To advance our understanding of bipolar disorder onset, it will be necessary to start from parents with well-characterized bipolar illness that can be organized into more homogeneous subtypes.
JIA can be subdivided into seven clinically more homogeneous subtypes, using the International League of Associations for Rheumatology (ILAR) classification system.
Detailed, standardized, surgical characterization of endometriosis is a vital starting point to allow more homogeneous subtypes to be defined in studies and for molecular profiling and biomarker results to be correlated with disease entities.
Longitudinal studies of children of well-characterized bipolar parents and their adult relatives will advance understanding of pathophysiological mechanisms, translating predisposition to illness onset and identifying more homogeneous bipolar subtypes.
Expectations are that, with the decreasing costs of genomic and proteomic applications, the investigation of large population-based data sets will provide the opportunity to identify more homogeneous disease subtypes and investigate biomarkers, so that biomarker studies may substantiate disease sub-groups.
These results were also true for the composite PCs, demonstrating that the clusters were more homogeneous than the ILAR subtypes on both individual and composite measures.
The value in these studies is to identify disease subtypes that represent more homogeneous collections of tumors and patients, so as the better to approach opportunities for individualized therapeutics.
This suggests that stratification by serological, rather than traditional clinical, subtype represents a more homogeneous form of IIM classification [ 13, 29].
These clusters described obviously recognizable patient groups seen in the clinic, resolved major differences between patient subpopulations better than the ILAR subtypes, and were measurably more homogeneous (see Supplementary Figures 4 and 5, available on the Arthritis & Rheumatology web site at http://onlinelibrary.wiley.com/doi/10.1002/art.38875/abstract).com/doi/10.1002/art.38875/abstract
The overlap between metabolic and genetic profiles in the RDRS was visible with respect to general subtypes, and fine differences within the more homogeneous populations Indica I, Indica II and Japonica (Additional File 1, Figure S4).
Specifically, we use CNAReporter routinely for the analysis of genomic alterations of brain tumor tissues, potentially allowing us to make objective tumor subtype diagnoses, stratify patients into biologically more homogeneous tumor subgroups for clinical trials and select patient-specific treatments based on objective genomic data.
