Spatial gene-by-environment mapping for schizophrenia reveals locale of upbringing effects beyond urban-rural differences

Chun Chieh Fan, John J. McGrath, Vivek Appadurai, Alfonso Buil, Michael J. Gandal · bioRxiv · 2018

Summary

This study provides insight into the degree of geospatial clustering of schizophrenia risk, and a novel analytic procedure provides a framework for decomposing variation in geosp spatial risk into G, E, and GxE components.

Type: preprint
Published: 2018-05-11
Cited by: 1
References: 36
Access: Open access
DOI: https://doi.org/10.1101/315820
OpenAlex: https://openalex.org/W2801432879
Semantic Scholar: https://api.semanticscholar.org/CorpusID:90118814

Keywords

Locale (computer software), Schizophrenia (object-oriented programming), Geospatial analysis, Confounding, Geography

References

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Cited by

DBDS Genomic Cohort, a prospective and comprehensive resource for integrative and temporal analysis of genetic, environmental and lifestyle factors affecting health of blood donorsThomas Folkmann Hansen, Karina Banasik, Christian Erikstrup — 2019

Spatial gene-by-environment mapping for schizophrenia reveals locale of upbringing effects beyond urban-rural differences

Summary

Keywords

References

Cited by

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