TY - JOUR
T1 - Population-Based Impact of Smoking, Drinking, and Genetic Factors on HDL-cholesterol Levels in J-MICC Study Participants
AU - for the Japan Multi-Institutional Collaborative Cohort Study Group
AU - Nindita, Yora
AU - Nakatochi, Masahiro
AU - Ibusuki, Rie
AU - Shimoshikiryo, Ippei
AU - Nishimoto, Daisaku
AU - Shimatani, Keiichi
AU - Takezaki, Toshiro
AU - Ikezaki, Hiroaki
AU - Murata, Masayuki
AU - Hara, Megumi
AU - Nishida, Yuichiro
AU - Tamura, Takashi
AU - Hishida, Asahi
AU - Nagayoshi, Mako
AU - Okada, Rieko
AU - Matsuo, Keitaro
AU - Ito, Hidemi
AU - Mikami, Haruo
AU - Nakamura, Yohko
AU - Otani, Takahiro
AU - Suzuki, Sadao
AU - Koyama, Teruhide
AU - Ozaki, Etsuko
AU - Kuriki, Kiyonori
AU - Takashima, Naoyuki
AU - Miyagawa, Naoko
AU - Arisawa, Kokichi
AU - Katsuura-Kamano, Sakurako
AU - Momozawa, Yukihide
AU - Kubo, Michiaki
AU - Takeuchi, Kenji
AU - Wakai, Kenji
N1 - Funding Information:
We thank Dr Nobuyuki Hamajima and Dr Hideo Tanaka for initiating and organizing the J-MICC Study as former principal investigators. We also thank the study participants and the members of the J-MICC Study Group. This study was supported by a Grants-in-Aid for Scientific Research for Priority Areas of Cancer (No. 17015018) and Innovative Areas (No. 221S0001) and by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant (No. 16H06277 [CoBiA]) from the Japanese Ministry of Education, Culture, Sports, Science and Technology. This study was also supported in part by funds for the BioBank Japan Project received from the Japan Agency for Medical Research and Development since April 2015, and from the Ministry of Education, Culture, Sports, Science and Technology from April 2003 to March 2015.
Publisher Copyright:
© 2021 Yora Nindita et al.
PY - 2023
Y1 - 2023
N2 - Background: Environmental and genetic factors are suggested to exhibit factor-based association with HDL-cholesterol (HDL-C) levels. However, the population-based effects of environmental and genetic factors have not been compared clearly. We conducted a cross-sectional study using data from the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study to evaluate the population-based impact of smoking, drinking, and genetic factors on low HDL-C. Methods: Data from 11,498 men and women aged 35–69 years were collected for a genome-wide association study (GWAS). Sixty-five HDL-C-related SNPs with genome-wide significance (P <5×10−8) were selected from the GWAS catalog, of which seven representative SNPs were defined, and the population-based impact was estimated using population attributable fraction (PAF). Results: We found that smoking, drinking, daily activity, habitual exercise, egg intake, BMI, age, sex, and the SNPs CETP rs3764261, APOA5 rs662799, LIPC rs1800588, LPL rs328, ABCA1 rs2575876, LIPG rs3786247, and APOE rs429358 were associated with HDL-C levels. The gene-environmental interactions on smoking and drinking were not statistically significant. The PAF for low HDL-C was the highest in men (63.2%) and in rs3764261 (31.5%) of the genetic factors, and the PAFs of smoking and drinking were 23.1% and 41.8%, respectively. Conclusion: The present study showed that the population-based impact of genomic factor CETP rs3764261 for low HDL-C was higher than that of smoking and lower than that of drinking.
AB - Background: Environmental and genetic factors are suggested to exhibit factor-based association with HDL-cholesterol (HDL-C) levels. However, the population-based effects of environmental and genetic factors have not been compared clearly. We conducted a cross-sectional study using data from the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study to evaluate the population-based impact of smoking, drinking, and genetic factors on low HDL-C. Methods: Data from 11,498 men and women aged 35–69 years were collected for a genome-wide association study (GWAS). Sixty-five HDL-C-related SNPs with genome-wide significance (P <5×10−8) were selected from the GWAS catalog, of which seven representative SNPs were defined, and the population-based impact was estimated using population attributable fraction (PAF). Results: We found that smoking, drinking, daily activity, habitual exercise, egg intake, BMI, age, sex, and the SNPs CETP rs3764261, APOA5 rs662799, LIPC rs1800588, LPL rs328, ABCA1 rs2575876, LIPG rs3786247, and APOE rs429358 were associated with HDL-C levels. The gene-environmental interactions on smoking and drinking were not statistically significant. The PAF for low HDL-C was the highest in men (63.2%) and in rs3764261 (31.5%) of the genetic factors, and the PAFs of smoking and drinking were 23.1% and 41.8%, respectively. Conclusion: The present study showed that the population-based impact of genomic factor CETP rs3764261 for low HDL-C was higher than that of smoking and lower than that of drinking.
KW - HDL-cholesterol
KW - drinking
KW - gene-environmental interaction
KW - single nucleotide polymorphism
KW - smoking
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U2 - 10.2188/jea.JE20210142
DO - 10.2188/jea.JE20210142
M3 - Article
C2 - 34421081
AN - SCOPUS:85152173927
SN - 0917-5040
VL - 33
SP - 193
EP - 200
JO - Journal of Epidemiology
JF - Journal of Epidemiology
IS - 4
ER -