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Chakrabarty A, Chakraborty S, Nandi D, Basu A. Multivariate genetic architecture reveals testosterone-driven sexual antagonism in contemporary humans. Proc Natl Acad Sci U S A 2024; 121:e2404364121. [PMID: 38833469 DOI: 10.1073/pnas.2404364121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 05/06/2024] [Indexed: 06/06/2024] Open
Abstract
Sex difference (SD) is ubiquitous in humans despite shared genetic architecture (SGA) between the sexes. A univariate approach, i.e., studying SD in single traits by estimating genetic correlation, does not provide a complete biological overview, because traits are not independent and are genetically correlated. The multivariate genetic architecture between the sexes can be summarized by estimating the additive genetic (co)variance across shared traits, which, apart from the cross-trait and cross-sex covariances, also includes the cross-sex-cross-trait covariances, e.g., between height in males and weight in females. Using such a multivariate approach, we investigated SD in the genetic architecture of 12 anthropometric, fat depositional, and sex-hormonal phenotypes. We uncovered sexual antagonism (SA) in the cross-sex-cross-trait covariances in humans, most prominently between testosterone and the anthropometric traits - a trend similar to phenotypic correlations. 27% of such cross-sex-cross-trait covariances were of opposite sign, contributing to asymmetry in the SGA. Intriguingly, using multivariate evolutionary simulations, we observed that the SGA acts as a genetic constraint to the evolution of SD in humans only when selection is sexually antagonistic and not concordant. Remarkably, we found that the lifetime reproductive success in both the sexes shows a positive genetic correlation with anthropometric traits, but not with testosterone. Moreover, we demonstrated that genetic variance is depleted along multivariate trait combinations in both the sexes but in different directions, suggesting absolute genetic constraint to evolution. Our results indicate that testosterone drives SA in contemporary humans and emphasize the necessity and significance of using a multivariate framework in studying SD.
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Affiliation(s)
- Anasuya Chakrabarty
- Biotechnology Research Innovation Council-National Institute of Biomedical Genomics, Kalyani 741251, West Bengal, India
| | - Saikat Chakraborty
- Biotechnology Research Innovation Council-National Institute of Biomedical Genomics, Kalyani 741251, West Bengal, India
- Biostatistics Division, Global Capability Center, GlaxoSmithKline India Global Service Private Limited, Bangalore 560037, India
| | - Diptarup Nandi
- Biotechnology Research Innovation Council-National Institute of Biomedical Genomics, Kalyani 741251, West Bengal, India
- School of Arts and Sciences, Azim Premji University, Bengaluru 562125, Karnataka, India
| | - Analabha Basu
- Biotechnology Research Innovation Council-National Institute of Biomedical Genomics, Kalyani 741251, West Bengal, India
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2
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Yang ML, Xu C, Gupte T, Hoffmann TJ, Iribarren C, Zhou X, Ganesh SK. Sex-specific genetic architecture of blood pressure. Nat Med 2024; 30:818-828. [PMID: 38459180 DOI: 10.1038/s41591-024-02858-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 02/05/2024] [Indexed: 03/10/2024]
Abstract
The genetic and genomic basis of sex differences in blood pressure (BP) traits remain unstudied at scale. Here, we conducted sex-stratified and combined-sex genome-wide association studies of BP traits using the UK Biobank resource, identifying 1,346 previously reported and 29 new BP trait-associated loci. Among associated loci, 412 were female-specific (Pfemale ≤ 5 × 10-8; Pmale > 5 × 10-8) and 142 were male-specific (Pmale ≤ 5 × 10-8; Pfemale > 5 × 10-8); these sex-specific loci were enriched for hormone-related transcription factors, in particular, estrogen receptor 1. Analyses of gene-by-sex interactions and sexually dimorphic effects identified four genomic regions, showing female-specific associations with diastolic BP or pulse pressure, including the chromosome 13q34-COL4A1/COL4A2 locus. Notably, female-specific pulse pressure-associated loci exhibited enriched acetylated histone H3 Lys27 modifications in arterial tissues and a female-specific association with fibromuscular dysplasia, a female-biased vascular disease; colocalization signals included Chr13q34: COL4A1/COL4A2, Chr9p21: CDKN2B-AS1 and Chr4q32.1: MAP9 regions. Sex-specific and sex-biased polygenic associations of BP traits were associated with multiple cardiovascular traits. These findings suggest potentially clinically significant and BP sex-specific pleiotropic effects on cardiovascular diseases.
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Affiliation(s)
- Min-Lee Yang
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Chang Xu
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Trisha Gupte
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Thomas J Hoffmann
- Department of Epidemiology & Biostatistics, and Institute for Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | - Xiang Zhou
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Santhi K Ganesh
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA.
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA.
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
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3
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Austin-Zimmerman I, Levey DF, Giannakopoulou O, Deak JD, Galimberti M, Adhikari K, Zhou H, Denaxas S, Irizar H, Kuchenbaecker K, McQuillin A, Concato J, Buysse DJ, Gaziano JM, Gottlieb DJ, Polimanti R, Stein MB, Bramon E, Gelernter J. Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration. Nat Commun 2023; 14:6059. [PMID: 37770476 PMCID: PMC10539313 DOI: 10.1038/s41467-023-41249-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 08/28/2023] [Indexed: 09/30/2023] Open
Abstract
Sleep duration has been linked to a wide range of negative health outcomes and to reduced life expectancy. We present genome-wide association studies of short ( ≤ 5 h) and long ( ≥ 10 h) sleep duration in adults of European (N = 445,966), African (N = 27,785), East Asian (N = 3141), and admixed-American (N = 16,250) ancestry from UK Biobank and the Million Veteran Programme. In a cross-population meta-analysis, we identify 84 independent loci for short sleep and 1 for long sleep. We estimate SNP-based heritability for both sleep traits in each ancestry based on population derived linkage disequilibrium (LD) scores using cov-LDSC. We identify positive genetic correlation between short and long sleep traits (rg = 0.16 ± 0.04; p = 0.0002), as well as similar patterns of genetic correlation with other psychiatric and cardiometabolic phenotypes. Mendelian randomisation reveals a directional causal relationship between short sleep and depression, and a bidirectional causal relationship between long sleep and depression.
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Affiliation(s)
- Isabelle Austin-Zimmerman
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Daniel F Levey
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Olga Giannakopoulou
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- UCL Genetics Institute, Division of Biosciences, University College London, London, WC1E 6BT, UK
| | - Joseph D Deak
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Marco Galimberti
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Keyrun Adhikari
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Hang Zhou
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Spiros Denaxas
- Health Data Research UK, Institute of Health Informatics, University College London, London, NW1 2DA, UK
| | - Haritz Irizar
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- Department of Genetics & Genomic Sciences and Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Karoline Kuchenbaecker
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- UCL Genetics Institute, Division of Biosciences, University College London, London, WC1E 6BT, UK
| | - Andrew McQuillin
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
| | - John Concato
- School of Medicine, Yale University, New Haven, CT, 06511, USA
- Office of Medical Policy, Center for Drug Evaluation and Research, Food and Drug Administration (FDA), Silver Spring, MD, USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA
- Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Daniel J Gottlieb
- VA Boston Healthcare System, 1400 VFW Parkway (111PI), West Roxbury, MA, 02132, USA
- Division of Sleep and Circadian Disorders, Brigham & Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Renato Polimanti
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Murray B Stein
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
- Departments of Psychiatry and Herbert Wertheim School of Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Elvira Bramon
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Joel Gelernter
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
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4
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Han S, Xu Y, Fang K, Guo HR, Wei Y, Liu L, Wen B, Liu H, Zhang Y, Cheng J. Mapping the neuroanatomical heterogeneity of OCD using a framework integrating normative model and non-negative matrix factorization. Cereb Cortex 2023:7153879. [PMID: 37150510 DOI: 10.1093/cercor/bhad149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/05/2023] [Accepted: 04/06/2023] [Indexed: 05/09/2023] Open
Abstract
Obsessive-compulsive disorder (OCD) is a spectrum disorder with high interindividual heterogeneity. We propose a comprehensible framework integrating normative model and non-negative matrix factorization (NMF) to quantitatively estimate the neuroanatomical heterogeneity of OCD from a dimensional perspective. T1-weighted magnetic resonance images of 98 first-episode untreated patients with OCD and matched healthy controls (HCs, n = 130) were acquired. We derived individualized differences in gray matter morphometry using normative model and parsed them into latent disease factors using NMF. Four robust disease factors were identified. Each patient expressed multiple factors and exhibited a unique factor composition. Factor compositions of patients were significantly correlated with severity of symptom, age of onset, illness duration, and exhibited sex differences, capturing sources of clinical heterogeneity. In addition, the group-level morphological differences obtained with two-sample t test could be quantitatively derived from the identified disease factors, reconciling the group-level and subject-level findings in neuroimaging studies. Finally, we uncovered two distinct subtypes with opposite morphological differences compared with HCs from factor compositions. Our findings suggest that morphological differences of individuals with OCD are the unique combination of distinct neuroanatomical patterns. The proposed framework quantitatively estimating neuroanatomical heterogeneity paves the way for precision medicine in OCD.
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Affiliation(s)
- Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Yinhuan Xu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Keke Fang
- Department of Pharmacy, Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University
| | - Hui-Rong Guo
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Liang Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Hao Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou
- Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
- Henan Engineering Research Center of Brain Function Development and Application
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5
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Reale C, Invernizzi F, Panteghini C, Garavaglia B. Genetics, sex, and gender. J Neurosci Res 2023; 101:553-562. [PMID: 34498752 DOI: 10.1002/jnr.24945] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 08/05/2021] [Indexed: 12/27/2022]
Abstract
This review aims to give an overview of what has been discovered so far and what still needs to be analyzed about how sex and gender affect the disease development. These two terms are often confused and indifferently used. In principle, the term "sex" refers to biological differences between males and females, specifically reproductive organs and their functions, while the term "gender" refers to the social context in which people live and which contributes to a subjective sexual identity, masculine or feminine. This dichotomy, however, is not so rigid and both sex and gender influence different aspects of human health, such as brain, health and aging and drug treatment and pharmacokinetics. In particular, we want to focus on genetic differences between men and women: indeed, the expression of the genes mapped on X chromosome or Y chromosome and all epigenetic interactions affect the diseases development. Finally, we will briefly outline sex and gender differences in clinical manifestations of three neurological diseases: Alzheimer's disease, Parkinson's disease, and obsessive compulsive disorder. In the era of personalized medicine, we must not forget the importance of gender medicine to promote personalized care for any kind of patients.
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Affiliation(s)
- Chiara Reale
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS, Istituto Neurologico "C. Besta", Milan, Italy
| | - Federica Invernizzi
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS, Istituto Neurologico "C. Besta", Milan, Italy
| | - Celeste Panteghini
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS, Istituto Neurologico "C. Besta", Milan, Italy
| | - Barbara Garavaglia
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS, Istituto Neurologico "C. Besta", Milan, Italy
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Rajcsanyi LS, Hoffmann A, Ghosh A, Matrisch-Dinkler B, Zheng Y, Peters T, Sun W, Dong H, Noé F, Wolfrum C, Herpertz-Dahlmann B, Seitz J, de Zwaan M, Herzog W, Ehrlich S, Zipfel S, Giel K, Egberts K, Burghardt R, Föcker M, Tsai LT, Müller TD, Blüher M, Hebebrand J, Hirtz R, Hinney A. Genetic variants in genes involved in creatine biosynthesis in patients with severe obesity or anorexia nervosa. Front Genet 2023; 14:1128133. [PMID: 37101650 PMCID: PMC10123275 DOI: 10.3389/fgene.2023.1128133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/27/2023] [Indexed: 04/28/2023] Open
Abstract
Increased thermogenesis in brown adipose tissue might have an obesity-reducing effect in humans. In transgenic mice, depletion of genes involved in creatine metabolism results in disrupted thermogenic capacity and altered effects of high-fat feeding on body weight. Data analyses of a sex-stratified genome-wide association study (GWAS) for body mass index (BMI) within the genomic regions of genes of this pathway (CKB, CKMT1B, and GATM) revealed one sex-dimorphic BMI-associated SNP in CKB (rs1136165). The effect size was larger in females than in males. A mutation screen of the coding regions of these three candidate genes in a screening group (192 children and adolescents with severe obesity, 192 female patients with anorexia nervosa, and 192 healthy-lean controls) identified five variants in each, CKB and GATM, and nine variants in the coding sequence of CKMT1B. Non-synonymous variants identified in CKB and CKMT1B were genotyped in an independent confirmation study group (781 families with severe obesity (trios), 320 children and adolescents with severe obesity, and 253 healthy-lean controls). In silico tools predicted mainly benign yet protein-destabilizing potentials. A transmission disequilibrium test in trios with severe obesity indicated an obesity-protective effect of the infrequent allele at rs149544188 located in CKMT1B. Subsequent correlation analyses in 1,479 individuals of the Leipzig Obesity BioBank revealed distinct correlations of CKB with the other two genes in omental visceral adipose tissue (VAT) and abdominal subcutaneous adipose tissue (SAT). Furthermore, between-subject comparisons of gene expression levels showed generally higher expressions of all three genes of interest in VAT than in SAT. Future in vitro analyses are needed to assess the functional implications of these findings.
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Affiliation(s)
- Luisa S. Rajcsanyi
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
| | - Anne Hoffmann
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Adhideb Ghosh
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Birgit Matrisch-Dinkler
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Yiran Zheng
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
| | - Triinu Peters
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
| | - Wenfei Sun
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Hua Dong
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Falko Noé
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Christian Wolfrum
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Beate Herpertz-Dahlmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of the RWTH Aachen, Aachen, Germany
| | - Jochen Seitz
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of the RWTH Aachen, Aachen, Germany
| | - Martina de Zwaan
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Wolfgang Herzog
- Department of Internal Medicine II, General Internal and Psychosomatic Medicine, University of Heidelberg, Heidelberg, Germany
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
- Eating Disorders Research and Treatment Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Stephan Zipfel
- Department of Psychosomatic Medicine and Psychotherapy, Medical University Hospital Tübingen, Tübingen, Germany
- Center of Excellence in Eating Disorders KOMET, Tübingen, Germany
| | - Katrin Giel
- Department of Psychosomatic Medicine and Psychotherapy, Medical University Hospital Tübingen, Tübingen, Germany
- Center of Excellence in Eating Disorders KOMET, Tübingen, Germany
| | - Karin Egberts
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Würzburg, Würzburg, Germany
| | - Roland Burghardt
- Child and Adolescent Psychiatry Clinic, Oberberg Fachklinik Fasanenkiez Berlin, Berlin, Germany
| | - Manuel Föcker
- Department of Child and Adolescent Psychiatry, University Hospital Münster, Münster, Germany
| | - Linus T. Tsai
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Timo D. Müller
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, München, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
| | - Raphael Hirtz
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Department of Pediatrics, Division of Rare Diseases, and CeSER, Ruhr-University Bochum, Bochum, Germany
- Department of Pediatric Endocrinology and Diabetology, Clinic for Pediatrics II, University Hospital Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, Essen, Germany
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7
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Shavitt RG, Sheshachala K, Hezel DM, Wall MM, Balachander S, Lochner C, Narayanaswamy JC, Costa DLC, de Mathis MA, van Balkom AJLM, de Joode NT, Narayan M, van den Heuvel OA, Stein DJ, Miguel EC, Simpson HB, Reddy YCJ. Measurement fidelity of clinical assessment methods in a global study on identifying reproducible brain signatures of obsessive-compulsive disorder. Neuropsychology 2023; 37:330-343. [PMID: 36442004 PMCID: PMC10073274 DOI: 10.1037/neu0000849] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE To describe the steps of ensuring measurement fidelity of core clinical measures in a five-country study on brain signatures of obsessive-compulsive disorder (OCD). METHOD We collected data using standardized instruments, which included the Yale-Brown Obsessive-Compulsive Scale (YBOCS), the Dimensional YBOCS (DYBOCS), the Brown Assessment of Beliefs Scale (BABS), the 17-item Hamilton Depression Scale (HAM-D), the Hamilton Anxiety Scale (HAM-A), and the Structured Clinical Interview for DSM-5 (SCID). Steps to ensure measurement fidelity included translating instruments, developing a clinical decision manual, and continuing reliability training with 11-13 transcripts of each instrument by 13 independent evaluators across sites over 4 years. We use multigroup confirmatory factor analysis (MGCFA) to report interrater reliability (IRR) among the evaluators and factor structure for each scale in 206 participants with OCD. RESULTS The overall IRR for most scales was high (ICC > 0.94) and remained good to excellent throughout the study. Consistent factor structures (configural invariance) were found for all instruments across the sites, while similarity in the factor loadings for the items (metric invariance) could be established only for the DYBOCS and the BABS. CONCLUSIONS It is feasible to achieve measurement fidelity of clinical measures in multisite, multilinguistic global studies, despite the challenges inherent to such endeavors. Future studies should not only report IRR but also consider reporting methods of standardization of data collection and measurement invariance to identify factor structures of core clinical measures. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Roseli G Shavitt
- Obsessive-Compulsive Spectrum Disorders Program (PROTOC-IPq-HCFMUSP)
| | | | | | | | | | - Christine Lochner
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders
| | | | - Daniel L C Costa
- Obsessive-Compulsive Spectrum Disorders Program (PROTOC-IPq-HCFMUSP)
| | | | | | | | | | | | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders
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8
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Ahlawat N, Geeta Arun M, Maggu K, Jigisha, Singh A, Prasad NG. Drosophila melanogaster hosts coevolving with Pseudomonas entomophila pathogen show sex-specific patterns of local adaptation. BMC Ecol Evol 2022; 22:77. [PMID: 35717176 PMCID: PMC9206745 DOI: 10.1186/s12862-022-02031-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 06/10/2022] [Indexed: 11/18/2022] Open
Abstract
Background In spatially structured populations, local adaptation improves organisms’ fitness in their native environment. Hosts and pathogens can rapidly adapt to their local antagonist. Since males and females can differ in their immunocompetence, the patterns of local adaptation can be different between the sexes. However, there is little information about sex differences in local adaptation in host–pathogen systems. Results In the current study, we experimentally coevolved four different replicate populations of Drosophila melanogaster (host) and Pseudomonas entomophila (pathogen) along with appropriate controls. We used the four host–pathogen coevolution populations to investigate the occurrence of local adaptation separately in males and females of the coevolving hosts. We also assessed local adaptation in pathogens. We set up a reciprocal infection experiment where we infected each of the four coevolving hosts with their local pathogen or non-local pathogens from the other three replicate populations. We found that overall, male and female hosts had better survivorship when infected with local pathogens, indicating that they were locally adapted. Interestingly, males were more susceptible to non-local pathogens compared to females. In addition, we found no fecundity cost in females infected with either local or non-local pathogens. We found no evidence of local adaptation among the pathogens. Conclusion Our study showed sex-specific adaptation in the coevolving hosts where female hosts had a broader response against allopatric coevolving pathogens with no cost in fecundity. Thus, our results might suggest a novel mechanism that can maintain variation in susceptibility in spatially structured populations. Supplementary Information The online version contains supplementary material available at 10.1186/s12862-022-02031-8.
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9
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Carvalho MRS, Barbosa de Carvalho AH, Paiva GM, Andrade Jorge CDC, Dos Santos FC, Koltermann G, de Salles JF, Moeller K, Maia de Oliveira Wood G, Haase VG. MAOA-LPR polymorphism and math anxiety: A marker of genetic susceptibility to social influences in girls? Ann N Y Acad Sci 2022; 1516:135-150. [PMID: 35765118 DOI: 10.1111/nyas.14814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Math anxiety (MA) seems to result from an interaction of genetic vulnerability with negative experiences learning mathematics. Although mathematics achievement does not substantially differ between the sexes, MA levels are usually higher in girls. Molecular genetic markers of MA vulnerability have been seldom explored. This article examines the contribution of the monoamine oxidase A gene (MAOA) to MA and to sex differences in MA. Five hundred and sixty-eight third to fifth graders were genotyped for the MAOA-LPR polymorphism (a repetitive element in MAOA promoter that has been associated with MAOA enzymatic activity), and assessed on general cognitive ability, mathematics achievement, and the cognitive and affective dimensions of MA. MAOA-LPR genotypes were classified as high (MAOA-H) or low (MAOA-L) according to their predicted enzymatic activity. Mixed models controlling for effects of school, sex, general cognitive ability, and mathematics achievement were evaluated. The best fitting model included school, math achievement, sex, MAOA-LPR, and the MAOA-LPR by sex interaction. This indicated that under the MAOA-H dominant model, anxiety toward mathematics interacted with the MAOA genotype: girls with an MAOA-L genotype exhibited higher levels of MA, with a small but significant effect. The association between MAOA-L genotype and MA in girls may represent an example of developmental plasticity.
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Affiliation(s)
- Maria Raquel Santos Carvalho
- Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Programa de Pós-graduação em Genética, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - André Henrique Barbosa de Carvalho
- Programa de Pós-graduação em Genética, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Giulia Moreira Paiva
- Programa de Pós graduação em Neurociências, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Carolina de Castro Andrade Jorge
- Programa de Pós-graduação em Genética, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Fernanda Caroline Dos Santos
- Programa de Pós-graduação em Genética, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Gabriella Koltermann
- Programa de Pós-graduação em Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Jerusa Fumagalli de Salles
- Programa de Pós-graduação em Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Departamento de Psicologia do Desenvolvimento e da Personalidade, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Korbinian Moeller
- Centre for Mathematical Cognition, Loughborough University, Loughborough, UK.,Leibniz-Institut fuer Wissensmedien, Tuebingen, Germany.,LEAD Graduate School & Research Network, University of Tuebingen, Tuebingen, Germany.,Individual Differences and Adaptive Education Centre, Frankfurt am Main, Germany
| | | | - Vitor Geraldi Haase
- Programa de Pós graduação em Neurociências, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Departamento de Psicologia, Faculdade de Filosofia e Ciências Humanas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Programa de Pós-graduação em Psicologia: Cognição e Comportamento, Faculdade de Filosofia e Ciências Humanas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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10
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PTBP2 - a gene with relevance for both Anorexia nervosa and body weight regulation. Transl Psychiatry 2022; 12:241. [PMID: 35680849 PMCID: PMC9184595 DOI: 10.1038/s41398-022-02018-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 05/23/2022] [Accepted: 06/01/2022] [Indexed: 12/14/2022] Open
Abstract
Genetic factors are relevant for both eating disorders and body weight regulation. A recent genome-wide association study (GWAS) for anorexia nervosa (AN) detected eight genome-wide significant chromosomal loci. One of these loci, rs10747478, was also genome-wide and significantly associated with body mass index (BMI). The nearest coding gene is the Polypyrimidine Tract Binding Protein 2 gene (PTBP2). To detect mutations in PTBP2, Sanger sequencing of the coding region was performed in 192 female patients with AN (acute or recovered) and 191 children or adolescents with (extreme) obesity. Twenty-five variants were identified. Twenty-three of these were predicted to be pathogenic or functionally relevant in at least one in silico tool. Two novel synonymous variants (p.Ala77Ala and p.Asp195Asp), one intronic SNP (rs188987764), and the intronic deletion (rs561340981) located in the highly conserved region of PTBP2 may have functional consequences. Ten of 20 genes interacting with PTBP2 were studied for their impact on body weight regulation based on either previous functional studies or GWAS hits for body weight or BMI. In a GWAS for BMI (Pulit et al. 2018), the number of genome-wide significant associations at the PTBP2 locus was different between males (60 variants) and females (two variants, one of these also significant in males). More than 65% of these 61 variants showed differences in the effect size pertaining to BMI between sexes (absolute value of Z-score >2, two-sided p < 0.05). One LD block overlapping 5'UTR and all coding regions of PTBP2 comprises 56 significant variants in males. The analysis based on sex-stratified BMI GWAS summary statistics implies that PTBP2 may have a more pronounced effect on body weight regulation in males than in females.
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11
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Pangilinan F, Watkins D, Bernard D, Chen Y, Dong N, Wu Q, Ozel-Abaan H, Kaur M, Caggana M, Morrissey M, Browne ML, Mills JL, Van Ryzin C, Shchelochkov O, Sloan J, Venditti CP, Sarafoglou K, Rosenblatt DS, Kay DM, Brody LC. Probing the functional consequence and clinical relevance of CD320 p.E88del, a variant in the transcobalamin receptor gene. Am J Med Genet A 2022; 188:1124-1141. [PMID: 35107211 DOI: 10.1002/ajmg.a.62627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/12/2021] [Accepted: 11/20/2021] [Indexed: 11/06/2022]
Abstract
The biological and clinical significance of the p.E88del variant in the transcobalamin receptor, CD320, is unknown. This allele is annotated in ClinVar as likely benign, pathogenic, and of uncertain significance. To determine functional consequence and clinical relevance of this allele, we employed cell culture and genetic association studies. Fibroblasts from 16 CD320 p.E88del homozygotes exhibited reduced binding and uptake of cobalamin. Complete ascertainment of newborns with transiently elevated C3 (propionylcarnitine) in New York State demonstrated that homozygosity for CD320 p.E88del was over-represented (7/348, p < 6 × 10-5 ). Using population data, we estimate that ~85% of the p.E88del homozygotes born in the same period did not have elevated C3, suggesting that cobalamin metabolism in the majority of these infants with this genotype is unaffected. Clinical follow-up of 4/9 homozygous individuals uncovered neuropsychological findings, mostly in speech and language development. None of these nine individuals exhibited perturbation of cobalamin metabolism beyond the newborn stage even during periods of acute illness. Newborns homozygous for this allele in the absence of other factors are at low risk of requiring clinical intervention, although more studies are required to clarify the natural history of various CD320 variants across patient populations.
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Affiliation(s)
- Faith Pangilinan
- Genetics and Environment Interaction Section, National Human Genome Research Institute, National Institutes of Health, Maryland, USA
| | - David Watkins
- Department of Human Genetics, McGill University and Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - David Bernard
- Genetics and Environment Interaction Section, National Human Genome Research Institute, National Institutes of Health, Maryland, USA
| | - Yue Chen
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, State Key Laboratory of Radiation Medicine and Prevention, Soochow University, Suzhou, China
| | - Ningzheng Dong
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, State Key Laboratory of Radiation Medicine and Prevention, Soochow University, Suzhou, China.,MOH Key Laboratory of Thrombosis and Hemostasis, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Qingyu Wu
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, State Key Laboratory of Radiation Medicine and Prevention, Soochow University, Suzhou, China
| | - Hatice Ozel-Abaan
- Genetics and Environment Interaction Section, National Human Genome Research Institute, National Institutes of Health, Maryland, USA
| | - Manjit Kaur
- Genetics and Environment Interaction Section, National Human Genome Research Institute, National Institutes of Health, Maryland, USA
| | - Michele Caggana
- Division of Genetics, Wadsworth Center, New York State Department of Health, Albany, New York, USA
| | - Mark Morrissey
- Division of Genetics, Wadsworth Center, New York State Department of Health, Albany, New York, USA
| | - Marilyn L Browne
- Birth Defects Registry, New York State Department of Health, Albany, New York and University at Albany School of Public Health, Rensselaer, New York, USA
| | - James L Mills
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| | - Carol Van Ryzin
- Organic Acid Research Section, National Human Genome Research Institute, National Institutes of Health, Maryland, USA
| | - Oleg Shchelochkov
- Organic Acid Research Section, National Human Genome Research Institute, National Institutes of Health, Maryland, USA
| | - Jennifer Sloan
- Organic Acid Research Section, National Human Genome Research Institute, National Institutes of Health, Maryland, USA
| | - Charles P Venditti
- Organic Acid Research Section, National Human Genome Research Institute, National Institutes of Health, Maryland, USA
| | - Kyriakie Sarafoglou
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - David S Rosenblatt
- Department of Human Genetics, McGill University and Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.,Division of Medical Biochemistry, Department of Specialized Medicine, McGill University Health Centre, Montreal, Quebec, Canada.,Division of Medical Genetics, Department of Specialized Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - Denise M Kay
- Division of Genetics, Wadsworth Center, New York State Department of Health, Albany, New York, USA
| | - Lawrence C Brody
- Genetics and Environment Interaction Section, National Human Genome Research Institute, National Institutes of Health, Maryland, USA
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12
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A scoping review and comparison of approaches for measuring genetic heterogeneity in psychiatric disorders. Psychiatr Genet 2022; 32:1-8. [PMID: 34694248 DOI: 10.1097/ypg.0000000000000304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
An improved understanding of genetic etiological heterogeneity in a psychiatric condition may help us (a) isolate a neurophysiological 'final common pathway' by identifying its upstream genetic origins and (b) facilitate characterization of the condition's phenotypic variation. This review aims to identify existing genetic heterogeneity measurements in the psychiatric literature and provides a conceptual review of their mechanisms, limitations, and assumptions. The Scopus database was searched for studies that quantified genetic heterogeneity or correlation of psychiatric phenotypes with human genetic data. Ninety studies were included. Eighty-seven reports quantified genetic correlation, five applied genomic structural equation modelling, three evaluated departure from the Hardy-Weinberg equilibrium at one or more loci, and two applied a novel approach known as MiXeR. We found no study that rigorously measured genetic etiological heterogeneity across a large number of markers. Developing such approaches may help better characterize the biological diversity of psychopathology.
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13
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Blokland GAM, Grove J, Chen CY, Cotsapas C, Tobet S, Handa R, St Clair D, Lencz T, Mowry BJ, Periyasamy S, Cairns MJ, Tooney PA, Wu JQ, Kelly B, Kirov G, Sullivan PF, Corvin A, Riley BP, Esko T, Milani L, Jönsson EG, Palotie A, Ehrenreich H, Begemann M, Steixner-Kumar A, Sham PC, Iwata N, Weinberger DR, Gejman PV, Sanders AR, Buxbaum JD, Rujescu D, Giegling I, Konte B, Hartmann AM, Bramon E, Murray RM, Pato MT, Lee J, Melle I, Molden E, Ophoff RA, McQuillin A, Bass NJ, Adolfsson R, Malhotra AK, Martin NG, Fullerton JM, Mitchell PB, Schofield PR, Forstner AJ, Degenhardt F, Schaupp S, Comes AL, Kogevinas M, Guzman-Parra J, Reif A, Streit F, Sirignano L, Cichon S, Grigoroiu-Serbanescu M, Hauser J, Lissowska J, Mayoral F, Müller-Myhsok B, Świątkowska B, Schulze TG, Nöthen MM, Rietschel M, Kelsoe J, Leboyer M, Jamain S, Etain B, Bellivier F, Vincent JB, Alda M, O'Donovan C, Cervantes P, Biernacka JM, Frye M, McElroy SL, Scott LJ, Stahl EA, Landén M, Hamshere ML, Smeland OB, Djurovic S, Vaaler AE, Andreassen OA, Baune BT, Air T, Preisig M, Uher R, Levinson DF, Weissman MM, Potash JB, Shi J, Knowles JA, Perlis RH, Lucae S, Boomsma DI, Penninx BWJH, Hottenga JJ, de Geus EJC, Willemsen G, Milaneschi Y, Tiemeier H, Grabe HJ, Teumer A, Van der Auwera S, Völker U, Hamilton SP, Magnusson PKE, Viktorin A, Mehta D, Mullins N, Adams MJ, Breen G, McIntosh AM, Lewis CM, Hougaard DM, Nordentoft M, Mors O, Mortensen PB, Werge T, Als TD, Børglum AD, Petryshen TL, Smoller JW, Goldstein JM. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders. Biol Psychiatry 2022; 91:102-117. [PMID: 34099189 PMCID: PMC8458480 DOI: 10.1016/j.biopsych.2021.02.972] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 02/11/2021] [Accepted: 02/12/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. METHODS We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. RESULTS Across disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10-8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10-6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10-7; rs73033497, p = 8.8 × 10-7; rs7914279, p = 6.4 × 10-7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10-7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10-7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10-7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). CONCLUSIONS In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.
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Affiliation(s)
- Gabriëlla A M Blokland
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
| | - Jakob Grove
- Department of Biomedicine, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark; Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark; Bioinformatics Research Centre (BiRC), Aarhus, Denmark
| | - Chia-Yen Chen
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Biogen Inc., Cambridge, Massachusetts
| | - Chris Cotsapas
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Departments of Neurology and Genetics, Yale School of Medicine, New Haven, Connecticut
| | - Stuart Tobet
- Innovation Center on Sex Differences in Medicine (ICON), Massachusetts General Hospital, Boston, Massachusetts; Department of Biomedical Sciences, Colorado State University, Fort Collins, Colorado
| | - Robert Handa
- Innovation Center on Sex Differences in Medicine (ICON), Massachusetts General Hospital, Boston, Massachusetts; Department of Biomedical Sciences, Colorado State University, Fort Collins, Colorado
| | - David St Clair
- University of Aberdeen, Institute of Medical Sciences, Aberdeen, United Kingdom
| | - Todd Lencz
- The Feinstein Institute for Medical Research, Manhasset, New York; The Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; The Zucker Hillside Hospital, Glen Oaks, New York
| | - Bryan J Mowry
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia; Queensland Centre for Mental Health Research, University of Queensland, Brisbane, Queensland, Australia
| | - Sathish Periyasamy
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia; Queensland Centre for Mental Health Research, The Park - Centre for Mental Health, Wacol, Queensland, Australia
| | - Murray J Cairns
- Schizophrenia Research Institute, Sydney, New South Wales, Australia; School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia; Priority Centre for Translational Neuroscience and Mental Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - Paul A Tooney
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia; Priority Centre for Translational Neuroscience and Mental Health, University of Newcastle, Newcastle, New South Wales, Australia; Schizophrenia Research Institute, Sydney, New South Wales, Australia
| | - Jing Qin Wu
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia; Schizophrenia Research Institute, Sydney, New South Wales, Australia
| | - Brian Kelly
- Priority Centre for Translational Neuroscience and Mental Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - George Kirov
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Patrick F Sullivan
- Departments of Genetics and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Brien P Riley
- Virginia Institute for Psychiatric and Behavioral Genetics, Departments of Psychiatry and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Tõnu Esko
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Lili Milani
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Erik G Jönsson
- Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institutet, Stockholm, Sweden; Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Aarno Palotie
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Hannelore Ehrenreich
- Department of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Martin Begemann
- Department of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Agnes Steixner-Kumar
- Department of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Pak C Sham
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR China; State Key Laboratory for Brain and Cognitive Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR China; Centre for Genomic Sciences, The University of Hong Kong, Hong Kong, SAR China
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Baltimore, Maryland; Departments of Psychiatry, Neurology, Neuroscience and Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Pablo V Gejman
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois; Department of Psychiatry and Behavioral Sciences, North Shore University Health System, Evanston, Illinois
| | - Alan R Sanders
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois; Department of Psychiatry and Behavioral Sciences, North Shore University Health System, Evanston, Illinois
| | - Joseph D Buxbaum
- Departments of Human Genetics and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Dan Rujescu
- Department of Psychiatry, University of Halle, Halle, Germany; Department of Psychiatry, University of Munich, Munich, Germany
| | - Ina Giegling
- Department of Psychiatry, University of Halle, Halle, Germany; Department of Psychiatry, University of Munich, Munich, Germany
| | - Bettina Konte
- Department of Psychiatry, University of Halle, Halle, Germany
| | | | - Elvira Bramon
- Mental Health Neuroscience Research Department, Division of Psychiatry, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Robin M Murray
- Institute of Psychiatry, King's College London, London, United Kingdom
| | - Michele T Pato
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, New York; Department of Psychiatry and Zilkha Neurogenetics Institute, Keck School of Medicine at University of Southern California, Los Angeles, California
| | - Jimmy Lee
- Research Division and Department of General Psychiatry, Institute of Mental Health, Singapore, Singapore; Duke-National University of Singapore Graduate Medical School, Singapore
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Espen Molden
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway; Department of Pharmaceutical Biosciences, School of Pharmacy, University of Oslo, Oslo, Norway
| | - Roel A Ophoff
- University Medical Center Utrecht, Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands; Department of Human Genetics, University of California, Los Angeles, California; David Geffen School of Medicine, and Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California
| | - Andrew McQuillin
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, United Kingdom
| | - Nicholas J Bass
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, United Kingdom
| | - Rolf Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå University Medical Faculty, Umeå, Sweden
| | - Anil K Malhotra
- The Feinstein Institute for Medical Research, Manhasset, New York; The Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; The Zucker Hillside Hospital, Glen Oaks, New York
| | - Nicholas G Martin
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia; Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Janice M Fullerton
- Neuroscience Research Australia, Sydney, New South Wales, Australia; School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia; School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Andreas J Forstner
- Centre for Human Genetics, University of Marburg, Marburg, Germany; Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany; Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
| | - Sabrina Schaupp
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Ashley L Comes
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany; International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | | | - José Guzman-Parra
- Mental Health Department, University Regional Hospital, Biomedical Research Institute of Málaga (IBIMA), Málaga, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Maria Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - Joanna Hauser
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - Jolanta Lissowska
- Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Fermin Mayoral
- Mental Health Department, University Regional Hospital, Biomedical Research Institute of Málaga (IBIMA), Málaga, Spain
| | - Bertram Müller-Myhsok
- University of Liverpool, Liverpool, United Kingdom; Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Beata Świątkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Thomas G Schulze
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland; Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany; Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - John Kelsoe
- Department of Psychiatry, University of California San Diego, La Jolla, California
| | - Marion Leboyer
- Faculté de Médecine, Université Paris Est, Créteil, France; Department of Psychiatry and Addiction Medicine, Assistance Publique - Hôpitaux de Paris, Paris, France; Institut national de la santé et de la recherche médicale (INSERM), Paris, France
| | - Stéphane Jamain
- Faculté de Médecine, Université Paris Est, Créteil, France; INSERM U955, Psychiatrie Translationnelle, Créteil, France
| | - Bruno Etain
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom; Department of Psychiatry and Addiction Medicine, Assistance Publique - Hôpitaux de Paris, Paris, France; UMR-S1144 Team 1 Biomarkers of relapse and therapeutic response in addiction and mood disorders, INSERM, Paris, France; Psychiatry, Université Paris Diderot, Paris, France
| | - Frank Bellivier
- Department of Psychiatry and Addiction Medicine, Assistance Publique - Hôpitaux de Paris, Paris, France; UMR-S1144 Team 1 Biomarkers of relapse and therapeutic response in addiction and mood disorders, INSERM, Paris, France; Psychiatry, Université Paris Diderot, Paris, France; Paris Bipolar and TRD Expert Centres, FondaMental Foundation, Paris, France
| | - John B Vincent
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; National Institute of Mental Health, Klecany, Czech Republic
| | - Claire O'Donovan
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Pablo Cervantes
- Department of Psychiatry, Mood Disorders Program, McGill University Health Center, Montréal, Québec, Canada
| | - Joanna M Biernacka
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Mark Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota
| | | | - Laura J Scott
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Eli A Stahl
- Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Institute of Neuroscience and Physiology, the Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
| | - Marian L Hamshere
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Olav B Smeland
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; NORMENT Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Arne E Vaaler
- Department of Mental Health, Norwegian University of Science and Technology - NTNU, Trondheim, Norway; Department of Psychiatry, St Olavs' University Hospital, Trondheim, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Bernhard T Baune
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia; Department of Psychiatry, University of Münster, Münster, Germany
| | - Tracy Air
- Discipline of Psychiatry, The University of Adelaide, Adelaide, South Austrlalia, Australia
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Douglas F Levinson
- Psychiatry & Behavioral Sciences, Stanford University, Stanford, California
| | - Myrna M Weissman
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - James B Potash
- Department of Psychiatry, University of Iowa, Iowa City, Iowa
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - James A Knowles
- Psychiatry & The Behavioral Sciences, University of Southern California, Los Angeles, California
| | - Roy H Perlis
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Susanne Lucae
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany
| | - Dorret I Boomsma
- Department of Biological Psychology/Netherlands Twin Register, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, the Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology/Netherlands Twin Register, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands
| | - Eco J C de Geus
- Department of Biological Psychology/Netherlands Twin Register, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology/Netherlands Twin Register, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, the Netherlands
| | - Henning Tiemeier
- Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Alexander Teumer
- Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | | | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Alexander Viktorin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Divya Mehta
- School of Psychology and Counseling, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Niamh Mullins
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Social, Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Gerome Breen
- NIHR Maudsley Biomedical Research Centre, King's College London, London, United Kingdom
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
| | - Cathryn M Lewis
- Department of Medical & Molecular Genetics, King's College London, London, United Kingdom
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark; Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark; Copenhagen Mental Health Center, Mental Health Services Capital Region of Denmark Copenhagen, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark; Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark
| | - Preben B Mortensen
- Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark; National Centre for Register-Based Research (NCCR), Aarhus University, Aarhus, Denmark; Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
| | - Thomas Werge
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
| | - Thomas D Als
- Department of Biomedicine, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark; Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark
| | - Anders D Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark; Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark
| | - Tracey L Petryshen
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Concert Pharmaceuticals, Inc., Lexington, Massachusetts
| | - Jordan W Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jill M Goldstein
- Innovation Center on Sex Differences in Medicine (ICON), Massachusetts General Hospital, Boston, Massachusetts; Department of Psychiatry and Vincent Department of Obstetrics, Gynecology & Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts; MGH-MIT-HMS Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts; Departments of Psychiatry and Medicine, Harvard Medical School, Boston, Massachusetts.
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Szejko N, Dunalska A, Lombroso A, McGuire JF, Piacentini J. Genomics of Obsessive-Compulsive Disorder-Toward Personalized Medicine in the Era of Big Data. Front Pediatr 2021; 9:685660. [PMID: 34746045 PMCID: PMC8564378 DOI: 10.3389/fped.2021.685660] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 09/20/2021] [Indexed: 01/11/2023] Open
Abstract
Pathogenesis of obsessive-compulsive disorder (OCD) mainly involves dysregulation of serotonergic neurotransmission, but a number of other factors are involved. Genetic underprints of OCD fall under the category of "common disease common variant hypothesis," that suggests that if a disease that is heritable is common in the population (a prevalence >1-5%), then the genetic contributors-specific variations in the genetic code-will also be common in the population. Therefore, the genetic contribution in OCD is believed to come from multiple genes simultaneously and it is considered a polygenic disorder. Genomics offers a number of advanced tools to determine causal relationship between the exposure and the outcome of interest. Particularly, methods such as polygenic risk score (PRS) or Mendelian Randomization (MR) enable investigation of new pathways involved in OCD pathogenesis. This premise is also facilitated by the existence of publicly available databases that include vast study samples. Examples include population-based studies such as UK Biobank, China Kadoorie Biobank, Qatar Biobank, All of US Program sponsored by National Institute of Health or Generations launched by Yale University, as well as disease-specific databases, that include patients with OCD and co-existing pathologies, with the following examples: Psychiatric Genomics Consortium (PGC), ENIGMA OCD, The International OCD Foundation Genetics Collaborative (IOCDF-GC) or OCD Collaborative Genetic Association Study. The aim of this review is to present a comprehensive overview of the available Big Data resources for the study of OCD pathogenesis in the context of genomics and demonstrate that OCD should be considered a disorder which requires the approaches offered by personalized medicine.
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Affiliation(s)
- Natalia Szejko
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
- Department of Neurology, Medical University of Warsaw, Warsaw, Poland
- Department of Bioethics, Medical University of Warsaw, Warsaw, Poland
| | - Anna Dunalska
- Department of Neurology, Medical University of Warsaw, Warsaw, Poland
| | - Adam Lombroso
- Child Study Center, Yale School of Medicine, New Haven, CT, United States
| | - Joseph F. McGuire
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MS, United States
- Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - John Piacentini
- Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
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15
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Mahjani B, Bey K, Boberg J, Burton C. Genetics of obsessive-compulsive disorder. Psychol Med 2021; 51:2247-2259. [PMID: 34030745 PMCID: PMC8477226 DOI: 10.1017/s0033291721001744] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 04/11/2021] [Accepted: 04/20/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a psychiatric disorder with multiple symptom dimensions (e.g. contamination, symmetry). OCD clusters in families and decades of twin studies clearly demonstrate an important role for genetics in the etiology of the disorder. METHODS In this review, we summarize the genetic epidemiology and molecular genetic studies of OCD and obsessive-compulsive symptoms. RESULTS OCD is a heritable, polygenic disorder with contributions from both common and rare variants, including de novo deleterious variations. Multiple studies have provided reliable support for a large additive genetic contribution to liability to OCD, with discrete OCD symptom dimensions having both shared and unique genetic risks. Genome-wide association studies have not produced significant results yet, likely because of small sample sizes, but larger meta-analyses are forthcoming. Both twin and genome-wide studies show that OCD shares genetic risk with its comorbid conditions (e.g. Tourette syndrome and anorexia nervosa). CONCLUSIONS Despite significant efforts to uncover the genetic basis of OCD, the mechanistic understanding of how genetic and environmental risk factors interact and converge at the molecular level to result in OCD's heterogeneous phenotype is still mostly unknown. Future investigations should increase ancestral genetic diversity, explore age and/or sex differences in genetic risk for OCD and expand the study of pharmacogenetics, gene expression, gene × environment interactions and epigenetic mechanisms for OCD.
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Affiliation(s)
- Behrang Mahjani
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Tics, Obsessive-Compulsive Disorder (OCD) and Related Disorders, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Katharina Bey
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Julia Boberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Christie Burton
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Canada
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16
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Urbanek ME, Zuo J. Genetic predisposition to tinnitus in the UK Biobank population. Sci Rep 2021; 11:18150. [PMID: 34518561 PMCID: PMC8437971 DOI: 10.1038/s41598-021-97350-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 08/17/2021] [Indexed: 01/10/2023] Open
Abstract
Tinnitus, the phantom perception of noise originating from the inner ear, has been reported by 15% of the world's population, with many patients reporting major deficits to cognition and mood. However, both objective diagnostic tools and targeted therapeutic strategies have yet to be established. To better understand the underlying genes that may preclude tinnitus, we performed a genome-wide association study of the UK Biobank's 49,960 whole exome sequencing participants to identify any loci strongly associated with tinnitus. We identified 17 suggestive single nucleotide polymorphisms (p < 1e-5) spanning 13 genes in two sex-separated cohorts reporting chronic, bothersome tinnitus (control males n = 7,315, tinnitus males n = 226, control females n = 11,732, tinnitus females n = 300). We also found a significant missense mutation in WDPCP (p = 3.959e-10) in the female cohort, a mutation which has been previously implicated in typical neuronal functioning through axonal migration and structural reinforcement, as well as in Bardet-Biedl syndrome-15, a ciliopathy. Additionally, in situ hybridization in the embryonic and P56 mouse brain demonstrated that the majority of these genes are expressed within the dorsal cochlear nucleus, the region of the brain theorized to initially induce tinnitus. Further RT-qPCR and RNAScope data also reveals this expression pattern. The results of this study indicate that predisposition to tinnitus may span across multiple genomic loci and be established by weakened neuronal circuitry and maladaptive cytoskeletal modifications within the dorsal cochlear nucleus.
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Affiliation(s)
- Madeleine E Urbanek
- Department of Biomedical Sciences, Creighton University School of Medicine, Omaha, NE, USA.,Department of Biology, Creighton University College of Arts and Sciences, Omaha, NE, USA
| | - Jian Zuo
- Department of Biomedical Sciences, Creighton University School of Medicine, Omaha, NE, USA.
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17
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Strom NI, Grove J, Meier SM, Bækvad-Hansen M, Becker Nissen J, Damm Als T, Halvorsen M, Nordentoft M, Mortensen PB, Hougaard DM, Werge T, Mors O, Børglum AD, Crowley JJ, Bybjerg-Grauholm J, Mattheisen M. Polygenic Heterogeneity Across Obsessive-Compulsive Disorder Subgroups Defined by a Comorbid Diagnosis. Front Genet 2021; 12:711624. [PMID: 34531895 PMCID: PMC8438210 DOI: 10.3389/fgene.2021.711624] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 07/27/2021] [Indexed: 01/20/2023] Open
Abstract
Among patients with obsessive-compulsive disorder (OCD), 65-85% manifest another psychiatric disorder concomitantly or at some other time point during their life. OCD is highly heritable, as are many of its comorbidities. A possible genetic heterogeneity of OCD in relation to its comorbid conditions, however, has not yet been exhaustively explored. We used a framework of different approaches to study the genetic relationship of OCD with three commonly observed comorbidities, namely major depressive disorder (MDD), attention-deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD). First, using publicly available summary statistics from large-scale genome-wide association studies, we compared genetic correlation patterns for OCD, MDD, ADHD, and ASD with 861 somatic and mental health phenotypes. Secondly, we examined how polygenic risk scores (PRS) of eight traits that showed heterogeneous correlation patterns with OCD, MDD, ADHD, and ASD partitioned across comorbid subgroups in OCD using independent unpublished data from the Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH). The comorbid subgroups comprised of patients with only OCD (N = 366), OCD and MDD (N = 1,052), OCD and ADHD (N = 443), OCD and ASD (N = 388), and OCD with more than 1 comorbidity (N = 429). We found that PRS of all traits but BMI were significantly associated with OCD across all subgroups (neuroticism: p = 1.19 × 10-32, bipolar disorder: p = 7.51 × 10-8, anorexia nervosa: p = 3.52 × 10-20, age at first birth: p = 9.38 × 10-5, educational attainment: p = 1.56 × 10-4, OCD: p = 1.87 × 10-6, insomnia: p = 2.61 × 10-5, BMI: p = 0.15). For age at first birth, educational attainment, and insomnia PRS estimates significantly differed across comorbid subgroups (p = 2.29 × 10-4, p = 1.63 × 10-4, and p = 0.045, respectively). Especially for anorexia nervosa, age at first birth, educational attainment, insomnia, and neuroticism the correlation patterns that emerged from genetic correlation analysis of OCD, MDD, ADHD, and ASD were mirrored in the PRS associations with the respective comorbid OCD groups. Dissecting the polygenic architecture, we found both quantitative and qualitative polygenic heterogeneity across OCD comorbid subgroups.
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Affiliation(s)
- Nora I. Strom
- Department of Psychology, Humboldt Universität zu Berlin, Berlin, Germany
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Biomedicine and the iSEQ Center, Aarhus University, Aarhus, Denmark
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Jakob Grove
- Department of Biomedicine and the iSEQ Center, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Sandra M. Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Marie Bækvad-Hansen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Judith Becker Nissen
- Center for Child and Adolescent Psychiatry, Aarhus University Hospital Risskov, Risskov, Denmark
| | - Thomas Damm Als
- Department of Biomedicine and the iSEQ Center, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Matthew Halvorsen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, United States
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Research Centre for Mental Health (CORE), Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Preben B. Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - David M. Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Copenhagen, Denmark
- Lundbeck Foundation Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Anders D. Børglum
- Department of Biomedicine and the iSEQ Center, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - James J. Crowley
- Department of Genetics, University of North Carolina, Chapel Hill, NC, United States
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Manuel Mattheisen
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Biomedicine and the iSEQ Center, Aarhus University, Aarhus, Denmark
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
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18
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Halvorsen M, Samuels J, Wang Y, Greenberg BD, Fyer AJ, McCracken JT, Geller DA, Knowles JA, Zoghbi AW, Pottinger TD, Grados MA, Riddle MA, Bienvenu OJ, Nestadt PS, Krasnow J, Goes FS, Maher B, Nestadt G, Goldstein DB. Exome sequencing in obsessive-compulsive disorder reveals a burden of rare damaging coding variants. Nat Neurosci 2021; 24:1071-1076. [PMID: 34183866 DOI: 10.1038/s41593-021-00876-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 05/18/2021] [Indexed: 02/05/2023]
Abstract
Obsessive-compulsive disorder (OCD) affects 1-2% of the population, and, as with other complex neuropsychiatric disorders, it is thought that rare variation contributes to its genetic risk. In this study, we performed exome sequencing in the largest OCD cohort to date (1,313 total cases, consisting of 587 trios, 41 quartets and 644 singletons of affected individuals) and describe contributions to disease risk from rare damaging coding variants. In case-control analyses (n = 1,263/11,580), the most significant single-gene result was observed in SLITRK5 (odds ratio (OR) = 8.8, 95% confidence interval 3.4-22.5, P = 2.3 × 10-6). Across the exome, there was an excess of loss of function (LoF) variation specifically within genes that are LoF-intolerant (OR = 1.33, P = 0.01). In an analysis of trios, we observed an excess of de novo missense predicted damaging variants relative to controls (OR = 1.22, P = 0.02), alongside an excess of de novo LoF mutations in LoF-intolerant genes (OR = 2.55, P = 7.33 × 10-3). These data support a contribution of rare coding variants to OCD genetic risk.
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Affiliation(s)
- Mathew Halvorsen
- Department of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jack Samuels
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ying Wang
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Benjamin D Greenberg
- Department of Psychiatry and Human Behavior, Brown Medical School, Providence, RI, USA
| | - Abby J Fyer
- New York State Psychiatric Institute, College of Physicians and Surgeons at Columbia University, New York, NY, USA
| | - James T McCracken
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at Los Angeles, Los Angeles, CA, USA
| | - Daniel A Geller
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - James A Knowles
- SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | - Anthony W Zoghbi
- New York State Psychiatric Institute, College of Physicians and Surgeons at Columbia University, New York, NY, USA
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA
| | - Tess D Pottinger
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA
| | - Marco A Grados
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mark A Riddle
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - O Joseph Bienvenu
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Paul S Nestadt
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Janice Krasnow
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brion Maher
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Gerald Nestadt
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA.
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19
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Strom NI, Soda T, Mathews CA, Davis LK. A dimensional perspective on the genetics of obsessive-compulsive disorder. Transl Psychiatry 2021; 11:401. [PMID: 34290223 PMCID: PMC8295308 DOI: 10.1038/s41398-021-01519-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 06/04/2021] [Accepted: 06/16/2021] [Indexed: 12/21/2022] Open
Abstract
This review covers recent findings in the genomics of obsessive-compulsive disorder (OCD), obsessive-compulsive symptoms, and related traits from a dimensional perspective. We focus on discoveries stemming from technical and methodological advances of the past five years and present a synthesis of human genomics research on OCD. On balance, reviewed studies demonstrate that OCD is a dimensional trait with a highly polygenic architecture and genetic correlations to multiple, often comorbid psychiatric phenotypes. We discuss the phenotypic and genetic findings of these studies in the context of the dimensional framework, relying on a continuous phenotype definition, and contrast these observations with discoveries based on a categorical diagnostic framework, relying on a dichotomous case/control definition. Finally, we highlight gaps in knowledge and new directions for OCD genetics research.
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Affiliation(s)
- Nora I Strom
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Department of Psychology, Humboldt Universität zu Berlin, Berlin, Germany
| | - Takahiro Soda
- Department of Psychiatry, Duke University, Durham, NC, USA
| | - Carol A Mathews
- Department of Psychiatry, University of Florida, Gainesville, FL, USA
| | - Lea K Davis
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
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20
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Martin J, Khramtsova EA, Goleva SB, Blokland GAM, Traglia M, Walters RK, Hübel C, Coleman JRI, Breen G, Børglum AD, Demontis D, Grove J, Werge T, Bralten J, Bulik CM, Lee PH, Mathews CA, Peterson RE, Winham SJ, Wray N, Edenberg HJ, Guo W, Yao Y, Neale BM, Faraone SV, Petryshen TL, Weiss LA, Duncan LE, Goldstein JM, Smoller JW, Stranger BE, Davis LK. Examining Sex-Differentiated Genetic Effects Across Neuropsychiatric and Behavioral Traits. Biol Psychiatry 2021; 89:1127-1137. [PMID: 33648717 PMCID: PMC8163257 DOI: 10.1016/j.biopsych.2020.12.024] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 12/15/2020] [Accepted: 12/17/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND The origin of sex differences in prevalence and presentation of neuropsychiatric and behavioral traits is largely unknown. Given established genetic contributions and correlations, we tested for a sex-differentiated genetic architecture within and between traits. METHODS Using European ancestry genome-wide association summary statistics for 20 neuropsychiatric and behavioral traits, we tested for sex differences in single nucleotide polymorphism (SNP)-based heritability and genetic correlation (rg < 1). For each trait, we computed per-SNP z scores from sex-stratified regression coefficients and identified genes with sex-differentiated effects using a gene-based approach. We calculated correlation coefficients between z scores to test for shared sex-differentiated effects. Finally, we tested for sex differences in across-trait genetic correlations. RESULTS We observed no consistent sex differences in SNP-based heritability. Between-sex, within-trait genetic correlations were high, although <1 for educational attainment and risk-taking behavior. We identified 4 genes with significant sex-differentiated effects across 3 traits. Several trait pairs shared sex-differentiated effects. The top genes with sex-differentiated effects were enriched for multiple gene sets, including neuron- and synapse-related sets. Most between-trait genetic correlation estimates were not significantly different between sexes, with exceptions (educational attainment and risk-taking behavior). CONCLUSIONS Sex differences in the common autosomal genetic architecture of neuropsychiatric and behavioral phenotypes are small and polygenic and unlikely to fully account for observed sex-differentiated attributes. Larger sample sizes are needed to identify sex-differentiated effects for most traits. For well-powered studies, we identified genes with sex-differentiated effects that were enriched for neuron-related and other biological functions. This work motivates further investigation of genetic and environmental influences on sex differences.
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Affiliation(s)
- Joanna Martin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
| | - Ekaterina A Khramtsova
- Section of Genetic Medicine, Department of Medicine and Institute for Genomics and Systems Biology, University of Chicago, Chicago, Illinois; Computational Sciences, Janssen Pharmaceuticals, Spring House, Pennsylvania
| | - Slavina B Goleva
- Department of Molecular Physiology and Biophysics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Gabriëlla A M Blokland
- Psychiatric & Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine, and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Michela Traglia
- Department of Psychiatry, University of California San Francisco, San Francisco, California; Institute for Human Genetics, University of California San Francisco, San Francisco, California; Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Raymond K Walters
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Christopher Hübel
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jonathan R I Coleman
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; National Institute for Health Research Maudsley Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, United Kingdom
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; National Institute for Health Research Maudsley Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, United Kingdom
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Ditte Demontis
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health, University of Copenhagen, Copenhagen, Denmark; Section for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Cynthia M Bulik
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Phil H Lee
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Carol A Mathews
- Department of Psychiatry, University of Florida, Gainesville, Florida; Genetics Institute, University of Florida, Gainesville, Florida
| | - Roseann E Peterson
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia; Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Stacey J Winham
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Naomi Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Wei Guo
- Genetic Epidemiology Research Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Yin Yao
- School of Life Sciences, Fudan University, Shanghai, China
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Stephen V Faraone
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, New York; Department of Neuroscience and Physiology, State University of New York Upstate Medical University, Syracuse, New York
| | - Tracey L Petryshen
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Lauren A Weiss
- Department of Psychiatry, University of California San Francisco, San Francisco, California; Institute for Human Genetics, University of California San Francisco, San Francisco, California; Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Laramie E Duncan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California
| | - Jill M Goldstein
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jordan W Smoller
- Psychiatric & Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Barbara E Stranger
- Section of Genetic Medicine, Department of Medicine and Institute for Genomics and Systems Biology, University of Chicago, Chicago, Illinois; Center for Genetic Medicine, Department of Pharmacology, Northwestern University, Chicago, Illinois
| | - Lea K Davis
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
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21
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Meyers JL, Chorlian DB, Bigdeli TB, Johnson EC, Aliev F, Agrawal A, Almasy L, Anokhin A, Edenberg HJ, Foroud T, Goate A, Kamarajan C, Kinreich S, Nurnberger J, Pandey AK, Pandey G, Plawecki MH, Salvatore JE, Zhang J, Fanous A, Porjesz B. The association of polygenic risk for schizophrenia, bipolar disorder, and depression with neural connectivity in adolescents and young adults: examining developmental and sex differences. Transl Psychiatry 2021; 11:54. [PMID: 33446638 PMCID: PMC7809462 DOI: 10.1038/s41398-020-01185-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 12/15/2020] [Accepted: 12/17/2020] [Indexed: 02/03/2023] Open
Abstract
Neurodevelopmental abnormalities in neural connectivity have been long implicated in the etiology of schizophrenia (SCZ); however, it remains unclear whether these neural connectivity patterns are associated with genetic risk for SCZ in unaffected individuals (i.e., an absence of clinical features of SCZ or a family history of SCZ). We examine whether polygenic risk scores (PRS) for SCZ are associated with functional neural connectivity in adolescents and young adults without SCZ, whether this association is moderated by sex and age, and if similar associations are observed for genetically related neuropsychiatric PRS. One-thousand four-hundred twenty-six offspring from 913 families, unaffected with SCZ, were drawn from the Collaborative Study of the Genetics of Alcoholism (COGA) prospective cohort (median age at first interview = 15.6 (12-26), 51.6% female, 98.1% European American, 41% with a family history of alcohol dependence). Participants were followed longitudinally with resting-state EEG connectivity (i.e., coherence) assessed every two years. Higher SCZ PRS were associated with elevated theta (3-7 Hz) and alpha (7-12 Hz) EEG coherence. Associations differed by sex and age; the most robust associations were observed between PRS and parietal-occipital, central-parietal, and frontal-parietal alpha coherence among males between ages 15-19 (B: 0.15-0.21, p < 10-4). Significant associations among EEG coherence and Bipolar and Depression PRS were observed, but differed from SCZ PRS in terms of sex, age, and topography. Findings reveal that polygenic risk for SCZ is robustly associated with increased functional neural connectivity among young adults without a SCZ diagnosis. Striking differences were observed between men and women throughout development, mapping onto key periods of risk for the onset of psychotic illness and underlining the critical importance of examining sex differences in associations with neuropsychiatric PRS across development.
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Affiliation(s)
- J. L. Meyers
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - D. B. Chorlian
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - T. B. Bigdeli
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - E. C. Johnson
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - F. Aliev
- grid.224260.00000 0004 0458 8737Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA 23284 USA ,grid.440448.80000 0004 0384 3505Faculty of Business, Karabuk University, Karabuk, Turkey
| | - A. Agrawal
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - L. Almasy
- grid.25879.310000 0004 1936 8972Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - A. Anokhin
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - H. J. Edenberg
- grid.257413.60000 0001 2287 3919Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202 USA ,grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - T. Foroud
- grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - A. Goate
- grid.59734.3c0000 0001 0670 2351Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,grid.59734.3c0000 0001 0670 2351Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - C. Kamarajan
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - S. Kinreich
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - J. Nurnberger
- grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - A. K. Pandey
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - G. Pandey
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - M. H. Plawecki
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA ,grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - J. E. Salvatore
- grid.224260.00000 0004 0458 8737Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA 23284 USA ,grid.224260.00000 0004 0458 8737Virginia Institute of Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23284 USA
| | - J. Zhang
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - A. Fanous
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - B. Porjesz
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
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22
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Saraiva LC, Cappi C, Simpson HB, Stein DJ, Viswanath B, van den Heuvel OA, Reddy YCJ, Miguel EC, Shavitt RG. Cutting-edge genetics in obsessive-compulsive disorder. Fac Rev 2020; 9:30. [PMID: 33659962 PMCID: PMC7886082 DOI: 10.12703/r/9-30] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
This article reviews recent advances in the genetics of obsessive-compulsive disorder (OCD). We cover work on the following: genome-wide association studies, whole-exome sequencing studies, copy number variation studies, gene expression, polygenic risk scores, gene–environment interaction, experimental animal systems, human cell models, imaging genetics, pharmacogenetics, and studies of endophenotypes. Findings from this work underscore the notion that the genetic architecture of OCD is highly complex and shared with other neuropsychiatric disorders. Also, the latest evidence points to the participation of gene networks involved in synaptic transmission, neurodevelopment, and the immune and inflammatory systems in this disorder. We conclude by highlighting that further study of the genetic architecture of OCD, a great part of which remains to be elucidated, could benefit the development of diagnostic and therapeutic approaches based on the biological basis of the disorder. Studies to date revealed that OCD is not a simple homogeneous entity, but rather that the underlying biological pathways are variable and heterogenous. We can expect that translation from bench to bedside, through continuous effort and collaborative work, will ultimately transform our understanding of what causes OCD and thus how best to treat it.
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Affiliation(s)
- Leonardo Cardoso Saraiva
- Department & Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Carolina Cappi
- Department & Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Helen Blair Simpson
- Columbia University Irving Medical Center, Columbia University, New York, NY, 10032, USA
- The New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Dan J Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Biju Viswanath
- Molecular Genetics Laboratory, National Institute of Mental Health & Neurosciences (NIMHANS); Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS) Laboratory, NIMHANS, Bangalore, India
| | - Odile A van den Heuvel
- Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neuroscience, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - YC Janardhan Reddy
- Obsessive-Compulsive Disorder (OCD) Clinic, Department of Psychiatry, NIMHANS, Bangalore, India
| | - Euripedes C Miguel
- Department & Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Roseli G Shavitt
- Department & Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
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23
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Ouidir M, Mendola P, Buck Louis GM, Kannan K, Zhang C, Tekola-Ayele F. Concentrations of persistent organic pollutants in maternal plasma and epigenome-wide placental DNA methylation. Clin Epigenetics 2020; 12:103. [PMID: 32653021 PMCID: PMC7371466 DOI: 10.1186/s13148-020-00894-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 06/23/2020] [Indexed: 12/17/2022] Open
Abstract
Background Prenatal maternal plasma persistent organic pollutant (POP) concentrations have been associated with neonatal outcomes. However, the underlying mechanisms remain unknown. Placental epigenetic mechanisms may be involved, but no prior epigenome-wide studies have investigated the impact of maternal POPs on placental DNA methylation. We studied the association between maternal plasma POP concentration in early pregnancy and epigenome-wide placental DNA methylation among 260 pregnant women from the NICHD Fetal Growth Studies. Results Our analysis focused on POPs with more than 80% plasma concentrations above the limit of quantification, including 3 organochlorine pesticides (hexachlorobenzene, trans-nonachlor, p,p’-dichlorodiphenyldichloroethylene), 1 polybrominated diphenyl ether (PBDE 47), 3 polychlorinated biphenyls (138/158, 153, 180), and 6 poly- and perfluorinated alkyl substances (PFASs) (perfluorodecanoic acid, perfluorohexanesulfonic acid, perfluorononanoic acid, perfluorooctanesulfonic acid, perfluoroundecanoic acid (PFUnDA)). Using 5% false discovery rate, POPs were associated with a total of 214 differentially methylated CpG sites (nominal p values ranging from 2.61 × 10−21 to 2.11 × 10−7). Out of the 214 CpG sites, 24 (11%) were significantly correlated with placental expression of 21 genes. Notably, higher PFUnDA was associated with increased methylation at 3 CpG sites (cg13996963, cg12089439, cg18145877) annotated to TUSC3, and increased methylation at those 3 CpG sites was correlated with decreased expression of TUSC3 in the placenta. Increased methylation at cg18145877 (TUSC3) and decreased expression of TUSC3 were correlated with shorter birth length. Out of the 214 CpG sites, methylation at 44 CpG sites was correlated (p value < 0.10) with at least one neonatal anthropometry measure (i.e., birth weight, birth length, and head circumference). Seven CpG sites mediated (p value < 0.05) the association between PBDE 47 and neonatal anthropometry measures. Genes annotating the top differentially methylated CpG sites were enriched in pathways related to differentiation of embryonic cells (PBDE 47) and in pathways related to brain size and brain morphology (PFASs). Conclusions DNA methylation changes in the placenta were significantly associated with maternal plasma POPs concentration. The findings suggest that placental DNA methylation and gene expression mechanism may be involved in the prenatal toxicity of POPs and their association with neonatal anthropometry measures.
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Affiliation(s)
- Marion Ouidir
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Drive, Bethesda, MD, 20892-7004, USA
| | - Pauline Mendola
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Drive, Bethesda, MD, 20892-7004, USA
| | - Germaine M Buck Louis
- Office of the Dean, College of Health and Human Services, George Mason University, Fairfax, VA, USA
| | - Kurunthachalam Kannan
- Wadsworth Center, New York State Department of Health, Albany, New York, NY, USA.,Department of Pediatrics, New York University School of Medicine, New York, NY, USA
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Drive, Bethesda, MD, 20892-7004, USA
| | - Fasil Tekola-Ayele
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Drive, Bethesda, MD, 20892-7004, USA.
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24
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Merikangas AK, Almasy L. Using the tools of genetic epidemiology to understand sex differences in neuropsychiatric disorders. GENES BRAIN AND BEHAVIOR 2020; 19:e12660. [PMID: 32348611 PMCID: PMC7507200 DOI: 10.1111/gbb.12660] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 03/01/2020] [Accepted: 04/24/2020] [Indexed: 02/06/2023]
Abstract
Many neuropsychiatric disorders exhibit differences in prevalence, age of onset, symptoms or course of illness between males and females. For the most part, the origins of these differences are not well understood. In this article, we provide an overview of sex differences in psychiatric disorders including autism spectrum disorder (ASD), attention deficit/hyperactivity disorder (ADHD), anxiety, depression, alcohol and substance abuse, schizophrenia, eating disorders and risk of suicide. We discuss both genetic and nongenetic mechanisms that have been hypothesized to underlie these differences, including ascertainment bias, environmental stressors, X‐ or Y‐linked risk loci, and differential liability thresholds in males and females. We then review the use of twin, family and genome‐wide association approaches to study potential genetic mechanisms of sex differences and the extent to which these designs have been employed in studies of psychiatric disorders. We describe the utility of genetic epidemiologic study designs, including classical twin and family studies, large‐scale studies of population registries, derived recurrence risks, and molecular genetic analyses of genome‐wide variation that may enhance our understanding sex differences in neuropsychiatric disorders.
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Affiliation(s)
- Alison K Merikangas
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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25
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Wendt FR, Pathak GA, Tylee DS, Goswami A, Polimanti R. Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective. ACTA ACUST UNITED AC 2020; 4:2470547020924844. [PMID: 32518889 PMCID: PMC7254587 DOI: 10.1177/2470547020924844] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 04/17/2020] [Indexed: 12/15/2022]
Abstract
Genome-wide association studies (GWAS) have been performed for many psychiatric disorders and revealed a complex polygenic architecture linking mental and physical health phenotypes. Psychiatric diagnoses are often heterogeneous, and several layers of trait heterogeneity may contribute to detection of genetic risks per disorder or across multiple disorders. In this review, we discuss these heterogeneities and their consequences on the discovery of risk loci using large-scale genetic data. We primarily highlight the ways in which sex and diagnostic complexity contribute to risk locus discovery in schizophrenia, bipolar disorder, attention deficit hyperactivity disorder, autism spectrum disorder, posttraumatic stress disorder, major depressive disorder, obsessive-compulsive disorder, Tourette’s syndrome and chronic tic disorder, anxiety disorders, suicidality, feeding and eating disorders, and substance use disorders. Genetic data also have facilitated discovery of clinically relevant subphenotypes also described here. Collectively, GWAS of psychiatric disorders revealed that the understanding of heterogeneity, polygenicity, and pleiotropy is critical to translate genetic findings into treatment strategies.
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Affiliation(s)
- Frank R Wendt
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Daniel S Tylee
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Aranyak Goswami
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
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26
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Naqvi S, Godfrey AK, Hughes JF, Goodheart ML, Mitchell RN, Page DC. Conservation, acquisition, and functional impact of sex-biased gene expression in mammals. Science 2020; 365:365/6450/eaaw7317. [PMID: 31320509 DOI: 10.1126/science.aaw7317] [Citation(s) in RCA: 117] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Accepted: 06/12/2019] [Indexed: 12/15/2022]
Abstract
Sex differences abound in human health and disease, as they do in other mammals used as models. The extent to which sex differences are conserved at the molecular level across species and tissues is unknown. We surveyed sex differences in gene expression in human, macaque, mouse, rat, and dog, across 12 tissues. In each tissue, we identified hundreds of genes with conserved sex-biased expression-findings that, combined with genomic analyses of human height, explain ~12% of the difference in height between females and males. We surmise that conserved sex biases in expression of genes otherwise operating equivalently in females and males contribute to sex differences in traits. However, most sex-biased expression arose during the mammalian radiation, which suggests that careful attention to interspecies divergence is needed when modeling human sex differences.
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Affiliation(s)
- Sahin Naqvi
- Whitehead Institute, Cambridge, MA 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Alexander K Godfrey
- Whitehead Institute, Cambridge, MA 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | | | - Mary L Goodheart
- Whitehead Institute, Cambridge, MA 02142, USA.,Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA 02142, USA
| | - Richard N Mitchell
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - David C Page
- Whitehead Institute, Cambridge, MA 02142, USA. .,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA 02142, USA
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27
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Mattina GF, Slyepchenko A, Steiner M. Obsessive–compulsive and related disorders. HANDBOOK OF CLINICAL NEUROLOGY 2020; 175:369-386. [DOI: 10.1016/b978-0-444-64123-6.00025-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
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28
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Hübel C, Gaspar HA, Coleman JRI, Hanscombe KB, Purves K, Prokopenko I, Graff M, Ngwa JS, Workalemahu T, O'Reilly PF, Bulik CM, Breen G. Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent. Nat Commun 2019; 10:5765. [PMID: 31852892 PMCID: PMC6920448 DOI: 10.1038/s41467-019-13544-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 11/08/2019] [Indexed: 12/16/2022] Open
Abstract
Body composition is often altered in psychiatric disorders. Using genome-wide common genetic variation data, we calculate sex-specific genetic correlations amongst body fat %, fat mass, fat-free mass, physical activity, glycemic traits and 17 psychiatric traits (up to N = 217,568). Two patterns emerge: (1) anorexia nervosa, schizophrenia, obsessive-compulsive disorder, and education years are negatively genetically correlated with body fat % and fat-free mass, whereas (2) attention-deficit/hyperactivity disorder (ADHD), alcohol dependence, insomnia, and heavy smoking are positively correlated. Anorexia nervosa shows a stronger genetic correlation with body fat % in females, whereas education years is more strongly correlated with fat mass in males. Education years and ADHD show genetic overlap with childhood obesity. Mendelian randomization identifies schizophrenia, anorexia nervosa, and higher education as causal for decreased fat mass, with higher body fat % possibly being a causal risk factor for ADHD and heavy smoking. These results suggest new possibilities for targeted preventive strategies.
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Affiliation(s)
- Christopher Hübel
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.
- UK National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, SE5 8AF, UK.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65, Solna, Sweden.
| | - Héléna A Gaspar
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
- UK National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, SE5 8AF, UK
| | - Jonathan R I Coleman
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
- UK National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, SE5 8AF, UK
| | - Ken B Hanscombe
- Department of Medical and Molecular Genetics, King's College London, Guy's Hospital, London, SE1 9RT, UK
| | - Kirstin Purves
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Inga Prokopenko
- Section of Statistical Multi-Omics, Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford, UK
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27516, USA
| | - Julius S Ngwa
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Tsegaselassie Workalemahu
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Paul F O'Reilly
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Cynthia M Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65, Solna, Sweden
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, 27514, NC, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
- UK National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, SE5 8AF, UK
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29
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Tannenbaum C, Boksa P. Sex: a key consideration in understanding the etiology of psychiatric disorders and improving treatment. J Psychiatry Neurosci 2019; 44:364-366. [PMID: 31657538 PMCID: PMC6821507 DOI: 10.1503/jpn.190165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Cara Tannenbaum
- From the Institute of Gender and Health, Canadian Institutes of Health Research (CIHR) and Faculties of Medicine and Pharmacy, Université de Montréal, Montreal, Que., Canada (Tannenbaum); and the Department of Psychiatry, McGill University, Montreal, Que., Canada (Boksa)
| | - Patricia Boksa
- From the Institute of Gender and Health, Canadian Institutes of Health Research (CIHR) and Faculties of Medicine and Pharmacy, Université de Montréal, Montreal, Que., Canada (Tannenbaum); and the Department of Psychiatry, McGill University, Montreal, Que., Canada (Boksa)
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30
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Cotrin JC, Fontenelle LF, Kohlrausch FB. Association analyses reveal gender-specific associations of DAT1 40-bp VNTR and -839C/T polymorphisms with obsessive–compulsive disorder and obsessive–compulsive symptoms. Mol Biol Rep 2019; 46:5155-5162. [DOI: 10.1007/s11033-019-04971-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 07/05/2019] [Indexed: 10/26/2022]
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31
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Pallayova M, Brandeburova A, Tokarova D. Update on Sexual Dimorphism in Brain Structure–Function Interrelationships: A Literature Review. Appl Psychophysiol Biofeedback 2019; 44:271-284. [DOI: 10.1007/s10484-019-09443-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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