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In livestock, many QTL regions have been identified for quantitative traits [ 1].
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Based on the normalized tissue-specific expression pattern in root tissues in the soybean Affymetrix gene chip dataset [ 34], key genes were identified for quantitative RT-PCR analysis.> -wrap-foot>> -wrap-foot>> -wrap-foot> aThe genes specific to G. soja with a deleterious mutation were obtained from Kim et al. [ 6, 8].
In addition, quantitative trait loci (QTL) have been identified for principal components defining skeletal variation and hip dysplasia [ 17, 24].
Quantitative trait loci (QTL) have been identified for age of puberty in the pig on different chromosomes [ 3, 4].
Quantitative trait loci (QTL) for drought tolerance have been identified for a variety of traits in different crops.
Some other studies on GWA analysis in barley also showed that MTAs contributing large phenotypic variation are highly heritable, and MTAs of explained variation >10% seem hard to be identified for the complex quantitative traits like drought tolerance in association analysis [ 6, 48].
A genetic marker within the 16S rRNA gene of Faecalibacterium was identified for use in a quantitative PCR (qPCR) assay to detect swine faecal contamination in water.
Furthermore, ESTs provide raw material from which strain-specific polymorphisms can be identified for use in population and quantitative genetic analyses.
In the second stage, suitable quantitative measures are identified for these variables.
Studies (or groups of studies from a single laboratory on a given chemical) that provided quantitative data were identified for 18 chemicals [ Table 1; Supplementary Tables S2, S3 (http://ehp.niehs.nih.gov/docs/2005/7667/supp.pdf)].
In total, quantitative phosphorylation profiles were identified for 646 phosphosites on 649 phosphopeptides on 424 proteins across the seven time points (see the list of protein phosphorylation sites at http://www.biochemj.org/bj/454/bj4540501add.htm).htm
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