Department of Human Genetics, University of Chicago, 920 E 58th St., CLSC-507D, Chicago, IL 60637, USA.
Mamm Genome. 2011 Oct;22(9-10):563-71. doi: 10.1007/s00335-011-9349-z. Epub 2011 Jul 15.
The present study measured variation in body weight using a combined analysis in an F(2) intercross and an F(34) advanced intercross line (AIL). Both crosses were derived from inbred LG/J and SM/J mice, which were selected for large and small body size prior to inbreeding. Body weight was measured at 62 (± 5) days of age. Using an integrated GWAS and forward model selection approach, we identified 11 significant QTLs that affected body weight on ten different chromosomes. With these results we developed a full model that explained over 18% of the phenotypic variance. The median 1.5-LOD support interval was 5.55 Mb, which is a significant improvement over most prior body weight QTLs. We identified nonsynonymous coding SNPs between LG/J and SM/J mice in order to further narrow the list of candidate genes. Three of the genes with nonsynonymous coding SNPs (Rad23b, Stk33, and Anks1b) have been associated with adiposity, waist circumference, and body mass index in human GWAS, thus providing evidence that these genes may underlie our QTLs. Our results demonstrate that a relatively small number of loci contribute significantly to the phenotypic variance in body weight, which is in marked contrast to the situation in humans. This difference is likely to be the result of strong selective pressure and the simplified genetic architecture, both of which are important advantages of our system.
本研究使用 F(2) 杂交和 F(34) 高级杂交系 (AIL) 的联合分析来测量体重变化。这两个杂交系均源自近交系 LG/J 和 SM/J 小鼠,在近交之前,这些小鼠被选择用于体型大小的选育。体重在 62(±5)日龄时进行测量。我们使用整合的 GWAS 和正向模型选择方法,鉴定了 11 个显著影响体重的 QTL,这些 QTL 位于十个不同的染色体上。通过这些结果,我们开发了一个全模型,该模型解释了超过 18%的表型方差。中位数 1.5-LOD 支持间隔为 5.55Mb,这比大多数先前的体重 QTL 有显著的改进。我们在 LG/J 和 SM/J 小鼠之间鉴定了非同义编码 SNP,以进一步缩小候选基因的列表。具有非同义编码 SNP 的三个基因(Rad23b、Stk33 和 Anks1b)已在人类 GWAS 中与肥胖、腰围和体重指数相关,因此提供了这些基因可能是我们 QTL 的基础的证据。我们的研究结果表明,相对较少的基因座对体重的表型方差有显著贡献,这与人类的情况形成鲜明对比。这种差异可能是由于强烈的选择压力和简化的遗传结构造成的,这两者都是我们系统的重要优势。