mapf2

f2marker

f2chr

f2pos

Conduct multi-Quantitative trait locus (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>.

Yuanming Zhang

QTL.gCIMapping

QTL Genome-Wide Composite Interval Mapping

mapf2 function

map example data — mapf2

map example data

mapf2: map example data

Description

Usage

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Details