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Locally developed integrated view maps of diseases are provided to summarize the interrelation of clinical and omics data and represent plausible disease pathways.
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This so-called indicator regression kriging approach resulted in continuous maps of disease incidence.
Tensor-based morphometry (TBM) creates three-dimensional maps of disease-related differences in brain structure, based on nonlinearly registering brain MRI scans to a common image template.
For example, researchers at Mt. Sinai used Big Data analytics of its patients' records to create a "Google Maps of disease" that elucidated, for instance, that there appear to be three distinct subtypes of type 2 diabetes.
Small-area maps of disease are much more difficult to produce and interpret in a meaningful way.
Each PET scan was Z-transformed by using automated voxel-based comparison resulting in statistical maps of disease-specific patterns of brain F-FDG uptake.
Data manipulation and statistical analyses were conducted in SPSS V.17 (SPSS Inc ., and choropleth maps of disease rates by health authority were created in ArcView GIS V.3.1 (ESRI).
The study uses routinely collected local individual patient data to generate high-quality small-area maps of disease risk across an entire district.
This study is the first in the UK (and possibly world wide) to use routinely collected, local individual patient data to generate high-quality small-area maps of disease risk across an entire district.
For example, prior to engaging into a genome-wide association study and testing vast numbers of SNPs independently for a correlation with disease susceptibility, geo-referenced population-wide SNP data could be superimposed to maps of disease rates to identify subsets of candidate disease-associated SNPs.
This is the same concept used in constructing linkage maps or genetic mapping of diseases.
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