WenS

flag

CriLOD

pheRaw

Likelihood

flagrqtl

yygg

chr_name

v.map

gen.raw

a.gen.orig

d.gen.orig

names.insert2

X.ad.tran.data

X.ad.t4

<p>An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F2</p>

Conduct multiple quantitative trait loci (QTL) mapping under the framework of random-QTL-effect mixed linear model. First, each position on the genome is detected in order to construct a negative logarithm P-value curve against genome position. Then, all the peaks on each effect (additive or dominant) curve are viewed as potential QTL, all the effects of the potential QTL are included in a multi-QTL model, their effects are estimated by empirical Bayes in doubled haploid or by adaptive lasso in F2, and true QTL are identified by likelihood radio test. Wang S-B, Wen Y-J, Ren W-L, Ni Y-L, Zhang J, Feng J-Y, Zhang Y-M (2016) <doi:10.1038/srep29951>.

WenS: The second step of Wen method

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