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Role Of Neuropoietic Cytokines In Development And Progression Of Diabetic Polyneuropathy: From Glucose Metabolism To Neurodegeneration, Dusanka S. Skundric, Robert P. Lisak

Neurology Faculty Publications

Diabetic neuropathy develops as a result of hyperglycemia- induced local metabolic and microvascular changes in both type I and type II diabetes mellitus. Diabetic neuropathy shows slower impulse conduction, axonal degeneration, and impaired regeneration. Diabetic neuropathy affects peripheral, central, and visceral sensorimotor and motor nerves, causing improper locomotor and visceral organ dysfunctions. The pathogenesis of diabetic neuropathy is complex and involves multiple pathways. Lack of success in preventing neuropathy, even with successful treatment of hyperglycemia, suggests the presence of early mediators between hyperglycemia-induced metabolic and enzymatic changes and functional and structural properties of Schwann cells (SCs) and axons. It is …

Susceptibility Scoring In Family-Based Association Testing, Laila M. Poisson, Benjamin A. Rybicki, Steven W. Coon, Jill S. Barnholtz-Sloan, Gary A. Chase

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Family-based association testing is an important part of genetic epidemiology. Tests are available to include multiple siblings, unaffected offspring, and to adjust for environmental covariates. We explore a susceptibility residual method of adjustment for covariates.

Results

Through simulation, we show that environmental adjustments that down-weight persons who are "destined" to be affected decrease the power to detect genetic association. We used the residual adjusted method on the Framingham Heart Study offspring data, provided for Genetic Analysis Workshop 13, and got mixed results.

Conclusion

When the genetic effect and environmental effects are independent, a susceptibility residual method of adjustment …

Analysis Of Gene × Environment Interactions In Sibships Using Mixed Models, Jill S. Barnholtz-Sloan, Laila M. Poisson, Steven W. Coon, Gary A. Chase, Benjamin A. Rybicki

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Gene × environment models are widely used to assess genetic and environmental risks and their association with a phenotype of interest for many complex diseases. Mixed generalized linear models were used to assess gene × environment interactions with respect to systolic blood pressure on sibships adjusting for repeated measures and hierarchical nesting structures. A data set containing 410 sibships from the Framingham Heart Study offspring cohort (part of the Genetic Analysis Workshop 13 data) was used for all analyses. Three mixed gene × environment models, all adjusting for repeated measurement and varying levels of nesting, were compared for …