Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia

• Published in: Nature communications 2018-12, Vol.9 (1), p.5296-7, Article 5296
• Main Authors: Fan, Chun Chieh, McGrath, John J., Appadurai, Vivek, Buil, Alfonso, Gandal, Michael J., Schork, Andrew J., Mortensen, Preben Bo, Agerbo, Esben, Geschwind, Sandy A., Geschwind, Daniel, Werge, Thomas, Thompson, Wesley K., Pedersen, Carsten Bøcker
• Format: Article
• Language: English
• Subjects: 45; 45/43; 631/208; 631/208/135; 692/617/375/366; Chromosome Mapping - methods; Denmark - epidemiology; Environment; Environmental effects; Environmental risk; Etiology; Gene mapping; Genetic Predisposition to Disease - genetics; Geography; Humanities and Social Sciences; Humans; Liability; Mapping; Mental disorders; multidisciplinary; Population density; Proof of Concept Study; Psychosis; Risk; Risk Factors; Schizophrenia; Schizophrenia - epidemiology; Schizophrenia - genetics; Science; Science (multidisciplinary); Synergism
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-018-07708-7

Spatial mapping is a promising strategy to investigate the mechanisms underlying the incidence of psychosis. We analyzed a case-cohort study ( n  = 24,028), drawn from the 1.47 million Danish persons born between 1981 and 2005, using a novel framework for decomposing the geospatial risk for schizophrenia based on locale of upbringing and polygenic scores. Upbringing in a high environmental risk locale increases the risk for schizophrenia by 122%. Individuals living in a high gene-by-environmental risk locale have a 78% increased risk compared to those who have the same genetic liability but live in a low-risk locale. Effects of specific locales vary substantially within the most densely populated city of Denmark, with hazard ratios ranging from 0.26 to 9.26 for environment and from 0.20 to 5.95 for gene-by-environment. These findings indicate the critical synergism of gene and environment on the etiology of schizophrenia and demonstrate the potential of incorporating geolocation in genetic studies. Schizophrenia (SCZ) risk is influenced by genetic and environmental factors. Here, the authors develop a statistical method for analyzing gene-by-environment effects in SCZ risk across Denmark with fine spatial resolution.