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Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies

BACKGROUND: Whether habitual coffee consumption interacts with the genetic predisposition to obesity in relation to body mass index (BMI) and obesity is unknown. METHODS: We analyzed the interactions between genetic predisposition and habitual coffee consumption in relation to BMI and obesity risk i...

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Autores principales: Wang, Tiange, Huang, Tao, Kang, Jae H., Zheng, Yan, Jensen, Majken K., Wiggs, Janey L., Pasquale, Louis R., Fuchs, Charles S., Campos, Hannia, Rimm, Eric B., Willett, Walter C., Hu, Frank B., Qi, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424298/
https://www.ncbi.nlm.nih.gov/pubmed/28486942
http://dx.doi.org/10.1186/s12916-017-0862-0
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author Wang, Tiange
Huang, Tao
Kang, Jae H.
Zheng, Yan
Jensen, Majken K.
Wiggs, Janey L.
Pasquale, Louis R.
Fuchs, Charles S.
Campos, Hannia
Rimm, Eric B.
Willett, Walter C.
Hu, Frank B.
Qi, Lu
author_facet Wang, Tiange
Huang, Tao
Kang, Jae H.
Zheng, Yan
Jensen, Majken K.
Wiggs, Janey L.
Pasquale, Louis R.
Fuchs, Charles S.
Campos, Hannia
Rimm, Eric B.
Willett, Walter C.
Hu, Frank B.
Qi, Lu
author_sort Wang, Tiange
collection PubMed
description BACKGROUND: Whether habitual coffee consumption interacts with the genetic predisposition to obesity in relation to body mass index (BMI) and obesity is unknown. METHODS: We analyzed the interactions between genetic predisposition and habitual coffee consumption in relation to BMI and obesity risk in 5116 men from the Health Professionals Follow-up Study (HPFS), in 9841 women from the Nurses’ Health Study (NHS), and in 5648 women from the Women’s Health Initiative (WHI). The genetic risk score was calculated based on 77 BMI-associated loci. Coffee consumption was examined prospectively in relation to BMI. RESULTS: The genetic association with BMI was attenuated among participants with higher consumption of coffee than among those with lower consumption in the HPFS (P (interaction) = 0.023) and NHS (P (interaction) = 0.039); similar results were replicated in the WHI (P (interaction) = 0.044). In the combined data of all cohorts, differences in BMI per increment of 10-risk allele were 1.38 (standard error (SE), 0.28), 1.02 (SE, 0.10), and 0.95 (SE, 0.12) kg/m(2) for coffee consumption of < 1, 1–3 and > 3 cup(s)/day, respectively (P (interaction) < 0.001). Such interaction was partly due to slightly higher BMI with higher coffee consumption among participants at lower genetic risk and slightly lower BMI with higher coffee consumption among those at higher genetic risk. Each increment of 10-risk allele was associated with 78% (95% confidence interval (CI), 59–99%), 48% (95% CI, 36–62%), and 43% (95% CI, 28–59%) increased risk for obesity across these subgroups of coffee consumption (P (interaction) = 0.008). From another perspective, differences in BMI per increment of 1 cup/day coffee consumption were 0.02 (SE, 0.09), –0.02 (SE, 0.04), and –0.14 (SE, 0.04) kg/m(2) across tertiles of the genetic risk score. CONCLUSIONS: Higher coffee consumption might attenuate the genetic associations with BMI and obesity risk, and individuals with greater genetic predisposition to obesity appeared to have lower BMI associated with higher coffee consumption. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0862-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-54242982017-05-10 Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies Wang, Tiange Huang, Tao Kang, Jae H. Zheng, Yan Jensen, Majken K. Wiggs, Janey L. Pasquale, Louis R. Fuchs, Charles S. Campos, Hannia Rimm, Eric B. Willett, Walter C. Hu, Frank B. Qi, Lu BMC Med Research Article BACKGROUND: Whether habitual coffee consumption interacts with the genetic predisposition to obesity in relation to body mass index (BMI) and obesity is unknown. METHODS: We analyzed the interactions between genetic predisposition and habitual coffee consumption in relation to BMI and obesity risk in 5116 men from the Health Professionals Follow-up Study (HPFS), in 9841 women from the Nurses’ Health Study (NHS), and in 5648 women from the Women’s Health Initiative (WHI). The genetic risk score was calculated based on 77 BMI-associated loci. Coffee consumption was examined prospectively in relation to BMI. RESULTS: The genetic association with BMI was attenuated among participants with higher consumption of coffee than among those with lower consumption in the HPFS (P (interaction) = 0.023) and NHS (P (interaction) = 0.039); similar results were replicated in the WHI (P (interaction) = 0.044). In the combined data of all cohorts, differences in BMI per increment of 10-risk allele were 1.38 (standard error (SE), 0.28), 1.02 (SE, 0.10), and 0.95 (SE, 0.12) kg/m(2) for coffee consumption of < 1, 1–3 and > 3 cup(s)/day, respectively (P (interaction) < 0.001). Such interaction was partly due to slightly higher BMI with higher coffee consumption among participants at lower genetic risk and slightly lower BMI with higher coffee consumption among those at higher genetic risk. Each increment of 10-risk allele was associated with 78% (95% confidence interval (CI), 59–99%), 48% (95% CI, 36–62%), and 43% (95% CI, 28–59%) increased risk for obesity across these subgroups of coffee consumption (P (interaction) = 0.008). From another perspective, differences in BMI per increment of 1 cup/day coffee consumption were 0.02 (SE, 0.09), –0.02 (SE, 0.04), and –0.14 (SE, 0.04) kg/m(2) across tertiles of the genetic risk score. CONCLUSIONS: Higher coffee consumption might attenuate the genetic associations with BMI and obesity risk, and individuals with greater genetic predisposition to obesity appeared to have lower BMI associated with higher coffee consumption. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0862-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-09 /pmc/articles/PMC5424298/ /pubmed/28486942 http://dx.doi.org/10.1186/s12916-017-0862-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Tiange
Huang, Tao
Kang, Jae H.
Zheng, Yan
Jensen, Majken K.
Wiggs, Janey L.
Pasquale, Louis R.
Fuchs, Charles S.
Campos, Hannia
Rimm, Eric B.
Willett, Walter C.
Hu, Frank B.
Qi, Lu
Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies
title Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies
title_full Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies
title_fullStr Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies
title_full_unstemmed Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies
title_short Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies
title_sort habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three us prospective studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424298/
https://www.ncbi.nlm.nih.gov/pubmed/28486942
http://dx.doi.org/10.1186/s12916-017-0862-0
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