000			03298nab a22004097a 4500
001			G90330
003			MX-TxCIM
005			20230828203424.0
008			210804s2008 gw |||p|op||| 00| 0 eng d
022			_a1432-2242 (Online)
022			_a0040-5752
024	8		_ahttps://doi.org/10.1007/s00122-007-0663-5
040			_aMX-TxCIM
041			_aeng
090			_aCIS-5178
100	1		_9764 _aHuihui Li _gGenetic Resources Program _8CLIH01
245	1	0	_aInclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations
260			_aBerlin (Germany) : _bSpringer, _c2008.
340			_aComputer File|Printed
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752
520			_aIt has long been recognized that epistasis or interactions between non-allelic genes plays an important role in the genetic control and evolution of quantitative traits. However, the detection of epistasis and estimation of epistatic effects are difficult due to the complexity of epistatic patterns, insufficient sample size of mapping populations and lack of efficient statistical methods. Under the assumption of additivity of QTL effects on the phenotype of a trait in interest, the additive effect of a QTL can be completely absorbed by the flanking marker variables, and the epistatic effect between two QTL can be completely absorbed by the four marker-pair multiplication variables between the two pairs of flanking markers. Based on this property, we proposed an inclusive composite interval mapping (ICIM) by simultaneously considering marker variables and marker-pair multiplications in a linear model. Stepwise regression was applied to identify the most significant markers and marker-pair multiplications. Then a two-dimensional scanning (or interval mapping) was conducted to identify QTL with significant digenic epistasis using adjusted phenotypic values based on the best multiple regression model. The adjusted values retain the information of QTL on the two current mapping intervals but exclude the influence of QTL on other intervals and chromosomes. Epistatic QTL can be identified by ICIM, no matter whether the two interacting QTL have any additive effects. Simulated populations and one barley doubled haploids (DH) population were used to demonstrate the efficiency of ICIM in mapping both additive QTL and digenic interactions.
536			_aGeneration Challenge Program|Genetic Resources Program
546			_aText in English
591			_aSpringer
594			_aINT1991|CLIH01|INT2542
650		7	_2AGROVOC _92084 _aChromosome mapping
650		7	_2AGROVOC _99058 _aGene Interaction
650		7	_2AGROVOC _91853 _aQuantitative Trait Loci
650		7	_2AGROVOC _98720 _aPopulation Structure
700	1		_aRibaut, J.M. _8INT1991 _9835 _gIntegrated Breeding Platform
700	0		_aZhonglai Li _920824
700	1		_9842 _aJiankang Wang _gGenetic Resources Program _8INT2542
773	0		_tTheoretical and Applied Genetics _n635087 _gv. 116, no. 2, p. 243-260 _dBerlin (Germany) : Springer, 2008. _wG444762 _x0040-5752
856	4		_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/392
942			_cJA _2ddc _n0
999			_c26970 _d26970