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Analysis of genetic marker data led us to reject models of homeologous chromosome pairing.
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Thus, including markers with larger amounts of missing data led to improved GS accuracies.
The present clinical and radiological findings in addition to some surrogate biological marker data may lead to an accurate diagnosis of IPPFE.
Microarray gene expression data led to successful identification of an EST-SSR marker (NAU3991) that displayed complete linkage to the Li 2 locus.
However, the combination of DNA markers and gene expression data leads to a better understanding of the mechanisms behind the translation from DNA marker via transcription toward complex disease, and therefore targets a greater number of potentially causal genes.
Whatever the set of populations and/or markers used, the combination of all different types of data leads to a clear pattern in geographical structure.
The data lead us to argue that steady-state omic profiles may well prove to be useful in personalized medicine as markers of individual health status.
The absence of such data leads us to examine the relationship of testosterone to other cardiovascular risk factors, such as adverse lipid parameters, blood pressure, endothelial dysfunction, coagulation factors, inflammatory markers and cytokines.
The observation that Dhh1 over-expression did not lead to the accumulation of P-bodies as judged by Edc3 (Figure 6A) and Dcp2 (P-body marker; data not shown) but instead led to the accumulation of stress granules was surprising, as previous work had argued that Dhh1 over-expression led to the accumulation of P-bodies based on the subcellular distribution of Dcp2 [26].
Replacing the original 90 k SNP marker data by imputed data starting from 9 k SNP marker profiles led to reduced QTL detection power for almost all tested reference population sizes and LD values.
Genomic relationships estimated from marker data provide more accurate estimates of genetic covariance between relatives, which in turn leads to more accurate predictions.
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