Nose Junichiro, Saito Akira, Kamatani Naoyuki
Division of Genomic Medicine, Department of Advanced Biomedical Engineering and Science and Institute of Rheumatology, Tokyo Women's Medical University, 10-22 Kawada-cho, Shinjuku-ku, Tokyo, 162-0054, Japan.
J Hum Genet. 2008;53(5):425-438. doi: 10.1007/s10038-008-0266-2. Epub 2008 Mar 4.
A scan of 4,190 single-nucleotide polymorphisms (SNPs) in 199 different genes using 38 different quantitative traits to search for associations between genotypes and phenotypes detected an association between the genotypes at rs671 of ALDH2 and gamma-glutamyltranspeptidase (gamma-GTP) levels. We examined the associations between five factors such as gender, age, rs671 genotype, alcohol-drinking habit, and serum gamma-GTP level and found that all pairs were associated except for the pair of rs671 genotype and gender and rs671 genotype and age. We further analyzed the data by both multiple regression and subgroup analyses and found that the associations between rs671 genotype and alcohol-drinking habit, alcohol-drinking habit and gamma-GTP level, gender and gamma-GTP, and age and gamma-GTP were independent of other factors. Conversely, the association between rs671 genotype and gamma-GTP level was dependent on alcohol-drinking habit. Associations between genetic and environmental factors will become a focus of medical and biological studies. Our study has shown that (1) a large sample size combined with a replication study is necessary to overcome the multiple-comparison problem, and (2) subgroup analysis along with logistic and linear multiple regression analysis may be useful to dissect a complicated relationship.
利用38种不同的数量性状对199个不同基因中的4190个单核苷酸多态性(SNP)进行扫描,以寻找基因型与表型之间的关联,结果发现乙醇脱氢酶2(ALDH2)基因rs671位点的基因型与γ-谷氨酰转肽酶(γ-GTP)水平之间存在关联。我们研究了性别、年龄、rs671基因型、饮酒习惯和血清γ-GTP水平这五个因素之间的关联,发现除rs671基因型与性别、rs671基因型与年龄这两对因素外,其他各对因素之间均有关联。我们通过多元回归分析和亚组分析进一步分析数据,发现rs671基因型与饮酒习惯、饮酒习惯与γ-GTP水平、性别与γ-GTP、年龄与γ-GTP之间的关联独立于其他因素。相反,rs671基因型与γ-GTP水平之间的关联依赖于饮酒习惯。遗传因素与环境因素之间的关联将成为医学和生物学研究的一个重点。我们的研究表明:(1)需要大样本量并结合重复研究来克服多重比较问题;(2)亚组分析以及逻辑回归和线性多元回归分析可能有助于剖析复杂的关系。