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Figure 4 | BMC Genomics

Figure 4

From: Prospects and limits of marker imputation in quantitative genetic studies in European elite wheat (Triticum aestivum L.)

Figure 4

Imputing from low to high marker density increases the power of association mapping. Detection frequency of a major QTL explaining 10% of the genotypic variance in the total population based on the 90 k SNP data set (Total-90 k) and the SNP present in the 9 k data set most closely linked to the SNP in the 90 k data set (Total-9 k). Detection frequency of a major QTL in the reference population with sizes from 50 to 300 individuals fingerprinted with the 90 k SNP array (Reference-90 k). Detection frequency of major QTL with varying degrees of linkage disequilibrium (r2) between the QTL and closest linked 9 k SNP marker estimated in the total panel for which depleted 90 k SNP array data have been imputed for the test population with map- dependent (Beagle, FImpute, and IMPUTE2) and map-independent (Random Forest) algorithms for the reference population sizes of 50, 100, 200, and 300 out of 371 lines.

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