表型正态分布不是该性状是否适合QTL作图的必要条件，但一般要求表型数据的随机误差服从正态分布。高密度分子标记为分离紧密连锁QTL提供了可能，但高密度标记必须辅以大作图群体，才能提高QTL作图的准确度。缺失标记对QTL作图的影响等同于一个缩小了的作图群体。奇异分离标记对作图的影响可以用与其连锁的QTL遗传方差的变化来衡量，有时奇异分离标记会增大QTL的方差进而提高检测功效，这种影响会随着连锁距离的增大而减弱。缺失标记和奇异分离对QTL位置和效应估计的影响不大，对于效应较大的QTL和较大的群体，缺失标记和奇异分离对QTL作图的影响可以忽略。
References
[1] Lynch M, Walsh B. Genetic and Analysis of Quantitative Traits. Sunderland, MA: Sinauer
Associates, 1998
[2] Doerge R W. Mapping and analysis of quantitative trait loci in experiment populations. Nat Rev
Genet, 2002, 3: 43-52
[3] Zhai H-Q (翟虎渠), Wang J-K (王建康). Applied Quantitative Genetics (应用数量遗传). Beijing:
China Agricultural Science and Technology Press, 2007 (in Chinese)
[4] Wang J-K (王建康). Inclusive composite interval mapping of quantitative trait genes. Acta Agron
Sin(作物学报), 2009, 35(2): 239-245 (in Chinese with English abstract)
[5] Lander E S, Botstein D. Mapping Mendelian factors underlying quantitative traits using RFLP linkage
maps. Genetics, 1989, 121: 185-199
[6] Zeng Z B. Precision mapping of quantitative trait loci. Genetics, 1994, 136: 1457-1468 [7] Li H, Ye G, Wang J. A modified algorithm for the improvement of composite interval mapping.
Genetics, 2007, 175: 361-374
[8] Li H, Ribaut J-M, Li Z, Wang J. Inclusive composite interval mapping (ICIM) for digenic epistasis of
quantitative traits in biparental populations. Theor Appl Genet, 2008, 116: 243-260
[9] Zhang L, Li H, Li Z, Wang J. Interactions between markers can be caused by the dominance effect of
QTL. Genetics, 2008, 180: 1177-1190
[10] Goffinet P, Loisel B, Lawrent B. Testing in normal mixture models when the proportions are known.
Biometrika, 1992, 79: 842-846
[11] Churchill G A, Doerge R W. Empirical threshold values for quantitative trait mapping. Genetics,
1994, 138: 963-971
[12] Chen L, Storey J D. Relaxed significance criteria for linkage analysis. Genetics, 2006, 173:
2371-2381
[13] Li H, Hearne S, B?nziger M, Li Z, Wang J. Statistical properties of QTL linkage mapping in
25
biparental genetic populations. Heredity, 2010 (in press)
[14] Wang J, Wan X, Crossa J, Crouch J, Weng J, Zhai H, Wan J. QTL mapping of grain length in rice
(Oryza sativa L.) using chromosome segment substitution lines. Genet Res, 2006, 88: 93-104 [15] Wang J, Wan X, Li H, Pfeiffer W, Crouch J, Wan J. Application of identified QTL-marker
associations in rice quality improvement through a design breeding approach. Theor Appl Genet, 2007, 115: 87-100
[16] Tinker N A, Mather D E, Rossnagel B G, Kasha K J, Kleinhofs A, Hayes P M, Falk D E, Ferguson
T, Shugar L P, Legge W G, Irvine R B, Choo T M, Briggs K G, Ullrich S E, Franckowiak J D, Blake T K, Graf R J, Dofing S M, Saghai-Maroof M A, Scoles G J, Hoffman D, Dahleen L S, Kilian A, Chen F, Biyashev R M, Kudrna D A, Steffenson B J. Regions of the genome that affect agronomic performance in two-row barley. Crop Sci, 1996, 36: 1053-1062
[17] Zhang L P, Lin G Y, Ni?o-Liu D, Foolad M R. Mapping QTLs conferring early blight (Alternaria
solani) resistance in a Lycopersicon esculentum × L. hirsutum cross by selective genotyping. Mol Breed, 2003, 12: 3-19
[18] Wingbermuehle W J, Gustus C, Smith K P. Exploiting selective genotyping to study genetic
diversity of resistance to Fusarium head blight in barley. Theor Appl Genet, 2004, 109: 1160-1168 [19] Docherty S J, Butcher L M, Schalkwyk L C, Plomin R. Applicability of DNA pools on 500 K SNP
microarrays for cost-effective initial screens in genome wide association studies. BMC Genomics, 2007, 8: 214-221
[20] Sun Y, Wang J, Crouch J H, Xu Y. Efficiency of selective genotyping for genetic analysis and crop
improvement of complex traits. Mol Breed, 2010 (in press)
[21] Wang Y, Li H, Zhang L, Lü W, Wang J. On the use of composite traits in quantitative trait locus
mapping. Genetics, 2010 (under review)
[22] Zhang L, Wang S, Li H, Deng Q, Zheng A, Li S, Li P, Li Z, Wang J. Effects of missing markers and
segregation distortion on QTL mapping in F2 populations. Theor Appl Genet, 2010 (under review)
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