Dietary Intake, FTO genetic variants, and adiposity: A combined analysis of over 16,000 children and adolescents

Qibin Qi; Mary K. Downer; Tuomas O. Kilpelainen; H. Rob Taal; Sheila J. Barton; Ioanna Ntalla; Marie Standl; Vesna Boraska; Ville Huikari; Jessica C. Kiefte-De Jong; Antje Körner; Timo A. Lakka; Gaifen Liu; Jessica Magnusson; Masayuki Okuda; Olli Raitakari; Rebecca Richmond; Robert A. Scott; Mark E.S. Bailey; Kathrin Scheuermann; John W. Holloway; Hazel Inskip; Carmen R. Isasi; Yasmin Mossavar-Rahmani; Vincent W.V. Jaddoe; Jaana Laitinen; Virpi Lindi; Erik Melén; Yannis Pitsiladis; Niina Pitkanen; Harold Snieder; Joachim Heinrich; Nicholas J. Timpson; Tao Wang; Hinoda Yuji; Eleftheria Zeggini; George V. Dedoussis; Robert C. Kaplan; Judith Wylie-Rosett; Ruth J.F. Loos; Frank B. Hu; Lu Qi

doi:10.2337/db14-1629

Dietary Intake, FTO genetic variants, and adiposity: A combined analysis of over 16,000 children and adolescents

Qibin Qi, Mary K. Downer, Tuomas O. Kilpelainen, H. Rob Taal, Sheila J. Barton, Ioanna Ntalla, Marie Standl, Vesna Boraska, Ville Huikari, Jessica C. Kiefte-De Jong, Antje Körner, Timo A. Lakka, Gaifen Liu, Jessica Magnusson, Masayuki Okuda, Olli Raitakari, Rebecca Richmond, Robert A. Scott, Mark E.S. Bailey, Kathrin ScheuermannJohn W. Holloway, Hazel Inskip, Carmen R. Isasi, Yasmin Mossavar-Rahmani, Vincent W.V. Jaddoe, Jaana Laitinen, Virpi Lindi, Erik Melén, Yannis Pitsiladis, Niina Pitkanen, Harold Snieder, Joachim Heinrich, Nicholas J. Timpson, Tao Wang, Hinoda Yuji, Eleftheria Zeggini, George V. Dedoussis, Robert C. Kaplan, Judith Wylie-Rosett, Ruth J.F. Loos, Frank B. Hu, Lu Qi

Epidemiology & Population Health

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Abstract

The FTO gene harbors variation with the strongest effect on adiposity and obesity risk. Previous data support a role for FTO variation in influencing food intake. We conducted a combined analysis of 16,094 boys and girls aged 1-18 years from 14 studies to examine the following: 1) the association between the FTO rs9939609 variant (or a proxy) and total energy and macronutrient intake; and 2) the interaction between the FTO variant and dietary intake, and the effect on BMI. We found that the BMIincreasing allele (minor allele) of the FTO variant was associated with increased total energy intake (effect per allele = 14.3 kcal/day [95%CI 5.9, 22.7 kcal/day], P = 6.5 3 1024), but not with protein, carbohydrate, or fat intake. We also found that protein intake modified the association between the FTO variant and BMI (interactive effect per allele = 0.08 SD [0.03, 0.12 SD], P for interaction = 7.2 3 1024): the association between FTO genotype and BMI was much stronger in individuals with high protein intake (effect per allele = 0.10 SD [0.07, 0.13 SD], P = 8.2 3 10210) than in those with low intake (effect per allele = 0.04 SD [0.01, 0.07 SD], P = 0.02). Our results suggest that the FTO variant that confers a predisposition to higher BMI is associated with higher total energy intake, and that lower dietary protein intake attenuates the association between FTO genotype and adiposity in children and adolescents.

Original language	English (US)
Pages (from-to)	2467-2476
Number of pages	10
Journal	Diabetes
Volume	64
Issue number	7
DOIs	https://doi.org/10.2337/db14-1629
State	Published - Jul 2015

ASJC Scopus subject areas

Internal Medicine
Endocrinology, Diabetes and Metabolism

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10.2337/db14-1629

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Qi, Q., Downer, M. K., Kilpelainen, T. O., Taal, H. R., Barton, S. J., Ntalla, I., Standl, M., Boraska, V., Huikari, V., Kiefte-De Jong, J. C., Körner, A., Lakka, T. A., Liu, G., Magnusson, J., Okuda, M., Raitakari, O., Richmond, R., Scott, R. A., Bailey, M. E. S., ... Qi, L. (2015). Dietary Intake, FTO genetic variants, and adiposity: A combined analysis of over 16,000 children and adolescents. Diabetes, 64(7), 2467-2476. https://doi.org/10.2337/db14-1629

Qi, Q, Downer, MK, Kilpelainen, TO, Taal, HR, Barton, SJ, Ntalla, I, Standl, M, Boraska, V, Huikari, V, Kiefte-De Jong, JC, Körner, A, Lakka, TA, Liu, G, Magnusson, J, Okuda, M, Raitakari, O, Richmond, R, Scott, RA, Bailey, MES, Scheuermann, K, Holloway, JW, Inskip, H, Isasi, CR , Mossavar-Rahmani, Y, Jaddoe, VWV, Laitinen, J, Lindi, V, Melén, E, Pitsiladis, Y, Pitkanen, N, Snieder, H, Heinrich, J, Timpson, NJ, Wang, T, Yuji, H, Zeggini, E, Dedoussis, GV, Kaplan, RC , Wylie-Rosett, J, Loos, RJF, Hu, FB & Qi, L 2015, 'Dietary Intake, FTO genetic variants, and adiposity: A combined analysis of over 16,000 children and adolescents', Diabetes, vol. 64, no. 7, pp. 2467-2476. https://doi.org/10.2337/db14-1629

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title = "Dietary Intake, FTO genetic variants, and adiposity: A combined analysis of over 16,000 children and adolescents",

abstract = "The FTO gene harbors variation with the strongest effect on adiposity and obesity risk. Previous data support a role for FTO variation in influencing food intake. We conducted a combined analysis of 16,094 boys and girls aged 1-18 years from 14 studies to examine the following: 1) the association between the FTO rs9939609 variant (or a proxy) and total energy and macronutrient intake; and 2) the interaction between the FTO variant and dietary intake, and the effect on BMI. We found that the BMIincreasing allele (minor allele) of the FTO variant was associated with increased total energy intake (effect per allele = 14.3 kcal/day [95%CI 5.9, 22.7 kcal/day], P = 6.5 3 1024), but not with protein, carbohydrate, or fat intake. We also found that protein intake modified the association between the FTO variant and BMI (interactive effect per allele = 0.08 SD [0.03, 0.12 SD], P for interaction = 7.2 3 1024): the association between FTO genotype and BMI was much stronger in individuals with high protein intake (effect per allele = 0.10 SD [0.07, 0.13 SD], P = 8.2 3 10210) than in those with low intake (effect per allele = 0.04 SD [0.01, 0.07 SD], P = 0.02). Our results suggest that the FTO variant that confers a predisposition to higher BMI is associated with higher total energy intake, and that lower dietary protein intake attenuates the association between FTO genotype and adiposity in children and adolescents.",

author = "Qibin Qi and Downer, {Mary K.} and Kilpelainen, {Tuomas O.} and Taal, {H. Rob} and Barton, {Sheila J.} and Ioanna Ntalla and Marie Standl and Vesna Boraska and Ville Huikari and {Kiefte-De Jong}, {Jessica C.} and Antje K{\"o}rner and Lakka, {Timo A.} and Gaifen Liu and Jessica Magnusson and Masayuki Okuda and Olli Raitakari and Rebecca Richmond and Scott, {Robert A.} and Bailey, {Mark E.S.} and Kathrin Scheuermann and Holloway, {John W.} and Hazel Inskip and Isasi, {Carmen R.} and Yasmin Mossavar-Rahmani and Jaddoe, {Vincent W.V.} and Jaana Laitinen and Virpi Lindi and Erik Mel{\'e}n and Yannis Pitsiladis and Niina Pitkanen and Harold Snieder and Joachim Heinrich and Timpson, {Nicholas J.} and Tao Wang and Hinoda Yuji and Eleftheria Zeggini and Dedoussis, {George V.} and Kaplan, {Robert C.} and Judith Wylie-Rosett and Loos, {Ruth J.F.} and Hu, {Frank B.} and Lu Qi",

note = "Publisher Copyright: {\textcopyright} 2015 by the American Diabetes Association.",

year = "2015",

month = jul,

doi = "10.2337/db14-1629",

language = "English (US)",

volume = "64",

pages = "2467--2476",

journal = "Diabetes",

issn = "0012-1797",

publisher = "American Diabetes Association Inc.",

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T1 - Dietary Intake, FTO genetic variants, and adiposity

T2 - A combined analysis of over 16,000 children and adolescents

AU - Qi, Qibin

AU - Downer, Mary K.

AU - Kilpelainen, Tuomas O.

AU - Taal, H. Rob

AU - Barton, Sheila J.

AU - Ntalla, Ioanna

AU - Standl, Marie

AU - Boraska, Vesna

AU - Huikari, Ville

AU - Kiefte-De Jong, Jessica C.

AU - Körner, Antje

AU - Lakka, Timo A.

AU - Liu, Gaifen

AU - Magnusson, Jessica

AU - Okuda, Masayuki

AU - Raitakari, Olli

AU - Richmond, Rebecca

AU - Scott, Robert A.

AU - Bailey, Mark E.S.

AU - Scheuermann, Kathrin

AU - Holloway, John W.

AU - Inskip, Hazel

AU - Isasi, Carmen R.

AU - Mossavar-Rahmani, Yasmin

AU - Jaddoe, Vincent W.V.

AU - Laitinen, Jaana

AU - Lindi, Virpi

AU - Melén, Erik

AU - Pitsiladis, Yannis

AU - Pitkanen, Niina

AU - Snieder, Harold

AU - Heinrich, Joachim

AU - Timpson, Nicholas J.

AU - Wang, Tao

AU - Yuji, Hinoda

AU - Zeggini, Eleftheria

AU - Dedoussis, George V.

AU - Kaplan, Robert C.

AU - Wylie-Rosett, Judith

AU - Loos, Ruth J.F.

AU - Hu, Frank B.

AU - Qi, Lu

PY - 2015/7

Y1 - 2015/7

N2 - The FTO gene harbors variation with the strongest effect on adiposity and obesity risk. Previous data support a role for FTO variation in influencing food intake. We conducted a combined analysis of 16,094 boys and girls aged 1-18 years from 14 studies to examine the following: 1) the association between the FTO rs9939609 variant (or a proxy) and total energy and macronutrient intake; and 2) the interaction between the FTO variant and dietary intake, and the effect on BMI. We found that the BMIincreasing allele (minor allele) of the FTO variant was associated with increased total energy intake (effect per allele = 14.3 kcal/day [95%CI 5.9, 22.7 kcal/day], P = 6.5 3 1024), but not with protein, carbohydrate, or fat intake. We also found that protein intake modified the association between the FTO variant and BMI (interactive effect per allele = 0.08 SD [0.03, 0.12 SD], P for interaction = 7.2 3 1024): the association between FTO genotype and BMI was much stronger in individuals with high protein intake (effect per allele = 0.10 SD [0.07, 0.13 SD], P = 8.2 3 10210) than in those with low intake (effect per allele = 0.04 SD [0.01, 0.07 SD], P = 0.02). Our results suggest that the FTO variant that confers a predisposition to higher BMI is associated with higher total energy intake, and that lower dietary protein intake attenuates the association between FTO genotype and adiposity in children and adolescents.

AB - The FTO gene harbors variation with the strongest effect on adiposity and obesity risk. Previous data support a role for FTO variation in influencing food intake. We conducted a combined analysis of 16,094 boys and girls aged 1-18 years from 14 studies to examine the following: 1) the association between the FTO rs9939609 variant (or a proxy) and total energy and macronutrient intake; and 2) the interaction between the FTO variant and dietary intake, and the effect on BMI. We found that the BMIincreasing allele (minor allele) of the FTO variant was associated with increased total energy intake (effect per allele = 14.3 kcal/day [95%CI 5.9, 22.7 kcal/day], P = 6.5 3 1024), but not with protein, carbohydrate, or fat intake. We also found that protein intake modified the association between the FTO variant and BMI (interactive effect per allele = 0.08 SD [0.03, 0.12 SD], P for interaction = 7.2 3 1024): the association between FTO genotype and BMI was much stronger in individuals with high protein intake (effect per allele = 0.10 SD [0.07, 0.13 SD], P = 8.2 3 10210) than in those with low intake (effect per allele = 0.04 SD [0.01, 0.07 SD], P = 0.02). Our results suggest that the FTO variant that confers a predisposition to higher BMI is associated with higher total energy intake, and that lower dietary protein intake attenuates the association between FTO genotype and adiposity in children and adolescents.

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JO - Diabetes

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ER -

Dietary Intake, FTO genetic variants, and adiposity: A combined analysis of over 16,000 children and adolescents

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