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Alcohol consumption and diabetes risk in a Chinese population: a Mendelian randomization analysis.

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Title: Alcohol consumption and diabetes risk in a Chinese population: a Mendelian randomization analysis.
Authors: Peng, Miaomiao (AUTHOR), Zhang, Jiaoyue (AUTHOR), Zeng, Tianshu (AUTHOR), Hu, Xiang (AUTHOR), Min, Jie (AUTHOR), Tian, Shenghua (AUTHOR), Wang, Ying (AUTHOR), Liu, Geng (AUTHOR), Wan, Limin (AUTHOR), Huang, Qiulan (AUTHOR), Hu, Shengqing (AUTHOR), Chen, Lulu (AUTHOR)
Source: Addiction. Mar2019, Vol. 114 Issue 3, p436-449. 14p. 4 Charts, 2 Graphs.
Subjects: Diabetes risk factors, Islands of Langerhans, Alcohol drinking, Alleles, Blood sugar, Causality (Physics), Confidence intervals, Fasting, Genetic polymorphisms, Homeostasis, Insulin resistance, Personality, Sex distribution, Disease incidence, Odds ratio, Genetics, Physiology
Geographic Terms: China
Abstract: Aim: To assess the causality between alcohol intake, diabetes risk and related traits. Design Mendelian randomization (MR) study. Subgroup analysis, standard instrumental variable analysis and local average treatment effect (LATE) methods were applied to assess linear and non‐linear causality. Setting: China. Participants: A total of 4536 participants, including 721 diabetes cases. Findings Carriage of an ALDH2 rs671 A allele reduced alcohol consumption by 44.63% [95% confidence interval (CI) = –49.44%, −39.37%]. In males, additional carriage of an A allele was significantly connected to decreased diabetes risk for the overall population [odds ratio (OR) = 0.716, 95% CI = 0.567–0.904, P = 0.005] or moderate drinkers (OR = 0.564, 95% CI = 0.355–0.894, P = 0.015). In instrumental variable (IV) analysis, increasing alcohol consumption by 1.7‐fold was associated with an incidence‐rate ratio of 1.32 (95% CI = 1.06–1.67, P = 0.014) for diabetes risk, and elevated alcohol intake was causally connected to natural log‐transformed fasting, 2‐hour post‐load plasma glucose (β = 0.036, 95% CI = 0.018–0.054; β = 0.072, 95% CI = 0.035–0.108) and insulin resistance [homeostatic model assessment for IR (HOMA‐IR] (β = 0.104, 95% CI = 0.039–0.169), but was not associated with beta‐cell function (HOMA‐beta). In addition, the LATE method did not identify significant U‐shaped causality between alcohol consumption and diabetes‐related traits. In females, the effects of alcohol intake on all the outcomes were non‐significant. Conclusion: Among men in China, higher alcohol intake appears to be causally associated with increased diabetes risk and worsened related traits, even for moderate drinkers. This study found no significant U‐shaped causality between alcohol consumption and diabetes‐related traits. [ABSTRACT FROM AUTHOR]
Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Alcohol consumption and diabetes risk in a Chinese population: a Mendelian randomization analysis.
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  Data: <searchLink fieldCode="AR" term="%22Peng%2C+Miaomiao%22">Peng, Miaomiao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jiaoyue%22">Zhang, Jiaoyue</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zeng%2C+Tianshu%22">Zeng, Tianshu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Xiang%22">Hu, Xiang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Min%2C+Jie%22">Min, Jie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tian%2C+Shenghua%22">Tian, Shenghua</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Ying%22">Wang, Ying</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Geng%22">Liu, Geng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wan%2C+Limin%22">Wan, Limin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Qiulan%22">Huang, Qiulan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Shengqing%22">Hu, Shengqing</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Lulu%22">Chen, Lulu</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Addiction%22">Addiction</searchLink>. Mar2019, Vol. 114 Issue 3, p436-449. 14p. 4 Charts, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Diabetes+risk+factors%22">Diabetes risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Islands+of+Langerhans%22">Islands of Langerhans</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohol+drinking%22">Alcohol drinking</searchLink><br /><searchLink fieldCode="DE" term="%22Alleles%22">Alleles</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+sugar%22">Blood sugar</searchLink><br /><searchLink fieldCode="DE" term="%22Causality+%28Physics%29%22">Causality (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Fasting%22">Fasting</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+polymorphisms%22">Genetic polymorphisms</searchLink><br /><searchLink fieldCode="DE" term="%22Homeostasis%22">Homeostasis</searchLink><br /><searchLink fieldCode="DE" term="%22Insulin+resistance%22">Insulin resistance</searchLink><br /><searchLink fieldCode="DE" term="%22Personality%22">Personality</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+incidence%22">Disease incidence</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Genetics%22">Genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Physiology%22">Physiology</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Aim: To assess the causality between alcohol intake, diabetes risk and related traits. Design Mendelian randomization (MR) study. Subgroup analysis, standard instrumental variable analysis and local average treatment effect (LATE) methods were applied to assess linear and non‐linear causality. Setting: China. Participants: A total of 4536 participants, including 721 diabetes cases. Findings Carriage of an ALDH2 rs671 A allele reduced alcohol consumption by 44.63% [95% confidence interval (CI) = –49.44%, −39.37%]. In males, additional carriage of an A allele was significantly connected to decreased diabetes risk for the overall population [odds ratio (OR) = 0.716, 95% CI = 0.567–0.904, P = 0.005] or moderate drinkers (OR = 0.564, 95% CI = 0.355–0.894, P = 0.015). In instrumental variable (IV) analysis, increasing alcohol consumption by 1.7‐fold was associated with an incidence‐rate ratio of 1.32 (95% CI = 1.06–1.67, P = 0.014) for diabetes risk, and elevated alcohol intake was causally connected to natural log‐transformed fasting, 2‐hour post‐load plasma glucose (β = 0.036, 95% CI = 0.018–0.054; β = 0.072, 95% CI = 0.035–0.108) and insulin resistance [homeostatic model assessment for IR (HOMA‐IR] (β = 0.104, 95% CI = 0.039–0.169), but was not associated with beta‐cell function (HOMA‐beta). In addition, the LATE method did not identify significant U‐shaped causality between alcohol consumption and diabetes‐related traits. In females, the effects of alcohol intake on all the outcomes were non‐significant. Conclusion: Among men in China, higher alcohol intake appears to be causally associated with increased diabetes risk and worsened related traits, even for moderate drinkers. This study found no significant U‐shaped causality between alcohol consumption and diabetes‐related traits. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/add.14475
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 436
    Subjects:
      – SubjectFull: Diabetes risk factors
        Type: general
      – SubjectFull: Islands of Langerhans
        Type: general
      – SubjectFull: Alcohol drinking
        Type: general
      – SubjectFull: Alleles
        Type: general
      – SubjectFull: Blood sugar
        Type: general
      – SubjectFull: Causality (Physics)
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Fasting
        Type: general
      – SubjectFull: Genetic polymorphisms
        Type: general
      – SubjectFull: Homeostasis
        Type: general
      – SubjectFull: Insulin resistance
        Type: general
      – SubjectFull: Personality
        Type: general
      – SubjectFull: Sex distribution
        Type: general
      – SubjectFull: Disease incidence
        Type: general
      – SubjectFull: Odds ratio
        Type: general
      – SubjectFull: Genetics
        Type: general
      – SubjectFull: Physiology
        Type: general
      – SubjectFull: China
        Type: general
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      – TitleFull: Alcohol consumption and diabetes risk in a Chinese population: a Mendelian randomization analysis.
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              Text: Mar2019
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