Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis.
<h4>Background</h4>The relationship between lifestyle and obesity is a major focus of research. Personalized nutrition, which utilizes evidence from nutrigenomics, such as gene-environment interactions, has been attracting attention in recent years. However, evidence for gene-environment...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0279169 |
| _version_ | 1811166128389488640 |
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| author | Sho Nakamura Xuemin Fang Yoshinobu Saito Hiroto Narimatsu Azusa Ota Hiroaki Ikezaki Chisato Shimanoe Keitaro Tanaka Yoko Kubo Mineko Tsukamoto Takashi Tamura Asahi Hishida Isao Oze Yuriko N Koyanagi Yohko Nakamura Miho Kusakabe Toshiro Takezaki Daisaku Nishimoto Sadao Suzuki Takahiro Otani Nagato Kuriyama Daisuke Matsui Kiyonori Kuriki Aya Kadota Yasuyuki Nakamura Kokichi Arisawa Sakurako Katsuura-Kamano Masahiro Nakatochi Yukihide Momozawa Michiaki Kubo Kenji Takeuchi Kenji Wakai |
| author_facet | Sho Nakamura Xuemin Fang Yoshinobu Saito Hiroto Narimatsu Azusa Ota Hiroaki Ikezaki Chisato Shimanoe Keitaro Tanaka Yoko Kubo Mineko Tsukamoto Takashi Tamura Asahi Hishida Isao Oze Yuriko N Koyanagi Yohko Nakamura Miho Kusakabe Toshiro Takezaki Daisaku Nishimoto Sadao Suzuki Takahiro Otani Nagato Kuriyama Daisuke Matsui Kiyonori Kuriki Aya Kadota Yasuyuki Nakamura Kokichi Arisawa Sakurako Katsuura-Kamano Masahiro Nakatochi Yukihide Momozawa Michiaki Kubo Kenji Takeuchi Kenji Wakai |
| author_sort | Sho Nakamura |
| collection | DOAJ |
| description | <h4>Background</h4>The relationship between lifestyle and obesity is a major focus of research. Personalized nutrition, which utilizes evidence from nutrigenomics, such as gene-environment interactions, has been attracting attention in recent years. However, evidence for gene-environment interactions that can inform treatment strategies is lacking, despite some reported interactions involving dietary intake or physical activity. Utilizing gene-lifestyle interactions in practice could aid in optimizing interventions according to genetic risk.<h4>Methods</h4>This study aimed to elucidate the effects of gene-lifestyle interactions on body mass index (BMI). Cross-sectional data from the Japan Multi-Institutional Collaborative Cohort Study were used. Interactions between a multi-locus genetic risk score (GRS), calculated from 76 ancestry-specific single nucleotide polymorphisms, and nutritional intake or physical activity were assessed using a linear mixed-effect model.<h4>Results</h4>The mean (standard deviation) BMI and GRS for all participants (n = 12,918) were 22.9 (3.0) kg/m2 and -0.07 (0.16), respectively. The correlation between GRS and BMI was r(12,916) = 0.13 (95% confidence interval [CI] 0.11-0.15, P < 0.001). An interaction between GRS and saturated fatty acid intake was observed (β = -0.11, 95% CI -0.21 to -0.02). An interaction between GRS and n-3 polyunsaturated fatty acids was also observed in the females with normal-weight subgroup (β = -0.12, 95% CI -0.22 to -0.03).<h4>Conclusion</h4>Our results provide evidence of an interaction effect between GRS and nutritional intake and physical activity. This gene-lifestyle interaction provides a basis for developing prevention or treatment interventions for obesity according to individual genetic predisposition. |
| first_indexed | 2024-04-10T15:47:30Z |
| format | Article |
| id | doaj.art-790a78005eb54042a67e73468ffe0240 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-10T15:47:30Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-790a78005eb54042a67e73468ffe02402023-02-12T05:30:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01182e027916910.1371/journal.pone.0279169Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis.Sho NakamuraXuemin FangYoshinobu SaitoHiroto NarimatsuAzusa OtaHiroaki IkezakiChisato ShimanoeKeitaro TanakaYoko KuboMineko TsukamotoTakashi TamuraAsahi HishidaIsao OzeYuriko N KoyanagiYohko NakamuraMiho KusakabeToshiro TakezakiDaisaku NishimotoSadao SuzukiTakahiro OtaniNagato KuriyamaDaisuke MatsuiKiyonori KurikiAya KadotaYasuyuki NakamuraKokichi ArisawaSakurako Katsuura-KamanoMasahiro NakatochiYukihide MomozawaMichiaki KuboKenji TakeuchiKenji Wakai<h4>Background</h4>The relationship between lifestyle and obesity is a major focus of research. Personalized nutrition, which utilizes evidence from nutrigenomics, such as gene-environment interactions, has been attracting attention in recent years. However, evidence for gene-environment interactions that can inform treatment strategies is lacking, despite some reported interactions involving dietary intake or physical activity. Utilizing gene-lifestyle interactions in practice could aid in optimizing interventions according to genetic risk.<h4>Methods</h4>This study aimed to elucidate the effects of gene-lifestyle interactions on body mass index (BMI). Cross-sectional data from the Japan Multi-Institutional Collaborative Cohort Study were used. Interactions between a multi-locus genetic risk score (GRS), calculated from 76 ancestry-specific single nucleotide polymorphisms, and nutritional intake or physical activity were assessed using a linear mixed-effect model.<h4>Results</h4>The mean (standard deviation) BMI and GRS for all participants (n = 12,918) were 22.9 (3.0) kg/m2 and -0.07 (0.16), respectively. The correlation between GRS and BMI was r(12,916) = 0.13 (95% confidence interval [CI] 0.11-0.15, P < 0.001). An interaction between GRS and saturated fatty acid intake was observed (β = -0.11, 95% CI -0.21 to -0.02). An interaction between GRS and n-3 polyunsaturated fatty acids was also observed in the females with normal-weight subgroup (β = -0.12, 95% CI -0.22 to -0.03).<h4>Conclusion</h4>Our results provide evidence of an interaction effect between GRS and nutritional intake and physical activity. This gene-lifestyle interaction provides a basis for developing prevention or treatment interventions for obesity according to individual genetic predisposition.https://doi.org/10.1371/journal.pone.0279169 |
| spellingShingle | Sho Nakamura Xuemin Fang Yoshinobu Saito Hiroto Narimatsu Azusa Ota Hiroaki Ikezaki Chisato Shimanoe Keitaro Tanaka Yoko Kubo Mineko Tsukamoto Takashi Tamura Asahi Hishida Isao Oze Yuriko N Koyanagi Yohko Nakamura Miho Kusakabe Toshiro Takezaki Daisaku Nishimoto Sadao Suzuki Takahiro Otani Nagato Kuriyama Daisuke Matsui Kiyonori Kuriki Aya Kadota Yasuyuki Nakamura Kokichi Arisawa Sakurako Katsuura-Kamano Masahiro Nakatochi Yukihide Momozawa Michiaki Kubo Kenji Takeuchi Kenji Wakai Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis. PLoS ONE |
| title | Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis. |
| title_full | Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis. |
| title_fullStr | Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis. |
| title_full_unstemmed | Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis. |
| title_short | Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis. |
| title_sort | effects of gene lifestyle interactions on obesity based on a multi locus risk score a cross sectional analysis |
| url | https://doi.org/10.1371/journal.pone.0279169 |
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