Department of Economics and Business Economics

Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Simone de Jong, King's College London, United Kingdom
  • Mateus Jose Abdalla Diniz, Pax Instituto de Psiquiatria, Brazil
  • Andiara Saloma, Pax Instituto de Psiquiatria, Brazil
  • Ary Gadelha, Universidade Federal de Sao Paulo, Brazil
  • Marcos L Santoro, Universidade Federal de Sao Paulo, Brazil
  • Vanessa K Ota, Universidade Federal de Sao Paulo, Brazil
  • Cristiano Noto, Universidade Federal de Sao Paulo, Brazil
  • Charles Curtis, King's College London, United Kingdom
  • Stephen J Newhouse, University College London, United Kingdom
  • Hamel Patel, King's College London, United Kingdom
  • Lynsey S Hall, Cardiff University, United Kingdom
  • Paul F O Reilly, King's College London, United Kingdom
  • Sintia I Belangero, Universidade Federal de Sao Paulo, Brazil
  • Rodrigo A Bressan, Universidade Federal de Sao Paulo, Brazil
  • Gerome Breen, King's College London, United Kingdom
  • Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium (Per Qvist and Preben Bo Mortensen, members of-)

Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders.

Original languageEnglish
Article number163
JournalCommunications Biology
Volume1
Number of pages10
ISSN2399-3642
DOIs
Publication statusPublished - 2018

    Research areas

  • AGE, ANTICIPATION, ASSOCIATION, ONSET, PLINK, SAMPLE, SCHIZOPHRENIA

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