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Published in 2019 at "Nature Communications"
DOI: 10.1038/s41467-018-08219-1
Abstract: Large studies use genotype data to discover genetic contributions to complex traits and infer relationships between those traits. Co-incident geographical variation in genotypes and health traits can bias these analyses. Here we show that single…
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Keywords:
genotype data;
epidemiological analysis;
within biobank;
structure ... See more keywords
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Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1589-9
Abstract: BackgroundThe current gold standard in dimension reduction methods for high-throughput genotype data is the Principle Component Analysis (PCA). The presence of PCA is so dominant, that other methods usually cannot be found in the analyst’s…
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Keywords:
coordinate selection;
genotype data;
genotype;
pca ... See more keywords
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Published in 2017 at "Journal of animal science"
DOI: 10.2527/jas.2016.1279
Abstract: Evidence exists from a range of species on the impact of karyotype abnormalities on reproductive performance. Despite this, cytogenetic analyses of cattle, especially females, are not routinely undertaken. Genome-wide single nucleotide polymorphism (SNP) genotype data…
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Keywords:
genotype data;
routinely available;
heifer detected;
single nucleotide ... See more keywords
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Published in 2022 at "Genes"
DOI: 10.3390/genes13112100
Abstract: The high dimensionality of genotype data available for genomic evaluations has presented a motivation for developing strategies to identify subsets of markers capable of increasing the accuracy of predictions compared to the current commercial single…
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Keywords:
genotype data;
preselection;
high density;
genomic predictions ... See more keywords