Mapping of Imprinted Quantitative Trait Loci Using Immortalized F2 Populations

被引:1
|
作者
Wen, Yongxian [1 ,2 ]
Wu, Weiren [1 ]
机构
[1] Fujian Agr & Forestry Univ, Key Lab Educ, Minist Genet Breeding & Multiple Utilizat Crops, Fuzhou, Fujian, Peoples R China
[2] Fujian Agr & Forestry Univ, Sch Comp & Informat Sci, Fuzhou, Fujian, Peoples R China
来源
PLOS ONE | 2014年 / 9卷 / 03期
基金
中国国家自然科学基金;
关键词
BODY-COMPOSITION; MATERNAL CONTROL; GENE; CROSSES; PIGS; QTL; ARABIDOPSIS; PHENOTYPE; ENDOSPERM; GROWTH;
D O I
10.1371/journal.pone.0092989
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Mapping of imprinted quantitative trait loci (iQTLs) is helpful for understanding the effects of genomic imprinting on complex traits in animals and plants. At present, the experimental designs and corresponding statistical methods having been proposed for iQTL mapping are all based on temporary populations including F-2 and BC1, which can be used only once and suffer some other shortcomings respectively. In this paper, we propose a framework for iQTL mapping, including methods of interval mapping (IM) and composite interval mapping (CIM) based on conventional low-density genetic maps and point mapping (PM) and composite point mapping (CPM) based on ultrahigh-density genetic maps, using an immortalized F-2 (imF(2)) population generated by random crosses between recombinant inbred lines or doubled haploid lines. We demonstrate by simulations that imF(2) populations are very desirable and the proposed statistical methods (especially CIM and CPM) are very powerful for iQTL mapping, with which the imprinting effects as well as the additive and dominance effects of iQTLs can be unbiasedly estimated.
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页数:7
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