QTL Analysis

a) Quantitative trait locus (QTL) mapping requires parental strains (red and blue plots) that differ genetically for the trait, such as lines created by divergent artificial selection.

b) The parental lines are crossed to create F1 individuals (not shown), which are then crossed among themselves to create an F2, or crossed to one of the parent lines to create backcross progeny. Both of these crosses produce individuals or strains that contain different fractions of the genome of each parental line. The phenotype for each of these recombinant individuals or lines is assessed, as is the genotype of markers that vary between the parental strains.

c) Statistical techniques such as composite interval mapping evaluate the probability that a marker or an interval between two markers is associated with a QTL affecting the trait, while simultaneously controlling for the effects of other markers on the trait. The results of such an analysis are presented as a plot of the test statistic against the chromosomal map position, in recombination units (cM). Positions of the markers are shown as triangles. The horizontal line marks the significance threshold. Likelihood ratios above this line are formally significant, with the best estimate of QTL positions given by the chromosomal position corresponding to the highest significant likelihood ratio. Thus, the figure shows five possible QTL, with the best-supported QTL around 10 and 60 cM.

https://www.nature.com/scitable/topicpage/quantitative-trait-locus-qtl-analysis-53904

researchers

1.pig

MIKAWA Satoshi (美川智博士)

https://researchmap.jp/read0080334/

2. phylogeny

高芳銮

https://user.qzone.qq.com/58001704/main

http://blog.sciencenet.cn/home.php?mod=space&uid=460481

plink

#snp2bedbimfam
plink –23file JPT-NA19001.snp JPT ID002 –out JPT-NA19001

#去除有问题的snp
plink –bfile JPT-NA19001 –exclude merge.missnp –make-bed –out new

#merge单个文件
plink –bfile source1 –bmerge source2_trial –make-bed –out merged_trial

#merge多个文件
plink –merge-list merge_list –make-bed –out merge