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A meta-analysis of gene (5-HTT) × environment interactions in eating pathology using secondary data analyses

Published online by Cambridge University Press:  23 March 2020

V. Rozenblat
Affiliation:
University of Melbourne, Psychological Sciences, Melbourne, Australia
D. Ng
Affiliation:
University of Melbourne, Psychological Sciences, Melbourne, Australia
M. Fuller-Tyszkiewicz
Affiliation:
Deakin University, Psychology, Melbourne, Australia
K. Akkermann
Affiliation:
University of Tartu, Psychological, Tartu, Estonia
D. Collier
Affiliation:
King's College London, Social Genetic and Developmental Psychiatry SGDP, London, United Kingdom
R. Engels
Affiliation:
Radboud University, Behavioural Science Institute, Nijmegen, Netherlands
F. Fernandez-Aranda
Affiliation:
University of Barcelona, Bellvitge Hospital, Barcelona, Spain
J. Harro
Affiliation:
University of Tartu, Psychology, Tartu, Estonia
A. Karwautz
Affiliation:
Medical University of Vienna, Psychiatry, Vienna, Austria
J. Homberg
Affiliation:
Radbough University, Behavioural Sciences, Nijmegen, Netherlands
K. Klump
Affiliation:
Michigan State University, Psychology, Michigan, USA
S. Racine
Affiliation:
Ohio University, Psychology, Ohio, USA
C. Larson
Affiliation:
University of Wisconsin-Milwaukee, Psychology, Wisconsin, USA
H. Steiger
Affiliation:
McGill, Psychology, Montreal, Canada
J. Richardson
Affiliation:
McGill University, Psychiatry, Montreal, Canada
S. Stoltenberg
Affiliation:
University of Nebraska Lincoln, Psychology, Nebraska, USA
T. van Strien
Affiliation:
Radboud University, Behavioural Science Institute, Nijmegn, Netherlands
G. Wagner
Affiliation:
Medical University of Vienna, Psychiatry, Vienna, Austria
J. Treasure
Affiliation:
King's College London, Psychological Medicine, London, United Kingdom
I. Krug*
Affiliation:
University of Melbourne, Psychology, Melbourne, Australia
*
*Corresponding author.

Abstract

Background

Gene × environment (G × E) interactions in eating pathology have been increasingly investigated, however studies have been limited by sample size due to the difficulty of obtaining genetic data.

Objective

To synthesize existing G × E research in the eating disorders (ED) field and provide a clear picture of the current state of knowledge with analyses of larger samples.

Method

Complete data from seven studies investigating community (n = 1750, 64.5% female) and clinical (n = 426, 100% female) populations, identified via systematic review, were included. Data were combined to perform five analyses: 5-HTTLPR × Traumatic Life Events (0–17 events) to predict ED status (n = 909), 5-HTTLPR × Sexual and Physical Abuse (n = 1097) to predict bulimic symptoms, 5-HTLPR × Depression to predict bulimic symptoms (n = 1256), and 5-HTTLPR × Impulsivity to predict disordered eating (n = 1149).

Results

The low function (s) allele of 5-HTTLPR interacted with number of traumatic life events (P < .01) and sexual and physical abuse (P < .05) to predict increased likelihood of an ED in females but not males (Fig. 1). No other G × E interactions were significant, possibly due to the medium to low compatibility between datasets (Fig. 1).

Conclusion

Early promising results suggest that increased knowledge of G × E interactions could be achieved if studies increased uniformity of measuring ED and environmental variables, allowing for continued collaboration to overcome the restrictions of obtaining genetic samples.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Type
FC31
Copyright
Copyright © European Psychiatric Association 2016

Fig. 1 The interaction between 5-HTTLPR (s-allele present versus s-allele absent) and number of traumatic life events to predict likelihood of an eating disorder in females.

Figure 0

Fig. 1 The interaction between 5-HTTLPR (s-allele present versus s-allele absent) and number of traumatic life events to predict likelihood of an eating disorder in females.

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