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浙江大学学报（农业与生命科学版）
Journal of Zhejiang University (Agriculture and Life Sciences)  2014, Vol. 40 Issue (4): 421-430    DOI: 10.3785/j.issn.1008-9209.2014.05.021
Article     
Impact of cigarette smoking and gender on genetic architecture of body mass index
Zhang Bin1， Zhu Jun1，2，3*
(1. Research Center for Air Pollution and Health, Zhejiang University, Hangzhou 310058, China; 2. Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China; 3. Department of Mathematics, Zhejiang University, Hangzhou 310058, China)
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Abstract  Obesity has been reported as an increasingly prevalent and highly heritable health problem， resulting in increased risk for several common diseases. Despite the consensus view， that epistasis and gene-environment interactions have a prominent role in its pathogenesis， they are largely ignored in the current genome-wide association study （GWAS）. A new approach based on a linear mixed model was conducted for GWAS to detect plausible genes and potential interactions among genes， impacts of smoking and gender on body mass index （BMI）. We conducted analysis based on database of genotype and phenotype （dbGaP） from chronic obstructive pulmonary disease （COPD） study， and identified 20 genes and two pairs of epistasis associated with BMI， some of which were smoking-influencing and gender-specific. Bioinformatics analysis revealed a complex gene network among the identified genes connected with BMI and other related diseases. These findings highlight that personalized measures including lifestyle modifications such as smoking is essential for prevention and treatment of obesity.

Published: 20 July 2014
CLC:  Q 811.4  
  R 394.1  
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Cite this article:

Zhang Bin， Zhu Jun. Impact of cigarette smoking and gender on genetic architecture of body mass index. Journal of Zhejiang University (Agriculture and Life Sciences), 2014, 40(4): 421-430.

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http://www.zjujournals.com/agr/10.3785/j.issn.1008-9209.2014.05.021     OR     http://www.zjujournals.com/agr/Y2014/V40/I4/421


吸烟和性别对身体质量指数遗传结构的影响(英文)

采用基于混合线性模型的关联分析方法，检测了身体质量指数（BMI）的相关基因及其相互作用，分析了吸烟和性别对身体质量指数的影响。研究的基因型和表型数据取自慢性阻塞性肺病研究数据库。结果检测到与身体质量指数有关的20个基因以及2对上位性基因，并发现了受吸烟影响及与性别有关的特定基因及其作用方式。检测到与吸烟无关的9个基因，对BMI有较大影响（遗传率为31.23%），并且影响肥胖、糖尿病等7种疾病。吸烟导致的5个基因都能增加BMI，但并不导致肥胖、糖尿病等疾病。生物信息学分析揭示了与身体质量指数相关的基因存在复杂的遗传网络。研究结果表明，吸烟等生活行为的个性化检测对肥胖等复杂疾病的预防及治疗至关重要。
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