Interaction between genetic predisposition to adiposity and dietary protein in relation to subsequent change in body weight and waist circumference

Mikkel Zøllner Ankarfeldt; Sofus C Larsen; Lars Ängquist; Lise Lotte Nystrup Husemoen; Nina Roswall; Kim Overvad; Marianne Uhre Jakobsen; Jytte Halkjær; Anne Tjønneland; Allan Linneberg; Ulla Toft; Torben Hansen; Oluf Pedersen; Berit L Heitmann; Arne Astrup; Thorkild I.A. Sørensen

doi:10.1371/journal.pone.0110890

Interaction between genetic predisposition to adiposity and dietary protein in relation to subsequent change in body weight and waist circumference

Mikkel Zøllner Ankarfeldt, Sofus C Larsen, Lars Ängquist, Lise Lotte Nystrup Husemoen, Nina Roswall, Kim Overvad, Marianne Uhre Jakobsen, Jytte Halkjær, Anne Tjønneland, Allan Linneberg, Ulla Toft, Torben Hansen, Oluf Pedersen, Berit L Heitmann, Arne Astrup, Thorkild I.A. Sørensen

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Abstract

Design: Three different Danish cohorts were used. In total 7,054 individuals constituted the study population with information on diet, 50 single-nucleotide polymorphisms (SNPs) associated with BMI, WC or WHR_BMI, as well as potential confounders. Mean follow-up time was ∼5 years. Four genetic predisposition-scores were based on the SNPs; a completescore including all selected adiposity- associated SNPs, and three scores including BMI, WC or WHR_BMI associated polymorphisms, respectively. The association between protein intake and DBW or DWC were examined and interactions between SNP-score and protein were investigated. Analyses were based on linear regressions using macronutrient substitution models and meta-analyses.

Results: When protein replaced carbohydrate, meta-analyses showed no associations with ΔBW (41.0 gram/y/5 energy% protein, [95% CI: 232.3; 114.3]) or ΔWC (<-1 mm/y/5 energy % protein, [21.1; 1.1]). Similarly, there were no interactions for any SNP-scores and protein for either ΔBW (complete SNP-score: 1.8 gram/y/5 energy% protein/risk allele, [27.0; 10.6]) or ΔWC (complete SNP-score: >0.1 mm/y/5 energy% protein/risk allele, [-.1; 0.1]). Similar results were seen when protein replaced fat.

Conclusion: This study indicates that the genetic predisposition to general and abdominal adiposity, assessed by genescores, does not seem to modulate the influence of dietary protein on ΔBW or ΔWC.

Background: Genetic predisposition to adiposity may interact with dietary protein in relation to changes of anthropometry.

Objective: To investigate the interaction between genetic predisposition to higher body mass index (BMI), waist circumference (WC) or waist-hip ratio adjusted for BMI (WHR_BMI) and dietary protein in relation to subsequent change in body weight (ΔBW) or change in WC (ΔWC).

Original language	English
Article number	e110890
Journal	P L o S One
Volume	9
Issue number	10
Number of pages	10
ISSN	1932-6203
DOIs	https://doi.org/10.1371/journal.pone.0110890
Publication status	Published - 28 Oct 2014

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Ankarfeldt, M. Z., Larsen, S. C., Ängquist, L., Husemoen, L. L. N., Roswall, N., Overvad, K., Jakobsen, M. U., Halkjær, J., Tjønneland, A., Linneberg, A., Toft, U., Hansen, T., Pedersen, O., Heitmann, B. L., Astrup, A., & Sørensen, T. I. A. (2014). Interaction between genetic predisposition to adiposity and dietary protein in relation to subsequent change in body weight and waist circumference. P L o S One, 9(10), [e110890]. https://doi.org/10.1371/journal.pone.0110890

Ankarfeldt, MZ, Larsen, SC, Ängquist, L, Husemoen, LLN, Roswall, N, Overvad, K, Jakobsen, MU, Halkjær, J, Tjønneland, A, Linneberg, A , Toft, U , Hansen, T , Pedersen, O , Heitmann, BL, Astrup, A & Sørensen, TIA 2014, 'Interaction between genetic predisposition to adiposity and dietary protein in relation to subsequent change in body weight and waist circumference', P L o S One, vol. 9, no. 10, e110890. https://doi.org/10.1371/journal.pone.0110890

@article{d16e0a2a7caf4ea6ab1ac31f67b36e30,

title = "Interaction between genetic predisposition to adiposity and dietary protein in relation to subsequent change in body weight and waist circumference",

abstract = "Design: Three different Danish cohorts were used. In total 7,054 individuals constituted the study population with information on diet, 50 single-nucleotide polymorphisms (SNPs) associated with BMI, WC or WHRBMI, as well as potential confounders. Mean follow-up time was ∼5 years. Four genetic predisposition-scores were based on the SNPs; a completescore including all selected adiposity- associated SNPs, and three scores including BMI, WC or WHRBMI associated polymorphisms, respectively. The association between protein intake and DBW or DWC were examined and interactions between SNP-score and protein were investigated. Analyses were based on linear regressions using macronutrient substitution models and meta-analyses.Results: When protein replaced carbohydrate, meta-analyses showed no associations with ΔBW (41.0 gram/y/5 energy% protein, [95% CI: 232.3; 114.3]) or ΔWC (<-1 mm/y/5 energy % protein, [21.1; 1.1]). Similarly, there were no interactions for any SNP-scores and protein for either ΔBW (complete SNP-score: 1.8 gram/y/5 energy% protein/risk allele, [27.0; 10.6]) or ΔWC (complete SNP-score: >0.1 mm/y/5 energy% protein/risk allele, [-.1; 0.1]). Similar results were seen when protein replaced fat.Conclusion: This study indicates that the genetic predisposition to general and abdominal adiposity, assessed by genescores, does not seem to modulate the influence of dietary protein on ΔBW or ΔWC.Background: Genetic predisposition to adiposity may interact with dietary protein in relation to changes of anthropometry.Objective: To investigate the interaction between genetic predisposition to higher body mass index (BMI), waist circumference (WC) or waist-hip ratio adjusted for BMI (WHRBMI) and dietary protein in relation to subsequent change in body weight (ΔBW) or change in WC (ΔWC).",

author = "Ankarfeldt, {Mikkel Z{\o}llner} and Larsen, {Sofus C} and Lars {\"A}ngquist and Husemoen, {Lise Lotte Nystrup} and Nina Roswall and Kim Overvad and Jakobsen, {Marianne Uhre} and Jytte Halkj{\ae}r and Anne Tj{\o}nneland and Allan Linneberg and Ulla Toft and Torben Hansen and Oluf Pedersen and Heitmann, {Berit L} and Arne Astrup and S{\o}rensen, {Thorkild I.A.}",

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month = oct,

day = "28",

doi = "10.1371/journal.pone.0110890",

language = "English",

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issn = "1932-6203",

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TY - JOUR

T1 - Interaction between genetic predisposition to adiposity and dietary protein in relation to subsequent change in body weight and waist circumference

AU - Ankarfeldt, Mikkel Zøllner

AU - Larsen, Sofus C

AU - Ängquist, Lars

AU - Husemoen, Lise Lotte Nystrup

AU - Roswall, Nina

AU - Overvad, Kim

AU - Jakobsen, Marianne Uhre

AU - Halkjær, Jytte

AU - Tjønneland, Anne

AU - Linneberg, Allan

AU - Toft, Ulla

AU - Hansen, Torben

AU - Pedersen, Oluf

AU - Heitmann, Berit L

AU - Astrup, Arne

AU - Sørensen, Thorkild I.A.

N1 - CURIS 2014 NEXS 318

PY - 2014/10/28

Y1 - 2014/10/28

N2 - Design: Three different Danish cohorts were used. In total 7,054 individuals constituted the study population with information on diet, 50 single-nucleotide polymorphisms (SNPs) associated with BMI, WC or WHRBMI, as well as potential confounders. Mean follow-up time was ∼5 years. Four genetic predisposition-scores were based on the SNPs; a completescore including all selected adiposity- associated SNPs, and three scores including BMI, WC or WHRBMI associated polymorphisms, respectively. The association between protein intake and DBW or DWC were examined and interactions between SNP-score and protein were investigated. Analyses were based on linear regressions using macronutrient substitution models and meta-analyses.Results: When protein replaced carbohydrate, meta-analyses showed no associations with ΔBW (41.0 gram/y/5 energy% protein, [95% CI: 232.3; 114.3]) or ΔWC (<-1 mm/y/5 energy % protein, [21.1; 1.1]). Similarly, there were no interactions for any SNP-scores and protein for either ΔBW (complete SNP-score: 1.8 gram/y/5 energy% protein/risk allele, [27.0; 10.6]) or ΔWC (complete SNP-score: >0.1 mm/y/5 energy% protein/risk allele, [-.1; 0.1]). Similar results were seen when protein replaced fat.Conclusion: This study indicates that the genetic predisposition to general and abdominal adiposity, assessed by genescores, does not seem to modulate the influence of dietary protein on ΔBW or ΔWC.Background: Genetic predisposition to adiposity may interact with dietary protein in relation to changes of anthropometry.Objective: To investigate the interaction between genetic predisposition to higher body mass index (BMI), waist circumference (WC) or waist-hip ratio adjusted for BMI (WHRBMI) and dietary protein in relation to subsequent change in body weight (ΔBW) or change in WC (ΔWC).

AB - Design: Three different Danish cohorts were used. In total 7,054 individuals constituted the study population with information on diet, 50 single-nucleotide polymorphisms (SNPs) associated with BMI, WC or WHRBMI, as well as potential confounders. Mean follow-up time was ∼5 years. Four genetic predisposition-scores were based on the SNPs; a completescore including all selected adiposity- associated SNPs, and three scores including BMI, WC or WHRBMI associated polymorphisms, respectively. The association between protein intake and DBW or DWC were examined and interactions between SNP-score and protein were investigated. Analyses were based on linear regressions using macronutrient substitution models and meta-analyses.Results: When protein replaced carbohydrate, meta-analyses showed no associations with ΔBW (41.0 gram/y/5 energy% protein, [95% CI: 232.3; 114.3]) or ΔWC (<-1 mm/y/5 energy % protein, [21.1; 1.1]). Similarly, there were no interactions for any SNP-scores and protein for either ΔBW (complete SNP-score: 1.8 gram/y/5 energy% protein/risk allele, [27.0; 10.6]) or ΔWC (complete SNP-score: >0.1 mm/y/5 energy% protein/risk allele, [-.1; 0.1]). Similar results were seen when protein replaced fat.Conclusion: This study indicates that the genetic predisposition to general and abdominal adiposity, assessed by genescores, does not seem to modulate the influence of dietary protein on ΔBW or ΔWC.Background: Genetic predisposition to adiposity may interact with dietary protein in relation to changes of anthropometry.Objective: To investigate the interaction between genetic predisposition to higher body mass index (BMI), waist circumference (WC) or waist-hip ratio adjusted for BMI (WHRBMI) and dietary protein in relation to subsequent change in body weight (ΔBW) or change in WC (ΔWC).

U2 - 10.1371/journal.pone.0110890

DO - 10.1371/journal.pone.0110890

M3 - Journal article

C2 - 25350854

SN - 1932-6203

VL - 9

JO - PLoS Computational Biology

JF - PLoS Computational Biology

IS - 10

M1 - e110890

ER -

Interaction between genetic predisposition to adiposity and dietary protein in relation to subsequent change in body weight and waist circumference

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