PMC:5118429 / 3164-4057 JSONTXT

{"project":"2_test","denotations":[{"id":"27920797-23115522-33226415","span":{"begin":279,"end":283},"obj":"23115522"},{"id":"27920797-26194229-33226416","span":{"begin":551,"end":555},"obj":"26194229"},{"id":"27920797-26499328-33226417","span":{"begin":739,"end":743},"obj":"26499328"},{"id":"27920797-25757012-33226418","span":{"begin":763,"end":767},"obj":"25757012"},{"id":"27920797-26360524-33226419","span":{"begin":808,"end":812},"obj":"26360524"},{"id":"27920797-25888203-33226422","span":{"begin":887,"end":891},"obj":"25888203"}],"text":"To overcome these phenotyping constraints and to increase the accuracy of selection, the use of high-density single nucleotide polymorphism (SNP) genotyping platforms and novel statistical models can identify SNPs associated with the trait for use in genomic selection (Dekkers, 2012). Several genome-wide association studies (GWAS) that match genetic variants, with or without pedigree records, with the observed phenotype have identified significant loci associated with economically important traits in livestock (Kadarmideen, 2014; Sharma et al., 2015). The aquaculture research community is following this trend, and interesting examples are available for growth and disease resistance traits in Atlantic Salmon (e.g., Correa et al., 2015; Gutierrez et al., 2015), rainbow trout (e.g., Kocmarek et al., 2015; Liu et al., 2015b; Palti et al., 2015b), and catfish (e.g., Geng et al., 2015)."}

{"project":"MyTest","denotations":[{"id":"27920797-23115522-33226415","span":{"begin":279,"end":283},"obj":"23115522"},{"id":"27920797-26194229-33226416","span":{"begin":551,"end":555},"obj":"26194229"},{"id":"27920797-26499328-33226417","span":{"begin":739,"end":743},"obj":"26499328"},{"id":"27920797-25757012-33226418","span":{"begin":763,"end":767},"obj":"25757012"},{"id":"27920797-26360524-33226419","span":{"begin":808,"end":812},"obj":"26360524"},{"id":"27920797-25888203-33226422","span":{"begin":887,"end":891},"obj":"25888203"}],"namespaces":[{"prefix":"_base","uri":"https://www.uniprot.org/uniprot/testbase"},{"prefix":"UniProtKB","uri":"https://www.uniprot.org/uniprot/"},{"prefix":"uniprot","uri":"https://www.uniprot.org/uniprotkb/"}],"text":"To overcome these phenotyping constraints and to increase the accuracy of selection, the use of high-density single nucleotide polymorphism (SNP) genotyping platforms and novel statistical models can identify SNPs associated with the trait for use in genomic selection (Dekkers, 2012). Several genome-wide association studies (GWAS) that match genetic variants, with or without pedigree records, with the observed phenotype have identified significant loci associated with economically important traits in livestock (Kadarmideen, 2014; Sharma et al., 2015). The aquaculture research community is following this trend, and interesting examples are available for growth and disease resistance traits in Atlantic Salmon (e.g., Correa et al., 2015; Gutierrez et al., 2015), rainbow trout (e.g., Kocmarek et al., 2015; Liu et al., 2015b; Palti et al., 2015b), and catfish (e.g., Geng et al., 2015)."}