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chunyan159

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[求助] QTL mapping analysis

A high-density genetic map was created with 1,046 molecular markers that included 937 SFPs and 109 SSRs, with an average marker separation of less than 2 cM. The interval mapping (IM) method was conducted to predict QTLs, followed by composite interval mapping (CIM) using Qgene v4.3.6 ,with permutations of 1000 iterations to declare the QTL as significant. For CIM, stepwise cofactor selection was used with markers as cofactors and the maximum number of cofactors was selected automatically (F to add=0.01 and F to drop=0.01). The permutation LOD value at p ≤ 0.05 was used as the threshold to declare the significance of the QTLs. The interactions among QTLs were identified using QTLNetwork-v2.1 software, with a mixed linear model based on CIM with a 10 cM window size and 1 cM walking speed. Permutation tests with 1,000 runs were used to determine the threshold of the F-value for the significance of QTLs to control genome-wide type I errors. Digenic interactions were also analyzed using a mixed-model approach. Significance levels for the genome scans for candidate intervals, QTL detection, and effects were set at 0.05, 0.001, and 0.001, respectively. The epistatic interaction between QTLs was illustrated using the Circos software.

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chunyan159(RXMCDM代发): 金币+2, 多谢应助! 2015-09-02 23:35:47
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2楼2015-04-07 00:51:12
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3楼2015-04-07 00:54:55
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xiaozekk

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【答案】应助回帖

我们已经建好了一个1046个分子标记的高密度遗传图谱,有937个SFRs标记和109个SSRs标记组成,分子标记平均间隔2cM(cM是遗传距离单位centi-Morgan,不是厘米)。采用区间作图法检测QTL位点,后又采用Qgene v4.3.6软件进行复合区间作图,通过1000次迭代置换的QTL位点被认为是显著性位点。
4楼2015-04-09 20:46:08
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