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Our thoughts on control sample augmentation were initially motivated by the emergence of multisample GWA study designs, such as that employed by the WTCCC, in which there are multiple disease samples drawn from the same, largely homogeneous population [ The Wellcome Trust Case Control Consortium, 2007].
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Although nearly complete sequencing of the methylome of human cells was an outstanding achievement, the whole-genome shotgun approach is too costly to be applied to analyze multiple disease related samples.
It has the advantage of sensitive and simultaneous multiple disease screening with minimal sample requirement.
If it were possible to correct for cross-experimental batch effects, however, a single set of patient control samples could be compared to sets of disease samples from multiple independent experiments, saving significant resources.
The difficulty with multiple disease classification is that large sample sizes are required.
For example, we tagged Alzheimer's disease samples to AD1 whereas multiple sclerosis samples to MS1.
Future studies across multiple disease models and imaging techniques involving larger sample sizes is warranted to evaluate the reproducibility and extensibility of these promising results.
We observe targeting of the native inducing autoantigens and a limited set of citrullinated epitopes in pre-disease and acute disease samples, and expansion of B cell responses to target multiple citrullinated epitopes in both chronic CIA and EAE.
Small sample size limited the ability to explore whether a woman's concern for a single (vs. multiple) disease predicted her presentation preferences.
A third grantee, Entopsis is developing a nano-engineered platform that makes it easier to diagnose multiple diseases from a single sample.
We used Pubmed to select a systematic sample of RCTs over a certain period of time that included patients with heart failure and multiple diseases.
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