Modelling the interplay between lifestyle factors and genetic predisposition on markers of type 2 diabetes mellitus risk

C.G. Walker, I. Solis-Trapala, C. Holzapfel, Gina Ambrosini, N.R. Fuller, R.J.F. Loos, H. Hauner, I.D. Caterson, S.A. Jebb

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

© 2015 Walker et al. The risk of developing type 2 diabetes mellitus (T2DM) is determined by a complex interplay involving lifestyle factors and genetic predisposition. Despite this, many studies do not consider the relative contributions of this complex array of factors to identify relationships which are important in progression or prevention of complex diseases. We aimed to describe the integrated effect of a number of lifestyle changes (weight, diet and physical activity) in the context of genetic susceptibility, on changes in glycaemic traits in overweight or obese participants following 12-months of a weight management programme. A sample of 353 participants from a behavioural weight management intervention were included in this study. A graphical Markov model was used to describe the impact of the intervention, by dividing the effects into various pathways comprising changes in proportion of dietary saturated fat, physical activity and weight loss, and a genetic predisposition score (T2DM-GPS), on changes in insulin sensitivity (HOMA-IR), insulin secretion (HOMA-B) and short and long term glycaemia (glucose and HbA1c). We demonstrated the use of graphical Markov modelling to identify the importance and interrelationships of a number of possible variables changed as a result of a lifestyle intervention, whilst considering fixed factors such as genetic predisposition, on changes in traits. Paths which led to weight loss and change in dietary saturated fat were important factors in the change of all glycaemic traits, whereas the T2DM-GPS only made a significant direct contribution to changes in HOMA-IR and plasma glucose after considering the effects of lifestyle factors. This analysis shows that modifiable factors relating to body weight, diet, and physical activity are more likely to impact on glycaemic traits than genetic predisposition during a behavioural intervention. Copyright:
Original languageEnglish
Pages (from-to)1-15
JournalPLoS One
Volume10
Issue number7
DOIs
Publication statusPublished - 2015

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Genetic Predisposition to Disease
Medical problems
noninsulin-dependent diabetes mellitus
Type 2 Diabetes Mellitus
lifestyle
Life Style
physical activity
Nutrition
Global positioning system
Fats
Insulin
Dietary Fats
Glucose
weight loss
Weights and Measures
Weight Loss
weight control programs
glycohemoglobin
glucose
genetic traits

Cite this

Walker, C.G. ; Solis-Trapala, I. ; Holzapfel, C. ; Ambrosini, Gina ; Fuller, N.R. ; Loos, R.J.F. ; Hauner, H. ; Caterson, I.D. ; Jebb, S.A. / Modelling the interplay between lifestyle factors and genetic predisposition on markers of type 2 diabetes mellitus risk. In: PLoS One. 2015 ; Vol. 10, No. 7. pp. 1-15.
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Walker, CG, Solis-Trapala, I, Holzapfel, C, Ambrosini, G, Fuller, NR, Loos, RJF, Hauner, H, Caterson, ID & Jebb, SA 2015, 'Modelling the interplay between lifestyle factors and genetic predisposition on markers of type 2 diabetes mellitus risk' PLoS One, vol. 10, no. 7, pp. 1-15. https://doi.org/10.1371/journal.pone.0131681

Modelling the interplay between lifestyle factors and genetic predisposition on markers of type 2 diabetes mellitus risk. / Walker, C.G.; Solis-Trapala, I.; Holzapfel, C.; Ambrosini, Gina; Fuller, N.R.; Loos, R.J.F.; Hauner, H.; Caterson, I.D.; Jebb, S.A.

In: PLoS One, Vol. 10, No. 7, 2015, p. 1-15.

Research output: Contribution to journalArticle

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AU - Solis-Trapala, I.

AU - Holzapfel, C.

AU - Ambrosini, Gina

AU - Fuller, N.R.

AU - Loos, R.J.F.

AU - Hauner, H.

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AU - Jebb, S.A.

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AB - © 2015 Walker et al. The risk of developing type 2 diabetes mellitus (T2DM) is determined by a complex interplay involving lifestyle factors and genetic predisposition. Despite this, many studies do not consider the relative contributions of this complex array of factors to identify relationships which are important in progression or prevention of complex diseases. We aimed to describe the integrated effect of a number of lifestyle changes (weight, diet and physical activity) in the context of genetic susceptibility, on changes in glycaemic traits in overweight or obese participants following 12-months of a weight management programme. A sample of 353 participants from a behavioural weight management intervention were included in this study. A graphical Markov model was used to describe the impact of the intervention, by dividing the effects into various pathways comprising changes in proportion of dietary saturated fat, physical activity and weight loss, and a genetic predisposition score (T2DM-GPS), on changes in insulin sensitivity (HOMA-IR), insulin secretion (HOMA-B) and short and long term glycaemia (glucose and HbA1c). We demonstrated the use of graphical Markov modelling to identify the importance and interrelationships of a number of possible variables changed as a result of a lifestyle intervention, whilst considering fixed factors such as genetic predisposition, on changes in traits. Paths which led to weight loss and change in dietary saturated fat were important factors in the change of all glycaemic traits, whereas the T2DM-GPS only made a significant direct contribution to changes in HOMA-IR and plasma glucose after considering the effects of lifestyle factors. This analysis shows that modifiable factors relating to body weight, diet, and physical activity are more likely to impact on glycaemic traits than genetic predisposition during a behavioural intervention. Copyright:

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