%0 Journal Article %T Association of ALOX15 gene polymorphisms with obesity-related phenotypes in Chinese nuclear families with male offspring %A Ke Yao-hua %A Xiao Wen-jin %A He Jin-wei %A Zhang Hao %A Yu Jin-bo %A Hu Wei-wei %A Gu Jie-mei %A Gao Gao %A Yue Hua %A Wang Chun %A Hu Yun-qiu %A Li Miao %A Liu Yu-juan %A Fu Wen-zhen %A Zhang Zhen-lin %J Acta Pharmacologica Sinica %D 2016 %B 2016 %9 %! Association of ALOX15 gene polymorphisms with obesity-related phenotypes in Chinese nuclear families with male offspring %K %X Aim: Genetic variation in ALOX12, which encoded human 12-lipoxygenase, was found to be associated with fat mass in young Chinese men. The objective of this study was to investigate the relationship between single nucleotide polymorphisms (SNPs) and haplotypes in the ALOX15 gene and obesity-related phenotypes in Chinese nuclear families with male offspring. Methods: We recruited 1,296 subjects from 427 nuclear families with male offspring and genotyped five SNPs (rs9894225, rs748694, rs2619112, rs2619118, and rs916055) in the ALOX15 gene locus. The total fat mass (TFM), trunk fat mass (tFM), leg fat mass (LFM) and arm fat mass (AFM) were measured using dual-energy X-ray absorptiometry (DXA). The percentage of fat mass (PFM) was the ratio of TFM and body weight. The association between SNPs and haplotypes of ALOX15 and obesity-related phenotypic variation was measured using quantitative transmission disequilibrium test (QTDT). Results: Using QTDT to measure family-based genetic association, we found that rs916055 had a statistically significant association with PFM ( P =0.038), whereas rs916055 had a marginal but statistically insignificant association with tFM ( P =0.093). The multiple-parameter 1000 permutations test agreed with the family-based association results: both showed that rs916055 had a statistically significant association with PFM ( P =0.033). Conclusion: rs916055 in ALOX15 gene was significantly associated with the percentage of fat mass in Chinese nuclear families with male offspring in the family-based association study using QTDT approach. %U http://www.chinaphar.com/article/view/5959 %V 33 %N 2 %P 201-207 %@ 1745-7254