Bennett Beth, Carosone-Link Phyllis J, Lu Lu, Chesler Elissa J, Johnson Thomas E
Institute for Behavioral Genetics, 447, University of Colorado at Boulder, Boulder, Colorado 80309-0447, USA.
Mamm Genome. 2005 Oct;16(10):764-74. doi: 10.1007/s00335-005-0002-6. Epub 2005 Oct 29.
This is the first phenotypic analysis of 75 new recombinant inbred (RI) strains derived from ILS and ISS progenitors. We analyzed body weight in two independent cohorts of female mice at various ages and in males at 60 days. Body weight is a complex trait which has been mapped in numerous crosses in rodents. The LXS RI strains displayed a large range of weights, transgressing those of the inbred progenitors, supporting the utility of this large panel for mapping traits not selected in the progenitors. Numerous QTLs for body weight mapped in single- and multilocus scans. We assessed replication between these and previously reported QTLs based on overlapping confidence intervals of published QTLs for body weight at 60 days and used meta-analyses to determine combined p values for three QTL regions located on Chromosomes 4, 5, and 11. Strain distribution patterns of microsatellite marker genotypes, weight, and other phenotypes are available on WebQTL (http://www.webqtl.org/search.html ) and allow genetic mapping of any heritable quantitative phenotype measured in these strains. We report one such analysis, correlating brain and body weights. Large reference panels of RI strains, such as the LXS, are invaluable for identifying genetic correlations, GXE (Gene X Environment) interactions, and replicating previously identified QTLs.
这是对源自ILS和ISS祖系的75个新的重组近交(RI)品系进行的首次表型分析。我们在两个独立的雌性小鼠队列中分析了不同年龄阶段的体重,并在雄性小鼠60日龄时进行了体重分析。体重是一个复杂性状,已在啮齿动物的众多杂交实验中进行了定位。LXS RI品系表现出广泛的体重范围,超过了近交祖系的体重范围,这支持了这个大型品系组在定位祖系中未选择的性状方面的实用性。在单基因座和多基因座扫描中定位了许多与体重相关的数量性状基因座(QTL)。我们根据已发表的60日龄体重QTL的重叠置信区间,评估了这些QTL与先前报道的QTL之间的重复性,并使用荟萃分析来确定位于4号、5号和11号染色体上的三个QTL区域的合并p值。微卫星标记基因型、体重和其他表型的品系分布模式可在WebQTL(http://www.webqtl.org/search.html )上获取,并允许对这些品系中测量的任何可遗传的定量表型进行遗传定位。我们报告了一项这样的分析,即脑重与体重的相关性分析。像LXS这样的大型RI品系参考组对于识别遗传相关性、基因×环境(GXE)相互作用以及重复先前鉴定的QTL非常有价值。