly after treatment with this chemical. Overall translation of most mRNAs in stressed cells was reduced to a quarter of the normal level. However, Andreev, O'Connor et al. observed that the translation of a few mRNAs continued almost as normal, or even increased, after the chemical treatment. Notably, most of these mRNAs encoded regulatory proteins, which are not required in large amounts. With one exception, all of these resistant mRNAs contained uORFs. In unstressed cells, these uORFs were efficiently translated, while the same mRNA's coding sequences were translated less efficiently. Andreev, O'Connor et al. suggest that these two features could be used to identify mRNAs that are still translated into working proteins when cells are stressed. Further work is now needed to explore the mechanisms by which translation of these uORFs allows mRNAs to resist the stress. DOI: http://dx.doi.org/10.7554/eLife.03971.002

Published
2014

25. Identification of mechanosensitive genes during skeletal development: alteration of genes associated with cytoskeletal rearrangement and cell signalling pathways

Author

Rebecca A. Rolfe, Daniel J. Kelly, Paula Murphy, Patrick J. Prendergast, Niamh C. Nowlan, Elaine Kenny, Derek W. Morris, and Paul Cormican

Subjects
Candidate gene, Cellular differentiation, Skeletal development, Down-Regulation, Embryonic Development, Biology, Mechanotransduction, Cellular, Transcriptome, Mice, 03 medical and health sciences, 0302 clinical medicine, Genetics, Animals, Paired Box Transcription Factors, Mechanosensitive genes, Mechanotransduction, PAX3 Transcription Factor, Gene, Cytoskeleton, Wnt signalling, Oligonucleotide Array Sequence Analysis, 030304 developmental biology, Regulator gene, 0303 health sciences, Mechanical stimulation, Sequence Analysis, RNA, Gene Expression Profiling, Wnt signaling pathway, Membrane Proteins, Cell Differentiation, Humerus, Embryo, Mammalian, Up-Regulation, Cell biology, Wnt Proteins, Gene expression profiling, Joints, Spd, 030217 neurology & neurosurgery, Signal Transduction, Research Article, Biotechnology
Abstract

BackgroundMechanical stimulation is necessary for regulating correct formation of the skeleton. Here we test the hypothesis that mechanical stimulation of the embryonic skeletal system impacts expression levels of genes implicated in developmentally important signalling pathways in a genome wide approach. We use a mutant mouse model with altered mechanical stimulation due to the absence of limb skeletal muscle (Splotch-delayed) where muscle-less embryos show specific defects in skeletal elements including delayed ossification, changes in the size and shape of cartilage rudiments and joint fusion. We used Microarray and RNA sequencing analysis tools to identify differentially expressed genes between muscle-less and control embryonic (TS23) humerus tissue.ResultsWe found that 680 independent genes were down-regulated and 452 genes up-regulated in humeri from muscle-less Spd embryos compared to littermate controls (at least 2-fold; corrected p-value ≤0.05). We analysed the resulting differentially expressed gene sets using Gene Ontology annotations to identify significant enrichment of genes associated with particular biological processes, showing that removal of mechanical stimuli from muscle contractions affected genes associated with development and differentiation, cytoskeletal architecture and cell signalling. Among cell signalling pathways, the most strongly disturbed was Wnt signalling, with 34 genes including 19 pathway target genes affected. Spatial gene expression analysis showed that both a Wnt ligand encoding gene (Wnt4) and a pathway antagonist (Sfrp2) are up-regulated specifically in the developing joint line, while the expression of a Wnt target gene,Cd44, is no longer detectable in muscle-less embryos. The identification of 84 genes associated with the cytoskeleton that are down-regulated in the absence of muscle indicates a number of candidate genes that are both mechanoresponsive and potentially involved in mechanotransduction, converting a mechanical stimulus into a transcriptional response.ConclusionsThis work identifies key developmental regulatory genes impacted by altered mechanical stimulation, sheds light on the molecular mechanisms that interpret mechanical stimulation during skeletal development and provides valuable resources for further investigation of the mechanistic basis of mechanoregulation. In particular it highlights the Wnt signalling pathway as a potential point of integration of mechanical and molecular signalling and cytoskeletal components as mediators of the response.

Published
2014
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26. Excess of rare novel loss-of-function variants in synaptic genes in schizophrenia and autism spectrum disorders

Author

Aiden Corvin, Richard Anney, Sean Ennis, Heron E, Louise Gallagher, Derek W. Morris, Graham Kenny, Daniela Tropea, Michael Gill, Paul Cormican, Eric Kelleher, Ciara Fahey, Elaine Kenny, Sarah Furlong, Gary Donohoe, Health Research Board, and Science Foundation Ireland

Subjects
Male, Neurexin, autism, Neuroligin, Nerve Tissue Proteins, Biology, medicine.disease_cause, White People, loss-of-function, Cellular and Molecular Neuroscience, DISC1, synapse, mental disorders, medicine, Humans, Genetic Predisposition to Disease, Molecular Biology, Gene, Loss function, Genetics, Mutation, sequencing, Middle Aged, medicine.disease, schizophrenia, Psychiatry and Mental health, Child Development Disorders, Pervasive, Case-Control Studies, biology.protein, Autism, GRIN2B, Female, mutation
Abstract

Schizophrenia (SZ) and autism spectrum disorders (ASDs) are complex neurodevelopmental disorders that may share an underlying pathology suggested by shared genetic risk variants. We sequenced the exonic regions of 215 genes in 147 ASD cases, 273 SZ cases and 287 controls, to identify rare risk mutations. Genes were primarily selected for their function in the synapse and were categorized as: (1) Neurexin and Neuroligin Interacting Proteins, (2) Post-synaptic Glutamate Receptor Complexes, (3) Neural Cell Adhesion Molecules, (4) DISC1 and Interactors and (5) Functional and Positional Candidates. Thirty-one novel loss-of-function (LoF) variants that are predicted to severely disrupt protein-coding sequence were detected among 2 861 rare variants. We found an excess of LoF variants in the combined cases compared with controls (P=0.02). This effect was stronger when analysis was limited to singleton LoF variants (P=0.0007) and the excess was present in both SZ (P=0.002) and ASD (P=0.001). As an individual gene category, Neurexin and Neuroligin Interacting Proteins carried an excess of LoF variants in cases compared with controls (P=0.05). A de novo nonsense variant in GRIN2B was identified in an ASD case adding to the growing evidence that this is an important risk gene for the disorder. These data support synapse formation and maintenance as key molecular mechanisms for SZ and ASD.Schizophrenia (SZ) and autism spectrum disorders (ASDs) are complex neurodevelopmental disorders that may share an underlying pathology suggested by shared genetic risk variants. We sequenced the exonic regions of 215 genes in 147 ASD cases, 273 SZ cases and 287 controls, to identify rare risk mutations. Genes were primarily selected for their function in the synapse and were categorized as: (1) Neurexin and Neuroligin Interacting Proteins, (2) Post-synaptic Glutamate Receptor Complexes, (3) Neural Cell Adhesion Molecules, (4) DISC1 and Interactors and (5) Functional and Positional Candidates. Thirty-one novel loss-of-function (LoF) variants that are predicted to severely disrupt protein-coding sequence were detected among 2 861 rare variants. We found an excess of LoF variants in the combined cases compared with controls (P=0.02). This effect was stronger when analysis was limited to singleton LoF variants (P=0.0007) and the excess was present in both SZ (P=0.002) and ASD (P=0.001). As an individual gene category, Neurexin and Neuroligin Interacting Proteins carried an excess of LoF variants in cases compared with controls (P=0.05). A de novo nonsense variant in GRIN2B was identified in an ASD case adding to the growing evidence that this is an important risk gene for the disorder. These data support synapse formation and maintenance as key molecular mechanisms for SZ and ASD. We sincerely thank all patients who contributed to this study and all staff who facilitated their involvement. Funding for this study was provided by the Health Research Board (HRB Ireland; HRA/2009/45) and Science Foundation Ireland (SFI; 08/IN.1/B1916). Next-generation sequencing was performed in TrinSeq (Trinity Genome Sequencing Laboratory; http://www.medicine.tcd.ie/sequencing), a core facility funded by SFI under Grant No. [07/RFP/GEN/F327/EC07] to Dr Morris. Ms Furlong’s PhD studentship is funded by the HRB 4-Year PhD Programme in Molecular Medicine at TCD. We acknowledge use of the Trinity Biobank control sample and support from the Trinity Centre for High Performance Computing. This work was supported by grant funding from the Health Research Board (Ireland). peer-reviewed

Published
2013

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

Author

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

Subjects
Netherlands Twin Register (NTR), Medizin, Inheritance Patterns, Social Sciences, AUTISM SPECTRUM DISORDERS, nosology, heritability, COMMON SNPS, 0302 clinical medicine, Crohn Disease, SCHIZOPHRENIA, Child, Psychiatric genetics, Genetics & Heredity, MAJOR DEPRESSIVE DISORDER, RISK, 0303 health sciences, ATTENTION-DEFICIT/HYPERACTIVITY DISORDER, 120 000 Neuronal Coherence, Mental Disorders, Variants, BIPOLAR DISORDER, ASSOCIATION, Genomic disorders and inherited multi-system disorders [DCN PAC - Perception action and control IGMD 3], Psychiatric Disorders, CROHNS-DISEASE, 3. Good health, Schizophrenia, genetic association study, Medical genetics, Major depressive disorder, SNPs, Adult, medicine.medical_specialty, genetic etiology, medical genetics, DEFICIT HYPERACTIVITY DISORDER, Biology, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Article, Genomic disorders and inherited multi-system disorders DCN MP - Plasticity and memory [IGMD 3], Heritability, Genetic Heterogeneity, 03 medical and health sciences, Prevalence of mental disorders, mental disorders, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Genetics, medicine, ddc:61, Humans, Attention deficit hyperactivity disorder, Genetic Predisposition to Disease, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, DCN PAC - Perception action and control NCEBP 9 - Mental health, ddc:610, Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Bipolar disorder, Psychiatry, 030304 developmental biology, Depressive Disorder, Major, Genome, Human, Genetic heterogeneity, medicine.disease, schizophrenia, Attention Deficit Disorder with Hyperactivity, Child Development Disorders, Pervasive, Perturbações do Desenvolvimento Infantil e Saúde Mental, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

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

Published
2013
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28. Delineating the genetic heterogeneity of ALS using targeted high-throughput sequencing

Author

Colette Donaghy, Mark Heverin, Marwa Elamin, Daniel G. Bradley, Russell L. McLaughlin, Derek W. Morris, Paul Cormican, Kevin P. Kenna, Elaine Kenny, Orla Hardiman, and Susan Byrne

Subjects
Genetic Markers, Male, medicine.medical_specialty, Motor Neurone Disease, Penetrance, Biology, TARDBP, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, C9orf72, Molecular genetics, Genetics, medicine, Genetic predisposition, Humans, Genetic Predisposition to Disease, Amyotrophic lateral sclerosis, Genetics (clinical), 030304 developmental biology, Aged, 0303 health sciences, Genetic heterogeneity, Amyotrophic Lateral Sclerosis, High-Throughput Nucleotide Sequencing, Sequence Analysis, DNA, Middle Aged, medicine.disease, 3. Good health, Phenotype, Genetic epidemiology, Genetic Epidemiology, Screening, Female, Ireland, 030217 neurology & neurosurgery
Abstract

Background Over 100 genes have been implicated in the aetiology of amyotrophic lateral sclerosis (ALS). A detailed understanding of their independent and cumulative contributions to disease burden may help guide various clinical and research efforts. Methods Using targeted high-throughput sequencing, we characterised the variation of 10 Mendelian and 23 low penetrance/tentative ALS genes within a population-based cohort of 444 Irish ALS cases (50 fALS, 394 sALS) and 311 age-matched and geographically matched controls. Results Known or potential high-penetrance ALS variants were identified within 17.1% of patients (38% of fALS, 14.5% of sALS). 12.8% carried variants of Mendelian disease genes (C9orf72 8.78%; SETX 2.48%; ALS2 1.58%; FUS 0.45%; TARDBP 0.45%; OPTN 0.23%; VCP 0.23%. ANG, SOD1, VAPB 0%), 4.7% carried variants of low penetrance/tentative ALS genes and 9.7% (30% of fALS, 7.1% of sALS) carried previously described ALS variants (C9orf72 8.78%; FUS 0.45%; TARDBP 0.45%). 1.6% of patients carried multiple known/potential disease variants, including all identified carriers of an established ALS variant (pA(p.[G287S]) (n=2/2 sALS). Comparison of our results with those from studies of other European populations revealed significant differences in the spectrum of disease variation (p=1.7×10−4). Conclusions Up to 17% of Irish ALS cases may carry high-penetrance variants within the investigated genes. However, the precise nature of genetic susceptibility differs significantly from that reported within other European populations. Certain variants may not cause disease in isolation and concomitant analysis of disease genes may prove highly important.

Published
2013

29. Development of strategies for SNP detection in RNA-seq data: application to lymphoblastoid cell lines and evaluation using 1000 Genomes data

Author

Aiden Corvin, Michael Gill, Richard Anney, Emma M. Quinn, Elaine Kenny, Matthew Hill, Derek W. Morris, and Paul Cormican

Subjects
Genotype, Sequence analysis, genetic processes, Gene Expression, lcsh:Medicine, Genomics, Biology, Molecular Inversion Probe, Polymorphism, Single Nucleotide, Sensitivity and Specificity, Transcriptomes, Cell Line, Molecular Genetics, 03 medical and health sciences, 0302 clinical medicine, Genetic Mutation, Genome Analysis Tools, Genetics, Humans, Gene Regulation, natural sciences, Genome Sequencing, Lymphocytes, 1000 Genomes Project, International HapMap Project, lcsh:Science, 030304 developmental biology, Comparative genomics, 0303 health sciences, Multidisciplinary, Sequence Assembly Tools, Sequence Analysis, RNA, lcsh:R, Computational Biology, Exons, Tag SNP, R1, SNP genotyping, Mutation, Genetic Polymorphism, RNA, lcsh:Q, 030217 neurology & neurosurgery, Population Genetics, Research Article
Abstract

Next-generation RNA sequencing (RNA-seq) maps and analyzes transcriptomes and generates data on sequence variation in expressed genes. There are few reported studies on analysis strategies to maximize the yield of quality RNA-seq SNP data. We evaluated the performance of different SNP-calling methods following alignment to both genome and transcriptome by applying them to RNA-seq data from a HapMap lymphoblastoid cell line sample and comparing results with sequence variation data from 1000 Genomes. We determined that the best method to achieve high specificity and sensitivity, and greatest number of SNP calls, is to remove duplicate sequence reads after alignment to the genome and to call SNPs using SAMtools. The accuracy of SNP calls is dependent on sequence coverage available. In terms of specificity, 89% of RNA-seq SNPs calls were true variants where coverage is >10X. In terms of sensitivity, at >10X coverage 92% of all expected SNPs in expressed exons could be detected. Overall, the results indicate that RNA-seq SNP data are a very useful by-product of sequence-based transcriptome analysis. If RNA-seq is applied to disease tissue samples and assuming that genes carrying mutations relevant to disease biology are being expressed, a very high proportion of these mutations can be detected.

Published
2013

30. Global endometrial transcriptomic profiling: transient immune activation precedes tissue proliferation and repair in healthy beef cows

Author

John J. Callanan, Derek W. Morris, Paul Cormican, Fernando Narciandi, Kieran G. Meade, Cathriona Foley, Cliona O'Farrelly, Elaine Kenny, Aspinas Chapwanya, and Christopher J. Creevey

Subjects
Transcriptomic profile, Candidate gene, lcsh:QH426-470, lcsh:Biotechnology, Molecular Sequence Data, Cattle Diseases, Inflammation, postpartum immune response, Biology, Real-Time Polymerase Chain Reaction, Endometrium, Andrology, Transcriptome, Immune system, Next generation sequencing, lcsh:TP248.13-248.65, Genetics, medicine, Animals, Immune response, Uterine involution, DNA Primers, Base Sequence, medicine.diagnostic_test, Endometrial biopsy, Gene Expression Profiling, High-Throughput Nucleotide Sequencing, medicine.disease, Gene expression profiling, lcsh:Genetics, medicine.anatomical_structure, Gene Expression Regulation, Immunology, Cattle, Female, Gene expression, Endometritis, medicine.symptom, Signal Transduction, Research Article, Biotechnology
Abstract

Background All cows experience bacterial contamination and tissue injury in the uterus postpartum, instigating a local inflammatory immune response. However mechanisms that control inflammation and achieve a physiologically functioning endometrium, while avoiding disease in the postpartum cow are not succinctly defined. This study aimed to identify novel candidate genes indicative of inflammation resolution during involution in healthy beef cows. Previous histological analysis of the endometrium revealed elevated inflammation 15 days postpartum (DPP) which was significantly decreased by 30 DPP. The current study generated a genome-wide transcriptomic profile of endometrial biopsies from these cows at both time points using mRNA-Seq. The pathway analysis tool GoSeq identified KEGG pathways enriched by significantly differentially expressed genes at both time points. Novel candidate genes associated with inflammatory resolution were subsequently validated in additional postpartum animals using quantitative real-time PCR (qRT-PCR). Results mRNA-Seq revealed 1,107 significantly differentially expressed genes, 73 of which were increased 15 DPP and 1,034 were increased 30 DPP. Early postpartum, enriched immune pathways (adjusted P P SAA1/2, GATA2, IGF1, SHC2, and SERPINA14 genes were significantly elevated 30 DPP and are functionally associated with tissue repair and the restoration of uterine homeostasis postpartum. Conclusions The results of this study reveal an early activation of the immune response which undergoes a temporal functional change toward tissue proliferation and regeneration during endometrial involution in healthy postpartum cows. These molecular changes mirror the activation and resolution of endometrial inflammation during involution previously classified by the degree of neutrophil infiltration. SAA1/2, GATA2, IGF1, SHC2, and SERPINA14 genes may become potential markers for resolution of endometrial inflammation in the postpartum cow.

Published
2012
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31. Avian resistance to Campylobacter jejuni colonization is associated with an intestinal immunogene expression signature identified by mRNA sequencing

Author

Derek W. Morris, Paul Cormican, Daniel G. Bradley, Brenda Allan, Kieran G. Meade, Elaine Kenny, Cliona O'Farrelly, Sarah Connell, Andrew T. Lloyd, and Department of Agriculture, Food and the Marine

Subjects
B Cells, Gene Expression, lcsh:Medicine, Autoimmunity, Campylobacter Infections, Genetics of the Immune System, RNAseq analysis, Colonization, Genome Sequencing, lcsh:Science, Immune Response, education.field_of_study, Multidisciplinary, T Cells, Genomics, Animal Models, Chicken, Innate Immunity, Gastroenteritis, Functional Genomics, Intestines, Cytokines, Research Article, Avian resistance, Immune Cells, Population, Immunology, Immunoglobulins, Biology, Guillain-Barre Syndrome, Campylobacter jejuni, Antibodies, Immune Activation, Immune system, Model Organisms, Immunity, medicine, Genetics, Immune Tolerance, Animals, Humans, RNA, Messenger, Gene Networks, education, Immunity to Infections, Autoimmune disease, Inflammation, Innate immune system, lcsh:R, Immunoregulation, Immune Defense, Comparative Genomics, medicine.disease, biology.organism_classification, Immunity, Innate, MRNA Sequencing, Gene Expression Regulation, Immune System, lcsh:Q, Genome Expression Analysis, Chickens, Animal Genetics
Abstract

peer-reviewed This research was funded by the The Irish Department of Agriculture and Food’s Food Institutional Research Measure (http://www.agriculture.gov.ie/ research/foodinstitutionalresearchmeasurefirm) – Grant No: 06_RDD_486. Campylobacter jejuni is the most common cause of human bacterial gastroenteritis and is associated with several post-infectious manifestations, including onset of the autoimmune neuropathy Guillain-Barré syndrome, causing significant morbidity and mortality. Poorly-cooked chicken meat is the most frequent source of infection as C. jejuni colonizes the avian intestine in a commensal relationship. However, not all chickens are equally colonized and resistance seems to be genetically determined. We hypothesize that differences in immune response may contribute to variation in colonization levels between susceptible and resistant birds. Using high-throughput sequencing in an avian infection model, we investigate gene expression associated with resistance or susceptibility to colonization of the gastrointestinal tract with C. jejuni and find that gut related immune mechanisms are critical for regulating colonization. Amongst a single population of 300 4-week old chickens, there was clear segregation in levels of C. jejuni colonization 48 hours post-exposure. RNAseq analysis of caecal tissue from 14 C. jejuni-susceptible and 14 C. jejuni-resistant birds generated over 363 million short mRNA sequences which were investigated to identify 219 differentially expressed genes. Significantly higher expression of genes involved in the innate immune response, cytokine signaling, B cell and T cell activation and immunoglobulin production, as well as the renin-angiotensin system was observed in resistant birds, suggesting an early active immune response to C. jejuni. Lower expression of these genes in colonized birds suggests suppression or inhibition of a clearing immune response thus facilitating commensal colonization and generating vectors for zoonotic transmission. This study describes biological processes regulating C. jejuni colonization of the avian intestine and gives insight into the differential immune mechanisms incited in response to commensal bacteria in general within vertebrate populations. The results reported here illustrate how an exaggerated immune response may be elicited in a subset of the population, which alters host-microbe interactions and inhibits the commensal state, therefore having wider relevance with regard to inflammatory and autoimmune disease.

Published
2012

32. First implication of STRA6 mutations in isolated anophthalmia, microphthalmia and coloboma: a new dimension to the STRA6 phenotype

Author

Breandán N. Kennedy, Paul A. McGettigan, Jens Erik Nielsen, Andrew Green, Judith Conroy, Maria E Morrissey, Jillian P. Casey, Muireann Ni Chroinin, Peter Tormey, Riki Kawaguchi, Sean Ennis, Derek W. Morris, Paul Cormican, Regina Regan, Hui Sun, SallyAnn Lynch, and Elaine Kenny

Subjects
Adult, Male, Adolescent, Retinoic acid, Single-nucleotide polymorphism, Autosomal recessive colobomatous micro-anophthalmia, Consanguinity, Biology, Microphthalmia, Polymorphism, Single Nucleotide, Article, chemistry.chemical_compound, Young Adult, Homozygosity mapping, Genetics, medicine, Animals, Humans, Microphthalmos, Family, STRA6, Targeted next-generation sequencing, Genetics (clinical), Zebrafish, Coloboma, Anophthalmia, MWS, Homozygote, Anophthalmos, Chromosome Mapping, Infant, Membrane Proteins, medicine.disease, Disease gene identification, eye diseases, Pedigree, Mutation analysis, Phenotype, chemistry, Child, Preschool, Mutation, Matthew-Wood syndrome, Female, Matthew Wood syndrome, Ireland
Abstract

Microphthalmia, anophthalmia, and coloboma (MAC) are structural congenital eye malformations that cause a significant proportion of childhood visual impairments. Several disease genes have been identified but do not account for all MAC cases, suggesting that additional risk loci exist. We used single nucleotide polymorphism (SNP) homozygosity mapping (HM) and targeted next-generation sequencing to identify the causative mutation for autosomal recessive isolated colobomatous microanophthalmia (MCOPCB) in a consanguineous Irish Traveller family. We identified a double-nucleotide polymorphism (g.1157G>A and g.1156G>A; p.G304K) in STRA6 that was homozygous in all of the MCOPCB patients. The STRA6 p.G304K mutation was subsequently detected in additional MCOPCB patients, including one individual with Matthew-Wood syndrome (MWS; MCOPS9). STRA6 encodes a transmembrane receptor involved in vitamin A uptake, a process essential to eye development and growth. We have shown that the G304K mutant STRA6 protein is mislocalized and has severely reduced vitamin A uptake activity. Furthermore, we reproduced the MCOPCB phenotype in a zebrafish disease model by inhibiting retinoic acid (RA) synthesis, suggesting that diminished RA levels account for the eye malformations in STRA6 p.G304K patients. The current study demonstrates that STRA6 mutations can cause isolated eye malformations in addition to the congenital anomalies observed in MWS.

Published
2011

33. Non-Random Error in Genotype Calling Procedures: implications for family-based and case-control genome-wide association studies

Author

Elaine Kenny, Benjamin M. Neale, Derek W. Morris, Philip Asherson, Michael Gill, Jessica Lasky-Su, Richard Anney, Colm O'Dushlaine, Stephen V. Faraone, and Barbara Franke

Subjects
Genetic Markers, Parents, Linkage disequilibrium, Heterozygote, Genotype, Population, Gene Dosage, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, Linkage Disequilibrium, Cellular and Molecular Neuroscience, Bias, Statistics, Cluster Analysis, Humans, Computer Simulation, Family, Allele, Spurious relationship, education, Child, Genotyping, Genetics (clinical), Alleles, Oligonucleotide Array Sequence Analysis, Genetics, education.field_of_study, Chi-Square Distribution, Genome, Human, Haplotype, Homozygote, Missing data, Psychiatry and Mental health, Genetics, Population, Haplotypes, Case-Control Studies, Algorithms, Genome-Wide Association Study
Abstract

The considerable data-handling requirements for genome wide association studies (GWAS) prohibit individual calling of genotypes and create a reliance on sophisticated "genotype-calling algorithms." Despite their obvious utility, the current genotyping platforms and calling-algorithms used are not without their limitations. Specifically, some genotypes are not called due to the ambiguity of the data. Any bias in the missing data could create spurious results. Using data from the Genetic Analysis Information Network (GAIN) we observed that missing genotypes are not randomly distributed throughout the homozygous and heterozygous groups. Using simulation, we examined whether the level and type of missingness observed might influence deviation from the null-hypothesis under common case-control and family-based statistical approaches. Under a case-control model, where missingness is present in a case group but not the controls, we observed bias giving rise to genome-wide significant type-I error for missingness as low as 3%. The family-based association simulations show close to nominal type-I error at 4% genotype missingness. These findings have important implications to study design, quality-control procedures and reporting of findings in GWAS.

Published
2008

34. Rare chromosomal deletions and duplications increase risk of schizophrenia

Author

David St Clair, Frank A. Middleton, Peter M. Visscher, Kevin A. McGhee, John L. Waddington, Helena Medeiros, Joshua M. Korn, Vihra Milanova, Gillian Fraser, Stuart MacGregor, David Curtis, Nadine Norton, Nicholas Bass, Ivan Nikolov, Scott Mahon, Jennifer Stone, Kimberly Chambert, Casey Gates, Alan W Maclean, Christopher P. Morley, Margaret Van Beck, Ayman H. Fanous, James A. Knowles, Draga Toncheva, P. Malloy, Jacob Lawrence, Célia Barreto Carvalho, Shaun Purcell, Christina M. Hultman, George Kirov, Digby Quested, Soh Leh Kwan, Carlos N. Pato, Elaine Kenny, Hywel Williams, Vinay Puri, Aiden Corvin, Nicholas John Craddock, Michael Conlon O'Donovan, Nicholas Walker, Nigel Williams, Peter Holmans, Hugh Gurling, Colm O'Dushlaine, Mark J. Daly, Emma Flordal Thelander, Jonathan Pimm, David V. Conti, Michael Gill, Susmita Datta, Derek W. Morris, Douglas M. Ruderfer, Khalid Choudhury, Walter J. Muir, Stacey Gabriel, Ben S. Pickard, Kristen Ardlie, Srinivasa Thirumalai, Michael John Owen, Edward M. Scolnick, Caroline Crombie, Robert Krasucki, M. Helena Azevedo, Michele T. Pato, Steve McCarroll, António Macedo, Lucy Georgieva, Douglas Blackwood, Patrick F. Sullivan, Pamela Sklar, Paul Lichtenstein, Andrew McQuillin, Patrick Sullivan, and Carlos Ferreira

Subjects
Genetics, Multidisciplinary, biology, CHRNA7, Chromosome, Locus (genetics), Low copy repeats, Genome, Article, Psychiatric Disorder, Genetic, mental disorders, biology.protein, medicine, Schizophrenia, Apathy, Copy-number variation, medicine.symptom, Comparative genomic hybridization
Abstract

Schizophrenia is a severe mental disorder marked by hallucinations, delusions, cognitive deficits and apathy, with a heritability estimated at 73–90% (ref. 1). Inheritance patterns are complex, and the number and type of genetic variants involved are not understood. Copy number variants (CNVs) have been identified in individual patients with schizophrenia and also in neurodevelopmental disorders, but large-scale genome-wide surveys have not been performed. Here we report a genome-wide survey of rare CNVs in 3,391 patients with schizophrenia and 3,181 ancestrally matched controls, using high-density microarrays. For CNVs that were observed in less than 1% of the sample and were more than 100 kilobases in length, the total burden is increased 1.15-fold in patients with schizophrenia in comparison with controls. This effect was more pronounced for rarer, single-occurrence CNVs and for those that involved genes as opposed to those that did not. As expected, deletions were found within the region critical for velo-cardio-facial syndrome, which includes psychotic symptoms in 30% of patients (12). Associations with schizophrenia were also found for large deletions on chromosome 15q13.3 and 1q21.1. These associations have not previously been reported, and they remained significant after genome-wide correction. Our results provide strong support for a model of schizophrenia pathogenesis that includes the effects of multiple rare structural variants, both genome-wide and at specific loci. info:eu-repo/semantics/publishedVersion

Published
2008

35. Feasibility and relevance of global expression profiling of gene transcripts in serum from breast cancer patients using whole genome microarrays and quantitative RT-PCR

Author

Lorraine, O'Driscoll, Elaine, Kenny, Jai Prakash, Mehta, Padraig, Doolan, Helena, Joyce, Patrick, Gammell, Arnold, Hill, Brendan, O'Daly, Donal, O'Gorman, and Martin, Clynes

Subjects
Adult, Aged, 80 and over, Genome, Human, Reverse Transcriptase Polymerase Chain Reaction, Gene Expression Profiling, Reproducibility of Results, Breast Neoplasms, DNA, Neoplasm, Middle Aged, Gene Expression Regulation, Neoplastic, Cluster Analysis, Feasibility Studies, Humans, Female, RNA, Messenger, RNA, Neoplasm, Aged, Genes, Neoplasm, Oligonucleotide Array Sequence Analysis
Abstract

Previous studies, by ourselves and others, have indicated that gene transcripts are detectable extracellularly. Advancing on this work, in order to investigate the feasibility of analysing global gene expression profiles and so the possibility in the future of identifying panels of circulating mRNA biomarkers that may be diagnostic, prognostic or predictive for cancer, here we performed the first whole genome microarray analysis of human serum.RNA was isolated from pre-surgery serum and corresponding breast tumour and normal tissue biopsies, and from post-surgery and normal control serum. Specimens were examined using Affymetrix whole genome microarrays and quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR).Of the 54,675 mRNAs/variants analysed, approximately 8% and 45% were called Present in serum and breast tissue specimens, respectively. Differentially expressed genes were identified for each group of specimens analysed. Analysis, by qRT-PCR, of 3 selected transcripts further indicated that the nucleic acids detected were mRNA, not DNA. mRNAs are apparently present in serum and their global detection and identification can be successfully achieved using microarray technologies.The potential implication of this novel finding is that using microarrays it may be possible to identify a panel of extracellular mRNAs that are diagnostic, prognostic and/or predictive of outcome for cancer patients.

Published
2008

36. Conduct disorder and ADHD: evaluation of conduct problems as a categorical and quantitative trait in the international multicentre ADHD genetics study

Author

Herbert Roeyers, Colm O'Dushlaine, Edmund J.S. Sonuga-Barke, Richard P. Ebstein, Ana Miranda, Aribert Rothenberger, Philip Asherson, Jessica Lasky-Su, Tobias Banaschewski, Stephen V. Faraone, Wai Chen, Fernando Mulas, Aisling Mulligan, Joseph A. Sergeant, Jan K. Buitelaar, Barbara Franke, Elaine Kenny, Benjamin M. Neale, Robert D. Oades, Kaixin Zhou, H. C. Steinhausen, Richard Anney, Michael Gill, Hanna Christiansen, Alejandro Arias-Vásquez, and University of Zurich

Subjects
Genetics and epigenetic pathways of disease [NCMLS 6], 2804 Cellular and Molecular Neuroscience, Medizin, Poison control, Comorbidity, Neuroinformatics [DCN 3], Linkage Disequilibrium, Cohort Studies, 2738 Psychiatry and Mental Health, 0302 clinical medicine, Perception and Action [DCN 1], Genetics(clinical), Child, Genetics (clinical), Oligonucleotide Array Sequence Analysis, 0303 health sciences, Antisocial Personality Disorder, 10058 Department of Child and Adolescent Psychiatry, 3. Good health, Pedigree, Europe, Psychiatry and Mental health, Conduct disorder, Attention Deficit and Disruptive Behavior Disorders, ADHD -- conduct disorder -- genome wide association study -- genetic association information network, medicine.symptom, Psychology, Functional Neurogenomics [DCN 2], Anxiety disorder, Algorithms, Clinical psychology, Conduct Disorder, Genetic Markers, 2716 Genetics (clinical), Quantitative Trait Loci, Context (language use), 610 Medicine & health, Child Behavior Disorders, Impulsivity, Polymorphism, Single Nucleotide, Mental health [NCEBP 9], behavioral disciplines and activities, Genomic disorders and inherited multi-system disorders [IGMD 3], 03 medical and health sciences, Cellular and Molecular Neuroscience, Cognitive neurosciences [UMCN 3.2], mental disorders, medicine, Pervasive developmental disorder, Humans, ddc:610, Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, 030304 developmental biology, Psychiatric Status Rating Scales, Genome, Human, Antisocial personality disorder, medicine.disease, Genetic defects of metabolism [UMCN 5.1], Attention Deficit Disorder with Hyperactivity, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Contains fulltext : 71374.pdf (Publisher’s version ) (Closed access) Attention-deficit/hyperactivity disorder (ADHD) is typically characterized by inattention, excessive motor activity, impulsivity, and distractibility. Individuals with ADHD have significant impairment in family and peer relations, academic functioning, and show high co-morbidity with a wide range of psychiatric disorders including oppositional defiant disorder (ODD), conduct disorder (CD), anxiety disorder, depression, substance abuse, and pervasive developmental disorder (PDD). Family studies suggest that ADHD + CD represents a specific subtype of the ADHD disorder with familial risk factors only partly overlapping with those of ADHD alone. We performed a hypothesis-free analysis of the GAIN-ADHD sample to identify markers and genes important in the development of conduct problems in a European cohort of individuals with ADHD. Using the Family-Based Association Test (FBAT) package we examined three measures of conduct problems in 1,043,963 autosomal markers. This study is part of a series of exploratory analyses to identify candidate genes that may be important in ADHD and ADHD-related traits, such as conduct problems. We did not find genome-wide statistical significance (P < 5 x 10(-7)) for any of the tested markers and the three conduct problem traits. Fifty-four markers reached strong GWA signals (P < 10(-5)). We discuss these findings in the context of putative candidate genes and the implications of these findings in the understanding of the etiology of ADHD + CD. We aimed to achieve insight into the genetic etiology of a trait using a hypothesis-free study design and were able to identify a number of biologically interesting markers and genes for follow-up studies.

Published
2008
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37. Detection of Specific mRNAs in Culture Medium Conditioned by Human Tumour Cells: Potential for New Class of Cancer Biomarkers in Serum

Author

Lorraine, O'Driscoll, Elaine, Kenny, Maider Perez, DE Villarreal, and Martin, Clynes

Abstract

This study aimed to develop and optimise procedures to enable us to establish, in a well-controlled environment, if cancer cells routinely secrete gene transcripts potentially suitable for monitoring as biomarkers.Aliquots of the conditioned media (CM) exposed to cancer cells (including breast, lung and nasal cancer cell lines) were removed at intervals of 24 hours over a 96-hour time period and were passed through 0.45 μm or 0.22 μm filters, to remove cellular material. Methods for subsequent RNA extraction (from CM and cells) were investigated. RT-PCR was performed for a number of mRNAs, including mdr-1, mrp-1, CK-19, HnRNP B1, GST-π, topoisomerase II, bcl-2 and β-actin.Gene transcripts, amplifiable by RT-PCR, were detected in conditioned media from all human cancer cell lines studied. This RNA did not result from the presence of cells in the conditioned media and, as expected, was absent from control medium not exposed to tumour cells.The results from this study indicate that gene transcripts may be secreted from human cancer cells and are detectable in the subsequent cell-free media. The methods developed and optimised here may be suitable for analysis of mRNAs as biomarkers in serum/plasma from cancer patients.

Published
2004

39. Genetic variants in XRRC5 may predict development of venous thrombotic events in myeloma patients on thalidomide

Author

Anthony Staines, Stephen J. Chanock, Paul Browne, Mark Lawler, Elaine Kenny, and Prerna Tewari

Subjects
DNA repair, business.industry, Immunology, Genetic variants, Cell Biology, Hematology, medicine.disease, Bioinformatics, Biochemistry, Thalidomide, medicine, Thrombus, business, Multiple myeloma, medicine.drug
Abstract

To the editor: We read with great interest the recent findings by Johnson et al indicating that genetic variants in DNA repair genes, in particular XRCC5 , may play a crucial role in identifying myeloma patients on thalidomide treatment who are at high risk of acquiring treatment-related venous

Published
2009
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40. Drug metabolism-related genes as potential biomarkers: analysis of expression in normal and tumour breast tissue.

Author

Vanesa Martinez, Susan Kennedy, Padraig Doolan, Patrick Gammell, Helena Joyce, Elaine Kenny, Jai Prakash Mehta, Eoin Ryan, Robert O’Connor, Martin Clynes, and Lorraine O’Driscoll

Subjects
DRUG metabolism, BIOMARKERS, GENE expression, BREAST tumors, TUMOR growth, CARCINOGENS, CANCER cells
Abstract

Abstract  The complex role of drug metabolism-related enzymes and their possible influence in cancer development, treatment and outcome has not yet been completely elucidated. There is evidence that these enzymes can activate certain environmental procarcinogens to more toxic derivatives and thus a role has been proposed for them in carcinogenesis. The fact that they can also inactivate a number of chemotherapeutic drugs has raised the possibility of these enzymes influencing the sensitivity of tumour cells to anticancer agents. In this report, we analyse the expression of drug metabolism-related genes within a whole genome microarray study of 104 breast cancer and 17 normal breast specimens. Kaplan–Meier survival curves, Chi-squared, and Cox Regression analyses were used to identify associations between expression of gene transcripts and patients’ clinicopathological and survival data. Our results show that several of these genes are significantly expressed in both normal and tumour tissue; in many cases, expression is altered in the tumour specimens as compared to normal breast tissue. Moreover, expression of ARNT2 and GST A1 was correlated with prognosis. Kaplan–Meier analysis showed expression of ARNT2 mRNA to correlate significantly with favourable disease outcome for patients, in terms of both their disease-free survival (P = 0.0094) and overall survival (P = 0.0018) times from diagnosis, while detection of GST A1 mRNA correlated with shortened disease-free survival (P = 0.0131) and overall survival (P = 0.0028). Multivariate analysis indicated GST A1 expression to be an independent prognostic factor for overall survival (P = 0.045). Our results suggest a possible use of ARNT2 and GST A1 as prognostic breast cancer biomarkers. [ABSTRACT FROM AUTHOR]

Published
2008
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41. Transcriptome analysis of the mouse E14.5 (TS23) developing humerus and differential expression in muscle-less mutant embryos lacking mechanical stimulation

Author

Paul Cormican, Elaine Kenny, Rebecca A. Rolfe, and Paula Murphy

Subjects
Microarray, lcsh:QH426-470, Mutant, Skeletal development, Biology, Biochemistry, Transcriptome, Gene expression, Data in Brief, Genetics, medicine, Mechanotransduction, Gene, Mechanical stimulation, Embryo, Humerus, Cell biology, TS23, lcsh:Genetics, medicine.anatomical_structure, Molecular Medicine, Forelimb, Biotechnology
Abstract

Mechanical stimulation is important for the correct formation of the skeleton. Splotch-delayed mutant embryos (Pax3Spd/Spd) that develop with no limb muscle and therefore no limb movement experience an altered mechanical environment resulting in specific defects in ossification and joint formation, particularly in the forelimb. To test the hypothesis that mechanical stimuli influence the regulation of genes important in skeletal development we generated a transcriptome profile of the developing humerus at Theiler stage 23 (TS23), and then identified differentially expressed genes in muscle-less mutant embryos compared to control littermates. Here we describe the experimental methods and analysis of the resulting data, publically available in the ArrayExpress database under E-MTAB-1745 (Transcriptome of control humerus), E-MTAB-1744 (Microarray; differential expression) and E-MTAB-1746 (RNA-sequencing; differential expression). Our data provide a resource for exploring the transcriptome that underlies skeletal development at TS23 in the mouse humerus. The interpretation and description of this data can be found in a recent publication in BMC Genomics [1]. This is a resource for exploring the molecular mechanisms that are involved in skeletal development and mechanotransduction.

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