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Publication . Article . Other literature type . 2015

New data and an old puzzle:the negative association between schizophrenia and rheumatoid arthritis

the negative association between schizophrenia and rheumatoid arthritis
S. Hong Lee; Enda M. Byrne; Christina M. Hultman; Anna K. Kähler; Anna A. E. Vinkhuyzen; Stephan Ripke; Ole A. Andreassen; +137 Authors
Open Access
English
Abstract

Background: A long-standing epidemiological puzzle is the reduced rate of rheumatoid arthritis (RA) in those with schizophrenia (SZ) and vice versa. Traditional epidemiological approaches to determine if this negative association is underpinned by genetic factors would test for reduced rates of one disorder in relatives of the other, but sufficiently powered data sets are difficult to achieve. The genomics era presents an alternative paradigm for investigating the genetic relationship between two uncommon disorders. Methods: We use genome-wide common single nucleotide polymorphism (SNP) data from independently collected SZ and RA case-control cohorts to estimate the SNP correlation between the disorders. We test a genotype X environment (GxE) hypothesis for SZ with environment defined as winter- vs summer-born. Results: We estimate a small but significant negative SNP-genetic correlation between SZ and RA (−0.046, s.e. 0.026, P = 0.036). The negative correlation was stronger for the SNP set attributed to coding or regulatory regions (−0.174, s.e. 0.071, P = 0.0075). Our analyses led us to hypothesize a gene-environment interaction for SZ in the form of immune challenge. We used month of birth as a proxy for environmental immune challenge and estimated the genetic correlation between winter-born and non-winter born SZ to be significantly less than 1 for coding/regulatory region SNPs (0.56, s.e. 0.14, P = 0.00090). Conclusions: Our results are consistent with epidemiological observations of a negative relationship between SZ and RA reflecting, at least in part, genetic factors. Results of the month of birth analysis are consistent with pleiotropic effects of genetic variants dependent on environmental context. Refereed/Peer-reviewed

Subjects by Vocabulary

Microsoft Academic Graph classification: SNP Genetic correlation Genetics Genotype Genome-wide association study Bipolar disorder medicine.disease medicine Biology Genetic variation Single-nucleotide polymorphism Gene–environment interaction

Subjects

Adolescent, Adult, Arthritis, Rheumatoid, Cohort Studies, Cross-Sectional Studies, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Schizophrenia, Young Adult, Public, Environmental & Occupational Health, schizophrenia, rheumatoid arthritis, genetic relationship, pleiotropy, genome, General Medicine, Epidemiology, Miscellaneous, Arthritis, Rheumatoid, Polymorphism, Single Nucleotide, SDG 3 - Good Health and Well-being, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, SDG 3 - Good Health and Well-being

Related Organizations
71 references, page 1 of 8

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Funded byView all
NHMRC| Using New Genomic Technologies, Statistical and Computational Methods to Uncover The Genetic Aetiology of Complex Traits
Project
  • Funder: National Health and Medical Research Council (NHMRC) (NHMRC)
  • Project Code: 1053639
  • Funding stream: Early Career Fellowships
,
NHMRC| Using genomics to understand psychiatric disorders
Project
  • Funder: National Health and Medical Research Council (NHMRC) (NHMRC)
  • Project Code: 1078901
  • Funding stream: Research Fellowships
,
NIH| Genetic predictors of response to anti-TNF therapy in rheumatoid arthritis
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5U01GM092691-04
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
,
NHMRC| Statistical analyses of whole genome genotype data to better understand psychiatric disorders
Project
  • Funder: National Health and Medical Research Council (NHMRC) (NHMRC)
  • Project Code: 1047956
  • Funding stream: Project Grants
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