A genome-wide association study on meat consumption in a Japanese population: the Japan Multi-Institutional Collaborative Cohort study
Abstrak
Recent genome-wide association studies (GWAS) on the dietary habits of the Japanese population have shown that an effect rs671 allele was inversely associated with fish consumption, whereas it was directly associated with coffee consumption. Although meat is a major source of protein and fat in the diet, whether genetic factors that influence meat-eating habits in healthy populations are unknown. This study aimed to conduct a GWAS to find genetic variations that affect meat consumption in a Japanese population. We analysed GWAS data using 14 076 participants from the Japan Multi-Institutional Collaborative Cohort (J-MICC) study. We used a semi-quantitative food frequency questionnaire to estimate food intake that was validated previously. Association of the imputed variants with total meat consumption per 1000 kcal energy was performed by linear regression analysis with adjustments for age, sex, and principal component analysis components 1–10. We found that no genetic variant, including rs671, was associated with meat consumption. The previously reported single nucleotide polymorphisms that were associated with meat consumption in samples of European ancestry could not be replicated in our J-MICC data. In conclusion, significant genetic factors that affect meat consumption were not observed in a Japanese population.
Topik & Kata Kunci
Penulis (35)
Yasuyuki Nakamura
Akira Narita
Yoichi Sutoh
Nahomi Imaeda
Chiho Goto
Kenji Matsui
Naoyuki Takashima
Aya Kadota
Katsuyuki Miura
Masahiro Nakatochi
Takashi Tamura
Asahi Hishida
Ryoko Nakashima
Hiroaki Ikezaki
Megumi Hara
Yuichiro Nishida
Toshiro Takezaki
Rie Ibusuki
Isao Oze
Hidemi Ito
Nagato Kuriyama
Etsuko Ozaki
Haruo Mikami
Miho Kusakabe
Hiroko Nakagawa-Senda
Sadao Suzuki
Sakurako Katsuura-Kamano
Kokichi Arisawa
Kiyonori Kuriki
Yukihide Momozawa
Michiaki Kubo
Kenji Takeuchi
Yoshikuni Kita
Kenji Wakai
for the J-MICC Research Group
Akses Cepat
- Tahun Terbit
- 2021
- Sumber Database
- DOAJ
- DOI
- 10.1017/jns.2021.49
- Akses
- Open Access ✓