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Nextgeneration sequencing substantially increases mapping resolution and accelerates the identification of casual genes underlying major QTLs.

Both of these methods detect quantitative trait loci (QTL) by identifying marker trait associations, and the only fundamental difference between them is that between mapping populations, which directly determine mapping resolution and power.

Recently genome wide association analysis (GWAS) for complex traits using high density single nucleotide polymorphism markers (SNP) are becoming common, it provides high mapping resolution and high accuracy of the QTLs due to better structuring of the populations (Han and Huang, 2013; Wu et al. 2015; Yang et al. 2014).

However, once the marker density across the Vgt1 region is increased, JICIM increase the mapping resolution and give a much more accurate position and effect estimation of Vgt1.

These GWAS efforts, conducted with few markers, have limitations for mapping resolution and genome coverage.

Accounting for confounding factors using a probabilistic approach (VBQTL) increased the mapping resolution and the number of significant associations.

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Similar(41)

Current RH maps of SSC10 are built on the IMpRH7,000-rad IMpRH7,000-rad 22] where mapanelolution and marker density are unfortunately not optimal for either fine-mapping QTLs or genome sequence assembly.

The effects of the dominant sources of error such as bone symmetries, distance map resolution and image spacing, were investigated.

In every algorithm, the accuracy of the matching highly depends on map resolution and completeness: the higher the resolution, the more accurate matching.

The observed errors were small, generally being below 10, 6, and 20% for load estimation, map resolution, and clustering accuracy, respectively.

These microsatellites represent a major fraction of co-dominant polymorphic markers identified to date in catfish, and should be a valuable resource for genetic mapping to increase linkage map resolution, and for integration of genetic linkage and physical maps.

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