Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-10T10:46:41.606Z Has data issue: false hasContentIssue false

The effects of genetic profiling on eating behaviour

Published online by Cambridge University Press:  11 December 2017

C.A-M Graham
Affiliation:
School of sport, health and applied science, St Mary's UniversityTwickenham TW1 4SX, UK
L. Pilic
Affiliation:
School of sport, health and applied science, St Mary's UniversityTwickenham TW1 4SX, UK
Y. Mavrommatis
Affiliation:
School of sport, health and applied science, St Mary's UniversityTwickenham TW1 4SX, UK
Rights & Permissions [Opens in a new window]

Abstract

Type
Abstract
Copyright
Copyright © The Authors 2017 

This abstract was presented as the Cellular and Molecular Nutrition Theme Highlight

Obesity is preventable( 1 ). Today, more than 1·9 billion adults are overweight and 600 million are obese worldwide( 1 ). The influence genetic predisposition has on body weight is a rapidly increasing area in research( Reference Frayling, Timpson and Weedon 2 ). One of the most evident single nucleotide polymorphisms (SNP) associated with obesity is the rs9939609 located in the first intron of the fat mass and obesity associated (FTO) gene( Reference Frayling, Timpson and Weedon 2 ). Individuals with the A-allele are associated with a 20–30 % increased risk of obesity( Reference Frayling, Timpson and Weedon 2 ). It has been suggested that risk is associated with both psychological and physiological mechanisms in food choice regulation( Reference Wardle, Carnell and Haworth 3 ). Genetic information is now widely available to the public. However, there is little research exploring whether knowledge of obesity-related risk elicits a response in the average individual to change their behaviour. The aim of this study was to explore habitual eating behaviour and demonstrate whether the knowledge of genetic risk of the rs9939609 SNP changes dietary intake.

A cross-sectional study was carried out on 45 participants (33 females, 12 males) aged 18 years and above, with a body mass index ranging from 18·4–30·4 kg/m2. Participants were genotyped and categorised into either low or high risk groups, assessed for their behavioural appetite motivations and inhibitions (behavioural approach system and behavioural inhibition system (BISBAS) questionnaire) and assessed for their dietary intake (5-step multiple pass 24-hour dietary recall) pre and post knowledge of their genetic risk group (high risk = AA/AT, low risk = TT).

Free sugar intake in females was reduced post knowledge of the high risk genotype (45·2 g ± 9·0 g to 29·7 g ± 6·8 g, p < 0·05), displayed in figure 1A. Snack intake in females was also reduced post knowledge in the high risk group (213·6 g ± 48·0 g to 80·2 g ± 19·1 g, p < 0·05) displayed in figure 1B.

Fig. 1. Mean (+SE) of free sugar intake (A) and snack intake (B) of females pre and post knowledge of genetic risk group, in the high and low risk groups.

These results confirm that the knowledge of an individual's genetic predisposition can have an effect on short-term food choice in those with high risk genotypes. The dietary choices that were significantly altered post knowledge of genetics are components of food types that are perceived as unhealthy demonstrating a shift towards healthy eating( 4 ). Further research is needed to determine long-term behavioural effects, of which the implications could contribute towards obesity prevention schemes.

References

1. World Health Organisation. (2016) Obesity and overweight. http://www.who.int/mediacentre/factsheets/fs311/en/ Google Scholar
2. Frayling, TM, Timpson, NJ, Weedon, MN et al. (2007) Science 16, 889–94.CrossRefGoogle Scholar
3. Wardle, J, Carnell, S, Haworth, CMA et al. (2008) J Clin Endocrinol Metab 93, 3640–3.CrossRefGoogle Scholar
4. National Obesity Observatory. (2011) Knowledge and attitudes towards healthy eating and physical activity: what the data tells us. http://www.noo.org.uk/uploads/doc/vid_11171_Attitudes.pdf.Google Scholar
Figure 0

Fig. 1. Mean (+SE) of free sugar intake (A) and snack intake (B) of females pre and post knowledge of genetic risk group, in the high and low risk groups.