Research
Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

Research output: Contribution to journalJournal articleResearchpeer-review

  1. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Human Disease Variation in the Light of Population Genomics

    Research output: Contribution to journalReviewResearchpeer-review

  4. Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Drug-Driven Phenotypic Convergence Supports Rational Treatment Strategies of Chronic Infections

    Research output: Contribution to journalJournal articleResearchpeer-review

  1. Association between Mental Disorders and Subsequent Medical Conditions

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Von Frey testing revisited - provision of an online algorithm for improved accuracy of 50% thresholds

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. The donors perceived positive and negative effects of blood donation

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Restriction of non-opioid analgesics sold over-the-counter in Denmark: A national study of impact on poisonings

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Familial analysis reveals rare risk variants for migraine in regulatory regions

    Research output: Contribution to journalJournal articleResearchpeer-review

  • Douglas M. Ruderfer
  • Stephan Ripke
  • Andrew McQuillin
  • James Boocock
  • Eli A. Stahl
  • Jennifer M.Whitehead Pavlides
  • Niamh Mullins
  • Alexander W. Charney
  • Anil P.S. Ori
  • Loes M.Olde Loohuis
  • Enrico Domenici
  • Arianna Di Florio
  • Sergi Papiol
  • Janos L. Kalman
  • Vassily Trubetskoy
  • Rolf Adolfsson
  • Ingrid Agartz
  • Esben Agerbo
  • Huda Akil
  • Diego Albani
  • Margot Albus
  • Martin Alda
  • Madeline Alexander
  • Ney Alliey-Rodriguez
  • Thomas D. Als
  • Farooq Amin
  • Adebayo Anjorin
  • Maria J. Arranz
  • Swapnil Awasthi
  • Silviu A. Bacanu
  • Judith A. Badner
  • Marie Baekvad-Hansen
  • Steven Bakker
  • Gavin Band
  • Jack D. Barchas
  • Ines Barroso
  • Nicholas Bass
  • Michael Bauer
  • Bernhard T. Baune
  • Martin Begemann
  • Celine Bellenguez
  • Richard A. Belliveau
  • Mark Hansen
  • Thomas Hansen
  • Sandra Meier
  • Merete Nordentoft
  • Line Olsen
  • Tune H. Pers
  • Henrik B. Rasmussen
  • Thomas Werge
  • Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium douglas.ruderfer@vanderbilt.edu
  • Psychosis Endophenotypes International Consortium
  • Wellcome Trust Case-Control Consortium
View graph of relations

Schizophrenia and bipolar disorder are two distinct diagnoses that share symptomology. Understanding the genetic factors contributing to the shared and disorder-specific symptoms will be crucial for improving diagnosis and treatment. In genetic data consisting of 53,555 cases (20,129 bipolar disorder [BD], 33,426 schizophrenia [SCZ]) and 54,065 controls, we identified 114 genome-wide significant loci implicating synaptic and neuronal pathways shared between disorders. Comparing SCZ to BD (23,585 SCZ, 15,270 BD) identified four genomic regions including one with disorder-independent causal variants and potassium ion response genes as contributing to differences in biology between the disorders. Polygenic risk score (PRS) analyses identified several significant correlations within case-only phenotypes including SCZ PRS with psychotic features and age of onset in BD. For the first time, we discover specific loci that distinguish between BD and SCZ and identify polygenic components underlying multiple symptom dimensions. These results point to the utility of genetics to inform symptomology and potential treatment. Genetic analysis of multiple bipolar disorder and schizophrenia cohorts reveals loci and polygenic risk scores that differentiate the clinical symptoms of these two highly correlated disorders.

Original languageEnglish
JournalCell
Volume173
Issue number7
Pages (from-to)1705-1715.e16
ISSN0092-8674
DOIs
Publication statusPublished - 14 Jun 2018

    Research areas

  • bipolar disorder, polygenic risk, psychosis, schizophrenia, subphenotypes

ID: 55336700