Population-Based Impact of Smoking, Drinking, and Genetic Factors on HDL-cholesterol Levels in J-MICC Study Participants

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  • Nindita Yora
    Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences Department of Pharmacology and Therapeutic, Faculty of Medicine, Diponegoro University
  • Nakatochi Masahiro
    Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine
  • Ibusuki Rie
    Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
  • Shimoshikiryo Ippei
    Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
  • Nishimoto Daisaku
    Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences School of Health Sciences, Faculty of Medicine, Kagoshima University
  • Shimatani Keiichi
    Division of Nursing, Higashigaoka Faculty of Nursing, Tokyo Healthcare University
  • Takezaki Toshiro
    Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
  • Ikezaki Hiroaki
    Department of Comprehensive General Internal Medicine, Kyushu University Graduate School of Medical Sciences, Faculty of Medical Sciences Department of General Internal Medicine, Kyushu University Hospital
  • Murata Masayuki
    Department of General Internal Medicine, Kyushu University Hospital
  • Hara Megumi
    Department of Preventive Medicine, Faculty of Medicine, Saga University
  • Nishida Yuichiro
    Department of Preventive Medicine, Faculty of Medicine, Saga University
  • Tamura Takashi
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Hishida Asahi
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Nagayoshi Mako
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Okada Rieko
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Matsuo Keitaro
    Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute
  • Ito Hidemi
    Division of Cancer Information and Control, Aichi Cancer Center Research Institute
  • Mikami Haruo
    Cancer Prevention Center, Chiba Cancer Center Research Institute
  • Nakamura Yohko
    Cancer Prevention Center, Chiba Cancer Center Research Institute
  • Otani Takahiro
    Department of Public Health, Nagoya City University Graduate School of Medical Sciences
  • Suzuki Sadao
    Department of Public Health, Nagoya City University Graduate School of Medical Sciences
  • Koyama Teruhide
    Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
  • Ozaki Etsuko
    Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
  • Kuriki Kiyonori
    Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka
  • Takashima Naoyuki
    Department of Public Health, Kindai University Faculty of Medicine Department of Public Health, Shiga University of Medical Science
  • Miyagawa Naoko
    Department of Public Health, Shiga University of Medical Science Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Arisawa Kokichi
    Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences
  • Katsuura-Kamano Sakurako
    Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences
  • Momozawa Yukihide
    Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN
  • Kubo Michiaki
    Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN
  • Takeuchi Kenji
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Wakai Kenji
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine

書誌事項

公開日
2023-04-05
資源種別
journal article
DOI
  • 10.2188/jea.je20210142
公開者
日本疫学会

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説明

<p>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.</p><p>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).</p><p>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.</p><p>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.</p>

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