» Articles » PMID: 24860087

Identifying Gene-environment Interactions in Schizophrenia: Contemporary Challenges for Integrated, Large-scale Investigations

Overview
Journal Schizophr Bull
Specialty Psychiatry
Date 2014 May 27
PMID 24860087
Citations 111
Authors
Affiliations
Soon will be listed here.
Abstract

Recent years have seen considerable progress in epidemiological and molecular genetic research into environmental and genetic factors in schizophrenia, but methodological uncertainties remain with regard to validating environmental exposures, and the population risk conferred by individual molecular genetic variants is small. There are now also a limited number of studies that have investigated molecular genetic candidate gene-environment interactions (G × E), however, so far, thorough replication of findings is rare and G × E research still faces several conceptual and methodological challenges. In this article, we aim to review these recent developments and illustrate how integrated, large-scale investigations may overcome contemporary challenges in G × E research, drawing on the example of a large, international, multi-center study into the identification and translational application of G × E in schizophrenia. While such investigations are now well underway, new challenges emerge for G × E research from late-breaking evidence that genetic variation and environmental exposures are, to a significant degree, shared across a range of psychiatric disorders, with potential overlap in phenotype.

Citing Articles

Association between Adverse Childhood Experiences and long-term outcomes in people at Clinical High-Risk for Psychosis.

Tognin S, Catalan A, Aymerich C, Richter A, Kempton M, Modinos G Schizophrenia (Heidelb). 2025; 11(1):23.

PMID: 39979326 PMC: 11842736. DOI: 10.1038/s41537-025-00562-9.


Cannabis use and cognitive biases in people with first-episode psychosis and their siblings.

Roldan L, Sanchez-Gutierrez T, Fernandez-Arias I, Rodriguez-Toscano E, Lopez G, Merchan-Naranjo J Psychol Med. 2024; :1-11.

PMID: 39575607 PMC: 11650177. DOI: 10.1017/S0033291724001715.


Development and temporal validation of a clinical prediction model of transition to psychosis in individuals at ultra-high risk in the UHR 1000+ cohort.

Hartmann S, Dwyer D, Cavve B, Byrne E, Scott I, Gao C World Psychiatry. 2024; 23(3):400-410.

PMID: 39279417 PMC: 11403190. DOI: 10.1002/wps.21240.


Associations between disturbed sleep and attenuated psychotic experiences in people at clinical high risk for psychosis.

Formica M, Fuller-Tyszkiewicz M, Reininghaus U, Kempton M, Delespaul P, de Haan L Psychol Med. 2024; 54(9):2254-2263.

PMID: 38450445 PMC: 11413346. DOI: 10.1017/S0033291724000400.


Genetic variation in glutamatergic genes moderates the effects of childhood adversity on brain volume and IQ in treatment-resistant schizophrenia.

Mohamed Saini S, Bousman C, Mancuso S, Cropley V, Van Rheenen T, Lenroot R Schizophrenia (Heidelb). 2023; 9(1):59.

PMID: 37709784 PMC: 10502098. DOI: 10.1038/s41537-023-00381-w.


References
1.
Varese F, Smeets F, Drukker M, Lieverse R, Lataster T, Viechtbauer W . Childhood adversities increase the risk of psychosis: a meta-analysis of patient-control, prospective- and cross-sectional cohort studies. Schizophr Bull. 2012; 38(4):661-71. PMC: 3406538. DOI: 10.1093/schbul/sbs050. View

2.
Mortensen P, Pedersen C, Westergaard T, Wohlfahrt J, Ewald H, Mors O . Effects of family history and place and season of birth on the risk of schizophrenia. N Engl J Med. 1999; 340(8):603-8. DOI: 10.1056/NEJM199902253400803. View

3.
Moffitt T, Caspi A, Rutter M . Strategy for investigating interactions between measured genes and measured environments. Arch Gen Psychiatry. 2005; 62(5):473-81. DOI: 10.1001/archpsyc.62.5.473. View

4.
Myin-Germeys I, Birchwood M, Kwapil T . From environment to therapy in psychosis: a real-world momentary assessment approach. Schizophr Bull. 2011; 37(2):244-7. PMC: 3044621. DOI: 10.1093/schbul/sbq164. View

5.
Owen M . Implications of genetic findings for understanding schizophrenia. Schizophr Bull. 2012; 38(5):904-7. PMC: 3446223. DOI: 10.1093/schbul/sbs103. View