Ghazalpour Anatole, Doss Sudheer, Sheth Sonal S, Ingram-Drake Leslie A, Schadt Eric E, Lusis Aldons J, Drake Thomas A
Department of Human Genetics, Molecular Biology Institute, University of California, Los Angeles, CA 90095-1679, USA.
Genome Biol. 2005;6(7):R59. doi: 10.1186/gb-2005-6-7-r59. Epub 2005 Jul 1.
A segregating population of (C57BL/6J x DBA/2J)F2 intercross mice was studied for obesity-related traits and for global gene expression in liver. Quantitative trait locus analyses were applied to the subcutaneous fat-mass trait and all gene-expression data. These data were then used to identify gene sets that are differentially perturbed in lean and obese mice.
We integrated global gene-expression data with phenotypic and genetic segregation analyses to evaluate metabolic pathways associated with obesity. Using two approaches we identified 13 metabolic pathways whose genes are coordinately regulated in association with obesity. Four genomic regions on chromosomes 3, 6, 16, and 19 were found to control the coordinated expression of these pathways. Using criteria that included trait correlation, differential gene expression, and linkage to genomic regions, we identified novel genes potentially associated with the identified pathways.
This study demonstrates that genetic and gene-expression data can be integrated to identify pathways associated with clinical traits and their underlying genetic determinants.
对(C57BL/6J×DBA/2J)F2杂交小鼠的一个分离群体进行了肥胖相关性状及肝脏全基因组基因表达的研究。数量性状基因座分析应用于皮下脂肪量性状和所有基因表达数据。然后利用这些数据来识别在瘦小鼠和肥胖小鼠中受到不同程度扰动的基因集。
我们将全基因组基因表达数据与表型和遗传分离分析相结合,以评估与肥胖相关的代谢途径。通过两种方法,我们鉴定出13条代谢途径,其基因在肥胖过程中受到协同调控。发现染色体3、6、16和19上的四个基因组区域控制这些途径的协同表达。利用包括性状相关性、差异基因表达以及与基因组区域的连锁等标准,我们鉴定出了可能与所确定途径相关的新基因。
本研究表明,遗传和基因表达数据可以整合起来,以识别与临床性状及其潜在遗传决定因素相关的途径。