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1. Predicting Outcomes Following Cognitive Behaviour Therapy in Child Anxiety Disorders: The Influence of Genetic, Demographic and Clinical Information

Author

Hudson, Jennifer L., Lester, Kathryn J., and Lewis, Cathryn M.

Abstract

Background: Within a therapeutic gene by environment (G × E) framework, we recently demonstrated that variation in the Serotonin Transporter Promoter Polymorphism; "5HTTLPR" and marker rs6330 in Nerve Growth Factor gene; "NGF" is associated with poorer outcomes following cognitive behaviour therapy (CBT) for child anxiety disorders. The aim of this study was to explore one potential means of extending the translational reach of G × E data in a way that may be clinically informative. We describe a "risk-index" approach combining genetic, demographic and clinical data and test its ability to predict diagnostic outcome following CBT in anxious children. Method: DNA and clinical data were collected from 384 children with a primary anxiety disorder undergoing CBT. We tested our risk model in five cross-validation training sets. Results: In predicting treatment outcome, six variables had a minimum mean beta value of 0.5:"5HTTLPR," "NGF" rs6330, gender, primary anxiety severity, comorbid mood disorder and comorbid externalising disorder. A risk index (range 0-8) constructed from these variables had moderate a predictive ability (AUC = 0.62-0.69) in this study. Children scoring high on this index (5-8) were approximately three times as likely to retain their primary anxiety disorder at follow-up as compared with those children scoring 2 or less. Conclusion: Significant genetic, demographic and clinical predictors of outcome following CBT for anxiety-disordered children were identified. Combining these predictors within a risk index could be used to identify which children are less likely to be diagnosis-free following CBT alone and require longer or enhanced treatment. The "risk-index" approach represents one means of harnessing the translational potential of G × E data.

Published
2013
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2. Genetic copy number variants, cognition and psychosis: a meta-analysis and a family study

Author

Thygesen, Johan H, Presman, Amelia, Harju-Seppänen, Jasmine, Irizar, Haritz, Jones, Rebecca, Kuchenbaecker, Karoline, Lin, Kuang, Alizadeh, Behrooz Z, Austin-Zimmerman, Isabelle, Bartels-Velthuis, Agna, Bhat, Anjali, Bruggeman, Richard, Cahn, Wiepke, Calafato, Stella, Crespo-Facorro, Benedicto, de Haan, Liewe, de Zwarte, Sonja MC, Di Forti, Marta, Díez-Revuelta, Álvaro, Hall, Jeremy, Hall, Mei-Hua, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene, Kalaydjieva, Luba, Kravariti, Eugenia, Lawrie, Stephen, Luykx, Jurjen J, Mata, Igancio, McDonald, Colm, McIntosh, Andrew M, McQuillin, Andrew, Muir, Rebecca, Ophoff, Roel, Picchioni, Marco, Prata, Diana P, Ranlund, Siri, Rujescu, Dan, Rutten, Bart PF, Schulze, Katja, Shaikh, Madiha, Schirmbeck, Frederike, Simons, Claudia JP, Toulopoulou, Timothea, van Amelsvoort, Therese, van Haren, Neeltje, van Os, Jim, van Winkel, Ruud, Vassos, Evangelos, Walshe, Muriel, Weisbrod, Matthias, Zartaloudi, Eirini, Bell, Vaughan, Powell, John, Lewis, Cathryn M, Murray, Robin M, and Bramon, Elvira

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Human Genome, Clinical Research, Brain Disorders, Serious Mental Illness, Schizophrenia, Neurosciences, Genetics, Prevention, Mental Health, 2.1 Biological and endogenous factors, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Cognition, DNA Copy Number Variations, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Psychotic Disorders, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

The burden of large and rare copy number genetic variants (CNVs) as well as certain specific CNVs increase the risk of developing schizophrenia. Several cognitive measures are purported schizophrenia endophenotypes and may represent an intermediate point between genetics and the illness. This paper investigates the influence of CNVs on cognition. We conducted a systematic review and meta-analysis of the literature exploring the effect of CNV burden on general intelligence. We included ten primary studies with a total of 18,847 participants and found no evidence of association. In a new psychosis family study, we investigated the effects of CNVs on specific cognitive abilities. We examined the burden of large and rare CNVs (>200 kb,

Published
2021

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

Author

Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David A, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen V, Kahn, René S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Lin, Kuang, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew M, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Powell, John, Rujescu, Dan, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin NA, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris CA, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Giannoulatou, Eleni, Hellenthal, Garrett, Pearson, Richard, Pirinen, Matti, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Edkins, Sarah, Gillman, Matthew, Gray, Emma, Gwilliam, Rhian, Hammond, Naomi, Hunt, Sarah E, Jayakumar, Alagurevathi, Liddle, Jennifer, McCann, Owen T, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew, Weston, Paul, Whittaker, Pamela, Widaa, Sara, and McCarthy, Mark I

Subjects
Autoimmune Disease, Schizophrenia, Mental Health, Lupus, Genetics, Brain Disorders, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Adult, Alleles, Complement C3, Complement C4, Female, Genetic Predisposition to Disease, HLA Antigens, Haplotypes, Humans, Lupus Erythematosus, Systemic, Major Histocompatibility Complex, Male, Middle Aged, Sex Characteristics, Sjogren's Syndrome, Young Adult, Schizophrenia Working Group of the Psychiatric Genomics Consortium, General Science & Technology
Abstract

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

Published
2020

4. Genome‐wide survey of copy number variants finds MAPT duplications in progressive supranuclear palsy

Author

Chen, Zhongbo, Chen, Jason A, Shatunov, Aleksey, Jones, Ashley R, Kravitz, Stephanie N, Huang, Alden Y, Lawrence, Lauren, Lowe, Jennifer K, Lewis, Cathryn M, Payan, Christine AM, Lieb, Wolfgang, Franke, Andre, Deloukas, Panagiotis, Amouyel, Philippe, Tzourio, Christophe, Dartigues, Jean‐François, Groups, NNIPPS and BBBIPPS Study, Ludolph, Albert, Bensimon, Gilbert, Leigh, P Nigel, Bronstein, Jeff M, Coppola, Giovanni, Geschwind, Daniel H, and Al‐Chalabi, Ammar

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Prevention, Clinical Research, Neurodegenerative, Genetics, Brain Disorders, Rare Diseases, Genetic Testing, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Neurological, Adult, Age of Onset, Aged, Aged, 80 and over, DNA Copy Number Variations, Female, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Supranuclear Palsy, Progressive, tau Proteins, copy number variation, genome-wide association study, progressive supranuclear palsy, NNIPPS and BBBIPPS Study Groups, Human Movement and Sports Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

BackgroundProgressive supranuclear palsy is a neurodegenerative tauopathy manifesting clinically as a progressive akinetic-rigid syndrome. In this study, we sought to identify genetic variants influencing PSP susceptibility through a genome-wide association analysis of a cohort of well-characterized patients who had participated in the Neuroprotection and Natural History in Parkinson Plus Syndromes and Blood Brain Barrier in Parkinson Plus Syndromes studies.MethodsWe genotyped single-nucleotide polymorphisms in 283 PSP cases from the United Kingdom, Germany, and France and compared these with genotypes from 4472 controls. Copy number variants were identified from genotyping data.ResultsWe observed associations on chromosome 17 within or close to the MAPT gene and explored the genetic architecture at this locus. We confirmed the previously reported association of rs1768208 in the MOBP gene (P = 3.29 × 10-13 ) and rs1411478 in STX6 (P = 3.45 × 10-10 ). The population-attributable risk from the MAPT, MOBP, and STX6 single-nucleotide polymorphisms was found to be 0.37, 0.26, and 0.08, respectively. In addition, we found 2 instances of copy number variants spanning the MAPT gene in patients with PSP. These copy number variants include tau but few other genes within the chromosome 17 haplotype region, providing additional support for the direct pathogenicity of MAPT in PSP.ConclusionsClinicians should also be aware of MAPT duplication as a possible genetic cause of PSP, especially in patients presenting with young age at onset. © 2019 International Parkinson and Movement Disorder Society.

Published
2019

5. Joint genome-wide association study of progressive supranuclear palsy identifies novel susceptibility loci and genetic correlation to neurodegenerative diseases.

Author

Chen, Jason A, Chen, Zhongbo, Won, Hyejung, Huang, Alden Y, Lowe, Jennifer K, Wojta, Kevin, Yokoyama, Jennifer S, Bensimon, Gilbert, Leigh, P Nigel, Payan, Christine, Shatunov, Aleksey, Jones, Ashley R, Lewis, Cathryn M, Deloukas, Panagiotis, Amouyel, Philippe, Tzourio, Christophe, Dartigues, Jean-Francois, Ludolph, Albert, Boxer, Adam L, Bronstein, Jeff M, Al-Chalabi, Ammar, Geschwind, Daniel H, and Coppola, Giovanni

Subjects
Humans, Supranuclear Palsy, Progressive, Neurodegenerative Diseases, Genetic Predisposition to Disease, Genotype, Polymorphism, Single Nucleotide, Female, Male, Genome-Wide Association Study, Genome-wide association study, Neurodegeneration, Progressive supranuclear palsy, Supranuclear Palsy, Progressive, Polymorphism, Single Nucleotide, Prevention, Clinical Trials and Supportive Activities, Neurodegenerative, Rare Diseases, Genetics, Human Genome, Clinical Research, 2.1 Biological and endogenous factors, Neurological, Clinical Sciences, Neurosciences, Neurology & Neurosurgery
Abstract

BackgroundProgressive supranuclear palsy (PSP) is a rare neurodegenerative disease for which the genetic contribution is incompletely understood.MethodsWe conducted a joint analysis of 5,523,934 imputed SNPs in two newly-genotyped progressive supranuclear palsy cohorts, primarily derived from two clinical trials (Allon davunetide and NNIPPS riluzole trials in PSP) and a previously published genome-wide association study (GWAS), in total comprising 1646 cases and 10,662 controls of European ancestry.ResultsWe identified 5 associated loci at a genome-wide significance threshold P

Published
2018

6. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

Author

Malik, Rainer, Chauhan, Ganesh, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Mishra, Aniket, Rutten-Jacobs, Loes, Giese, Anne-Katrin, van der Laan, Sander W, Gretarsdottir, Solveig, Anderson, Christopher D, Chong, Michael, Adams, Hieab HH, Ago, Tetsuro, Almgren, Peter, Amouyel, Philippe, Ay, Hakan, Bartz, Traci M, Benavente, Oscar R, Bevan, Steve, Boncoraglio, Giorgio B, Brown, Robert D, Butterworth, Adam S, Carrera, Caty, Carty, Cara L, Chasman, Daniel I, Chen, Wei-Min, Cole, John W, Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul IW, DeStefano, Anita L, den Hoed, Marcel, Duan, Qing, Engelter, Stefan T, Falcone, Guido J, Gottesman, Rebecca F, Grewal, Raji P, Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeffrey, Harris, Tamara B, Hassan, Ahamad, Havulinna, Aki S, Heckbert, Susan R, Holliday, Elizabeth G, Howard, George, Hsu, Fang-Chi, Hyacinth, Hyacinth I, Ikram, M Arfan, Ingelsson, Erik, Irvin, Marguerite R, Jian, Xueqiu, Jiménez-Conde, Jordi, Johnson, Julie A, Jukema, J Wouter, Kanai, Masahiro, Keene, Keith L, Kissela, Brett M, Kleindorfer, Dawn O, Kooperberg, Charles, Kubo, Michiaki, Lange, Leslie A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Jin-Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M, Lin, Wei-Yu, Lindgren, Arne G, Lorentzen, Erik, Magnusson, Patrik K, Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F, Meschia, James F, Mitchell, Braxton D, Mosley, Thomas H, Nalls, Michael A, Ninomiya, Toshiharu, O’Donnell, Martin J, Psaty, Bruce M, Pulit, Sara L, Rannikmäe, Kristiina, Reiner, Alexander P, Rexrode, Kathryn M, Rice, Kenneth, Rich, Stephen S, Ridker, Paul M, Rost, Natalia S, Rothwell, Peter M, Rotter, Jerome I, Rundek, Tatjana, Sacco, Ralph L, Sakaue, Saori, and Sale, Michele M

Subjects
Biological Sciences, Genetics, Human Genome, Stroke, Clinical Research, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Computational Biology, Databases, Genetic, Epigenesis, Genetic, Female, Gene Regulatory Networks, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, INDEL Mutation, Linkage Disequilibrium, Male, Models, Genetic, Polymorphism, Single Nucleotide, Risk Factors, AFGen Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, International Genomics of Blood Pressure (iGEN-BP) Consortium, INVENT Consortium, STARNET, BioBank Japan Cooperative Hospital Group, COMPASS Consortium, EPIC-CVD Consortium, EPIC-InterAct Consortium, International Stroke Genetics Consortium, METASTROKE Consortium, Neurology Working Group of the CHARGE Consortium, NINDS Stroke Genetics Network, UK Young Lacunar DNA Study, MEGASTROKE Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy.

Published
2018

8. A genome-wide association study of a sustained pattern of antidepressant response

Author

Hunter, Aimee M, Leuchter, Andrew F, Power, Robert A, Muthén, Bengt, McGrath, Patrick J, Lewis, Cathryn M, Cook, Ian A, Garriock, Holly A, McGuffin, Peter, Uher, Rudolf, and Hamilton, Steven P

Subjects
Brain Disorders, Clinical Trials and Supportive Activities, Human Genome, Clinical Research, Genetics, Mental Health, Prevention, Depression, Aetiology, 2.1 Biological and endogenous factors, Mental health, Antidepressive Agents, Clinical Trials as Topic, Confidence Intervals, Depressive Disorder, Major, Genome-Wide Association Study, Genotype, Humans, Odds Ratio, Pharmacogenetics, Polymorphism, Single Nucleotide, Antidepressant, STAR*D, GENDEP, Growth mixture modeling, Citalopram, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Genome-wide association studies (GWAS) have failed to replicate common genetic variants associated with antidepressant response, as defined using a single endpoint. Genetic influences may be discernible by examining individual variation between sustained versus unsustained patterns of response, which may distinguish medication effects from non-specific, or placebo responses to active medication. We conducted a GWAS among 1116 subjects with Major Depressive Disorder from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial who were characterized using Growth Mixture Modeling as showing a sustained versus unsustained pattern of clinical response over 12 weeks of treatment with citalopram. Replication analyses examined 585 subjects from the Genome-based Therapeutic Drugs for Depression (GENDEP) trial. The strongest association with sustained as opposed to unsustained response in STAR*D involved a single nucleotide polymorphism (SNP; rs10492002) within the acyl-CoA synthetase short-chain family member 3 gene (ACSS3, p-value=4.5×10(-6), odds ratio=0.61). No SNPs met our threshold for genome-wide significance. SNP data were available in GENDEP for 18 of the top 25 SNPs in STAR*D. The most replicable association was with SNP rs7816924 (p=0.008, OR=1.58); no SNP met the replication p-value threshold of 0.003. Joint analysis of these 18 SNPs resulted in the strongest signal coming from rs7816924 (p=2.11×10(-7)), which resides in chondroitin sulfate N-acetylgalactosaminyltransferase 1 gene (CSGALNACT1). An exploratory genetic pathway analysis revealed evidence for an involvement of the KEGG pathway of long-term potentiation (FDR=.02). Results suggest novel genetic associations to sustained response.

Published
2013

10. Stratifying early‐onset emotional disorders: using genetics to assess persistence in young people of European and South Asian ancestry.

Author

Dennison, Charlotte A., Martin, Joanna, Shakeshaft, Amy, Riglin, Lucy, Rice, Frances, Lewis, Cathryn M., O'Donovan, Michael C., and Thapar, Anita

Subjects
GENETICS, EUROPEANS, SOUTH Asians, DISEASE relapse, RISK assessment, SOCIOECONOMIC factors, ATTENTION-deficit hyperactivity disorder, AFFECTIVE disorders, AGE factors in disease, QUESTIONNAIRES, DESCRIPTIVE statistics, CHILD psychopathology, MENTAL depression, AUTISM, ANXIETY, EARLY diagnosis, COMORBIDITY, EDUCATIONAL attainment, DISEASE risk factors, PSYCHOSOCIAL factors, CHILDREN, ADULTS, ADOLESCENCE
Abstract

Background: Depression and anxiety are the most common mental health problems in young people. Currently, clinicians are advised to wait before initiating treatment for young people with these disorders as many spontaneously remit. However, others develop recurrent disorder but this subgroup cannot be identified at the outset. We examined whether psychiatric polygenic scores (PGS) could help inform stratification efforts to predict those at higher risk of recurrence. Methods: Probable emotional disorder was examined in two UK population cohorts using the emotional symptoms subscale of the Strengths and Difficulties Questionnaire (SDQ). Those with emotional disorder at two or more time points between ages 5 and 25 years were classed as 'recurrent emotional disorder' (n = 1,643) and those with emotional disorder at one time point as having 'single episode emotional disorder' (n = 1,435, controls n = 8,715). We first examined the relationship between psychiatric PGS and emotional disorders in childhood and adolescence. Second, we tested whether psychiatric PGS added to predictor variables of known association with emotional disorder (neurodevelopmental comorbidity, special educational needs, family history of depression and socioeconomic status) when discriminating between single‐episode and recurrent emotional disorder. Analyses were conducted separately in individuals of European and South Asian ancestry. Results: Probable emotional disorder was associated with higher PGS for major depressive disorder (MDD), anxiety, broad depression, ADHD and autism spectrum disorder (ASD) in those of European ancestry. Higher MDD and broad depression PGS were associated with emotional disorder in people of South Asian ancestry. Recurrent, compared to single‐episode, emotional disorder was associated with ASD and parental psychiatric history. PGS were not associated with episode recurrence, and PGS did not improve discrimination of recurrence when combined with clinical predictors. Conclusions: Our findings do not support the use of PGS as a tool to assess the likelihood of recurrence in young people experiencing their first episode of emotional disorder. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Meta-analysis of genome scans of age-related macular degeneration

Author

Fisher, Sheila A, Abecasis, Goncalo R, Yashar, Beverly M, Zareparsi, Sepideh, Swaroop, Anand, Iyengar, Sudha K, Klein, Barbara EK, Klein, Ronald, Lee, Kristine E, Majewski, Jacek, Schultz, Dennis W, Klein, Michael L, Seddon, Johanna M, Santangelo, Susan L, Weeks, Daniel E, Conley, Yvette P, Mah, Tammy S, Schmidt, Silke, Haines, Jonathan L, Pericak-Vance, Margaret A, Gorin, Michael B, Schulz, Heidi L, Pardi, Fabio, Lewis, Cathryn M, and Weber, Bernhard HF

Subjects
Biological Sciences, Genetics, Macular Degeneration, Human Genome, Neurodegenerative, Aging, Genetic Linkage, Genetic Predisposition to Disease, Genome, Human, Humans, Medical and Health Sciences, Genetics & Heredity
Abstract

A genetic contribution to the development of age-related macular degeneration (AMD) is well established. Several genome-wide linkage studies have identified a number of putative susceptibility loci for AMD but only a few of these regions have been replicated in independent studies. Here, we perform a meta-analysis of six AMD genome screens using the genome-scan meta-analysis method, which allows linkage results from several studies to be combined, providing greater power to identify regions that show only weak evidence for linkage in individual studies. Results from non-parametric analysis for a broad AMD clinical phenotype (including two studies with quantitative traits) were extracted. For each study, 120 genomic bins of approximately 30 cM were defined and ranked according to maximum evidence for linkage within each bin. Bin ranks were weighted according to study size and summed across all studies; the summed rank (SR) for each bin was assessed empirically for significance using permutation methods. A high SR indicates a region with consistent evidence for linkage across studies. The strongest evidence for an AMD susceptibility locus was found on chromosome 10q26 where genome-wide significant linkage was observed (P=0.00025). Several other regions met the empirical significance criteria for bins likely to contain linked loci including adjacent pairs of bins on chromosomes 1q, 2p, 3p and 16. Several of the regions identified here showed only weak evidence for linkage in the individual studies. These results will help prioritize regions for future positional and functional candidate gene studies in AMD.

Published
2005

12. Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis

Author

Grotzinger, Andrew D., Mallard, Travis T., Akingbuwa, Wonuola A., Ip, Hill F., Adams, Mark J., Lewis, Cathryn M., Mcintosh, Andrew M., Grove, Jakob, Dalsgaard, Søren, Lesch, Klaus-peter, Strom, Nora, Meier, Sandra M., Mattheisen, Manuel, Børglum, Anders D., Mors, Ole, Breen, Gerome, Lee, Phil H., Kendler, Kenneth S., Smoller, Jordan W., Tucker-drob, Elliot M., Nivard, Michel G., Psychiatrie & Neuropsychologie, RS: MHeNs - R3 - Neuroscience, Biological Psychology, APH - Mental Health, APH - Personalized Medicine, and APH - Methodology

Subjects
Mental Disorders/genetics, Genome, HERITABILITY, Mental Disorders, PSYCHOPATHOLOGY, Genomics, Polymorphism, Single Nucleotide/genetics, Polymorphism, Single Nucleotide, SDG 3 - Good Health and Well-being, Genetics, Humans, TOOL, WIDE ASSOCIATION, Genetic Predisposition to Disease, Molecular Biology, Genome-Wide Association Study
Abstract

We interrogate the joint genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis. We identify four broad factors (neurodevelopmental, compulsive, psychotic and internalizing) that underlie genetic correlations among the disorders and test whether these factors adequately explain their genetic correlations with biobehavioral traits. We introduce stratified genomic structural equation modeling, which we use to identify gene sets that disproportionately contribute to genetic risk sharing. This includes protein-truncating variant-intolerant genes expressed in excitatory and GABAergic brain cells that are enriched for genetic overlap across disorders with psychotic features. Multivariate association analyses detect 152 (20 new) independent loci that act on the individual factors and identify nine loci that act heterogeneously across disorders within a factor. Despite moderate-to-high genetic correlations across all 11 disorders, we find little utility of a single dimension of genetic risk across psychiatric disorders either at the level of biobehavioral correlates or at the level of individual variants.

Published
2022

14. Association of polygenic score for major depression with response to lithium in patients with bipolar disorder

Author

Amare, Azmeraw T., Schubert, Klaus Oliver, Hou, Liping, Clark, Scott R., Papiol, Sergi, Cearns, Micah, Heilbronner, Urs, Degenhardt, Franziska, Tekola-Ayele, Fasil, Hsu, Yi Hsiang, Shekhtman, Tatyana, Adli, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean Michel, Backlund, Lena, Bhattacharjee, Abesh Kumar, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna M., Birner, Armin, Brichant-Petitjean, Clara, Cervantes, Pablo, Chen, Hsi Chung, Chillotti, Caterina, Cichon, Sven, Cruceanu, Cristiana, Czerski, Piotr M., Dalkner, Nina, Dayer, Alexandre, Del Zompo, Maria, DePaulo, J. Raymond, Étain, Bruno, Jamain, Stephane, Falkai, Peter, Forstner, Andreas J., Frisen, Louise, Frye, Mark A., Fullerton, Janice M., Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Grof, Paul, Hashimoto, Ryota, Hauser, Joanna, Herms, Stefan, Hoffmann, Per, Hofmann, Andrea, Jiménez, Esther, Kahn, Jean Pierre, Kassem, Layla, Kuo, Po Hsiu, Kato, Tadafumi, Kelsoe, John R., Kittel-Schneider, Sarah, Kliwicki, Sebastian, König, Barbara, Kusumi, Ichiro, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Tortorella, Alfonso, Manchia, Mirko, Martinsson, Lina, McCarthy, Michael J., McElroy, Susan L., Colom, Francesc, Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Nöthen, Markus M., Novák, Tomas, O’Donovan, Claire, Ozaki, Norio, Ösby, Urban, Pfennig, Andrea, Potash, James B., Reif, Andreas, Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F.M., Bacanu, Silviu Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T.F., Bigdeli, Tim B., Binder, Elisabeth B., Blackwood, Douglas H.R., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane varregaard, Clarke, Toni Kim, Coleman, Jonathan R.I., Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Deary, Ian J., Derks, Eske M., Direk, Nese, Dolan, Conor V., Dunn, Erin C., Eley, Thalia C., Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Gordon, Scott D., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Hickie, Ian B., Homuth, Georg, Horn, Carsten, Hottenga, Jouke Jan, Hougaard, David M., Ising, Marcus, Jansen, Rick, Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Krogh, Jesper, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Montgomery, Grant W., Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O’Reilly, Paul F., Oskarsson, Hogni, Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E., Pettersson, Erik, Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C.B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T., Berger, Klaus, Boomsma, Dorret I., Dannlowski, Udo, de Geus, E. J.C., Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Kendler, Kenneth S., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela A.F., Magnusson, Patrik K., Martin, Nicholas G., McIntosh, Andrew M., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, O’Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Penninx, Brenda W.J.H., Perlis, Roy H., Porteous, David J., Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Lewis, Cathryn M., Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., Reininghaus, Eva, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schweizer, Barbara W., Severino, Giovanni, Shilling, Paul D., Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Maj, Mario, Turecki, Gustavo, Vieta, Eduard, Veeh, Julia, Wright, Adam, Zandi, Peter P., Mitchell, Philip B., Bauer, Michael, Alda, Martin, McMahon, Francis J., APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Reproduction & Development (AR&D), Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Human genetics, APH - Digital Health, APH - Methodology, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Jamain, Stéphane, University of Adelaide, South Australian Health and Medical Research Institute [ Adelaide] (SAHMRI), Mental Health Services [Adelaide, SA, Australia], National Institute of Mental Health (NIMH), Ludwig Maximilian University [Munich] (LMU), Georg-August-University = Georg-August-Universität Göttingen, Institut für Genetik - Universität Bonn / Institute of Genetics - University of Bonn, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Harvard Medical School [Boston] (HMS), Harvard School of Public Health, University of California [San Diego] (UC San Diego), University of California (UC), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Dokkyo Medical University, Università degli Studi di Cagliari = University of Cagliari (UniCa), Universitat Autònoma de Barcelona (UAB), Centro de Investigación Biomédica en Red de Salud Mental [Barcelona, Spain] (CIBERSAM), Hospital Sant Joan de Déu [Barcelona], Geneva University Hospital (HUG), Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona (UB), Karl-Franzens-Universität Graz, Mayo Clinic [Rochester], McGill University Health Center [Montreal] (MUHC), National Taiwan University [Taiwan] (NTU), University Hospital Basel [Basel], Poznan University of Medical Sciences [Poland] (PUMS), Johns Hopkins University (JHU), 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), Fondation FondaMental [Créteil], IMRB - 'Neuropsychiatrie translationnelle' [Créteil] (U955 Inserm - UPEC), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), University of Basel (Unibas), Neuroscience Research Australia [Sydney, NSW, Australia] (NRA), University of New South Wales [Sydney] (UNSW), Psychiatrie de l'enfant et de l'adolescent [CH C. Perrens, Bordeaux], SECOP - centre hospitalier Charles Perrens, Dalhousie University [Halifax], 'Prof. Dr. Alexandru Obregia' Clinical Hospital of Psychiatry [Bucharest, Romania], Mood Disorders Center of Ottawa (MDCO), University of Ottawa [Ottawa], Osaka University [Osaka], Graduate School of Medicine [Osaka], Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Psychiatrie et Psychologie Clinique de Liaison [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre Psychothérapique de Nancy (CPN), National Institutes of Health [Bethesda] (NIH), Environmental Molecular Biology Laboratory (RIKEN), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Goethe-University Frankfurt am Main, Landesklinikum Neunkirchen (LK Neunkirchen), Hokkaido University Graduate School of Medicine [Sapporo, Japan], Sahlgrenska Academy at University of Gothenburg [Göteborg], Research Service VA San Diego Healthcare System, Università degli Studi di Perugia = University of Perugia (UNIPG), University of Cincinnati (UC), IMIM-Hospital del Mar, Generalitat de Catalunya, Max Planck Institute of Experimental Medicine [Göttingen] (MPI), Max-Planck-Gesellschaft, University of Salerno (UNISA), University of the Study of Campania Luigi Vanvitelli, National Institute of Mental Health [Klecany, Czech Republic] (NIMH), Nagoya University Graduate School of Medicine [Japon], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Medical University Graz, Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada], Sigmund Freud University (SFU), Douglas Mental Health University Institute [Montréal], University of Heidelberg, Medical Faculty, Black Dog Institute [Sydney, Australia], Johns Hopkins Bloomberg School of Public Health [Baltimore], Westfälische Wilhelms-Universität Münster = University of Münster (WWU), Melbourne Medical School [Melbourne], Faculty of Medicine, Dentistry and Health Sciences [Melbourne], University of Melbourne-University of Melbourne, The Florey Institute of Neuroscience and Mental Health [Parkville, VIC, Australie], University of Melbourne, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium: Naomi R Wray, Stephan Ripke, Manuel Mattheisen, Maciej Trzaskowski, Enda M Byrne, Abdel Abdellaoui, Mark J Adams, Esben Agerbo, Tracy M Air, Till F M Andlauer, Silviu-Alin Bacanu, Marie Bækvad-Hansen, Aartjan T F Beekman, Tim B Bigdeli, Elisabeth B Binder, Douglas H R Blackwood, Julien Bryois, Henriette N Buttenschøn, Jonas Bybjerg-Grauholm, Na Cai, Enrique Castelao, Jane Varregaard Christensen, Toni-Kim Clarke, Jonathan R I Coleman, Lucía Colodro-Conde, Baptiste Couvy-Duchesne, Nick Craddock, Gregory E Crawford, Gail Davies, Ian J Deary, Franziska Degenhardt, Eske M Derks, Nese Direk, Conor V Dolan, Erin C Dunn, Thalia C Eley, Valentina Escott-Price, Farnush Farhadi Hassan Kiadeh, Hilary K Finucane, Andreas J Forstner, Josef Frank, Héléna A Gaspar, Michael Gill, Fernando S Goes, Scott D Gordon, Jakob Grove, Lynsey S Hall, Christine Søholm Hansen, Thomas F Hansen, Stefan Herms, Ian B Hickie, Per Hoffmann, Georg Homuth, Carsten Horn, Jouke-Jan Hottenga, David M Hougaard, Marcus Ising, Rick Jansen, Eric Jorgenson, James A Knowles, Isaac S Kohane, Julia Kraft, Warren W Kretzschmar, Jesper Krogh, Zoltán Kutalik, Yihan Li, Penelope A Lind, Donald J MacIntyre, Dean F MacKinnon, Robert M Maier, Wolfgang Maier, Jonathan Marchini, Hamdi Mbarek, Patrick McGrath, Peter McGuffin, Sarah E Medland, Divya Mehta, Christel M Middeldorp, Evelin Mihailov, Yuri Milaneschi, Lili Milani, Francis M Mondimore, Grant W Montgomery, Sara Mostafavi, Niamh Mullins, Matthias Nauck, Bernard Ng, Michel G Nivard, Dale R Nyholt, Paul F O'Reilly, Hogni Oskarsson, Michael J Owen, Jodie N Painter, Carsten Bøcker Pedersen, Marianne Giørtz Pedersen, Roseann E Peterson, Erik Pettersson, Wouter J Peyrot, Giorgio Pistis, Danielle Posthuma, Jorge A Quiroz, Per Qvist, John P Rice, Brien P Riley, Margarita Rivera, Saira Saeed Mirza, Robert Schoevers, Eva C Schulte, Ling Shen, Jianxin Shi, Stanley I Shyn, Engilbert Sigurdsson, Grant C B Sinnamon, Johannes H Smit, Daniel J Smith, Hreinn Stefansson, Stacy Steinberg, Fabian Streit, Jana Strohmaier, Katherine E Tansey, Henning Teismann, Alexander Teumer, Wesley Thompson, Pippa A Thomson, Thorgeir E Thorgeirsson, Matthew Traylor, Jens Treutlein, Vassily Trubetskoy, André G Uitterlinden, Daniel Umbricht, Sandra Van der Auwera, Albert M van Hemert, Alexander Viktorin, Peter M Visscher, Yunpeng Wang, Bradley T Webb, Shantel Marie Weinsheimer, Jürgen Wellmann, Gonneke Willemsen, Stephanie H Witt, Yang Wu, Hualin S Xi, Jian Yang, Futao Zhang, Volker Arolt, Bernhard T Baune, Klaus Berger, Dorret I Boomsma, Sven Cichon, Udo Dannlowski, E J C de Geus, J Raymond DePaulo, Enrico Domenici, Katharina Domschke, Tõnu Esko, Hans J Grabe, Steven P Hamilton, Caroline Hayward, Andrew C Heath, Kenneth S Kendler, Stefan Kloiber, Glyn Lewis, Qingqin S Li, Susanne Lucae, Pamela A F Madden, Patrik K Magnusson, Nicholas G Martin, Andrew M McIntosh, Andres Metspalu, Ole Mors, Preben Bo Mortensen, Bertram Müller-Myhsok, Merete Nordentoft, Markus M Nöthen, Michael C O'Donovan, Sara A Paciga, Nancy L Pedersen, Brenda W J H Penninx, Roy H Perlis, David J Porteous, James B Potash, Martin Preisig, Marcella Rietschel, Catherine Schaefer, Thomas G Schulze, Jordan W Smoller, Kari Stefansson, Henning Tiemeier, Rudolf Uher, Henry Völzke, Myrna M Weissman, Thomas Werge, Cathryn M Lewis, Douglas F Levinson, Gerome Breen, Anders D Børglum, Patrick F Sullivan., Epidemiology, Internal Medicine, Child and Adolescent Psychiatry / Psychology, Georg-August-University [Göttingen], University of California, Universita degli Studi di Cagliari [Cagliari], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), University of Graz, Università degli Studi di Perugia (UNIPG), University of Münster, Karl-Franzens-Universität [Graz, Autriche], Amare, A. T., Schubert, K. O., Hou, L., Clark, S. R., Papiol, S., Cearns, M., Heilbronner, U., Degenhardt, F., Tekola-Ayele, F., Hsu, Y. -H., Shekhtman, T., Adli, M., Akula, N., Akiyama, K., Ardau, R., Arias, B., Aubry, J. -M., Backlund, L., Bhattacharjee, A. K., Bellivier, F., Benabarre, A., Bengesser, S., Biernacka, J. M., Birner, A., Brichant-Petitjean, C., Cervantes, P., Chen, H. -C., Chillotti, C., Cichon, S., Cruceanu, C., Czerski, P. M., Dalkner, N., Dayer, A., Del Zompo, M., Depaulo, J. R., Etain, B., Jamain, S., Falkai, P., Forstner, A. J., Frisen, L., Frye, M. A., Fullerton, J. M., Gard, S., Garnham, J. S., Goes, F. S., Grigoroiu-Serbanescu, M., Grof, P., Hashimoto, R., Hauser, J., Herms, S., Hoffmann, P., Hofmann, A., Jimenez, E., Kahn, J. -P., Kassem, L., Kuo, P. -H., Kato, T., Kelsoe, J. R., Kittel-Schneider, S., Kliwicki, S., Konig, B., Kusumi, I., Laje, G., Landen, M., Lavebratt, C., Leboyer, M., Leckband, S. G., Tortorella, A., Manchia, M., Martinsson, L., Mccarthy, M. J., Mcelroy, S. L., Colom, F., Mitjans, M., Mondimore, F. M., Monteleone, P., Nievergelt, C. M., Nothen, M. M., Novak, T., O'Donovan, C., Ozaki, N., Osby, U., Pfennig, A., Potash, J. B., Reif, A., Wray, N. R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., Agerbo, E., Air, T. M., Andlauer, T. F. M., Bacanu, S. -A., Baekvad-Hansen, M., Beekman, A. T. F., Bigdeli, T. B., Binder, E. B., Blackwood, D. H. R., Bryois, J., Buttenschon, H. N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J., Clarke, T. -K., Coleman, J. R. I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G. E., Davies, G., Deary, I. J., Derks, E. M., Direk, N., Dolan, C. V., Dunn, E. C., Eley, T. C., Escott-Price, V., Kiadeh, F. F. H., Finucane, H. K., Frank, J., Gaspar, H. A., Gill, M., Gordon, S. D., Grove, J., Hall, L. S., Hansen, C. S., Hansen, T. F., Hickie, I. B., Homuth, G., Horn, C., Hottenga, J. -J., Hougaard, D. M., Ising, M., Jansen, R., Jorgenson, E., Knowles, J. A., Kohane, I. S., Kraft, J., Kretzschmar, W. W., Krogh, J., Kutalik, Z., Li, Y., Lind, P. A., Macintyre, D. J., Mackinnon, D. F., Maier, R. M., Maier, W., Marchini, J., Mbarek, H., Mcgrath, P., Mcguffin, P., Medland, S. E., Mehta, D., Middeldorp, C. M., Mihailov, E., Milaneschi, Y., Milani, L., Montgomery, G. W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M. G., Nyholt, D. R., O'Reilly, P. F., Oskarsson, H., Owen, M. J., Painter, J. N., Pedersen, C. B., Pedersen, M. G., Peterson, R. E., Pettersson, E., Peyrot, W. J., Pistis, G., Posthuma, D., Quiroz, J. A., Qvist, P., Rice, J. P., Riley, B. P., Rivera, M., Mirza, S. S., Schoevers, R., Schulte, E. C., Shen, L., Shi, J., Shyn, S. I., Sigurdsson, E., Sinnamon, G. C. B., Smit, J. H., Smith, D. J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K. E., Teismann, H., Teumer, A., Thompson, W., Thomson, P. A., Thorgeirsson, T. E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A. G., Umbricht, D., Van der Auwera, S., van Hemert, A. M., Viktorin, A., Visscher, P. M., Wang, Y., Webb, B. T., Weinsheimer, S. M., Wellmann, J., Willemsen, G., Witt, S. H., Wu, Y., Xi, H. S., Yang, J., Zhang, F., Arolt, V., Baune, B. T., Berger, K., Boomsma, D. I., Dannlowski, U., de Geus, E. J. C., Domenici, E., Domschke, K., Esko, T., Grabe, H. J., Hamilton, S. P., Hayward, C., Heath, A. C., Kendler, K. S., Kloiber, S., Lewis, G., Li, Q. S., Lucae, S., Madden, P. A. F., Magnusson, P. K., Martin, N. G., Mcintosh, A. M., Metspalu, A., Mors, O., Mortensen, P. B., Muller-Myhsok, B., Nordentoft, M., O'Donovan, M. C., Paciga, S. A., Pedersen, N. L., Penninx, B. W. J. H., Perlis, R. H., Porteous, D. J., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T. G., Smoller, J. W., Stefansson, K., Tiemeier, H., Uher, R., Volzke, H., Weissman, M. M., Werge, T., Lewis, C. M., Levinson, D. F., Breen, G., Borglum, A. D., Sullivan, P. F., Reininghaus, E., Rouleau, G. A., Rybakowski, J. K., Schalling, M., Schofield, P. R., Schweizer, B. W., Severino, G., Shilling, P. D., Shimoda, K., Simhandl, C., Slaney, C. M., Squassina, A., Stamm, T., Stopkova, P., Maj, M., Turecki, G., Vieta, E., Veeh, J., Wright, A., Zandi, P. P., Mitchell, P. B., Bauer, M., Alda, M., Mcmahon, F. J., and Adult Psychiatry

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Lithium (medication), [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Genome-wide association study, Logistic regression, THERAPY, ddc:616.89, 0302 clinical medicine, Medicine, Major depression, PREDICTORS, Depression (differential diagnoses), RISK, Depression, Psychiatry and Mental health, Quartile, Cohort, AUGMENTATION, medicine.drug, POLARITY, medicine.medical_specialty, GENETICS, Bipolar disorder, [SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics, Lithium, PROPHYLACTIC LITHIUM, 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 3 - Good Health and Well-being, Internal medicine, Humans, ddc:610, AGENTS, Molecular Biology, Genetic association, Depressive Disorder, Major, business.industry, medicine.disease, EFFICACY, 030104 developmental biology, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, PHARMACOLOGICAL-TREATMENTS, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

© 2020, The Author(s), under exclusive licence to Springer Nature Limited.Lithium is a first-line medication for bipolar disorder (BD), but only one in three patients respond optimally to the drug. Since evidence shows a strong clinical and genetic overlap between depression and bipolar disorder, we investigated whether a polygenic susceptibility to major depression is associated with response to lithium treatment in patients with BD. Weighted polygenic scores (PGSs) were computed for major depression (MD) at different GWAS p value thresholds using genetic data obtained from 2586 bipolar patients who received lithium treatment and took part in the Consortium on Lithium Genetics (ConLi+Gen) study. Summary statistics from genome-wide association studies in MD (135,458 cases and 344,901 controls) from the Psychiatric Genomics Consortium (PGC) were used for PGS weighting. Response to lithium treatment was defined by continuous scores and categorical outcome (responders versus non-responders) using measurements on the Alda scale. Associations between PGSs of MD and lithium treatment response were assessed using a linear and binary logistic regression modeling for the continuous and categorical outcomes, respectively. The analysis was performed for the entire cohort, and for European and Asian sub-samples. The PGSs for MD were significantly associated with lithium treatment response in multi-ethnic, European or Asian populations, at various p value thresholds. Bipolar patients with a low polygenic load for MD were more likely to respond well to lithium, compared to those patients with high polygenic load [lowest vs highest PGS quartiles, multi-ethnic sample: OR = 1.54 (95% CI: 1.18–2.01) and European sample: OR = 1.75 (95% CI: 1.30–2.36)]. While our analysis in the Asian sample found equivalent effect size in the same direction: OR = 1.71 (95% CI: 0.61–4.90), this was not statistically significant. Using PGS decile comparison, we found a similar trend of association between a high genetic loading for MD and lower response to lithium. Our findings underscore the genetic contribution to lithium response in BD and support the emerging concept of a lithium-responsive biotype in BD.

Published
2021

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

Author

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

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

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

Published
2021

16. Latent subtypes of manic and/or irritable episode symptoms in two population-based cohorts.

Author

Arathimos, Ryan, Fabbri, Chiara, Vassos, Evangelos, Davis, Katrina A. S., Pain, Oliver, Gillett, Alexandra, Coleman, Jonathan R. I., Hanscombe, Ken, Hagenaars, Saskia, Jermy, Bradley, Corbett, Anne, Ballard, Clive, Aarsland, Dag, Creese, Byron, and Lewis, Cathryn M.

Subjects
DISEASE risk factors, MONOGENIC & polygenic inheritance (Genetics), AFFECTIVE disorders, SYMPTOMS, MEDICAL research
Abstract

Background: Mood disorders are characterised by pronounced symptom heterogeneity, which presents a substantial challenge both to clinical practice and research. Identification of subgroups of individuals with homogeneous symptom profiles that cut across current diagnostic categories could provide insights in to the transdiagnostic relevance of individual symptoms, which current categorical diagnostic systems cannot impart.Aims: To identify groups of people with homogeneous clinical characteristics, using symptoms of manic and/or irritable mood, and explore differences between groups in diagnoses, functional outcomes and genetic liability.Method: We used latent class analysis on eight binary self-reported symptoms of manic and irritable mood in the UK Biobank and PROTECT studies, to investigate how individuals formed latent subgroups. We tested associations between the latent classes and diagnoses of psychiatric disorders, sociodemographic characteristics and polygenic risk scores.Results: Five latent classes were derived in UK Biobank (N = 42 183) and were replicated in the independent PROTECT cohort (N = 4445), including 'minimally affected', 'inactive restless', active restless', 'focused creative' and 'extensively affected' individuals. These classes differed in disorder risk, polygenic risk score and functional outcomes. One class that experienced disruptive episodes of mostly irritable mood largely comprised cases of depression/anxiety, and a class of individuals with increased confidence/creativity reported comparatively lower disruptiveness and functional impairment.Conclusions: Findings suggest that data-driven investigations of psychopathological symptoms that include sub-diagnostic threshold conditions can complement research of clinical diagnoses. Improved classification systems of psychopathology could investigate a weighted approach to symptoms, toward a more dimensional classification of mood disorders. [ABSTRACT FROM AUTHOR]

Published
2022
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17. Polygenic Scores in Psychiatry: On the Road From Discovery to Implementation.

Author

Lewis, Cathryn M. and Vassos, Evangelos

Subjects
*PSYCHIATRY, *GENETICS, *SEQUENCE analysis, *DISEASE susceptibility
Abstract

The article presents an overview on polygenic scores (PGSs) in psychiatry. Topics discussed include exploration on clinical applications for PGSs, study which identified independent genetic variants associated with schizophrenia, and methods developed to calculate PGSs. It also mentions important application of PGSs, and clinical question for the treating psychiatrist when someone develops a first depressive episode.

Published
2022
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18. Analysis of shared common genetic risk between amyotrophic lateral sclerosis and epilepsy

Author

Schijven, D., Stevelink, R., Mccormack, M., van Rheenen, W., Luykx, J. J., Koeleman, B. P. C., Veldink, J. H., Aleksey, Shatunov, Mclaughlin, Russell L., van der Spek, Rick A. A., Alfredo, Iacoangeli, Kenna, Kevin P., van Eijk, Kristel R., Nicola, Ticozzi, Boris, Rogelj, Katarina, Vrabec, Metka, Ravnik-Glavač, Blaž, Koritnik, Janez, Zidar, Lea, Leonardis, Leja Dolenc Grošelj, Stéphanie, Millecamps, François, Salachas, Vincent, Meininger, Mamede de Carvalho, Susana, Pinto, Marta, Gromicho, Ana, Pronto-Laborinho, Mora, Jesus S., Ricardo, Rojas-García, Meraida, Polak, Siddharthan, Chandran, Shuna, Colville, Robert, Swingler, Morrison, Karen E., Shaw, Pamela J., John, Hardy, Orrell, Richard W., Alan, Pittman, Katie, Sidle, Pietro, Fratta, Andrea, Malaspina, Simon, Topp, Susanne, Petri, Susanna, Abdulla, Carsten, Drepper, Michael, Sendtner, Thomas, Meyer, Ophoff, Roel A., Staats, Kim A., Martina, Wiedau-Pazos, Catherine, Lomen-Hoerth, Van Deerlin, Vivianna M., Trojanowski, John Q., Lauren, Elman, Leo, Mccluskey, Nazli Basak, A., Thomas, Meitinger, Peter, Lichtner, Milena, Blagojevic-Radivojkov, Andres, Christian R., Gilbert, Bensimon, Bernhard, Landwehrmeyer, Alexis, Brice, Payan, Christine A. M., Safaa, Saker-Delye, Alexandra, Dürr, Wood, Nicholas W., Lukas, Tittmann, Wolfgang, Lieb, Andre, Franke, Marcella, Rietschel, Sven, Cichon, Nöthen, Markus M., Philippe, Amouyel, Christophe, Tzourio, Jean-François, Dartigues, Uitterlinden, Andre G., Fernando, Rivadeneira, Karol, Estrada, Albert, Hofman, Charles, Curtis, van der Kooi, Anneke J., Markus, Weber, Shaw, Christopher E., Smith, Bradley N., Daisy, Sproviero, Cristina, Cereda, Mauro, Ceroni, Luca, Diamanti, Roberto Del Bo, Stefania, Corti, Comi, Giacomo P., Sandra, D'Alfonso, Lucia, Corrado, Bertolin, Cinzia, Soraru', Gianni, Letizia, Mazzini, Viviana, Pensato, Cinzia, Gellera, Cinzia, Tiloca, Antonia, Ratti, Andrea, Calvo, Cristina, Moglia, Maura, Brunetti, Simona, Arcuti, Rosa, Capozzo, Chiara, Zecca, Christian, Lunetta, Silvana, Penco, Nilo, Riva, Alessandro, Padovani, Massimiliano, Filosto, Ian, Blair, Nicholson, Garth A., Rowe, Dominic B., Roger, Pamphlett, Kiernan, Matthew C., Julian, Grosskreutz, Witte, Otto W., Robert, Steinbach, Tino, Prell, Beatrice, Stubendorff, Ingo, Kurth, Hübner, Christian A., Nigel Leigh, P., Federico, Casale, Adriano, Chio, Ettore, Beghi, Elisabetta, Pupillo, Rosanna, Tortelli, Giancarlo, Logroscino, John, Powell, Ludolph, Albert C., Weishaupt, Jochen H., Wim, Robberecht, Philip Van Damme, Brown, Robert H., Glass, Jonathan D., Landers, John E., Orla, Hardiman, Andersen, Peter M., Philippe, Corcia, Patrick, Vourc'H, Vincenzo, Silani, van Es, Michael A., Jeroen Pasterkamp, R., Lewis, Cathryn M., Gerome, Breen, Ammar, Al-Chalabi, van den Berg, Leonard H., Veldink, Jan H., Daniela, Calini, Isabella, Fogh, Barbara, Castellotti, Franco, Taroni, Stella, Gagliardi, Giacomo, Comi, Sandra, D’Alfonso, Pegoraro, Elena, Giorgia, Querin, Francesca, Gerardi, Fabrizio, Rinaldi, Maria Sofia Cotelli, Luca, Chiveri, Maria Cristina Guaita, Patrizia, Perrone, Giancarlo, Comi, Carlo, Ferrarese, Lucio, Tremolizzo, Marialuisa, Delodovici, Giorgio, Bono, Stefania, Cammarosano, Antonio, Canosa, Dario, Cocito, Leonardo, Lopiano, Luca, Durelli, Bruno, Ferrero, Antonio, Bertolotto, Alessandro, Mauro, Luca, Pradotto, Roberto, Cantello, Enrica, Bersano, Dario, Giobbe, Maurizio, Gionco, Daniela, Leotta, Lucia, Appendino, Cavallo, Cavallo, Enrico, Odddenino, Claudio, Geda, Fabio, Poglio, Paola, Santimaria, Umberto, Massazza, Antonio, Villani, Roberto, Conti, Fabrizio, Pisano, Mario, Palermo, Franco, Vergnano, Paolo, Provera, Maria Teresa Penza, Marco, Aguggia, Nicoletta Di Vito, Piero, Meineri, Ilaria, Pastore, Paolo, Ghiglione, Danilo, Seliak, Nicola, Launaro, Giovanni, Astegiano, Bottacchi, Edo, Isabella Laura Simone, Stefano, Zoccolella, Michele, Zarrelli, Franco, Apollo, William, Camu, Jean Sebastien Hulot, Francois, Viallet, Philippe, Couratier, David, Maltete, Christine, Tranchant, Marie, Vidailhet, Bassel, Abou-Khalil, Pauls, Auce, Andreja, Avbersek, Melanie, Bahlo, David, J Balding, Thomas, Bast, Larry, Baum, Albert, J Becker, Felicitas, Becker, Bianca, Berghuis, Samuel, F Berkovic, Katja, E Boysen, Jonathan, P Bradfield, Lawrence, C Brody, Russell, J Buono, Ellen, Campbell, Gregory, D Cascino, Claudia, B Catarino, Gianpiero, L Cavalleri, Stacey, S Cherny, Krishna, Chinthapalli, Alison, J Coffey, Alastair, Compston, Antonietta, Coppola, Patrick, Cossette, John, J Craig, Gerrit-Jan de Haan, Peter De Jonghe, Carolien G, F de Kovel, Norman, Delanty, Chantal, Depondt, Orrin, Devinsky, Dennis, J Dlugos, Colin, P Doherty, Christian, E Elger, Johan, G Eriksson, Thomas, N Ferraro, Martha, Feucht, Ben, Francis, Jacqueline, A French, Saskia, Freytag, Verena, Gaus, Eric, B Geller, Christian, Gieger, Tracy, Glauser, Simon, Glynn, David, B Goldstein, Hongsheng, Gui, Youling, Guo, Kevin, F Haas, Hakon, Hakonarson, Kerstin, Hallmann, Sheryl, Haut, Erin, L Heinzen, Ingo, Helbig, Christian, Hengsbach, Helle, Hjalgrim, Michele, Iacomino, Andrés, Ingason, Michael, R Johnson, Reetta, Kälviäinen, Anne-Mari, Kantanen, Dalia, Kasperavičiūte, Dorothee Kasteleijn-Nolst Trenite, Heidi, E Kirsch, Robert, C Knowlton, Bobby P, C Koeleman, Roland, Krause, Martin, Krenn, Wolfram, S Kunz, Ruben, Kuzniecky, Patrick, Kwan, Dennis, Lal, Yu-Lung, Lau, Anna-Elina, Lehesjoki, Holger, Lerche, Costin, Leu, Dick, Lindhout, Warren, D Lo, Iscia, Lopes-Cendes, Daniel, H Lowenstein, Alberto, Malovini, Anthony, G Marson, Thomas, Mayer, Mark, Mccormack, James, L Mills, Nasir, Mirza, Martina, Moerzinger, Rikke, S Møller, Anne, M Molloy, Hiltrud, Muhle, Mark, Newton, Ping-Wing, Ng, Markus, M Nöthen, Peter, Nürnberg, Terence, J O’Brien, Karen, L Oliver, Aarno, Palotie, Faith, Pangilinan, Sarah, Peter, Slavé, Petrovski, Annapurna, Poduri, Michael, Privitera, Rodney, Radtke, Sarah, Rau, Philipp, S Reif, Eva, M Reinthaler, Felix, Rosenow, Josemir, W Sander, Thomas, Sander, Theresa, Scattergood, Steven, C Schachter, Christoph, J Schankin, Ingrid, E Scheffer, Bettina, Schmitz, Susanne, Schoch, Pak, C Sham, Jerry, J Shih, Graeme, J Sills, Sanjay, M Sisodiya, Lisa, Slattery, Alexander, Smith, David, F Smith, Michael, C Smith, Philip, E Smith, Anja C, M Sonsma, Doug, Speed, Michael, R Sperling, Bernhard, J Steinhoff, Ulrich, Stephani, Remi, Stevelink, Konstantin, Strauch, Pasquale, Striano, Hans, Stroink, Rainer, Surges, K Meng Tan, Liu Lin Thio, G Neil Thomas, Marian, Todaro, Rossana, Tozzi, Maria, S Vari, Eileen P, G Vining, Frank, Visscher, Sarah von Spiczak, Nicole, M Walley, Yvonne, G Weber, Zhi, Wei, Judith, Weisenberg, Christopher, D Whelan, Peter, Widdess-Walsh, Markus, Wolff, Stefan, Wolking, Wanling, Yang, Federico, Zara, Fritz, Zimprich, Project MinE ALS GWAS Consortium, International League Against Epilepsy Consortium on Complex Epilepsies, Department of Medical and Clinical Genetics, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, Clinicum, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, and HUS Helsinki and Uusimaa Hospital District

Subjects
Risk, 0301 basic medicine, Aging, Genetic correlation, Geriatrics & Gerontology, education, Genome-wide association study, Biology, ALS, Epilepsy, Amyotrophic Lateral Sclerosis, Gene Frequency, Humans, Genetic Variation, Genome-Wide Association Study, Negative Results, Article, 3124 Neurology and psychiatry, 03 medical and health sciences, 0302 clinical medicine, Genetic variation, medicine, Amyotrophic lateral sclerosis, Allele frequency, Genetics, Science & Technology, Mechanism (biology), General Neuroscience, 3112 Neurosciences, Neurosciences, medicine.disease, 3. Good health, Minor allele frequency, 030104 developmental biology, Neurology (clinical), Neurosciences & Neurology, Geriatrics and Gerontology, Life Sciences & Biomedicine, 030217 neurology & neurosurgery, Developmental Biology
Abstract

Because hyper-excitability has been shown to be a shared pathophysiological mechanism, we used the latest and largest genome-wide studies in amyotrophic lateral sclerosis (n = 36,052) and epilepsy (n = 38,349) to determine genetic overlap between these conditions. First, we showed no significant genetic correlation, also when binned on minor allele frequency. Second, we confirmed the absence of polygenic overlap using genomic risk score analysis. Finally, we did not identify pleiotropic variants in meta-analyses of the 2 diseases. Our findings indicate that amyotrophic lateral sclerosis and epilepsy do not share common genetic risk, showing that hyper-excitability in both disorders has distinct origins. ispartof: NEUROBIOLOGY OF AGING vol:92 ispartof: location:United States status: published

Published
2020

19. Using major depression polygenic risk scores to explore the depressive symptom continuum.

Author

Jermy, Bradley S., Hagenaars, Saskia P., Glanville, Kylie P., Coleman, Jonathan R. I., Howard, David M., Breen, Gerome, Vassos, Evangelos, and Lewis, Cathryn M.

Subjects
MENTAL depression genetics, MENTAL depression risk factors, CASE-control method, RISK assessment, MENTAL depression, FACTOR analysis, THEORY, DESCRIPTIVE statistics, PREDICTION models, PHENOTYPES
Abstract

Background: Major depression (MD) is often characterised as a categorical disorder; however, observational studies comparing sub-threshold and clinical depression suggest MD is continuous. Many of these studies do not explore the full continuum and are yet to consider genetics as a risk factor. This study sought to understand if polygenic risk for MD could provide insight into the continuous nature of depression. Methods: Factor analysis on symptom-level data from the UK Biobank (N = 148 957) was used to derive continuous depression phenotypes which were tested for association with polygenic risk scores (PRS) for a categorical definition of MD (N = 119 692). Results: Confirmatory factor analysis showed a five-factor hierarchical model, incorporating 15 of the original 18 items taken from the PHQ-9, GAD-7 and subjective well-being questionnaires, produced good fit to the observed covariance matrix (CFI = 0.992, TLI = 0.99, RMSEA = 0.038, SRMR = 0.031). MD PRS associated with each factor score (standardised β range: 0.057–0.064) and the association remained when the sample was stratified into case- and control-only subsets. The case-only subset had an increased association compared to controls for all factors, shown via a significant interaction between lifetime MD diagnosis and MD PRS (p value range: 2.23 × 10−3–3.94 × 10−7). Conclusions: An association between MD PRS and a continuous phenotype of depressive symptoms in case- and control-only subsets provides support against a purely categorical phenotype; indicating further insights into MD can be obtained when this within-group variation is considered. The stronger association within cases suggests this variation may be of particular importance. [ABSTRACT FROM AUTHOR]

Published
2022
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20. Multifactorial disorders and polygenic risk scores: predicting common diseases and the possibility of adverse selection in life and protection insurance.

Author

Maxwell, Jessye M., Russell, Richard A., Wu, Hei Man, Sharapova, Natasha, Banthorpe, Peter, O'Reilly, Paul F, and Lewis, Cathryn M

Subjects
LIFE insurance, GENETIC variation, DISEASE risk factors
Abstract

During the past decade, genetics research has allowed scientists and clinicians to explore the human genome in detail and reveal many thousands of common genetic variants associated with disease. Genetic risk scores, known as polygenic risk scores (PRSs), aggregate risk information from the most important genetic variants into a single score that describes an individual's genetic predisposition to a given disease. This article reviews recent developments in the predictive utility of PRSs in relation to a person's susceptibility to breast cancer and coronary artery disease. Prognostic models for these disorders are built using data from the UK Biobank, controlling for typical clinical and underwriting risk factors. Furthermore, we explore the possibility of adverse selection where genetic information about multifactorial disorders is available for insurance purchasers but not for underwriters. We demonstrate that prediction of multifactorial diseases, using PRSs, provides population risk information additional to that captured by normal underwriting risk factors. This research using the UK Biobank is in the public interest as it contributes to our understanding of predicting risk of disease in the population. Further research is imperative to understand how PRSs could cause adverse selection if consumers use this information to alter their insurance purchasing behaviour. [ABSTRACT FROM AUTHOR]

Published
2021
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21. Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

Author

Malik, Rainer, Chauhan, Ganesh, Anderson, Christopher D, Salomaa, Veikko, Sapkota, Bishwa R, Schmidt, Reinhold, Schmidt, Carsten O, Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie L M, Tanislav, Christian, Tatlisumak, Turgut, Chong, Michael, Taylor, Kent D, Thijs, Vincent N S, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Trompet, Stella, Tzourio, Christophe, van Duijn, Cornelia M, Walters, Matthew, Wareham, Nicholas J, Adams, Hieab H H, Wassertheil-Smoller, Sylvia, Wilson, James G, Wiggins, Kerri L, Yang, Qiong, Yusuf, Salim, Consortium, AFGen, Epidemiology, Cohorts for Heart and Aging Research in Genomic, Pressure, International Genomics of Blood, Consortium, INVENT, STARNET, Ago, Tetsuro, Bis, Joshua C, Pastinen, Tomi, Ruusalepp, Arno, Schadt, Eric E, Koplev, Simon, Björkegren, Johan L M, Codoni, Veronica, Civelek, Mete, Smith, Nicholas L, Trégouët, David A, Almgren, Peter, Christophersen, Ingrid E, Roselli, Carolina, Lubitz, Steven A, Ellinor, Patrick T, Tai, E Shyong, Kooner, Jaspal S, Kato, Norihiro, He, Jiang, van der Harst, Pim, Elliott, Paul, Amouyel, Philippe, Chambers, John C, Takeuchi, Fumihiko, Johnson, Andrew D, Group, BioBank Japan Cooperative Hospital, Consortium, COMPASS, Consortium, EPIC-CVD, Consortium, EPIC-InterAct, Consortium, International Stroke Genetics, Consortium, METASTROKE, Consortium, Neurology Working Group of the CHARGE, Ay, Hakan, Network, NINDS Stroke Genetics, Study, UK Young Lacunar DNA, Consortium, MEGASTROKE, Sanghera, Dharambir K, Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez-Cadenas, Israel, Longstreth, W. T., Rolfs, Arndt, Bartz, Traci M, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C, Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B, Kittner, Steven J, Seshadri, Sudha, Benavente, Oscar R, Fornage, Myriam, Markus, Hugh S, Howson, Joanna M M, Kamatani, Yoichiro, Debette, Stephanie, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Bevan, Steve, Mishra, Aniket, Rutten-Jacobs, Loes, Giese, Anne-Katrin, van der Laan, Sander W, Gretarsdottir, Solveig, Boncoraglio, Giorgio B, Brown, Robert D, Butterworth, Adam S, Carrera, Caty, Carty, Cara L, Chasman, Daniel I, Chen, Wei-Min, Cole, John W, Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul I W, DeStefano, Anita L, den Hoed, Marcel, Duan, Qing, Engelter, Stefan T, Falcone, Guido J, Gottesman, Rebecca F, Grewal, Raji P, Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeffrey, Harris, Tamara B, Hassan, Ahamad, Havulinna, Aki S, Heckbert, Susan R, Holliday, Elizabeth G, Howard, George, Hsu, Fang-Chi, Hyacinth, Hyacinth I, Ikram, M Arfan, Ingelsson, Erik, Irvin, Marguerite R, Jian, Xueqiu, Jiménez-Conde, Jordi, Johnson, Julie A, Jukema, J Wouter, Kanai, Masahiro, Keene, Keith L, Kissela, Brett M, Kleindorfer, Dawn O, Kooperberg, Charles, Kubo, Michiaki, Lange, Leslie A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Jin-Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M, Lin, Wei-Yu, Lindgren, Arne G, Lorentzen, Erik, Magnusson, Patrik K, Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F, Meschia, James F, Mitchell, Braxton D, Mosley, Thomas H, Nalls, Michael A, Ninomiya, Toshiharu, O'Donnell, Martin J, Psaty, Bruce M, Pulit, Sara L, Rannikmäe, Kristiina, Reiner, Alexander P, Rexrode, Kathryn M, Rice, Kenneth, Rich, Stephen S, Ridker, Paul M, Rost, Natalia S, Rothwell, Peter M, Rotter, Jerome I, Rundek, Tatjana, Sacco, Ralph L, Sakaue, Saori, Sale, Michele M, Amin, Najaf, Aparicio, Hugo S, Arnett, Donna K, Attia, John, Beiser, Alexa S, Berr, Claudine, Buring, Julie E, Bustamante, Mariana, Caso, Valeria, Cheng, Yu-Ching, Choi, Seung Hoan, Chowhan, Ayesha, Cullell, Natalia, Dartigues, Jean-François, Delavaran, Hossein, Delgado, Pilar, Dörr, Marcus, Engström, Gunnar, Ford, Ian, Gurpreet, Wander S, Hamsten, Anders, Heitsch, Laura, Hozawa, Atsushi, Ibanez, Laura, Ilinca, Andreea, Ingelsson, Martin, Iwasaki, Motoki, Jackson, Rebecca D, Jood, Katarina, Jousilahti, Pekka, Kaffashian, Sara, Kalra, Lalit, Kamouchi, Masahiro, Kitazono, Takanari, Kjartansson, Olafur, Kloss, Manja, Koudstaal, Peter J, Krupinski, Jerzy, Labovitz, Daniel L, Laurie, Cathy C, Levi, Christopher R, Li, Linxin, Lind, Lars, Lindgren, Cecilia M, Lioutas, Vasileios, Liu, Yong Mei, Lopez, Oscar L, Makoto, Hirata, Martinez-Majander, Nicolas, Matsuda, Koichi, Minegishi, Naoko, Montaner, Joan, Morris, Andrew P, Muiño, Elena, Müller-Nurasyid, Martina, Norrving, Bo, Ogishima, Soichi, Parati, Eugenio A, Peddareddygari, Leema Reddy, Pedersen, Nancy L, Pera, Joanna, Perola, Markus, Pezzini, Alessandro, Pileggi, Silvana, Rabionet, Raquel, Riba-Llena, Iolanda, Ribasés, Marta, Romero, Jose R, Roquer, Jaume, Rudd, Anthony G, Sarin, Antti-Pekka, Sarju, Ralhan, Sarnowski, Chloe, Sasaki, Makoto, Satizabal, Claudia L, Satoh, Mamoru, Sattar, Naveed, Sawada, Norie, Sibolt, Gerli, Sigurdsson, Ásgeir, Smith, Albert, Sobue, Kenji, Soriano-Tárraga, Carolina, Stanne, Tara, Stine, O Colin, Stott, David J, Strauch, Konstantin, Takai, Takako, Tanaka, Hideo, Tanno, Kozo, Teumer, Alexander, Tomppo, Liisa, Torres-Aguila, Nuria P, Touze, Emmanuel, Tsugane, Shoichiro, Uitterlinden, Andre G, Valdimarsson, Einar M, van der Lee, Sven J, Völzke, Henry, Wakai, Kenji, Weir, David, Williams, Stephen R, Wolfe, Charles D A, Wong, Quenna, Xu, Huichun, Yamaji, Taiki, and Dichgans, Martin

Subjects
0303 health sciences, medicine.medical_specialty, Published Erratum, MathematicsofComputing_GENERAL, TheoryofComputation_GENERAL, Genome-wide association study, Biology, medicine.disease, Biobank, 03 medical and health sciences, 0302 clinical medicine, ddc:570, Genetics, medicine, Psychiatry, Stroke, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

In the HTML version of this article initially published, the author groups ‘AFGen Consortium’, ‘Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium’, ‘International Genomics of Blood Pressure (iGEN-BP) Consortium’, ‘INVENT Consortium’, ‘STARNET’, ‘BioBank Japan Cooperative Hospital Group’, ‘COMPASS Consortium’, ‘EPIC-CVD Consortium’, ‘EPIC-InterAct Consortium’, ‘International Stroke Genetics Consortium (ISGC)’, ‘METASTROKE Consortium’, ‘Neurology Working Group of the CHARGE Consortium’, ‘NINDS Stroke Genetics Network (SiGN)’, ‘UK Young Lacunar DNA Study’ and ‘MEGASTROKE Consortium’ appeared at the end of the author list but should have appeared earlier in the list. In addition, the author group ‘MEGASTROKE Consortium’ was duplicated, and its members were not displayed in the ‘Author information’ section. The errors have been corrected in the HTML version of the article.

Published
2019

22. Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Author

Czamara, Darina, Eraslan, Gökçen, Page, Christian M., Lahti, Jari, Lahti-Pulkkinen, Marius, Hämäläinen, Esa, Kajantie, Eero, Laivuori, Hannele, Villa, Pia M., Reynolds, Rebecca M., Nystad, Wenche, Håberg, Siri E., London, Stephanie J., O’Donnell, Kieran J., Garg, Elika, Meaney, Michael J., Entringer, Sonja, Wadhwa, Pathik D., Buss, Claudia, Jones, Meaghan J., Lin, David T. S., MacIsaac, Julie L., Kobor, Michael S., Koen, Nastassja, Zar, Heather J., Koenen, Karestan C., Dalvie, Shareefa, Stein, Dan J., Kondofersky, Ivan, Müller, Nikola S., Theis, Fabian J., Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F. M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T. F., Bigdeli, Tim B., Blackwood, Douglas H. R., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R. I., Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Deary, Ian J., Degenhardt, Franziska, Derks, Eske M., Direk, Nese, Dolan, Conor V., Dunn, Erin C., Eley, Thalia C., Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K., Forstner, Andreas J., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Goes, Fernando S., Gordon, Scott D., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M., Ising, Marcus, Jansen, Rick, Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Krogh, Jesper, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M., Montgomery, Grant W., Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O’Reilly, Paul F., Oskarsson, Hogni, Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E., Pettersson, Erik, Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C. B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T., Berger, Klaus, Boomsma, Dorret I., Cichon, Sven, Dannlowski, Udo, de Geus, E. J. C., DePaulo, J. Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Kendler, Kenneth S., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela A. F., Magnusson, Patrik K., Martin, Nicholas G., McIntosh, Andrew M., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M., O’Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Penninx, Brenda W. J. H., Perlis, Roy H., Porteous, David J., Potash, James B., Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Lewis, Cathryn M., Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., Räikkönen, Katri, Binder, Elisabeth B., Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Epidemiology, Internal Medicine, Child and Adolescent Psychiatry / Psychology, Psychiatry, APH - Mental Health, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Methodology, APH - Digital Health, Department of Psychology and Logopedics, Helsinki Collegium for Advanced Studies, Faculty of Medicine, Developmental Psychology Research Group, Medicum, HUSLAB, Department of Diagnostics and Therapeutics, HUS Children and Adolescents, Lastentautien yksikkö, Children's Hospital, HUS Gynecology and Obstetrics, Institute for Molecular Medicine Finland, Pregnancy and Genes, Department of Medical and Clinical Genetics, Department of Obstetrics and Gynecology, Helsinki Institute of Life Science HiLIFE, Genomics of Neurological and Neuropsychiatric Disorders, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Adult Psychiatry, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., Blackwood, DHR, Bryois, J., Buttenschøn, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, JRI, Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, FFH, Finucane, H.K., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Krogh, J., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, EJC, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.S., Lucae, S., Madden, PAF, Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Müller-Myhsok, B., Nordentoft, M., Nöthen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, BWJH, Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Völzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Børglum, A.D., Sullivan, P.F., Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, and University of Iceland

Subjects
Male, Epigenomics, 0301 basic medicine, Netherlands Twin Register (NTR), Erfðagreining, General Physics and Astronomy, Genome-wide association study, 02 engineering and technology, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Epigenesis, Genetic, Cohort Studies, PRENATAL STRESS, Pregnancy, Risk Factors, Genamengi, Genotype, 2.1 Biological and endogenous factors, MATERNAL SMOKING, Aetiology, Gene–environment interaction, lcsh:Science, 10. No inequality, Pediatric, RISK, Genetics, DNA methylation, Multidisciplinary, 1184 Genetics, developmental biology, physiology, Methylation, Fetal Blood, 021001 nanoscience & nanotechnology, GENOTYPE, ddc, 3. Good health, PREGNANCY, Nýburar, Female, ddc:500, 0210 nano-technology, BIRTH, Science, IN-UTERO, Biology, CHILDHOOD MALTREATMENT, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Genetic, MD Multidisciplinary, Humans, Epigenetics, Prevention, Human Genome, NORWEGIAN MOTHER, GENOME-WIDE, Infant, Newborn, Infant, biomarkers, dNaM, DNA, General Chemistry, Newborn, DNA-rannsóknir, 030104 developmental biology, epigenomics, lcsh:Q, Gene-Environment Interaction, 3111 Biomedicine, Biomarkers, Epigenesis
Abstract

Publisher's version (útgefin grein), Epigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. Here we examine the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs) in 4 independent cohorts (overall n = 2365). We use Akaike’s information criterion to test which factors best explain variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E), genotypes in cis (G), or their additive (G + E) or interaction (GxE) effects. Genetic and environmental factors in combination best explain DNAm at the majority of VMRs. The CpGs best explained by either G, G + E or GxE are functionally distinct. The enrichment of genetic variants from GxE models in GWAS for complex disorders supports their importance for disease risk., We want to thank Susanne Sauer and Maik Ködel for their technical assistance and Jessica Keverne for language editing. We thank all mothers who took part in the on-going PREDO study. We are grateful to all the families in Norway who participate in the on-going MoBa cohort study. We thank the Drakenstein Child Health Study staff, and the clinical and administrative staff of the Western Cape Government Department of Health at Paarl Hospital and at the clinics for support of the Study. We also thank our collaborators and students. Finally, we thank all mothers and children enroled in the Drakenstein Child Health Study. We thank the research participants and employees of 23andMe, Inc. for their contribution to this study. This work was supported by the Academy of Finland (E.K., H.L., K.R., and J.L.); University of Helsinki Research Funds (J.L., M.L.P., and H.L.), British Heart Foundation (RMR); Tommy’s (RMR); European Commission (EK, KR, Horizon 2020 Award SC1–2016-RTD-733280 RECAP); NorFace DIAL (E.K., KR PremLife); Foundation for Pediatric Research (E.K.); Juho Vainio Foundation (E.K.); Novo Nordisk Foundation (E.K.); Signe and Ane Gyllenberg Foundation (E.K., K.R.); Sigrid Jusélius Foundation (E.K.); Finnish Medical Foundation (H.L.); Jane and Aatos Erkko Foundation (H.L.); Päivikki and Sakari Sohlberg Foundation (H.L., P.M.V.); the Clinical Graduate school in Pediatrics and Obstetrics/Gynaecology in University of Helsinki (P.M.V.). The Norwegian Mother and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research, NIH/NIEHS (contract no N01-ES-75558), NIH/NINDS (grant no.1 UO1 NS 047537–01 and grant no.2 UO1 NS 047537–06A1). For this work, MoBa 1 and 2 were supported by the Intramural Research Program of the NIH, National Institute of Environmental Health Sciences (Z01-ES-49019) and the Norwegian Research Council/BIOBANK (grant no 221097). This work was also partly supported by the Research Council of Norway through its Centres of Excellence funding scheme, project number 262700. The Drakenstein Child Health Study is supported by the Bill and Melinda Gates Foundation (OPP 1017641); with additional support for this work from the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health (NICHD) under Award Number R21HD085849; and the Fogarty International Center (FIC). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Additional support for H.J.Z., D.J.S. and N.K., and for research reported in this publication was by the South African Medical Research Council (SAMRC); N.K. receives support from the SAMRC under a Self-Initiated Research Grant. The views and opinions expressed are those of the authors and do not necessarily represent the official views of the SAMRC. This work was also funded by the German Federal Ministry of Education and Research through the Research Consortium Integrated Network IntegraMent (grant 01ZX1314H) under the auspices of the e:Med Programme (NSM). The UCI cohort was supported by a European Research Area Network (ERA Net) Neuron grant (01EW1407A, CB) and National Institutes of Health grant (R01 HD-060628, CB) as well as NIH grant R01 MH-105538 (PDW). This work was also funded by the Canadian Institute for Advanced Research, Child and Brain Development Program, Toronto, ON, Canada (KJOD).

Published
2019

23. Genetics of stroke in a UK African ancestry case-control study: South London Ethnicity and Stroke Study

Author

Traylor, Matthew, Rutten-Jacobs, Loes, Curtis, Charles, Patel, Hamel, Breen, Gerome, Newhouse, Stephen, Lewis, Cathryn M, Markus, Hugh S, Traylor, Matthew [0000-0001-6624-8621], Jacobs, Loes [0000-0003-3223-885X], Markus, Hugh [0000-0002-9794-5996], and Apollo - University of Cambridge Repository

Subjects
Stroke, 0604 Genetics, Clinical Research, FOS: Biological sciences, Human Genome, Genetics, 2.1 Biological and endogenous factors, cardiovascular diseases, 1117 Public Health and Health Services, Brain Disorders
Abstract

OBJECTIVE: Despite epidemiologic data showing an increased stroke incidence in African ancestry populations, genetic studies in this group have so far been limited, and there has been little characterization of the genetic contribution to stroke liability in this population, particularly for stroke subtypes. METHODS: We evaluated the evidence that genetic factors contribute to stroke and stroke subtypes in a population of 917 African and African Caribbean stroke cases and 868 matched controls from London, United Kingdom. We (1) estimated the heritability of stroke in this population using genomic-relatedness matrix-restricted maximum likelihood approaches, (2) assessed loci associated with stroke in Europeans in our population, and (3) evaluated the influence of genetic factors underlying cardiovascular risk factors on stroke using polygenic risk scoring. RESULTS: Our results indicate a substantial genetic contribution to stroke risk in African ancestry populations (h2 = 0.35 [SE = 0.19], p = 0.043). Polygenic risk scores indicate that cardiovascular risk scores contribute to the genetic liability (odds ratio [OR] 1.09 [95% confidence interval (CI) 1.01-1.17], p = 0.029) and point to a strong influence of type 2 diabetes in large vessel stroke (OR 1.62 [95% CI 1.19-2.22], p = 0.0024). Single nucleotide polymorphisms associated with ischemic stroke in Europeans shared direction of effect in SLESS (p = 0.031), suggesting that disease mechanisms are shared across ancestries. CONCLUSIONS: Stroke in African ancestry populations is highly heritable and influenced by genetic determinants underlying cardiovascular risk factors. In addition, stroke loci identified in Europeans share direction of effect in African populations. Future genome-wide association studies must focus on incorporating African ancestry individuals.

Published
2018
Full Text
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24. Genetic Risk for Psychiatric Disorders and Telomere Length

Author

Palmos, Alish B., Breen, Gerome, Goodwin, Laura, Frissa, Souci, Hatch, Stephani L., Hotopf, Matthew, Thuret, Sandrine, Lewis, Cathryn M., and Powell, Timothy R.

Subjects
Psychiatry, Aging, Telomeres, Polygenic risk score, antidepressants, polygenic risk score, aging, Genetics, Antidepressants, telomeres, psychiatry, Original Research
Abstract

Background: Previous studies have revealed associations between psychiatric disorder diagnosis and shorter telomere length. Here, we attempt to discern whether genetic risk for psychiatric disorders, or use of pharmacological treatments (i.e., antidepressants), predict shorter telomere length and risk for aging-related disease in a United Kingdom population sample. Methods: DNA samples from blood were available from 351 participants who were recruited as part of the South East London Community Health (SELCoH) Study, and for which whole-genome genotype data was available. Leukocyte telomere length was characterized using quantitative polymerase chain reactions. Individualized polygenic risk scores for major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SCZ) were calculated using Psychiatric Genomics Consortium summary statistics. We subsequently performed linear models, to discern the impact polygenic risk for psychiatric disorders (an etiological risk factor) and antidepressant use (common pharmacological treatment) have on telomere length, whilst accounting for other lifestyle/health factors (e.g., BMI, smoking). Results: There were no significant associations between polygenic risk for any of the psychiatric disorders tested and telomere length (p > 0.05). Antidepressant use was significantly associated with shorter telomere length and this was independent from a depression diagnosis or current depression severity (p ≤ 0.01). Antidepressant use was also associated with a significantly higher risk of aging-related disease, which was independent from depression diagnosis (p ≤ 0.05). Conclusion: Genetic risk for psychiatric disorders is not associated with shorter telomere length. Further studies are now needed to prospectively characterize if antidepressant use increases risk for aging-related disease and telomere shortening, or whether people who age faster and have aging-related diseases are just more likely to be prescribed antidepressants.

Published
2018

25. Exome localization of complex disease association signals

Author

Lewis Cathryn M, Lehne Benjamin, and Schlitt Thomas

Subjects
Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Background Genome-wide association studies (GWAS) of common diseases have had a tremendous impact on genetic research over the last five years; the field is now moving from microarray-based technology towards next-generation sequencing. To evaluate the potential of association studies for complex diseases based on exome sequencing we analysed the distribution of association signal with respect to protein-coding genes based on GWAS data for seven diseases from the Wellcome Trust Case Control Consortium. Results We find significant concentration of association signal in exons and genes for Crohn's Disease, Type 1 Diabetes and Bipolar Disorder, but also observe enrichment from up to 40 kilobases upstream to 40 kilobases downstream of protein-coding genes for Crohn's Disease and Type 1 Diabetes; the exact extent of the distribution is disease dependent. Conclusions Our work suggests that exome sequencing may be a feasible approach to find genetic variation associated with complex disease. Extending the exome sequencing to include flanking regions therefore promises further improvement of covering disease-relevant variants.

Published
2011
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26. Delineating the Genetic Component of Gene Expression in Major Depression.

Author

Dall'Aglio, Lorenza, Lewis, Cathryn M., and Pain, Oliver

Subjects
*GENE expression, *GENES, *PITUITARY gland, *CAUSAL models
Abstract

Major depression (MD) is determined by a multitude of factors including genetic risk variants that regulate gene expression. We examined the genetic component of gene expression in MD by performing a transcriptome-wide association study (TWAS), inferring gene expression–trait relationships from genetic, transcriptomic, and phenotypic information. Genes differentially expressed in depression were identified with the TWAS FUSION method, based on summary statistics from the largest genome-wide association analysis of MD (n = 135,458 cases, n = 344,901 controls) and gene expression levels from 21 tissue datasets (brain; blood; thyroid, adrenal, and pituitary glands). Follow-up analyses were performed to extensively characterize the identified associations: colocalization, conditional, and fine-mapping analyses together with TWAS-based pathway investigations. Transcriptome-wide significant differences between cases and controls were found at 94 genes, approximately half of which were novel. Of the 94 significant genes, 6 represented strong, colocalized, and potentially causal associations with depression. Such high-confidence associations include NEGR1, CTC-467M3.3, TMEM106B, LRFN5, ESR2, and PROX2. Lastly, TWAS-based enrichment analysis highlighted dysregulation of gene sets for, among others, neuronal and synaptic processes. This study sheds further light on the genetic component of gene expression in depression by characterizing the identified associations, unraveling novel risk genes, and determining which associations are congruent with a causal model. These findings can be used as a resource for prioritizing and designing subsequent functional studies of MD. [ABSTRACT FROM AUTHOR]

Published
2021
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27. The Relationship Between Mental Health, Disease Severity, and Genetic Risk for Depression in Early Rheumatoid Arthritis

Author

Euesden, Jack, Matcham, Faith, Hotopf, Matthew, Steer, Sophia, Cope, Andrew P., Lewis, Cathryn M., and Scott, Ian C.

Subjects
rheumatoid arthritis, RF = rheumatoid factor, Adult, MH = mental health, PGA = patient global assessment, GWAS = genome-wide association study, Severity of Illness Index, Arthritis, Rheumatoid, CBT = cognitive-behavioral therapy, MCS = mental component summary score, Outcome Assessment, Health Care, REC = Research Ethics Committee, Humans, genetics, pain, HAQ = health assessment questionnaire, wGRS = weighted genetic risk score, Aged, Depressive Disorder, Major, MAF = minor allele frequency, HRQoL = health-related quality of life, SJC = swollen joint count, CARDERA = Combination Anti-Rheumatic Drugs in Early RA, pT = p value threshold, SF-36 = short form-36, VAS = visual analog scale, Original Articles, Middle Aged, Arthralgia, RCT = randomized controlled trial, SE = standard error, Mental Health, disability, RA = rheumatoid arthritis, LOCF = last observation carried forward, TJC = tender joint count, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, ESR = erythrocyte sedimentation rate, DAS28 = disease activity score on a 28-joint count, MDD = major depressive disorder, SNP = single nucleotide polymorphism, disease activity, HWE = Hardy-Weinberg equilibrium
Abstract

Supplemental digital content is available in the text., Objective Reduced mental health (MH) is prevalent in rheumatoid arthritis (RA). Although longitudinal studies are limited, there is evidence that depression is associated with worse disease outcomes. We evaluated reciprocal relationships between MH, RA severity, and genetic risks for depression for 2 years in a well-characterized cohort of RA patients. Methods We evaluated 520 early RA patients previously enrolled to two clinical trials. MH was measured using the short form-36 MH domain and mental component summary scores (MCS). MCS/MH associations over 2 years with disease activity (disease activity score on a 28-joint count), disability (health assessment questionnaire), pain visual analog scale scores, and a weighted genetic risk score for depression were tested using linear mixed-effects and regression models. Results Poorer MH was associated with worse RA outcomes. Lower MCS scores (indicating worse MH) were seen in patients with a greater genetic risk for depression (weighted genetic risk score: coefficient = −1.21, p = .013). Lower baseline MCS was associated with lower 2-year improvements in disease activity score on a 28-joint count (coefficient = −0.02, p < .001), pain (coefficient = −0.33, p < .001), and health assessment questionnaire (coefficient = −0.01, p = .006). Baseline MCS was associated with changes in the swollen joint count (coefficient = −0.09, p < .001) and patient global assessment (coefficient = −0.28, p < .001) but not the tender joint count (p = .983) and erythrocyte sedimentation rate (p = .973). Only baseline pain visual analog scale (coefficient = −0.07, p = .002) was associated with 2-year changes in MCS. Conclusions Reduced baseline MH was associated with lower improvements in disease activity, disability, and pain for 2 years, supporting current national guidelines recommending screening for depression in RA. Pain had a bidirectional relationship with MH. Depression genetic risk had a significant association with MH.

Published
2017

28. Hair cortisol in twins:heritability and genetic overlap with psychological variables and stress-system genes

Author

Rietschel, Liz, Streit, Fabian, McGrath, John, Davies, Gareth, Davies, Gail, de Geus, Eco J C, De Jager, Philip, Deary, Ian J, Degenhardt, Franziska, Dunn, Erin C, Ehli, Erik A, Eley, Thalia C, Escott-Price, Valentina, Hickie, Ian B, Esko, Tõnu, Finucane, Hilary K, Gill, Michael, Gordon, Scott D, Grove, Jakob, Hall, Lynsey S, Hansen, Thomas F, Søholm Hansen, Christine, Heath, Andrew C, Hansell, Narelle K, Henders, Anjali K, Herms, Stefan, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke- Jan, Hougaard, David, Huang, Hailiang, Ising, Marcus, Jansen, Rick, Wright, Margaret J, Jorgenson, Eric, Kloiber, Stefan, Knowles, James A, Kretzschmar, Warren W, Krogh, Jesper, Kutalik, Zoltán, Lang, Maren, Lewis, Glyn, Li, Yihan, MacIntyre, Donald J, Gillespie, Nathan A, Madden, Pamela Af, Marchine, Jonathan, Mbarek, Hamdi, McGuffin, Peter, Mehta, Divya, Metspalu, Andres, Middeldorp, Christel M, Mihailov, Evelin, Milani, Lili, Montgomery, Grant W, Forstner, Andreas J, Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nordentoft, Merete, Nyholt, Dale R, O'Donovan, Michael C, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Schulze, Thomas G, Paciga, Sara A, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Pedersen, Nancy L, Pergadia, Michele L, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Porteous, David J, Posthuma, Danielle, Wüst, Stefan, Potash, James B, Quiroz, Jorge A, Rice, John P, Riley, Brien P, Rivera, Margarita, Ruderfer, Douglas M, Saeed Mirza, Saira, Schoevers, Robert, Shen, Ling, Shi, Jianxin, Nöthen, Markus M, Sigurdsson, Engilbert, Sinnamon, Grant Cb, Smit, Johannes H, Smith, Daniel J, Smoller, Jordan W, Stephansson, Hreinn, Steinberg, Stacy, Strohmaier, Jana, Tansey, Katherine E, Teumer, Alexander, Baumgartner, Markus R, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Treutlein, Jens, Trzaskowski, Maciej, Umbricht, Daniel, van der Auwera, Sandra, van Grootheest, Gerard, van Hemert, Albert M, Viktorin, Alexander, Zhu, Gu, Walker, Brian R, Völzke, Henry, Wang, Yunpeng, Webb, Bradley T, Weissman, Myrna M, Wellmann, Jürgen, Willemsen, Gonneke, Xi, Hualin S, Baune, Bernhard T, Blackwood, Douglas H R, Boomsma, Dorret I, Crawford, Andrew A, Børglum, Anders D, Buttenschøn, Henriette N, Cichon, Sven, Domenici, Enrico, Flint, Jonathan, Grabe, Hans J, Hamilton, Steven P, Kendler, Kenneth S, Li, Qingqin S, Lucae, Susanne, Colodro-Conde, Lucía, Magnusson, Patrik K, McIntosh, Andrew M, Mors, Ole, Bo Mortensen, Preben, Müller-Myhsok, Bertram, Penninx, Brenda Wjh, Perlis, Roy H, Preisig, Martin, Schaefer, Catherine, Medland, Sarah E, Stephansson, Kari, Tiemeier, Henning, Uher, Rudolf, Werge, Thomas, Winslow, Ashley R, Breen, Gerome, Levinson, Douglas F, Lewis, Cathryn M, Wray, Naomi R, Sullivan, Patrick F, Martin, Nicholas G, Rietschel, Marcella, Bolton, Jennifer L, Hayward, Caroline, Direk, Nese, Anderson, Anna, McAloney, Kerrie, Huffman, Jennifer, Wilson, James F, Campbell, Harry, Rudan, Igor, Wright, Alan, Hastie, Nicholas, Wild, Sarah H, Velders, Fleur P, Hofman, Albert, Uitterlinden, Andre G, Frank, Josef, Lahti, Jari, Räikkönen, Katri, Kajantie, Eero, Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G, Kaakinen, Marika, Järvelin, Marjo-Riitta, Timpson, Nicholas J, Davey Smith, George, Couvy-Duchesne, Baptiste, Ring, Susan M, Evans, David M, St Pourcain, Beate, Tanaka, Toshiko, Milaneschi, Yuri, Bandinelli, Stefania, Ferrucci, Luigi, van der Harst, Pim, Rosmalen, Judith Gm, Bakker, Stephen Jl, Witt, Stephanie H, Verweij, Niek, Dullaart, Robin Pf, Mahajan, Anubha, Lindgren, Cecilia M, Morris, Andrew, Lind, Lars, Ingelsson, Erik, Anderson, Laura N, Pennell, Craig E, Lye, Stephen J, Binz, Tina M, Matthews, Stephen G, Eriksson, Joel, Mellstrom, Dan, Ohlsson, Claes, Price, Jackie F, Strachan, Mark Wj, Reynolds, Rebecca M, Ripke, Stephan, Mattheisen, Manuel, CORtisolNETwork, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till Fm, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan Tf, Bennett, David A, Berger, Klaus, Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Bigdeli, Tim B, Bybjerg-Grauholm, Jonas, Byrne, Enda M, Cai, Na, Castelao, Enrique, Clarke, Toni-Kim, Coleman, Jonathan Ri, Consortium, Converge, Craddock, Nick, Dannlowski, Udo, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, Internal medicine, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Methodology, APH - Digital Health, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, University of Zurich, Rietschel, Liz, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, and APH - Personalized Medicine

Subjects
Male, Oncology, Netherlands Twin Register (NTR), Multifactorial Inheritance, Hydrocortisone, lcsh:Medicine, 340 Law, Genome-wide association study, 3124 Neurology and psychiatry, 0302 clinical medicine, Twins, Dizygotic, SOCIOECONOMIC-STATUS, Young adult, lcsh:Science, Child, 610 Medicine & health, Genetics, Multidisciplinary, Depression, PSYCHIATRIC-DISORDERS, 10218 Institute of Legal Medicine, Neuroticism, DEPRESSIVE SYMPTOMS, MORNING CORTISOL, Female, FUTURE-DIRECTIONS, Adult, medicine.medical_specialty, Cortisol awakening response, Adolescent, PERCEIVED STRESS, Biology, Genetic correlation, Article, LONG-TERM CORTISOL, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Journal Article, Humans, neoplasms, Behavioural genetics, 1000 Multidisciplinary, Models, Genetic, lcsh:R, Twins, Monozygotic, ADRENAL AXIS ACTIVITY, MAJOR DEPRESSION, Heritability, Twin study, R1, digestive system diseases, 030227 psychiatry, ddc:000, INTRAINDIVIDUAL STABILITY, lcsh:Q, Stress, Psychological, 030217 neurology & neurosurgery, Hair
Abstract

Hair cortisol concentration (HCC) is a promising measure of long-term hypothalamus-pituitary-adrenal (HPA) axis activity. Previous research has suggested an association between HCC and psychological variables, and initial studies of inter-individual variance in HCC have implicated genetic factors. However, whether HCC and psychological variables share genetic risk factors remains unclear. The aims of the present twin study were to: (i) assess the heritability of HCC; (ii) estimate the phenotypic and genetic correlation between HPA axis activity and the psychological variables perceived stress, depressive symptoms, and neuroticism; using formal genetic twin models and molecular genetic methods, i.e. polygenic risk scores (PRS). HCC was measured in 671 adolescents and young adults. These included 115 monozygotic and 183 dizygotic twin-pairs. For 432 subjects PRS scores for plasma cortisol, major depression, and neuroticism were calculated using data from large genome wide association studies. The twin model revealed a heritability for HCC of 72%. No significant phenotypic or genetic correlation was found between HCC and the three psychological variables of interest. PRS did not explain variance in HCC. The present data suggest that HCC is highly heritable. However, the data do not support a strong biological link between HCC and any of the investigated psychological variables. Consortia CORtisolNETwork (CORNET) Consortium Jennifer L. Bolton21 Caroline Hayward23 Nese Direk24,25 Anna Anderson21 Jennifer Huffman23 James F. Wilson26 Harry Campbell26 Igor Rudan26 Alan Wright23 Nicholas Hastie23 Sarah H. Wild26 Fleur P. Velders24 Albert Hofman24 Andre G. Uitterlinden24,27 Jari Lahti28 Katri Räikkönen28 Eero Kajantie29 Elisabeth Widen30 Aarno Palotie30,31 Johan G. Eriksson29,32,33,34,35 Marika Kaakinen36 Marjo-Riitta Järvelin36,37,38,39 Nicholas J. Timpson40 George Davey Smith40 Susan M. Ring41 David M. Evans40 Beate St Pourcain41 Toshiko Tanaka42 Yuri Milaneschi42,43 Stefania Bandinelli44 Luigi Ferrucci42 Pim van der Harst45,46,47 Judith GM Rosmalen48 Stephen JL Bakker49 Niek Verweij45 Robin PF Dullaart49 Anubha Mahajan50 Cecilia M. Lindgren50 Andrew Morris50 Lars Lind51 Erik Ingelsson51 Laura N. Anderson52 Craig E. Pennell53 Stephen J. Lye52 Stephen G. Matthews54 Joel Eriksson55 Dan Mellstrom55 Claes Ohlsson55 Jackie F. Price26 Mark WJ Strachan21 Rebecca M. Reynolds21 Henning Tiemeier24,56,57 Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (PGC) Stephan Ripke58,59,60 Manuel Mattheisen61,62,63 Abdel Abdellaoui64 Mark J. Adams65 Esben Agerbo66,8,67 Tracy M. Air68 Till FM Andlauer69,70 Silviu-Alin Bacanu71 Marie Bækvad-Hansen67,72 Aartjan TF Beekman43 David A. Bennett73 Klaus Berger74 Tim B. Bigdeli71,11 Jonas Bybjerg-Grauholm67,72 Enda M. Byrne5 Na Cai75 Enrique Castelao76 Toni-Kim Clarke65 Jonathan RI Coleman77 Converge Consortium78 Nick Craddock79 Udo Dannlowski80,81 Gareth Davies82 Gail Davies83 Eco. J. C. de Geus64,84 Philip De Jager85 Ian J. Deary83 Franziska Degenhardt12,13 Erin C. Dunn86,87,88 Erik A. Ehli82 Thalia C. Eley77 Valentina Escott-Price89 Tõnu Esko58,90,91,92 Hilary K. Finucane93,94 Michael Gill95 Scott D. Gordon96 Jakob Grove61,62,67,97 Lynsey S. Hall65,98 Thomas F. Hansen99,100 Christine Søholm Hansen67,72 Thomas F. Hansen101 Andrew C. Heath102 Anjali K. Henders5 Stefan Herms12,13,15 Per Hoffmann12,13,15 Georg Homuth103 Carsten Horn104 Jouke- Jan Hottenga64 David Hougaard67,72 Hailiang Huang59,86,105 Marcus Ising106 Rick Jansen43 Eric Jorgenson107 Stefan Kloiber108,109 James A Knowles110 Warren W. Kretzschmar50 Jesper Krogh111 Zoltán Kutalik112,113 Maren Lang3 Glyn Lewis114 Yihan Li50 Donald J. MacIntyre115,116 Pamela AF Madden102 Jonathan Marchine117 Hamdi Mbarek118,64 Peter McGuffin77 Divya Mehta119 Andres Metspalu92,120 Christel M. Middeldorp64 Evelin Mihailov92,121 Lili Milani92 Grant W. Montgomery122 Sara Mostafavi123,124 Niamh Mullins77 Matthias Nauck125,126 Bernard Ng124 Merete Nordentoft67,127 Dale R. Nyholt128 Michael C. O’Donovan129 Paul F. O’Reilly77 Hogni Oskarsson130 Michael J. Owen129 Sara A. Paciga131 Carsten Bøcker Pedersen66,67,8 Marianne Giørtz Pedersen66,67,8 Nancy L. Pedersen132 Michele L. Pergadia133 Roseann E. Peterson11,71 Erik Pettersson134 Wouter J. Peyrot43 David J. Porteous135 Danielle Posthuma136,137 James B. Potash138 Jorge A. Quiroz139 John P. Rice102 Brien P. Riley71 Margarita Rivera77,140 Douglas M. Ruderfer141 Saira Saeed Mirza24 Robert Schoevers142 Ling Shen107 Jianxin Shi143 Engilbert Sigurdsson144 Grant CB Sinnamon145 Johannes H. Smit43 Daniel J. Smith146 Jordan W. Smoller86 Hreinn Stephansson147 Stacy Steinberg147 Jana Strohmaier3 Katherine E. Tansey148 Alexander Teumer149 Wesley Thompson100,135,150,151,152 Pippa A. Thomson135 Thorgeir E. Thorgeirsson147 Jens Treutlein3 Maciej Trzaskowski153 Daniel Umbricht154 Sandra van der Auwera155 Gerard van Grootheest43 Albert M. van Hemert156 Alexander Viktorin132 Henry Völzke149 Yunpeng Wang67,100,151 Bradley T. Webb157 Myrna M. Weissman158,159 Jürgen Wellmann74 Gonneke Willemsen64 Hualin S. Xi160 Bernhard T. Baune68 Douglas H. R. Blackwood65 Dorret I. Boomsma64 Anders D. Børglum61,62,67 Henriette N. Buttenschøn62,67,161 Sven Cichon12,162,163,164 Enrico Domenici165 Jonathan Flint50,166 Hans J. Grabe155 Steven P. Hamilton167 Kenneth S. Kendler71 Qingqin S. Li168 Susanne Lucae106 Patrik K. Magnusson132 Andrew M. McIntosh65,83 Ole Mors67,169 Preben Bo Mortensen62,8,67 Bertram Müller-Myhsok69,70,170 Brenda WJH Penninx43 Roy H. Perlis87,171 Martin Preisig76 Catherine Schaefer107 Jordan W. Smoller87,88 Kari Stephansson147 Henning Tiemeier24,56,57 Rudolf Uher172 Thomas Werge100,150,173 Ashley R. Winslow174,175 Gerome Breen77,176 Douglas F. Levinson177 Cathryn M. Lewis77,178 Naomi R. Wray5,153 Patrick F. Sullivan134,179,180 23MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK. 24Department of Epidemiology, Erasmus Medical Centre, Rotterdam, Netherlands. 25Psychiatry, Dokuz Eylul University School Of Medicine, Izmir, TR, Turkey. 26Centre for Population Health Sciences, Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH8 9AG, UK. 27Internal Medicine, Erasmus MC, Rotterdam, NL, Netherlands. 28Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland. 29National Institute for Health and Welfare, Helsinki, Finland. 30Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland. 31Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland. 32Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland. 33Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland. 34Folkhalsan Research Centre, Helsinki, Finland. 35Vasa Central Hospital, Vasa, Finland. 36Institute of Health Sciences and Biocenter Oulu, University of Oulu, Oulu, Finland. 37Department of Children and Yond People and Families, National Institute for Health and elfare, Oulu, Finland. 38Department of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, Imperial College London, London, UK. 39Unit of Primary Care, Oulu University Hospital, Oulu, Finland. 40MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK. 41School of Social and Community Medicine, University of Bristol, Bristol, UK. 42Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, Baltimore, MD, USA. 43Department of Psychiatry, VU University Medical Center/GGZ inGeest, Amsterdam, Netherlands. 44Geriatric Unit, ASF, Florence, Italy. 45University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, Netherlands. 46University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, Netherlands. 47Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Netherlands. 48University of Groningen, University Medical Center Groningen, Interdisciplinary Center for Psychiatric Epidemiology, Groningen, Netherlands. 49University of Groningen, University Medical Center Groningen, Department of Internal Medicine, Groningen, Netherlands. 50Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. 51Department of Medical Sciences, Uppsala University, Uppsala, Sweden. 52Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada. 53School of Women’s and Infant’s Health, The University of Western Australia, Crawley, Australia. 54Department of Physiology, University of Toronto, Toronto, Ontario, Canada. 55Center for Bone and Arthritis Research, Institute of Medicin, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. 56Child and Adolescent Psychiatry, Erasmus MC, Rotterdam, Netherlands. 57Psychiatry, Erasmus MC, Rotterdam, Netherlands. 58Medical and Population Genetics, Broad Institute, Cambridge, USA. 59Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, USA. 60Department of Psychiatry and Psychotherapy, Universitätsmedizin Berlin Campus Charité Mitte, Berlin, Germany. 61Department of Biomedicine, Aarhus University, Aarhus, Denmark. 62iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark. 63iSPYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark. 64Dept of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands. 65Division of Psychiatry, University of Edinburgh, Edinburgh, UK. 66Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark. 67iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark. 68Discipline of Psychiatry, University of Adelaide, Adelaide, Australia. 69Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany. 70Munich Cluster for Systems Neurology (SyNergy), Munich, Germany. 71Department of Psychiatry, Virginia Commonwealth University, Richmond, USA. 72Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark. 73Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, USA. 74Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, UK. 75Human Genetics, Wellcome Trust Sanger Institute, Cambridge, UK. 76Department of Psychiatry, University Hospital of Lausanne, Prilly, Switzerland. 77MRC Social Genetic and Developmental Psychiatry Centre, King’s College London, London, UK. 78University of Oxford, Oxford, UK. 79Psychological Medicine, Cardiff University, Cardiff, UK. 80Department of Psychiatry, University of Marburg, Marburg, Germany. 81Department of Psychiatry, University of Münster, Münster, Germany. 82Avera Institute for Human Genetics, Sioux Falls, USA. 83Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK. 84EMGO+ Institute, VU University Medical Center, Amsterdam, Netherlands. 85Neurology, Brigham and Women’s Hospital, Boston, USA. 86Stanley Center for Psychiatric Research, Broad Institute, Cambridge, USA. 87Department of Psychiatry, Massachusetts General Hospital, Boston, USA. 88Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, USA. 89Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK. 90Division of Endocrinology, Children’s Hospital Boston, Boston, USA. 91Department of Genetics, Harvard Medical School, Boston, USA. 92Estonian Genome Center, University of Tartu, Tartu, Estonia. 93Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA. 94Department of Mathematics, Massachusetts Institute of Technology, Cambridge, USA. 95Department of Psychiatry, Trinity College Dublin, Dublin, Ireland. 96Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia. 97Bioinformatics Research Centre (BiRC), Aarhus University, Aarhus, Denmark. 98Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK. 99Danish Headache Centre, Department of Neurology, Rigshospitalet Glostrup, Glostrup, Denmark. 100Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Capital Region of Denmark, Roskilde, Denmark. 101iPSYCH, The Lundbeck Foundation Initiative for Psychiatric Research, Copenhagen, Denmark. 102Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, USA. 103Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany. 104Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland. 105Department of Medicine, Harvard Medical School, Boston, USA. 106Max Planck Institute of Psychiatry, Munich, Germany. 107Division of Research, Kaiser Permanente Northern California, Oakland, USA. 108Centre for Addiction and Mental Health, Toronto, Canada. 109Department of Psychiatry, University of Toronto, Toronto, Canada. 110Psychiatry & The Behavioral Sciences, University of Southern California, Los Angeles, USA. 111Department of Endocrinology at Herlev University Hospital, University of Copenhagen, Copenhagen, Denmark. 112Swiss Institute of Bioinformatics, Lausanne, Switzerland. 113Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland. 114Division of Psychiatry, University College London, London, UK. 115Mental Health NHS 24, Glasgow, UK. 116Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. 117Statistics, University of Oxford, Oxford, UK. 118EMGO+ Institute for Health and Care Research, Amsterdam, Netherlands. 119School of Psychology and Counseling, Queensland University of Technology, Brisbane, Australia. 120Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia. 121Estonian Biocentre, Tartu, Estonia. 122Institute for Molecular Biology, University of Queensland, Brisbane, Australia. 123Medical Genetics, University of British Columbia, Vancouver, Canada. 124Statistics, University of British Columbia, Vancouver, Canada. 125DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Matthias Nauck, Greifswald, Germany. 126Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany. 127Mental Health Centre Copenhagen, Copenhagen Universtity Hospital, Copenhagen, Denmark. 128Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. 129MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK. 130Humus, Reykjavik, Iceland. 131Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Groton, USA. 132Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 133Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, USA. 134Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 135Medical Genetics Section, CGEM, IGMM, University of Edinburgh, Edinburgh, UK. 136Complex Trait Genetics, VU University Amsterdam, Amsterdam, Netherlands. 137Clinical Genetics, VU University Medical Center, Amsterdam, Netherlands. 138Psychiatry, University of Iowa, Iowa City, USA. 139Solid GT, Boston, USA. 140Department of Biochemistry and Molecular Biology II, Institute of Neurosciences, Center for Biomedical Research, University of Granada, Granada, Spain. 141Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA. 142Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands. 143Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA. 144Faculty of Medicine, Department of Psychiatry, School of Health Sciences, University of Iceland, Reykjavik, Iceland. 145School of Medicine and Dentistry, James Cook University, Townsville, Australia. 146Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK. 147deCODE Genetics/Amgen, Reykjavik, Iceland. 148College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK. 149Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany. 150iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark. 151KG Jebsen Centre for Psychosis Research, Norway Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. 152Department of Psychiatry, University of California, San Diego, San Diego, USA. 153Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia. 154Roche Pharmaceutical Research and Early Development, Neuroscience, Ophthalmology and Rare Diseases Discovery & Translational Medicine Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland. 155Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany. 156Department of Psychiatry, Leiden University Medical Center, Leiden, Netherlands. 157Virginia Institute of Psychiatric & Behavioral Genetics, Virginia Commonwealth University, Richmond, USA. 158Psychiatry, Columbia University College of Physicians and Surgeons, New York, USA. 159Division of Epidemiology, New York State Psychiatric Institute, New York, USA. 160Computational Sciences Center of Emphasis, Pfizer Global Research and Development, Cambridge, USA. 161Department of Clinical Medicine, Translational Neuropsychiatry Unit, Aarhus University, Aarhus, Denmark. 162Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany. 163Department of Biomedicine, University of Basel, Basel, CH, Switzerland. 164Division of Medical Genetics, University of Basel, Basel, CH, Switzerland. 165Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy. 166Psychiatry, University of California Los Angeles, Los Angeles, USA. 167Psychiatry, Kaiser Permanente Northern California, San Francisco, USA. 168Neuroscience Therapeutic Area, Janssen Research and Development, LLC, Titusville, USA. 169Psychosis Research Unit, Aarhus University Hospital, Risskov, Aarhus, Denmark. 170Institute of Translational Medicine, University of Liverpool, Liverpool, UK. 171Psychiatry, Harvard Medical School, Boston, USA. 172Psychiatry, Dalhousie University, Halifax, Canada. 173Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. 174Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Cambridge, USA. 175Orphan Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA. 176NIHR BRC for Mental Health, King’s College London, London, UK. 177Psychiatry & Behavioral Sciences, Stanford University, Stanford, USA. 178Department of Medical & Molecular Genetics, King’s College London, London, UK. 179Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, USA. 180Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA.

Published
2017

29. Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index

Author

Hinney, A., Kesselmeier, M., Huckins, Laura M, Hauser, Joanna, Karhunen, Leila, Meulenbelt, Ingrid, Slagboom, P Eline, Tortorella, Alfonso, Maj, Mario, Dedoussis, George, Dikeos, Dimitris, Gonidakis, Fragiskos, Tziouvas, Konstantinos, Southam, Lorraine, Tsitsika, Artemis, Papezova, Hana, Slachtova, Lenka, Martaskova, Debora, Kennedy, James L, Levitan, Robert D, Yilmaz, Zeynep, Huemer, Julia, Koubek, Doris, Merl, Elisabeth, Rayner, N William, Wagner, Gudrun, Lichtenstein, Paul, Breen, Gerome, Cohen-Woods, Sarah, Farmer, Anne, McGuffin, Peter, Cichon, Sven, Giegling, Ina, Herms, Stefan, Rujescu, Dan, Tachmazidou, Ioanna, Schreiber, Stefan, Wichmann, H-Erich, Dina, Christian, Sladek, Rob, Gambaro, Giovanni, Soranzo, Nicole, Julia, Antonio, Marsal, Sara, Rabionet, Raquel, Gaborieau, Valerie, Klump, Kelly L, Dick, Danielle M, Palotie, Aarno, Ripatti, Samuli, Widén, Elisabeth, Andreassen, Ole A, Espeseth, Thomas, Lundervold, Astri, Reinvang, Ivar, Steen, Vidar M, Hellard, Stephanie Le, Treasure, Janet, Mattingsdal, Morten, Ntalla, Ioanna, Bencko, Vladimir, Foretova, Lenka, Janout, Vladimir, Navratilova, Marie, Gallinger, Steven, Pinto, Dalila, Scherer, Stephen W, Aschauer, Harald, Lewis, Cathryn M, Carlberg, Laura, Schosser, Alexandra, Alfredsson, Lars, Ding, Bo, Klareskog, Lars, Padyukov, Leonid, Finan, Chris, Kalsi, Gursharan, Roberts, Marion, Logan, Darren W, Schmidt, Ulrike, Peltonen, Leena, Ritchie, Graham R S, Barrett, Jeff C, Estivill, Xavier, Hinney, Anke, Sullivan, Patrick F, Collier, David A, Zeggini, Eleftheria, Bulik, Cynthia M, Anderson, Carl A, Tozzi, Federica, Barrett, Jeffrey C, Floyd, James A B, Franklin, Christopher S, McGinnis, Ralph, Sambrook, Jennifer, Stephens, Jonathan, Ouwehand, Willem H, McArdle, Wendy L, iezebrink, Kirsty, Ring, Susan M, Strachan, David P, Alexander, Graeme, Conlon, Peter J, Dominiczak, Anna, Duncanson, Audrey, Hill, Adrian, Langford, Cordelia, Jall, S., Hebebrand, Johannes, Lord, Graham, Maxwell, Alexander P, Morgan, Linda, Sandford, Richard N, Sheerin, Neil, Vannberg, Frederik O, Blackburn, Hannah, Chen, Wei-Min, Edkins, Sarah, Gorwood, Philip, Gillman, Mathew, Gray, Emma, Hunt, Sarah E, Nengut-Gumuscu, Suna, Potter, Simon, Rich, Stephen S, Simpkin, Douglas, Whittaker, Pamela, Heid, I. M., Winkler, T. W., Adan, Roger A H, de Bakker, P., Bültmann, U., Geleijnse, M., Harst, P. V., Koppelman, G., Rosmalen, J. G., van Rossum, L., Smidt, H., Swertz, M. A., Stolk, R. P., Kas, Martien J H, Alizadeh, B., de Boer, R., Boezen, H. M., Bruinenberg, M., Franke, L., van der Harst, P., Hillege, H., van der Klauw, M., Navis, G., Ormel, J., Favaro, Angela, Postma, D., Rosmalen, J., Slaets, J., Snieder, H., Stolk, R., Wolffenbuttel, B., Wijmenga, C., Berg, J., Blackwood, D., Campbell, H., Santonastaso, Paolo, Cavanagh, J., Connell, J., Connor, M., Cunningham-Burley, S., Deary, I., Dominiczak, A., Ellis, P., FitzPatrick, B., Ford, I., Gertz, R., Fernández-Aranda, Fernando, Grau, A., Haddow, G., Jackson, C., Kerr, S., Lindsay, R., McGilchrist, M., McIntyre, D., Morris, A., Morton, R., Muir, W., Gratacos, Monica, Murray, G., Palmer, C., Pell, J., Philp, A., Porteous, D., Porteous, M., Procter, R., Ralston, S., Reid, D., Sinnott, R., Rybakowski, Filip, Smith, B., Clair, D. S., Sullivan, F., Sweetland, M., Ure, J., Watt, G., Wolf, R., Wright, A., Berndt, S. I., Gustafsson, S., Dmitrzak-Weglarz, Monika, Mägi, R., Ganna, A., Wheeler, E., Feitosa, M. F., Justice, A. E., Monda, K. L., Croteau- Chonka, D. C., Day, F. R., Esko, T., Fall, T., Volckmar, A-L, Kaprio, Jaakko, Ferreira, T., Gentilini, D., Jackson, A. U., Luan, J., Randall, J. C., Vedantam, S., Willer, C. J., Wood, A. R., Workalemahu, T., Keski-Rahkonen, Anna, Hu, Y. J., Lee, S. H., Liang, L., Lin, D. Y., Min, J. L., Neale, B. M., Thorleifsson, G., Yang, J., Albrecht, E., Amin, N., Raevuori-Helkamaa, Anu, Bragg-Gresham, J. L., Cadby, G., den Heijer, M., Eklund, N., Fischer, K., Goel, A., Hottenga, J. J., Huffman, J. E., Jarick, I., Johansson, A., Van Furth, Eric F, Johnson, T., Kanoni, S., Kleber, M. E., König, I. R., Kristiansson, K., Kutalik, Z., Lamina, C., Lecoeur, C., Li, G., Mangino, M., Slof-Op't Landt, Margarita C T, McArdle, W. L., Medina-Gomez, C., Müller-Nurasyid, M., Ngwa, J. S., Nolte, I. M., Paternoster, L., Pechlivanis, S., Perola, M., Peters, M. J., Preuss, M., Hudson, James I, Rose, L. M., Shi, J., Shungin, D., Smith, A. V., Strawbridge, R. J., Surakka, I., Teumer, A., Trip, M. D., Tyrer, J., Van Vliet- Ostaptchouk, J. V., Reichborn-Kjennerud, Ted, Vandenput, L., Waite, L. L., Zhao, J. H., Absher, D., Asselbergs, F. W., Atalay, M., Attwood, A. P., Balmforth, A. J., Basart, H., Beilby, J., Knudsen, Gun Peggy S, Bonnycastle, L. L., Brambilla, P., Chasman, D. I., Chines, P. S., Collins, F. S., Connell, J. M., Cookson, W., de Faire, U., Monteleone, Palmiero, de Vegt, F., Dei, M., Dimitriou, M., Edkins, S., Estrada, K., Evans, D. M., Farrall, M., Ferrario, M. M., Ferrières, J., Kaplan, Allan S, Frau, F., Gejman, P. V., Grallert, H., Grönberg, H., Gudnason, V., Hall, A. S., Hall, P., Hartikainen, A. L., Hayward, C., Heard-Costa, N. L., Föcker, M., Karwautz, Andreas, Heath, A. C., Hebebrand, J., Homuth, G., Hu, F. B., Hunt, S. E., Hyppönen, E., Iribarren, C., Jacobs, K. B., Jansson, J. O., Jula, A., Hakonarson, Hakon, Kähönen, M., Kathiresan, S., Kee, F., Khaw, K. T., Kivimaki, M., Koenig, W., Kraja, A. T., Kumari, M., Kuulasmaa, K., Kuusisto, J., Berrettini, Wade H, Laitinen, J. H., Lakka, T. A., Langenberg, C., Launer, L. J., Lind, L., Lindström, J., Liu, J., Liuzzi, A., Lokki, M. L., Lorentzon, M., Guo, Yiran, Madden, P. A., Magnusson, P. K., Manunta, P., Marek, D., März, W., Mateo Leach, I., McKnight, B., Medland, S. E., Mihailov, E., Milani, L., Li, Dong, Montgomery, G. W., Mooser, V., Mühleisen, T. W., Munroe, P. B., Musk, A. W., Narisu, N., Nicholson, G., Nohr, E. A., Ong, K. K., Schork, Nicholas J, Oostra, B. A., Palmer, C. N., Palotie, A., Peden, J. F., Pedersen, N., Peters, A., Polasek, O., Pouta, A., Pramstaller, P. P., Prokopenko, I., Komaki, Gen, Pütter, C., Radhakrishnan, A., Raitakari, O., Rendon, A., Rivadeneira, F., Rudan, I., Saaristo, T. E., Sambrook, J. G., Sanders, A. R., Sanna, S., Ando, Tetsuya, Saramies, J., Schipf, S., Schreiber, S., Schunkert, H., Shin, S. Y., Signorini, S., Sinisalo, J., Skrobek, B., Soranzo, N., Stancakova, A., Inoko, Hidetoshi, Stark, K., Stephens, J. C., Stirrups, K., Stumvoll, M., Swift, A. J., Theodoraki, E. V., Thorand, B., Tregouet, D. A., Tremoli, E., Esko, Tõnu, Van der Klauw, M. M., van Meurs, J. B., Vermeulen, S. H., Viikari, J., Virtamo, J., Vitart, V., Waeber, G., Wang, Z., Widen, E., Wild, S. H., Antel, J., Fischer, Krista, Willemsen, G., Winkelmann, B. R., Witteman, J. C., Wolffenbuttel, B. H., Wong, A., Wright, A. F., Zillikens, M., Amouyel, P., Boehm, B. O., Boerwinkle, E., Männik, Katrin, Boomsma, D. I., Caulfield, M. J., Chanock, S. J., Cupples, L., Cusi, D., Dedoussis, G. V., Erdmann, J., Eriksson, J. G., Franks, P. W., Froguel, P., Metspalu, Andres, Gieger, C., Gyllensten, U., Hamsten, A., Harris, T. B., Hengstenberg, C., Hicks, A. A., Hingorani, A., Hofman, A., Hovingh, K. G., Baker, Jessica H, Hveem, K., Illig, T., Jarvelin, M. R., Jöckel, K. H., Keinanen-Kiukaanniemi, S. M., Kiemeney, L. A., Kuh, D., Laakso, M., Lehtimäki, T., Levinson, D. F., Cone, Roger D, Martin, N. G., Metspalu, A., Morris, A. D., Nieminen, M. S., Njølstad, I., Ohlsson, C., Oldehinkel, A. J., Ouwehand, W. H., Palmer, L. J., Penninx, B., Dackor, Jennifer, Power, C., Province, M. A., Psaty, B. M., Qi, L., Rauramaa, R., Ridker, P. M., Ripatti, S., Salomaa, V., Samani, N. J., DeSocio, Janiece E, Sørensen, T. I., Spector, T. D., Stefansson, K., Tönjes, A., Tuomilehto, J., Uitterlinden, A. G., Uusitupa, M., Vollenweider, P., Wallaschofski, H., Hilliard, Christopher E, Wareham, N. J., Watkins, H., Wichmann, H, Wilson, J. F., Abecasis, G. R., Assimes, T. L., Barroso, I., Boehnke, M., Borecki, I. B., Deloukas, P., O'Toole, Julie K, Fox, C. S., Frayling, T., Groop, L. C., Haritunian, T., Hunter, D., Kaplan, R. C., Karpe, F., Moffatt, M., Mohlke, K. L., Pantel, Jacques, O'Connell, J. R., Pawitan, Y., Schadt, E. E., Schlessinger, D., Steinthorsdottir, V., Strachan, D. P., Thorsteinsdottir, U., van Duijn, C. M., Visscher, P. M., Di Blasio, A. M., Perica, Vesna Boraska, Szatkiewicz, Jin P, Hirschhorn, J. N., Lindgren, C. M., Morris, A. P., Meyre, D., Scherag, A., McCarthy, M. I., Speliotes, E. K., North, K. E., Loos, R. J., Grant, S. F. A., Taico, Chrysecolla, Adair, L. S., Ang, W., van Beijsterveldt, T., Bergen, N., Benke, K., Berry, D. J., Bradfield, J. P., Charoen, P., Zerwas, Stephanie, Coin, L., Cooper, C., Cousminer, D. L., Das, S., Davis, O. S., Elliott, P., Estivill, X., Feenstra, B., Trace, Sara E, Flexeder, C., Freathy, R. M., Gaillard, R., Geller, F., Gillman, M., Grant, S. F., Groen-Blokhuis, M., Goh, L. K., Guxens, M., Davis, Oliver S P, Hakonarson, H., Hattersley, A. T., Haworth, C. M., Hadley, D., Heinrich, J., Hocher, B., Holloway, J. W., Helder, Sietske, Holst, C., Horikoshi, M., Huikari, V., Hypponen, E., Iñiguez, C., Jaddoe, V. W., Kaakinen, M., Kilpeläinen, T. O., Bühren, Katharina, Kirin, M., Kowgier, M., Lakka, H. M., Lange, L. A., Lawlor, D. A., Lewin, A., Lindgren, C., Lindi, V., Burghardt, Roland, Maggi, R., Marsh, J., Melbye, M., Middeldorp, C., Millwood, I., Mook-Kanamori, D. O., Murray, J. C., Nivard, M., de Zwaan, Martina, Ntalla, I., Oken, E., O'Reilly, P. F., Panoutsopoulou, K., Pararajasingham, J., Pearson, E. R., Pennell, C. E., Egberts, Karin, Price, T. S., Raitakari, O. T., Rodriguez, A., Salem, R. M., Saw, S. M., Sebert, S., Siitonen, N., Ehrlich, Stefan, Simell, O., Sovio, U., Pourcain, B. S., Sunyer, J., Taal, H. R., Teo, Y. Y., Thiering, E., Tiesler, C., Herpertz-Dahlmann, Beate, Timpson, N. J., Valcárcel, B., Warrington, N. M., White, S., Widén, E., Yaghootkar, H., Zeggini, E., Herzog, Wolfgang, Elks, C. E., Perry, J. R., Sulem, P., Franceschini, N., He, C., Lunetta, K. L., Visser, J. A., Byrne, E. M., Imgart, Hartmut, Gudbjartsson, D. F., Koller, D. L., Lin, P., Marongiu, M., McArdle, P. F., Scherag, André, Stolk, L., van Wingerden, S. H., Corre, T., Ingelsson, E., Smith, E. N., Scherag, Susann, Ulivi, S., Warrington, M., Zgaga, L., Alavere, H., Aspelund, T., Bandinelli, S., Berenson, G. S., Bergmann, S., Zipfel, Stephan, Blackburn, H., Buring, J. E., Busonero, F., Chen, W., Cornelis, M. C., Couper, D., Coviello, A. D., Boni, Claudette, d'Adamo, P., de Geus, E. J., Döring, A., Davey Smith, G., Easton, D. F., Eiriksdottir, G., Emilsson, V., Eriksson, J., Ramoz, Nicolas, Ferrucci, L., Folsom, A. R., Foroud, T., Garcia, M., Gasparini, P., Hankinson, S. E., Versini, Audrey, Ferreli, L., Hernandez, D. G., Järvelin, M. R., Johnson, A. D., Karasik, D., Brandys, Marek K, Kiel, D. P., Kolcic, I., Kraft, P., Laven, J. S., Li, S., Levy, D., Danner, Unna N, Murray, S. S., Nalls, M. A., Navarro, P., Nelis, M., Ness, A. R., Northstone, K., de Kove, Carolien, Peacock, M., Paré, G., Parker, A. N., Pedersen, N. L., Peltonen, L., Pharoah, P., Hendriks, Judith, Plump, A. S., Porcu, E., Rafnar, T., Rice, J. P., Ring, S. M., Sala, C., Koeleman, Bobby P C, Schork, N. J., Scuteri, A., Segrè, A. V., Shuldiner, A. R., Srinivasan, S. R., Ophoff, Roel A, Tammesoo, M. L., Tikkanen, E., Toniolo, D., Tsui, K., Tryggvadottir, L., Uda, M., van Dam, R. M., Strengman, Eric, Waterworth, D. M., Weedon, M. N., Wichmann, H. E., Young, L., van Elburg, Annemarie A, Zhai, G., Zhuang, W. V., Bierut, L. J., Boyd, H. A., Crisponi, L., Demerath, E. W., Econs, M. J., Hunter, D. J., Bruson, Alice, Streeten, E. A., Clementi, Maurizio, Murabito, J. M., Murray, A., Guo, Y., Bergen, A. W., Kaye, W., Berrettini, W., Brandt, Harry, Crawford, Steve, Thornton, Laura M, Degortes, Daniela, Crow, Scott, Fichter, Manfred M, Halmi, Katherine A, Johnson, Craig, Via, Maria La, Mitchell, James, Strober, Michael, Rotondo, Alessandro, Forzan, Monica, Woodside, D Blake, Keel, Pamela, Lilenfeld, Lisa, Plotnicov, Kathy, Bergen, Andrew W, Berrettini, Wade, Kaye, Walter, Tenconi, Elena, Magistretti, Pierre, Herpertz-Dahlmann, B., de Zwaan, M., Herzog, W., Ehrlich, S., Zipfel, S., Egberts, K. M., Adan, R., Brandys, M., van Elburg, A., Docampo, Elisa, Boraska Perica, V., Franklin, C. S., Tschöp, M. H., Bulik, C. M., Collier, D., Müller, T. D., Escaramí, Geòrgia, Jiménez-Murcia, Susana, Lissowska, Jolanta, Rajewski, Andrzej, Szeszenia-Dabrowska, Neonila, Slopien, Agnieszka, Hinney, A., Kesselmeier, M., Jall, S., Volckmar, A. -L., Focker, M., Antel, J., Heid, I. M., Winkler, T. W., Grant, S. F. A., Guo, Y., Bergen, A. W., Kaye, W., Berrettini, W., Hakonarson, H., Herpertz-Dahlmann, B., De Zwaan, M., Herzog, W., Ehrlich, S., Zipfel, S., Egberts, K. M., Adan, R., Brandys, M., Van Elburg, A., Boraska Perica, V., Muller, T. D., Tschop, M. H., Zeggini, E., Bulik, C. M., Collier, D., Scherag, A., Hebebrand, J., Perica, V. B., Floyd, J. A. B., Thornton, L. M., Huckins, L. M., Southam, L., Rayner, N. W., Tachmazidou, I., Klump, K. L., Treasure, J., Lewis, C. M., Schmidt, U., Tozzi, F., Iezebrink, K., Gorwood, P., Kas, M. J. H., Favaro, A., Santonastaso, P., Fernandez-Aranda, F., Gratacos, M., Rybakowski, F., Dmitrzak-Weglarz, M., Kaprio, J., Keski-Rahkonen, A., Raevuori-Helkamaa, A., Van Furth, E. F., Slof-Op't Landt, M. C. T., Hudson, J. I., Reichborn-Kjennerud, T., Knudsen, G. P. S., Monteleone, P., Kaplan, A. S., Karwautz, A., Li, D., Komaki, G., Ando, T., Inoko, H., Esko, T., Fischer, K., Mannik, K., Metspalu, A., Baker, J. H., Cone, R. D., Dackor, J., Desocio, J. E., Hilliard, C. E., O'Toole, J. K., Pantel, J., Szatkiewicz, J. P., Taico, C., Zerwas, S., Trace, S. E., Davis, O. S. P., Helder, S., Buhren, K., Burghardt, R., Imgart, H., Scherag, S., Boni, C., Ramoz, N., Versini, A., Danner, U. N., de Kove, C., Hendriks, J., Koeleman, B. P. C., Ophoff, R. A., Strengman, E., Bruson, A., Clementi, M., Degortes, D., Forzan, M., Tenconi, E., Docampo, E., Jimenez-Murcia, G. E. S., Lissowska, J., Rajewski, A., Szeszenia-Dabrowska, N., Slopien, A., Hauser, J., Karhunen, L., Meulenbelt, I., Slagboom, P. E., Tortorella, A., Maj, M., Dedoussis, G., Dedoussis, G. V., Dikeos, D., Gonidakis, F., Tziouvas, K., Tsitsika, A., Papezova, H., Slachtova, L., Martaskova, D., Kennedy, J. L., Levitan, R. D., Yilmaz, Z., Huemer, J., Koubek, D., Merl, E., Wagner, G., Lichtenstein, P., Breen, G., Cohen-Woods, S., Farmer, A., Mcguffin, P., Cichon, S., Giegling, I., Herms, S., Rujescu, D., Schreiber, S., Wichmann, H. -E., Christian, D., Sladek, R., Gambaro, G., Soranzo, N., Julia, A., Marsal, S., Rabionet, R., Gaborieau, V., Dick, D. M., Palotie, A., Ripatti, S., Widen, E., Andreassen, O. A., Espeseth, T., Lundervold, A., Reinvang, I., Steen, V. M., Le Hellard, S., Mattingsdal, M., Ntalla, I., Bencko, V., Foretova, L., Janout, V., Navratilova, M., Gallinger, S., Pinto, D., Scherer, S. W., Aschauer, H., Carlberg, L., Schosser, A., Alfredsson, L., Ding, B., Klareskog, L., Padyukov, L., Finan, C., Kalsi, G., Roberts, M., Logan, D. W., Peltonen, L., Ritchie, G. R. S., Barrett, J. C., Estivill, X., Sullivan, P. F., Anderson, C. A., Mcginnis, R., Sambrook, J., Stephens, J., Ouwehand, W. H., Mcardle, W. L., Mcardle, P. F., Ring, S. M., Strachan, D. P., Alexander, G., Conlon, P. J., Dominiczak, A., Duncanson, A., Hill, A., Langford, C., Lord, G., Maxwell, A. P., Morgan, L., Sandford, R. N., Sheerin, N., Vannberg, F. O., Chen, W. -M., Edkins, S., Gillman, M., Gray, E., Hunt, S. E., Nengut, S. -G., Potter, S., Rich, S. S., Simpkin, D., Whittaker, P., Adair, L. S., Ang, W., Atalay, M., van Beijsterveldt, T., Bergen, N., Benke, K., Berry, D. J., Boomsma, D. I., Bradfield, J. P., Charoen, P., Coin, L., Cooper, C., Cousminer, D. L., Das, S., Elliott, P., Evans, D. M., Feenstra, B., Flexeder, C., Frayling, T., Freathy, R. M., Gaillard, R., Geller, F., Groen-Blokhuis, M., Goh, L. K., Guxens, M., Hattersley, A. T., Haworth, C. M., Hadley, D., Heinrich, J., Hirschhorn, J. N., Hocher, B., Holloway, J. W., Holst, C., Hottenga, J. J., Horikoshi, M., Huikari, V., Hypponen, E., Iniguez, C., Jaddoe, V. W., Jarvelin, M. R., Kaakinen, M., Kilpelainen, T. O., Kirin, M., Kowgier, M., Lakka, H. M., Lakka, T. A., Lange, L. A., Lawlor, D. A., Lehtimaki, T., Lewin, A., Lindgren, C., Lindi, V., Maggi, R., Marsh, J., Mccarthy, M. I., Melbye, M., Middeldorp, C., Millwood, I., Mohlke, K. L., Mook-Kanamori, D. O., Murray, J. C., Nivard, M., Nohr, E. A., Oken, E., Ong, K. K., O'Reilly, P. F., Palmer, L. J., Panoutsopoulou, K., Pararajasingham, J., Pearson, E. R., Pennell, C. E., Power, C., Price, T. S., Prokopenko, I., Raitakari, O. T., Rodriguez, A., Salem, R. M., Saw, S. M., Sebert, S., Siitonen, N., Simell, O., Sorensen, T. I., Sovio, U., Pourcain, B. S., Sunyer, J., Taal, H. R., Teo, Y. Y., Thiering, E., Tiesler, C., Timpson, N. J., Uitterlinden, A. G., Valcarcel, B., Warrington, N. M., White, S., Willemsen, G., Wilson, J. F., Yaghootkar, H., Elks, C. E., Perry, J. R., Sulem, P., Chasman, D. I., Franceschini, N., He, C., Lunetta, K. L., Visser, J. A., Byrne, E. M., Gudbjartsson, D. F., Koller, D. L., Kutalik, Z., Lin, P., Mangino, M., Marongiu, M., Smith, A. V., Stolk, L., van Wingerden, S. H., Zhao, J. H., Albrecht, E., Corre, T., Ingelsson, E., Hayward, C., Magnusson, P. K., Smith, E. N., Ulivi, S., Warrington, M., Zgaga, L., Alavere, H., Amin, N., Aspelund, T., Bandinelli, S., Barroso, I., Berenson, G. S., Bergmann, S., Boerwinkle, E., Buring, J. E., Busonero, F., Campbell, H., Chanock, S. J., Cornelis, M. C., Couper, D., Coviello, A. D., D'Adamo, P., de Faire, U., de Geus, E. J., Deloukas, P., Doring, A., Davey Smith, G., Easton, D. F., Eiriksdottir, G., Emilsson, V., Eriksson, J., Ferrucci, L., Folsom, A. R., Foroud, T., Garcia, M., Gasparini, P., Gieger, C., Gudnason, V., Hall, P., Hankinson, S. E., Ferreli, L., Heath, A. C., Hernandez, D. G., Hofman, A., Hu, F. B., Illig, T., Karasik, D., Khaw, K. T., Kiel, D. P., Kolcic, I., Kraft, P., Launer, L. J., Laven, J. S., Li, S., Liu, J., Levy, D., Martin, N. G., Mooser, V., Murray, S. S., Nalls, M. A., Navarro, P., Nelis, M., Ness, A. R., Northstone, K., Oostra, B. A., Peacock, M., Pare, G., Parker, A. N., Pedersen, N. L., Pharoah, P., Polasek, O., Plump, A. S., Pouta, A., Porcu, E., Rafnar, T., Rice, J. P., Rivadeneira, F., Rudan, I., Sala, C., Salomaa, V., Sanna, S., Schlessinger, D., Scuteri, A., Segre, A. V., Shuldiner, A. R., Srinivasan, S. R., Tammesoo, M. L., Tikkanen, E., Toniolo, D., Tsui, K., Tryggvadottir, L., Tyrer, J., Uda, M., van Dam, R. M., van Meurs, J. B., Vollenweider, P., Waeber, G., Wareham, N. J., Waterworth, D. M., Weedon, M. N., Wright, A. F., Young, L., Zhai, G., Zhuang, W. V., Bierut, L. J., Boyd, H. A., Crisponi, L., Demerath, E. W., van Duijn, C. M., Econs, M. J., Harris, T. B., Hunter, D. J., Loos, R. J., Ridker, P. M., Spector, T. D., Streeten, E. A., Stefansson, K., Thorsteinsdottir, U., Murabito, J. M., Murray, A., Brandt, H., Crawford, S., Crow, S., Fichter, M. M., Halmi, K. A., Johnson, C., La Via, M., Mitchell, J., Strober, M., Rotondo, A., Woodside, D. B., Keel, P., Lilenfeld, L., Plotnicov, K., Magistretti, P., Montgomery, G. W., Blackburn, H., Schork, N. J., Hinney, Anke, Kesselmeier, Miriam, Jall, Sigrid, Volckmar, Anna-Lena, Föcker, Manuel, Hebebrand, J, GCAN, WTCCC3, GIANT, EGG, Price Foundation Collaborative Group, Children’s Hospital of Philadelphia/Price Foundation, Cardiology, Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, ACS - Atherosclerosis & ischemic syndromes, Hinney, A, Kesselmeier, M, Jall, S, Volckmar, Al, Focker, M, Antel, J, Gcan, Wtccc3, Heid, Im, Winkler, Tw, Grant, Sfa, Giant, Manunta, P, Sfa, Grant, Egg, Guo, Y, Bergen, Aw, Kaye, W, Berrettini, W, Hakonarson, H, Price Foundation Collaborative, Group, Children’s Hospital of Philadelphia/Price, Foundation, Herpertz-Dahlmann, B, de Zwaan, M, Herzog, W, Ehrlich, S, Zipfel, S, Egberts, Km, Adan, R, Brandys, M, van Elburg, A, Perica, Vb, Franklin, C, Tschop, Mh, Zeggini, E, Bulik, Cm, Collier, D, Scherag, A, Muller, Td, Animal Ecology, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Volckmar, A-L, Föcker, M, Gcan, Wtccc, Gasparini, P, D'Adamo, A, Children’S Hospital of Philadelphia/Price, Foundation, Boraska Perica, V, Tschöp, Mh, and Müller, Td

Subjects
Netherlands Twin Register (NTR), Male, Anorexia Nervosa, Genome-wide association study, Cardiovascular, Linkage Disequilibrium, Body Mass Index, 0302 clinical medicine, Databases, Genetic, WTCCC3, Aetiology, Cancer, 0303 health sciences, Loci, Genetic Predisposition to Disease/genetics, Cross-disorder, Anorèxia nerviosa, anorexia nervosa (AN), Shared, 3. Good health, Psychiatry and Mental health, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Human, Alleles, Body Weight, Female, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Obesity, Polymorphism, Single Nucleotide, Risk Factors, Molecular Biology, Psychiatry and Mental Health, Cellular and Molecular Neuroscience, medicine.medical_specialty, Locus (genetics), Single-nucleotide polymorphism, ta3111, Article, 03 medical and health sciences, Genetic, SDG 3 - Good Health and Well-being, Genetics, EGG, Polymorphism, Children’s Hospital of Philadelphia/Price Foundation, body mass index (BMI), genome-wide association meta-analysis (GWAMA), Prevention, ta1184, medicine.disease, 030104 developmental biology, Endocrinology, diagnostic markers, Body mass index, Genètica, 030217 neurology & neurosurgery, 0301 basic medicine, Linkage disequilibrium, GIANT, Medizin, Obesity/genetics, Overweight, Medical and Health Sciences, Oral and gastrointestinal, Anorexia Nervosa/genetics, 2.1 Biological and endogenous factors, Psychiatry, 2. Zero hunger, Allele, Eating disorder, Single Nucleotide, Biological Sciences, Polymorphism, Single Nucleotide/genetics, Price Foundation Collaborative Group, Stroke, psychiatric disorders, Gene Frequency/genetics, medicine.symptom, Databases, Internal medicine, Body Weight/genetics, medicine, Journal Article, Linkage Disequilibrium/genetics, ddc:610, Metabolic and endocrine, Nutrition, 030304 developmental biology, GCAN, business.industry, Risk Factor, Human Genome, Psychology and Cognitive Sciences, Bulimia nervosa, business
Abstract

The maintenance of normal body weight is disrupted in patients with anorexia nervosa (AN) for prolonged periods of time. Prior to the onset of AN, premorbid body mass index (BMI) spans the entire range from underweight to obese. After recovery, patients have reduced rates of overweight and obesity. As such, loci involved in body weight regulation may also be relevant for AN and vice versa. Our primary analysis comprised a cross-trait analysis of the 1000 single-nucleotide polymorphisms (SNPs) with the lowest P-values in a genome-wide association meta-analysis (GWAMA) of AN (GCAN) for evidence of association in the largest published GWAMA for BMI (GIANT). Subsequently we performed sex-stratified analyses for these 1000 SNPs. Functional ex vivo studies on four genes ensued. Lastly, a look-up of GWAMA-derived BMI-related loci was performed in the AN GWAMA. We detected significant associations (P-values

Published
2017

30. Genetic Associations Between Childhood Psychopathology and Adult Depression and Associated Traits in 42 998 Individuals: A Meta-analysis.

Author

Akingbuwa, Wonuola A., Hammerschlag, Anke R., Jami, Eshim S., Allegrini, Andrea G., Karhunen, Ville, Sallis, Hannah, Ask, Helga, Askeland, Ragna B., Baselmans, Bart, Diemer, Elizabeth, Hagenbeek, Fiona A., Havdahl, Alexandra, Hottenga, Jouke-Jan, Mbarek, Hamdi, Rivadeneira, Fernando, Tesli, Martin, van Beijsterveldt, Catharina, Breen, Gerome, Lewis, Cathryn M., and Thapar, Anita

Subjects
RESEARCH, GENETICS, META-analysis, RESEARCH methodology, SATISFACTION, EVALUATION research, MEDICAL cooperation, ATTENTION-deficit hyperactivity disorder, BEHAVIOR disorders, COMPARATIVE studies, MENTAL depression, RESEARCH funding, BODY mass index, INSOMNIA, SOCIAL skills, EDUCATIONAL attainment, LONGITUDINAL method, BIPOLAR disorder
Abstract

Importance: Adult mood disorders are often preceded by behavioral and emotional problems in childhood. It is yet unclear what explains the associations between childhood psychopathology and adult traits.Objective: To investigate whether genetic risk for adult mood disorders and associated traits is associated with childhood disorders.Design, Setting, and Participants: This meta-analysis examined data from 7 ongoing longitudinal birth and childhood cohorts from the UK, the Netherlands, Sweden, Norway, and Finland. Starting points of data collection ranged from July 1985 to April 2002. Participants were repeatedly assessed for childhood psychopathology from ages 6 to 17 years. Data analysis occurred from September 2017 to May 2019.Exposures: Individual polygenic scores (PGS) were constructed in children based on genome-wide association studies of adult major depression, bipolar disorder, subjective well-being, neuroticism, insomnia, educational attainment, and body mass index (BMI).Main Outcomes and Measures: Regression meta-analyses were used to test associations between PGS and attention-deficit/hyperactivity disorder (ADHD) symptoms and internalizing and social problems measured repeatedly across childhood and adolescence and whether these associations depended on childhood phenotype, age, and rater.Results: The sample included 42 998 participants aged 6 to 17 years. Male participants varied from 43.0% (1040 of 2417 participants) to 53.1% (2434 of 4583 participants) by age and across all cohorts. The PGS of adult major depression, neuroticism, BMI, and insomnia were positively associated with childhood psychopathology (β estimate range, 0.023-0.042 [95% CI, 0.017-0.049]), while associations with PGS of subjective well-being and educational attainment were negative (β, -0.026 to -0.046 [95% CI, -0.020 to -0.057]). There was no moderation of age, type of childhood phenotype, or rater with the associations. The exceptions were stronger associations between educational attainment PGS and ADHD compared with internalizing problems (Δβ, 0.0561 [Δ95% CI, 0.0318-0.0804]; ΔSE, 0.0124) and social problems (Δβ, 0.0528 [Δ95% CI, 0.0282-0.0775]; ΔSE, 0.0126), and between BMI PGS and ADHD and social problems (Δβ, -0.0001 [Δ95% CI, -0.0102 to 0.0100]; ΔSE, 0.0052), compared with internalizing problems (Δβ, -0.0310 [Δ95% CI, -0.0456 to -0.0164]; ΔSE, 0.0074). Furthermore, the association between educational attainment PGS and ADHD increased with age (Δβ, -0.0032 [Δ 95% CI, -0.0048 to -0.0017]; ΔSE, 0.0008).Conclusions and Relevance: Results from this study suggest the existence of a set of genetic factors influencing a range of traits across the life span with stable associations present throughout childhood. Knowledge of underlying mechanisms may affect treatment and long-term outcomes of individuals with psychopathology. [ABSTRACT FROM AUTHOR]

Published
2020
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31. Impute.me: An Open-Source, Non-profit Tool for Using Data From Direct-to-Consumer Genetic Testing to Calculate and Interpret Polygenic Risk Scores.

Author

Folkersen, Lasse, Pain, Oliver, Ingason, Andrés, Werge, Thomas, Lewis, Cathryn M., and Austin, Jehannine

Subjects
INTERNATIONAL Statistical Classification of Diseases & Related Health Problems, GENETIC testing, SINGLE nucleotide polymorphisms, RISK perception, GAUSSIAN distribution, INFORMATION commons, DEMAND forecasting
Abstract

To date, interpretation of genomic information has focused on single variants conferring disease risk, but most disorders of major public concern have a polygenic architecture. Polygenic risk scores (PRSs) give a single measure of disease liability by summarizing disease risk across hundreds of thousands of genetic variants. They can be calculated in any genome-wide genotype data-source, using a prediction model based on genome-wide summary statistics from external studies. As genome-wide association studies increase in power, the predictive ability for disease risk will also increase. Although PRSs are unlikely ever to be fully diagnostic, they may give valuable medical information for risk stratification, prognosis, or treatment response prediction. Public engagement is therefore becoming important on the potential use and acceptability of PRSs. However, the current public perception of genetics is that it provides "yes/no" answers about the presence/absence of a condition, or the potential for developing a condition, which in not the case for common, complex disorders with polygenic architecture. Meanwhile, unregulated third-party applications are being developed to satisfy consumer demand for information on the impact of lower-risk variants on common diseases that are highly polygenic. Often, applications report results from single-nucleotide polymorphisms (SNPs) and disregard effect size, which is highly inappropriate for common, complex disorders where everybody carries risk variants. Tools are therefore needed to communicate our understanding of genetic vulnerability as a continuous trait, where a genetic liability confers risk for disease. Impute.me is one such tool, whose focus is on education and information on common, complex disorders with polygenetic architecture. Its research-focused open-source website allows users to upload consumer genetics data to obtain PRSs, with results reported on a population-level normal distribution. Diseases can only be browsed by International Classification of Diseases , 10th Revision (ICD-10) chapter–location or alphabetically, thus prompting the user to consider genetic risk scores in a medical context of relevance to the individual. Here, we present an overview of the implementation of the impute.me site, along with analysis of typical usage patterns, which may advance public perception of genomic risk and precision medicine. [ABSTRACT FROM AUTHOR]

Published
2020
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32. Cannabis use, depression and self‐harm: phenotypic and genetic relationships.

Author

Hodgson, Karen, Coleman, Jonathan R. I., Hagenaars, Saskia P., Purves, Kirstin L., Glanville, Kylie, Choi, Shing Wan, O'Reilly, Paul, Breen, Gerome, and Lewis, Cathryn M.

Subjects
CANNABIS (Genus), MENTAL depression, SELF-mutilation, PHENOTYPES, GENETICS, MOLECULAR epidemiology, REGRESSION analysis, TISSUE banks
Abstract

Background and Aims: The use of cannabis has previously been linked to both depression and self‐harm; however, the role of genetics in this relationship is unclear. This study aimed to estimate the phenotypic and genetic associations between cannabis use and depression and self‐harm. Design Cross‐sectional data collected through UK Biobank were used to test the phenotypic association between cannabis use, depression and self‐harm. UK Biobank genetic data were then combined with consortia genome‐wide association study summary statistics to further test the genetic relationships between these traits using LD score regression, polygenic risk scoring and Mendelian randomization methods. Setting: United Kingdom, with additional international consortia data. Participants: A total of 126 291 British adults aged between 40 and 70 years, recruited into UK Biobank. Measurements Phenotypic outcomes were life‐time history of cannabis use (including initial and continued cannabis use), depression (including single‐episode and recurrent depression) and self‐harm. Genome‐wide genetic data were used and assessment centre, batch and the first six principal components were included as key covariates when handling genetic data. Findings In UK Biobank, cannabis use is associated with an increased likelihood of depression [odds ratio (OR) = 1.64, 95% confidence interval (CI) = 1.59–1.70] and self‐harm (OR = 2.85, 95% CI = 2.69–3.01). The strength of this phenotypic association is stronger when more severe trait definitions of cannabis use and depression are considered. Using consortia genome‐wide summary statistics, significant genetic correlations are seen between cannabis use and depression [rg = 0.289, standard error (SE) = 0.036]. Polygenic risk scores for cannabis use and depression explain a small but significant proportion of variance in cannabis use, depression and self‐harm within a UK Biobank target sample. However, two‐sample Mendelian randomization analyses were not significant. Conclusions: Cannabis use appeared to be both phenotypically and genetically associated with depression and self‐harm. Limitations in statistical power mean that conclusions could not be made on the direction of causality between these traits. [ABSTRACT FROM AUTHOR]

Published
2020
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33. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Author

Burton, Paul R., Clayton, David G., Cardon, Lon R., Craddock, Nick, Deloukas, Panos, Duncanson, Audrey, Kwiatkowski, Dominic P., McCarthy, Mark I., Ouwehand, Willem H., Samani, Nilesh J., Todd, John A., Donnelly, Peter, Barrett, Jeffrey C., Davison, Dan, Easton, Doug, Evans, David, Leung, Hin-Tak, Marchini, Jonathan L., Morris, Andrew P., Spencer, Chris C. A., Tobin, Martin D., Attwood, Antony P., Boorman, James P., Cant, Barbara, Everson, Ursula, Hussey, Judith M., Jolley, Jennifer D., Knight, Alexandra S., Koch, Kerstin, Meech, Elizabeth, Nutland, Sarah, Prowse, Christopher V., Stevens, Helen E., Taylor, Niall C., Walters, Graham R., Walker, Neil M., Watkins, Nicholas A., Winzer, Thilo, Jones, Richard W., McArdle, Wendy L., Ring, Susan M., Strachan, David P., Pembrey, Marcus, Breen, Gerome, St Clair, David, Caesar, Sian, Gordon-Smith, Katherine, Jones, Lisa, Fraser, Christine, Green, Elaine K., Grozeva, Detelina, Hamshere, Marian L., Holmans, Peter A., Jones, Ian R., Kirov, George, Moskvina, Valentina, Nikolov, Ivan, O'Donovan, Michael C., Owen, Michael J., Collier, David A., Elkin, Amanda, Farmer, Anne, Williamson, Richard, McGuffin, Peter, Young, Allan H., Ferrier, I. Nicol, Ball, Stephen G., Balmforth, Anthony J., Barrett, Jennifer H., Bishop, D. Timothy, Iles, Mark M., Maqbool, Azhar, Yuldasheva, Nadira, Hall, Alistair S., Braund, Peter S., Dixon, Richard J., Mangino, Massimo, Stevens, Suzanne, Thompson, John R., Bredin, Francesca, Tremelling, Mark, Parkes, Miles, Drummond, Hazel, Lees, Charles W., Nimmo, Elaine R., Satsangi, Jack, Fisher, Sheila A., Forbes, Alastair, Lewis, Cathryn M., Onnie, Clive M., Prescott, Natalie J., Sanderson, Jeremy, Mathew, Christopher G., Barbour, Jamie, Mohiuddin, M. Khalid, Todhunter, Catherine E., Mansfield, John C., Ahmad, Tariq, Cummings, Fraser R., Jewell, Derek P., Webster, John, Brown, Morris J., Lathrop, G. Mark, Connell, John, Dominiczak, Anna, Marcano, Carolina A. Braga, Burke, Beverley, Dobson, Richard, Gungadoo, Johannie, Lee, Kate L., Munroe, Patricia B., Newhouse, Stephen J., Onipinla, Abiodun, Wallace, Chris, Xue, Mingzhan, Caulfield, Mark, Farrall, Martin, Barton, Anne, and Genomics (BRAGGS), The Biologics in RA Genetics, Bruce, Ian N., Donovan, Hannah, Eyre, Steve, Gilbert, Paul D., Hider, Samantha L., Hinks, Anne M., John, Sally L., Potter, Catherine, Silman, Alan J., Symmons, Deborah P. M., Thomson, Wendy, Worthington, Jane, Dunger, David B., Widmer, Barry, Frayling, Timothy M., Freathy, Rachel M., Lango, Hana, Perry, John R. B., Shields, Beverley M., Weedon, Michael N., Hattersley, Andrew T., Hitman, Graham A., Walker, Mark, Elliott, Kate S., Groves, Christopher J., Lindgren, Cecilia M., Rayner, Nigel W., Timpson, Nicholas J., Zeggini, Eleftheria, Newport, Melanie, Sirugo, Giorgio, Lyons, Emily, Vannberg, Fredrik, Hill, Adrian V. S., Bradbury, Linda A., Farrar, Claire, Pointon, Jennifer J., Wordsworth, Paul, Brown, Matthew A., Franklyn, Jayne A., Heward, Joanne M., Simmonds, Matthew J., Gough, Stephen C. L., Seal, Sheila, Susceptibility Collaboration (UK), Breast Cancer, Stratton, Michael R., Rahman, Nazneen, Ban, Maria, Goris, An, Sawcer, Stephen J., Compston, Alastair, Conway, David, Jallow, Muminatou, Rockett, Kirk A., Bumpstead, Suzannah J., Chaney, Amy, Downes, Kate, Ghori, Mohammed J. R., Gwilliam, Rhian, Hunt, Sarah E., Inouye, Michael, Keniry, Andrew, King, Emma, McGinnis, Ralph, Potter, Simon, Ravindrarajah, Rathi, Whittaker, Pamela, Widden, Claire, Withers, David, Cardin, Niall J., Ferreira, Teresa, Pereira-Gale, Joanne, Hallgrimsdóttir, Ingileif B., Howie, Bryan N., Su, Zhan, Teo, Yik Ying, Vukcevic, Damjan, Bentley, David, and Compston, Alistair

Subjects
Genetic Markers, Bipolar Disorder, Population, Genome-wide association study, Single-nucleotide polymorphism, Coronary Artery Disease, Disease, Biology, Population stratification, Article, Arthritis, Rheumatoid, Crohn Disease, Gene Frequency, Diabetes Mellitus, Chromosomes, Human, Humans, Genetic Predisposition to Disease, education, Allele frequency, Genetics, education.field_of_study, Multidisciplinary, Geography, Genome, Human, CDKN2BAS, United Kingdom, Human genetics, C431 Medical Genetics, Genetics, Population, Case-Control Studies, Hypertension
Abstract

There is increasing evidence that genome-wide association ( GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study ( using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined similar to 2,000 individuals for each of 7 major diseases and a shared set of similar to 3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 X 10(-7): 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the diseases studied. Across all diseases, we identified a large number of further signals ( including 58 loci with single-point P values between 10(-5) and 5 X 10(-7)) likely to yield additional susceptibility loci. The importance of appropriately large samples was confirmed by the modest effect sizes observed at most loci identified. This study thus represents a thorough validation of the GWA approach. It has also demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; has generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in the British population is generally modest. Our findings offer new avenues for exploring the pathophysiology of these important disorders. We anticipate that our data, results and software, which will be widely available to other investigators, will provide a powerful resource for human genetics research.

Published
2007

34. Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases.

Author

Traylor, Matthew, Knevel, Rachel, Cui, Jing, Taylor, John, Harm-Jan, Westra, Conaghan, Philip G., Cope, Andrew P., Curtis, Charles, Emery, Paul, Newhouse, Stephen, Patel, Hamel, Steer, Sophia, Gregersen, Peter, Shadick, Nancy A., Weinblatt, Michael E., Van Der Helm-van Mil, Annette, Barrett, Jennifer H., Morgan, Ann W., Lewis, Cathryn M., and Scott, Ian C.

Subjects
RHEUMATOID arthritis, META-analysis, RHEUMATOID factor, SECONDARY analysis, DISEASE duration, DNA damage, NATALIZUMAB
Abstract

Background: Previous studies of radiological damage in rheumatoid arthritis (RA) have used candidate-gene approaches, or evaluated single genome-wide association studies (GWAS). We undertook the first meta-analysis of GWAS of RA radiological damage to: (1) identify novel genetic loci for this trait; and (2) test previously validated variants. Methods: Seven GWAS (2,775 RA cases, of a range of ancestries) were combined in a meta-analysis. Radiological damage was assessed using modified Larsen scores, Sharp van Der Heijde scores, and erosive status. Single nucleotide polymophsim (SNP) associations with radiological damage were tested at a single time-point using regression models. Primary analyses included age and disease duration as covariates. Secondary analyses also included rheumatoid factor (RF). Meta-analyses were undertaken in trans-ethnic and European-only cases. Results: In the trans-ethnic primary meta-analysis, one SNP (rs112112734) in close proximity to HLA-DRB1, and strong linkage disequilibrium with the shared-epitope, attained genome-wide significance (P = 4.2x10-8). In the secondary analysis (adjusting for RF) the association was less significant (P = 1.7x10-6). In both trans-ethnic primary and secondary meta-analyses 14 regions contained SNPs with associations reaching P<5x10-6; in the European primary and secondary analyses 13 and 10 regions contained SNPs reaching P<5x10-6, respectively. Of the previously validated SNPs for radiological progression, only rs660895 (tagging HLA-DRB1*04:01) attained significance (P = 1.6x10-5) and had a consistent direction of effect across GWAS. Conclusions: Our meta-analysis confirms the known association between the HLA-DRB1 shared epitope and RA radiological damage. The lack of replication of previously validated non-HLA markers highlights a requirement for further research to deliver clinically-useful prognostic genetic markers. [ABSTRACT FROM AUTHOR]

Published
2019
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35. ukbtools: An R package to manage and query UK Biobank data.

Author

Hanscombe, Ken B., Coleman, Jonathan R. I., Traylor, Matthew, and Lewis, Cathryn M.

Subjects
METADATA, SET functions, STATISTICS, SCIENTIFIC community, QUALITY control
Abstract

Introduction: The UK Biobank (UKB) is a resource that includes detailed health-related data on about 500,000 individuals and is available to the research community. However, several obstacles limit immediate analysis of the data: data files vary in format, may be very large, and have numerical codes for column names. Results: ukbtools removes all the upfront data wrangling required to get a single dataset for statistical analysis. All associated data files are merged into a single dataset with descriptive column names. The package also provides tools to assist in quality control by exploring the primary demographics of subsets of participants; query of disease diagnoses for one or more individuals, and estimating disease frequency relative to a reference variable; and to retrieve genetic metadata. Conclusion: Having a dataset with meaningful variable names, a set of UKB-specific exploratory data analysis tools, disease query functions, and a set of helper functions to explore and write genetic metadata to file, will rapidly enable UKB users to undertake their research. [ABSTRACT FROM AUTHOR]

Published
2019
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36. Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium.

Author

Polimanti, Renato, Gelernter, Joel, Mbarek, Hamdi, Agrawal, Arpana, Edenberg, Howard J., Lewis, Cathryn M., Sullivan, Patrick F., Wray, Naomi R., Peterson, Roseann E., Edwards, Alexis C., Gillespie, Nathan A., Kendler, Kenneth S., Maes, Hermine H., Ong, Jue-Sheng, MacGregor, Stuart, Clarke, Toni-Kim, Frank, Josef, Streit, Fabian, Gerring, Zachary, and Derks, Eske M.

Subjects
ALCOHOLISM, ATTRIBUTION (Social psychology), STATISTICAL correlation, MENTAL depression, ALCOHOL drinking, GENETICS, PSYCHIATRY, REGRESSION analysis, DESCRIPTIVE statistics
Abstract

Background: Despite established clinical associations among major depression (MD), alcohol dependence (AD), and alcohol consumption (AC), the nature of the causal relationship between them is not completely understood. We leveraged genome-wide data from the Psychiatric Genomics Consortium (PGC) and UK Biobank to test for the presence of shared genetic mechanisms and causal relationships among MD, AD, and AC. Methods: Linkage disequilibrium score regression and Mendelian randomization (MR) were performed using genome-wide data from the PGC (MD: 135 458 cases and 344 901 controls; AD: 10 206 cases and 28 480 controls) and UK Biobank (AC-frequency: 438 308 individuals; AC-quantity: 307 098 individuals). Results: Positive genetic correlation was observed between MD and AD (rgMD−AD = + 0.47, P = 6.6 × 10−10). AC-quantity showed positive genetic correlation with both AD (rgAD−AC quantity = + 0.75, P = 1.8 × 10−14) and MD (rgMD−AC quantity = + 0.14, P = 2.9 × 10−7), while there was negative correlation of AC-frequency with MD (rgMD−AC frequency = −0.17, P = 1.5 × 10−10) and a non-significant result with AD. MR analyses confirmed the presence of pleiotropy among these four traits. However, the MD-AD results reflect a mediated-pleiotropy mechanism (i.e. causal relationship) with an effect of MD on AD (beta = 0.28, P = 1.29 × 10−6). There was no evidence for reverse causation. Conclusion: This study supports a causal role for genetic liability of MD on AD based on genetic datasets including thousands of individuals. Understanding mechanisms underlying MD-AD comorbidity addresses important public health concerns and has the potential to facilitate prevention and intervention efforts. [ABSTRACT FROM AUTHOR]

Published
2019
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37. Association of genetic variants in CHEK2 with oesophageal squamous cell carcinoma in the South African Black population.

Author

Chen, Wenlong C, Bye, Hannah, Matejcic, Marco, Amar, Ariella, Govender, Dhiren, Khew, Yee Wen, Beynon, Victoria, Kerr, Robyn, Singh, Elvira, Prescott, Natalie J, Lewis, Cathryn M, Villiers, Chantal Babb de, Parker, M Iqbal, and Mathew, Christopher G

Subjects
SQUAMOUS cell carcinoma, SOUTH Africans, CANCER genetics, POPULATION, MEDICAL genetics
Published
2019
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38. Theme 2 Genetics and genomics.

Author

Roggenbuck, Jennifer, Doyle, Carly, Lincoln, Tara, Glass, Jonathan, Mehta, Puja R., Jones, Ashley R., Iacoangeli, Alfredo, Lewis, Cathryn M., Morgan, Sarah, Pittman, Alan, Morrison, Karen E., Shaw, Pamela J., Shaw, Christopher E., Al-Chalabi, Ammar, Hama, Yuka, Date, Hidetoshi, Ishiura, Hiroyuki, Mitsui, Jun, Doi, Koichiro, and Yoshimura, Jun

Subjects
GENETICS
Published
2019
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39. A Novel MMP12 Locus Is Associated with Large Artery Atherosclerotic Stroke Using a Genome-Wide Age-at-Onset Informed Approach

Author

Traylor, Matthew, Mäkelä, Kari-Matti, Kilarski, Laura L., Holliday, Elizabeth G., Devan, William J., Nalls, Mike A., Wiggins, Kerri L., Zhao, Wei, Cheng, Yu-Ching, Achterberg, Sefanja, Malik, Rainer, Sudlow, Cathie, Bevan, Steve, Raitoharju, Emma, Oksala, Niku, Thijs, Vincent, Lemmens, Robin, Lindgren, Arne, Slowik, Agnieszka, Maguire, Jane M., Walters, Matthew, Algra, Ale, Sharma, Pankaj, Attia, John R., Boncoraglio, Giorgio B., Rothwell, Peter M., de Bakker, Paul I. W., Bis, Joshua C., Saleheen, Danish, Kittner, Steven J., Mitchell, Braxton D., Rosand, Jonathan, Meschia, James F., Levi, Christopher, Dichgans, Martin, Lehtimäki, Terho, Lewis, Cathryn M., and Markus, Hugh S.

Subjects
Adult, Male, Cerebrovascular Diseases, Myocardial Infarction, Cardiology, Gene Expression, Coronary Artery Disease, Polymorphism, Single Nucleotide, Vascular Medicine, Matrix Metalloproteinase 12, Genome-Wide Association Studies, Genetics, Medicine and Health Sciences, Humans, Age of Onset, Aged, Glycosaminoglycans, Ischemic Stroke, Biology and Life Sciences, Computational Biology, Arteries, Middle Aged, Genome Analysis, Atherosclerosis, Stroke, Neurology, Female, Developmental Biology, Genome-Wide Association Study, Research Article
Abstract

Genome-wide association studies (GWAS) have begun to identify the common genetic component to ischaemic stroke (IS). However, IS has considerable phenotypic heterogeneity. Where clinical covariates explain a large fraction of disease risk, covariate informed designs can increase power to detect associations. As prevalence rates in IS are markedly affected by age, and younger onset cases may have higher genetic predisposition, we investigated whether an age-at-onset informed approach could detect novel associations with IS and its subtypes; cardioembolic (CE), large artery atherosclerosis (LAA) and small vessel disease (SVD) in 6,778 cases of European ancestry and 12,095 ancestry-matched controls. Regression analysis to identify SNP associations was performed on posterior liabilities after conditioning on age-at-onset and affection status. We sought further evidence of an association with LAA in 1,881 cases and 50,817 controls, and examined mRNA expression levels of the nearby genes in atherosclerotic carotid artery plaques. Secondly, we performed permutation analyses to evaluate the extent to which age-at-onset informed analysis improves significance for novel loci. We identified a novel association with an MMP12 locus in LAA (rs660599; p = 2.5×10−7), with independent replication in a second population (p = 0.0048, OR(95% CI) = 1.18(1.05–1.32); meta-analysis p = 2.6×10−8). The nearby gene, MMP12, was significantly overexpressed in carotid plaques compared to atherosclerosis-free control arteries (p = 1.2×10−15; fold change = 335.6). Permutation analyses demonstrated improved significance for associations when accounting for age-at-onset in all four stroke phenotypes (p, Author Summary Ischaemic stroke places an enormous burden on global healthcare. However, the disease processes that lead to stroke are not fully understood. Genome-wide association studies have recently established that common genetic variants can increase risk of ischaemic stroke and its subtypes. In this study, we aimed to identify novel genetic associations with ischaemic stroke and its subtypes by addressing the fact that younger onset cases may have a stronger genetic component, and using this information in our analyses. We identify a novel genetic variant on chromosome 11 (rs660599), which is associated with increased risk of large artery stroke. We also show that mRNA expression of the nearest gene (MMP12) is higher in arteries with the disease process underlying large artery stroke (atherosclerosis). Finally, we evaluate our novel analysis approach, and show that our method is likely to identify further associations with ischaemic stroke.

Published
2014

40. Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: Meta-analysis of three treatment cohorts.

Author

Ward, Joey, Graham, Nicholas, Strawbridge, Rona J., Ferguson, Amy, Jenkins, Gregory, Chen, Wenan, Hodgson, Karen, Frye, Mark, Weinshilboum, Richard, Uher, Rudolf, Lewis, Cathryn M., Biernacka, Joanna, and Smith, Daniel J.

Subjects
MONOGENISM & Polygenism (Human origins), NEUROTICISM, ANTIDEPRESSANTS, META-analysis, HIERARCHY (Linguistics)
Abstract

There are currently no reliable approaches for correctly identifying which patients with major depressive disorder (MDD) will respond well to antidepressant therapy. However, recent genetic advances suggest that Polygenic Risk Scores (PRS) could allow MDD patients to be stratified for antidepressant response. We used PRS for MDD and PRS for neuroticism as putative predictors of antidepressant response within three treatment cohorts: The Genome-based Therapeutic Drugs for Depression (GENDEP) cohort, and 2 sub-cohorts from the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomics Study PRGN-AMPS (total patient number = 760). Results across cohorts were combined via meta-analysis within a random effects model. Overall, PRS for MDD and neuroticism did not significantly predict antidepressant response but there was a consistent direction of effect, whereby greater genetic loading for both MDD (best MDD result, p < 5*10–5 MDD-PRS at 4 weeks, β = -0.019, S.E = 0.008, p = 0.01) and neuroticism (best neuroticism result, p < 0.1 neuroticism-PRS at 8 weeks, β = -0.017, S.E = 0.008, p = 0.03) were associated with less favourable response. We conclude that the PRS approach may offer some promise for treatment stratification in MDD and should now be assessed within larger clinical cohorts. [ABSTRACT FROM AUTHOR]

Published
2018
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41. Exome array analysis of adverse reactions to fluoropyrimidine-based therapy for gastrointestinal cancer.

Author

Traylor, Matthew, Walker, Jemma L., Corrigan, Adele A., Hernandez, Monica A., Newhouse, Stephen J., Folarin, Amos A., Patel, Hamel, Ross, Paul J., Sanderson, Jeremy D., Spicer, James, Prescott, Natalie J., Mathew, Christopher G., Marinaki, Anthony M., and Lewis, Cathryn M.

Subjects
FLUOROPYRIMIDINES, GASTROINTESTINAL cancer treatment, EXOMES, DRUG side effects, BONFERRONI correction, THERAPEUTICS
Abstract

Fluoropyrimidines, including 5-fluororacil (5FU) and its pro-drug Capecitabine, are the common treatment for colorectal, breast, neck and head cancers—either as monotherapy or in combination therapy. Adverse reactions (ADRs) to the treatment are common and often result in treatment discontinuation or dose reduction. Factors contributing to ADRs, including genetic variation, are poorly characterized. We performed exome array analysis to identify genetic variants that contribute to adverse reactions. Our final dataset consisted of 504 European ancestry individuals undergoing fluoropyrimidine-based therapy for gastrointestinal cancer. A subset of 254 of these were treated with Capecitabine. All individuals were genotyped on the Illumina HumanExome Array. Firstly, we performed SNP and gene-level analyses of protein-altering variants on the array to identify novel associations the following ADRs, which were grouped into four phenotypes based on symptoms of diarrhea, mucositis, and neutropenia and hand-and-foot syndrome. Secondly, we performed detailed analyses of the HLA region on the same phenotypes after imputing the HLA alleles and amino acids. No protein-altering variants, or sets of protein-altering variants collapsed into genes, were associated with the main outcomes after Bonferroni correction. We found evidence that the HLA region was enriched for associations with Hand-and-Foot syndrome (p = 0.023), but no specific SNPs or HLA alleles were significant after Bonferroni correction. Larger studies will be required to characterize the genetic contribution to ADRs to 5FU. Future studies that focus on the HLA region are likely to be fruitful. [ABSTRACT FROM AUTHOR]

Published
2018
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42. Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A

Author

Nejentsev, Sergey, Howson, Joanna M. M., Walker, Neil M., Szeszko, Jeffrey, Field, Sarah F., Stevens, Helen E., Reynolds, Pamela, Hardy, Matthew, King, Erna, Masters, Jennifer, Hulme, John, Maier, Lisa M., Smyth, Deborah, Bailey, Rebecca, Cooper, Jason D., Ribas, Gloria, Campbell, R. Duncan, Clayton, David G., Todd, John A., Burton, Paul R., Cardon, Lon R., Craddock, Nick, Deloukas, Panos, Duncanson, Audrey, Kwiatkowski, Dominic P., McCarthy, Mark I., Ouwehand, Willem H., Samani, Nilesh J., Donnelly, Peter, Barrett, Jeffrey C., Davison, Dan, Easton, Doug, Evans, David, Leung, Hin-Tak, Marchini, Jonathan L., Morris, Andrew P., Spencer, Chris C. A., Tobin, Martin D., Attwood, Antony P., Boorman, James P., Cant, Barbara, Everson, Ursula, Hussey, Judith M., Jolley, Jennifer D., Knight, Alexandra S., Koch, Kerstin, Meech, Elizabeth, Nutland, Sarah, Prowse, Christopher V., Taylor, Niall C., Walters, Graham R., Watkins, Nicholas A., Winzer, Thilo, Jones, Richard W., McArdle, Wendy L., Ring, Susan M., Strachan, David P., Pembrey, Marcus, Breen, Gerome, St Clair, David, Caesar, Sian, Gordon-Smith, Katherine, Jones, Lisa, Fraser, Christine, Green, Elaine K., Grozeva, Detelina, Hamshere, Marian L., Holmans, Peter A., Jones, Ian R., Kirov, George, Moskvina, Valentina, Nikolov, Ivan, O’Donovan, Michael C., Owen, Michael J., Collier, David A., Elkin, Amanda, Farmer, Anne, Williamson, Richard, McGuffin, Peter, Young, Allan H., Nicol Ferrier, I., Ball, Stephen G., Balmforth, Anthony J., Barrett, Jennifer H., Bishop, D. Timothy, Iles, Mark M., Maqbool, Azhar, Yuldasheva, Nadira, Hall, Alistair S., Braund, Peter S., Dixon, Richard J., Mangino, Massimo, Stevens, Suzanne, Thompson, John R., Bredin, Francesca, Tremelling, Mark, Parkes, Miles, Drummond, Hazel, Lees, Charles W., Nimmo, Elaine R., Satsangi, Jack, Fisher, Sheila A., Forbes, Alastair, Lewis, Cathryn M., Onnie, Clive M., Prescott, Natalie J., Sanderson, Jeremy, Mathew, Christopher G., Barbour, Jamie, Khalid Mohiuddin, M., Todhunter, Catherine E., Mansfield, John C., Ahmad, Tariq, Cummings, Fraser R., Jewell, Derek P., Webster, John, Brown, Morris J., Lathrop, G. Mark, Connell, John, Dominiczak, Anna, Braga, Carolina A., Burke, Beverley, Dobson, Richard, Gungadoo, Johannie, Lee, Kate L., Munroe, Patricia B., Newhouse, Stephen J., Onipinla, Abiodun, Wallace, Chris, Xue, Mingzhan, Caulfield, Mark, Farrall, Martin, Barton, Anne, Bruce, Ian N., Donovan, Hannah, Eyre, Steve, Gilbert, Paul D., Hider, Samantha L., Hinks, Anne M., John, Sally L., Potter, Catherine, Silman, Alan J., Symmons, Deborah P. M., Thomson, Wendy, Worthington, Jane, Dunger, David B., Widmer, Barry, Frayling, Timothy M., Freathy, Rachel M., Lango, Hana, Perry, John R. B., Shields, Beverley M., Weedon, Michael N., Hattersley, Andrew T., Hitman, Graham A., Walker, Mark, Elliott, Kate S., Groves, Christopher J., Lindgren, Cecilia M., Rayner, Nigel W., Timpson, Nicholas J., Zeggini, Eleftheria, Newport, Melanie, Sirugo, Giorgio, Lyons, Emily, Vannberg, Fredrik, Hill, Adrian V. S., Bradbury, Linda A., Farrar, Claire, Pointon, Jennifer J., Wordsworth, Paul, Brown, Matthew A., Franklyn, Jayne A., Heward, Joanne M., Simmonds, Matthew J., Gough, Stephen C. L., Seal, Sheila, Stratton, Michael R., Rahman, Nazneen, Ban, Maria, Goris, An, Sawcer, Stephen J., Compston, Alastair, Conway, David, Jallow, Muminatou, Rockett, Kirk A., Bryan, Claire, Bumpstead, Suzannah J., Chaney, Amy, Downes, Kate, Ghori, Jilur, Gwilliam, Rhian, Hunt, Sarah E., Inouye, Michael, Keniry, Andrew, King, Emma, McGinnis, Ralph, Potter, Simon, Ravindrarajah, Rathi, Whittaker, Pamela, Withers, David, Cardin, Niall J., Ferreira, Teresa, Pereira-Gale, Joanne, Hallgrimsdóttir, Ingeleif B., Howie, Bryan N., Su, Zhan, Ying Teo, Yik, Vukcevic, Damjan, Bentley, David, and Compston, Alistair

Subjects
Genotype, Genes, MHC Class II, Genes, MHC Class I, Human leukocyte antigen, Biology, Polymorphism, Single Nucleotide, Article, White People, MHC Class II Gene, Gene Frequency, HLA-DQ Antigens, Databases, Genetic, HLA-B Antigens, HLA-DQ beta-Chains, Humans, Genetic Predisposition to Disease, Alleles, Genetics, Multidisciplinary, HLA-DQ Antigen, HLA-A Antigens, MHC Class I Gene, HLA-DR Antigens, HLA-B, Histocompatibility, HLA-A, C431 Medical Genetics, Diabetes Mellitus, Type 1, Case-Control Studies, Sample Size, HLA-DRB1 Chains
Abstract

The major histocompatibility complex (MHC) on chromosome 6 is associated with susceptibility to more common diseases than any other region of the human genome, including almost all disorders classified as autoimmune. In type 1 diabetes the major genetic susceptibility determinants have been mapped to the MHC class II genes HLA-DQB1 and HLA-DRB1 (refs 1-3), but these genes cannot completely explain the association between type 1 diabetes and the MHC region. Owing to the region's extreme gene density, the multiplicity of disease-associated alleles, strong associations between alleles, limited genotyping capability, and inadequate statistical approaches and sample sizes, which, and how many, loci within the MHC determine susceptibility remains unclear. Here, in several large type 1 diabetes data sets, we analyse a combined total of 1,729 polymorphisms, and apply statistical methods - recursive partitioning and regression - to pinpoint disease susceptibility to the MHC class I genes HLA-B and HLA-A (risk ratios >1.5; Pcombined = 2.01 × 10-19 and 2.35 × 10-13, respectively) in addition to the established associations of the MHC class II genes. Other loci with smaller and/or rarer effects might also be involved, but to find these, future searches must take into account both the HLA class II and class I genes and use even larger samples. Taken together with previous studies, we conclude that MHC-class-I-mediated events, principally involving HLA-B*39, contribute to the aetiology of type 1 diabetes. ©2007 Nature Publishing Group.

Published
2007

43. A bidirectional relationship between depression and the autoimmune disorders – New perspectives from the National Child Development Study.

Author

Euesden, Jack, Danese, Andrea, Lewis, Cathryn M., and Maughan, Barbara

Subjects
AUTOIMMUNE diseases, CHILD development, MENTAL depression, AGE of onset, INFLAMMATION
Abstract

Background: Depression and the autoimmune disorders are comorbid—the two classes of disorders overlap in the same individuals at a higher frequency than chance. The immune system may influence the pathological processes underlying depression; understanding the origins of this comorbidity may contribute to dissecting the mechanisms underlying these disorders. Method: We used population cohort data from the 1958 British birth cohort study (the National Child Development Study) to investigate the ages at onset of depression and 23 autoimmune disorders. We used self-report data to ascertain life-time history of depression, autoimmune disorders and their ages at onset. We modelled the effect of depression onset on subsequent autoimmune disorder onset, and vice versa, and incorporated polygenic risk scores for depression and autoimmune disorder risk. Results: In our analytic sample of 8174 individuals, 315 reported ever being diagnosed with an autoimmune disorder (3.9%), 1499 reported ever experiencing depression (18.3%). There was significant comorbidity between depression and the autoimmune disorders (OR = 1.66, 95% CI = 1.27–2.15). Autoimmune disorder onset associated with increased subsequent hazard of depression onset (HR = 1.39, 95% CI = 1.11–1.74, P = 0.0037), independently of depression genetic risk. Finally, depression increased subsequent hazard of autoimmune disorder onset (HR = 1.40, 95% CI = 1.09–1.80, P = 0.0095), independently of autoimmune disorder genetic risk. Discussion: Our results point to a bidirectional relationship between depression and the autoimmune disorders. This suggests that shared risk factors may contribute to this relationship, including both common environmental exposures that increase baseline inflammation levels, and shared genetic factors. [ABSTRACT FROM AUTHOR]

Published
2017
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44. Prospects for using risk scores in polygenic medicine.

Author

Lewis, Cathryn M. and Vassos, Evangelos

Subjects
*MONOGENIC & polygenic inheritance (Genetics), *DISEASE risk factors, *GENOMICS, *MENTAL illness, *GENETICS
Abstract

Genome-wide association studies have made strides in identifying common variation associated with disease. The modest effect sizes preclude risk prediction based on single genetic variants, but polygenic risk scores that combine thousands of variants show some predictive ability across a range of complex traits and diseases, including neuropsychiatric disorders. Here, we consider the potential for translation to clinical use. [ABSTRACT FROM AUTHOR]

Published
2017
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45. Genome-Wide Association Study of Major Recurrent Depression in the U.K. Population.

Author

Lewis, Cathryn M., Ng, Mandy Y., Butler, Amy W., Cohen-Woods, Sarah, Uher, Rudolf, Pirlo, Katrina, Weale, Michael E., Schosser, Alexandra, Paredes, Ursula M., Rivera, Margarita, Craddck, Nicholas, Owen, Mike J., Jones, Lisa, Jones, Ian, Korszun, Ania, Aitchison, Katherine J., Jianxin Shi, Quinn, John P., MacKenzie, Alasdair, and Vollenweider, Peter

Subjects
*MENTAL depression genetics, *DISEASES in twins, *GENETIC polymorphisms, *GENE frequency, *GENOMES, *GENETICS
Abstract

Objective: Studies of major depression in twins and families have shown moderate to high heritability, but extensive molecular studies have failed to identify susceptibility genes convincingly. To detect genetic variants contributing to major depression, the authors performed a genome-wide association study using 1,636 cases of depression ascertained in the U.K. and 1,594 comparison subjects screened negative for psychiatric disorders. Method: Cases were collected from 1) a case-control study of recurrent depression (the Depression Case Control [DeCCI study; N=1346), 2) an affected sibling pair linkage study of recurrent depression (probands from the Depression Network [DeNT] study; N=332), and 3) a pharmacogenetic study (the GenomeBased Therapeutic Drugs for Depression [GENDEP] study; N=88). Depression cases and comparison subjects were genotyped at Centre National de Genotypage on the Illumina Human6lO-Quad BeadChip. After applying stringent quality control criteria for missing genotypes, departure from Hardy-weinberg equilibrium, and low minor allele frequency, the authors tested for association to depression using logistic regression, correcting for popular tion ancestry. Results: Single nucleotide polymorphisms (SNPs) in BICC1 achieved suggestive evidence for association, which strengthened after imputation of ungenotyped markers, and in analysis of female depression cases. A meta-analysis of U.K. data with previously published results from studies in Munich and Lausanne showed some evidence for association near neuroligin 1 (NLGN1) on chromosome 3, but did not support findings at B/Cd. Conclusion: This study identifies several signals for association worthy of further investigation but, as in previous genomewide studies, suggests that individual gene contributions to depression are likely to have only minor effects, and very large pooled analyses will be required to identify them. [ABSTRACT FROM AUTHOR]

Published
2010
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46. Meta-analysis of genome-wide linkage studies across autoimmune diseases.

Author

Forabosco, Paola, Bouzigon, Emmanuelle, Ng, Mandy Y., Hermanowski, Jane, Fisher, Sheila A., Criswell, Lindsey A., and Lewis, Cathryn M.

Subjects
AUTOIMMUNE diseases, IMMUNOLOGIC diseases, META-analysis, GENOMES, GENOMICS, CHROMOSOMES, GENETICS
Abstract

Autoimmune diseases are chronic disorders initiated by a loss of immunologic tolerance to self-antigens. They cluster within families, and patients may be diagnosed with more than one disease, suggesting pleiotropic genes are involved in the aetiology of different diseases. To identify potential loci, which confer susceptibility to autoimmunity independent of disease phenotype, we pooled results from genome-wide linkage studies, using the genome scan meta-analysis method (GSMA). The meta-analysis included 42 independent studies for 11 autoimmune diseases, using 7350 families with 18 291 affected individuals. In addition to the HLA region, which showed highly significant genome-wide evidence for linkage, we obtained suggestive evidence for linkage on chromosome 16, with peak evidence at 10.0–19.8 Mb. This region may harbour a pleiotropic gene (or genes) conferring risk for several diseases, although no such gene has been identified through association studies. We did not identify evidence for linkage at several genes known to confer increased risk to different autoimmune diseases (PTPN22, CTLA4), even in subgroups of diseases consistently found to be associated with these genes. The relative risks conferred by variants in these genes are modest (<1.5 in most cases), and even a large study like this meta-analysis lacks power to detect linkage. This study illustrates the concept that linkage and association studies have power to identify very different types of disease-predisposing variants.European Journal of Human Genetics (2009) 17, 236–243; doi:10.1038/ejhg.2008.163; published online 10 September 2008 [ABSTRACT FROM AUTHOR]

Published
2009
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47. Meta-analysis of genome-wide linkage studies in BMI and obesity.

Author

Saunders, Catherine L., Chiodini, Benedetta D., Sham, Pak, Lewis, Cathryn M., Abkevich, Victor, Adeyemo, Adebowale A., De Andrade, Mariza, Arya, Rector, Berenson, Gerald S., Blangero, John, Boehnke, Michael, Borecki, Ingrid B., Chagnon, Yvon C., Wei Chen, Comuzzie, Anthony G., Hong-Wen Deng, Duggirala, Ravindranath, Feitosa, Mary F., Froguel, Philippe, and Hanson, Robert L.

Subjects
OBESITY, BODY mass index, GENOMICS, HEREDITY, ADIPOSE tissues, HUMAN body composition, DIABETES, GENETICS, HUMAN genome, HYPERTENSION, META-analysis, RESEARCH funding, SYSTEMATIC reviews
Abstract

Objective: The objective was to provide an overall assessment of genetic linkage data of BMI and BMI-defined obesity using a nonparametric genome scan meta-analysis.Research Methods and Procedures: We identified 37 published studies containing data on over 31,000 individuals from more than >10,000 families and obtained genome-wide logarithm of the odds (LOD) scores, non-parametric linkage (NPL) scores, or maximum likelihood scores (MLS). BMI was analyzed in a pooled set of all studies, as a subgroup of 10 studies that used BMI-defined obesity, and for subgroups ascertained through type 2 diabetes, hypertension, or subjects of European ancestry.Results: Bins at chromosome 13q13.2- q33.1, 12q23-q24.3 achieved suggestive evidence of linkage to BMI in the pooled analysis and samples ascertained for hypertension. Nominal evidence of linkage to these regions and suggestive evidence for 11q13.3-22.3 were also observed for BMI-defined obesity. The FTO obesity gene locus at 16q12.2 also showed nominal evidence for linkage. However, overall distribution of summed rank p values <0.05 is not different from that expected by chance. The strongest evidence was obtained in the families ascertained for hypertension at 9q31.1-qter and 12p11.21-q23 (p < 0.01).Conclusion: Despite having substantial statistical power, we did not unequivocally implicate specific loci for BMI or obesity. This may be because genes influencing adiposity are of very small effect, with substantial genetic heterogeneity and variable dependence on environmental factors. However, the observation that the FTO gene maps to one of the highest ranking bins for obesity is interesting and, while not a validation of this approach, indicates that other potential loci identified in this study should be investigated further. [ABSTRACT FROM AUTHOR]

Published
2007
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48. Meta-analysis of genome-wide linkage studies for multiple sclerosis, using an extended GSMA method.

Author

Hermanowski, Jane, Bouzigon, Emmanuelle, Forabosco, Paola, Ng, Mandy Y., Fisher, Sheila A., and Lewis, Cathryn M.

Subjects
META-analysis, GENETICS of multiple sclerosis, LINKAGE (Genetics), SEX-linkage (Genetics), HUMAN genetics, GENOMES
Abstract

Many genome-wide linkage studies in multiple sclerosis (MS) have been performed, but results are disappointing, with linkage confirmed only in the HLA region. We combined results from all available, non-overlapping genome-wide linkage studies in MS using the Genome Search Meta-Analysis method (GSMA). The GSMA is a rank-based analysis, which assesses the strongest evidence for linkage within bins of traditionally 30 cM width on the autosomes and X chromosome. Genome-wide evidence for linkage was confirmed on chromosome 6p (HLA region; P=0.00004). Suggestive evidence for linkage was found on chromosomes 10q (P=0.0077), 18p (P=0.0054) and 20p (P=0.0079). To explore how these results could be affected by bin definition, we analysed the data using different bin widths (20 and 40 cM) and using a shifted 30 cM bin by moving bin boundaries by 15 cM. Consistently significant results were obtained for the 6p region. The regions on 10q and 18p provided suggestive evidence for linkage in some analyses, and, interestingly, a region on 6q, that showed only nominal significance in the original analysis, yielded increased, suggestive significance in two of the additional analyses. These regions may provide targets to focus candidate gene studies or to prioritise results from genome-wide association studies.European Journal of Human Genetics (2007) 15, 703–710. doi:10.1038/sj.ejhg.5201818; published online 21 March 2007 [ABSTRACT FROM AUTHOR]

Published
2007
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49. Genome Scan Meta-Analysis of Schizophrenia and Bipolar Disorder, Part II: Schizophrenia.

Author

Lewis, Cathryn M., Levinson, Douglas I., Wise, Lesley H., DeLisi, Lynn E., Straub, Richard E., Hovatta, Iris, Williams, Nigel M., Schwab, Sibylle G., Pulver, Ann E., Faraone, Stephen V., Brzustocwicz, Linda M., Kauffman, Charles A., Garver, David L., Gurling, Hugh M.D., Lindholm, Eva, Coon, Hilary, Moises, Hans W., Byerley, William, and Shaw, Sarah H.

Subjects
*SCHIZOPHRENIA, *GENETICS, *META-analysis, *GENOMES
Abstract

Schizophrenia is a common disorder with high heritability and a 10-fold increase in risk to siblings of probands. Replication has been inconsistent for reports of significant genetic linkage. To assess evidence for linkage across studies, rank-based genome scan meta-analysis (GSMA) was applied to data from 20 schizophrenia genome scans. Each marker for each scan was assigned to 1 of 120 30-cM bins, with the bins ranked by linkage scores (1 p most significant) and the ranks averaged across studies (R[SUBavg]) and then weighted for sample size (√N[affected cases]). A permutation test was used to compute the probability of observing, by chance, each bin's average rank (P[SUBAvgRnk]) or of observing it for a bin with the same place (first, second, etc.) in the order of average ranks in each permutation (P[SUBord]). The GSMA produced significant genomewide evidence for linkage on chromosome 2q (P[SUBAvgRnk] < .000417). Two aggregate criteria for linkage were also met (clusters of nominally significant P values that did not occur in 1,000 replicates of the entire data set with no linkage present): 12 consecutive bins with both P[SUBAvgRnk] and P[SUBord] < .05, including regions of chromosomes 5q, 3p, 11q, 6p, 1q, 22q, 8p, 20q, and 14p, and 19 consecutive bins with P[SUBord] < .05, additionally including regions of chromosomes 16q, 18q, 10p, 15q, 6q, and 17q. There is greater consistency of linkage results across studies than has been previously recognized. The results suggest that some or all of these regions contain loci that increase susceptibility to schizophrenia in diverse populations. [ABSTRACT FROM AUTHOR]

Published
2003
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50. Genetic association studies: Design, analysis and interpretation.

Author

Lewis, Cathryn M.

Subjects
*GENETICS, *POPULATION, *FAMILIES
Abstract

This paper provides a review of the design and analysis of genetic association studies. In case control studies, the different contingency tables and their relationships to the underlying genetic model are defined. Population stratification is discussed, with suggested methods to identify and correct for the effect. The transmission disequilibrium test is provided as an alternative family-based test, which is robust to population stratification. The relative benefits of each analysis are summarised. [ABSTRACT FROM AUTHOR]

Published
2002
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