Details

Autor(en) / Beteiligte

• 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

Titel

Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis

Ist Teil von

• PloS one, 2023-01, Vol.18 (2), p.e0279169

Ort / Verlag

Public Library of Science (PLoS)

Erscheinungsjahr

2023

Link zum Volltext

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• BackgroundThe 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.MethodsThis 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.ResultsThe 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).ConclusionOur 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.