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In conclusion, our data associate p53Arg with advanced lung cancer and support the observation, that the Arg allele is preferentially retained in Arg/Pro germline heterozygotes.
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Therefore allowance has to be made for the possibility of unknown confounders and interactions in our data associated with the sample strata.
Our results indicate that natural allelic variation in ESR1 might be associated with postmenopausal ductal breast cancer risk; common haplotypes, composed of weakly linked markers, were in our data associated with increased breast cancer risk.
However, our data associated to previous genomic studies are revealing that when we compare the genomic synteny among teleosts and other vertebrates in a macro scale level, large syntenic blocks can be clearly identified.
To account fully for both sources of dependence in our disaggregated data, associated regression results and statistical tests used standard errors calculated by clustering jointly on both experimental subject and persistent network cluster.
The selection of SNPs for the disease association analysis, as well as the gene expression studies, was performed based on our previous data associating these SNPs/haplotypes with different levels of BRCA2 expression.
The standard formulation for support vector machine (SVM) learns from a set of input data (in our case, data associated with the hospital visitors that are diabetic or hypertensive, as the case may be) and predicts, for each new point, which of the two possible classes it belongs to.
Our data were associated to corresponding changes in mRNA expression in a set of cancer-related genes.
For example, MMP1 is an invasion-promoting factor, and its up-regulation, as observed in our data, is associated with the invasiveness of the cancer [20].
However, the insulin sensitivity index we used correlates well with clamp-derived measures of insulin sensitivity [37], has been widely accepted in the literature (>1000 citations in last decade), and was in our data set associated with skeletal muscle insulin signalling.
Similarly, genes significant in functional annotation analysis of our data were associated with skeletal and muscular system development and function as well as tissue morphology biological process (Table 3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com