000			02614nab a22003737a 4500
001			G66653
003			MX-TxCIM
005			20230817193703.0
008			121211b |||p||p||||||| |z||| |
022			_a0016-6707
022			_a1573-6857 (Online)
024			_2https://doi.org/10.1023/A:1018394410659
040			_aMX-TxCIM
041			_aeng
090			_aCIS-2019
100	0		_aChangjian Jiang _924699
245	1	0	_aMapping quantitative trait loci with dominant and missing markers in various crosses from two inbred lines
260			_c1997. _aNetherlands : _bSpringer Netherlands,
340			_aPrinted
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0016-6707
520			_aDominant phenotype of a genetic marker provides incomplete information about the marker genotype of an individual. A consequence of using this incomplete information for mapping quantitative trait loci (QTL) is that the inference of the genotype of a putative QTL flanked by a marker with dominant phenotype will depend on the genotype or phenotype of the next marker. This dependence can be extended further until a marker genotype is fully observed. A general algorithm is derived to calculate the probability distribution of the genotype of a putative QTL at a given genomic position, conditional on all observed marker phenotypes in the region with dominant and missing marker information for an individual. The algorithm is implemented for various populations stemming from two inbred lines in the context of mapping QTL. Simulation results show that if only a proportion of markers contain missing or dominant phenotypes, QTL mapping can be almost as efficient as if there were no missing information in the data. The efficiency of the analysis, however, may decrease substantially when a very large proportion of markers contain missing or dominant phenotypes and a genetic map has to be reconstructed first on the same data as well. So it is important to combine dominant markers with codominant markers in a QTL mapping study.
546			_aText in English
591			_aR97-98ANALY?|9808|anterior|EE|ABC|FINAL9798|3
595			_aCSC
650	1	7	_aGenetic maps _2AGROVOC _94190
650	1	7	_91172 _aLoci _2AGROVOC
650	1	7	_aStatistical methods _92624 _2AGROVOC
650	1	7	_aCrossbreeding _96302 _2AGROVOC
650	1	7	_aInbred lines _91155 _2AGROVOC
653	0		_aQTL
700	0		_aZhao-Bang Zeng _931507
773	0		_tGenetica _gv. 101, p. 47-58 _dNetherlands : Springer Netherlands, 1997. _wG446712 _x0016-6707
942			_cJA _2ddc
999			_c19055 _d19055