Articles with "genotype data" as a keyword



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Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis

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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… read more here.

Keywords: genotype data; epidemiological analysis; within biobank; structure ... See more keywords

Subgroup detection in genotype data using invariant coordinate selection

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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… read more here.

Keywords: coordinate selection; genotype data; genotype; pca ... See more keywords
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Characterization of an X-chromosomal non-mosaic monosomy (59, X0) dairy heifer detected using routinely available single nucleotide polymorphism genotype data.

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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… read more here.

Keywords: genotype data; routinely available; heifer detected; single nucleotide ... See more keywords
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Fuzzy Logic as a Strategy for Combining Marker Statistics to Optimize Preselection of High-Density and Sequence Genotype Data

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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… read more here.

Keywords: genotype data; preselection; high density; genomic predictions ... See more keywords