Mutual Information for Testing Gene-Environment Interaction

Despite current enthusiasm for investigation of gene-gene interactions and gene-environment interactions, the essential issue of how to define and detect gene-environment interactions remains unresolved. In this report, we define gene-environment interactions as a stochastic dependence in the context of the effects of the genetic and environmental risk factors on the cause of phenotypic variation among individuals. We use mutual information that is widely used in communication and complex system analysis to measure gene-environment interactions. We investigate how gene-environment interactions generate the large difference in the information measure of gene-environment interactions between the general population and a diseased population, which motives us to develop mutual information-based statistics for testing gene-environment interactions. We validated the null distribution and calculated the type 1 error rates for the mutual information-based statistics to test gene-environment interactions using extensive simulation studies. We found that the new test statistics were more powerful than the traditional logistic regression under several disease models. Finally, in order to further evaluate the performance of our new method, we applied the mutual information-based statistics to three real examples. Our results showed that P-values for the mutual information-based statistics were much smaller than that obtained by other approaches including logistic regression models.

Symmetric inverse consistent nonlinear registration driven by mutual information.

A nonlinear viscoelastic image registration algorithm based on the demons paradigm and incorporating inverse consistent constraint (ICC) is implemented. An inverse consistent and symmetric cost function using mutual information (MI) as a similarity measure is employed. The cost function also includes regularization of transformation and inverse consistent error (ICE). The uncertainties in balancing various terms in the cost function are avoided by alternatively minimizing the similarity measure, the regularization of the transformation, and the ICE terms. The diffeomorphism of registration for preventing folding and/or tearing in the deformation is achieved by the composition scheme. The quality of image registration is first demonstrated by constructing brain atlas from 20 adult brains (age range 30-60). It is shown that with this registration technique: (1) the Jacobian determinant is positive for all voxels and (2) the average ICE is around 0.004 voxels with a maximum value below 0.1 voxels. Further, the deformation-based segmentation on Internet Brain Segmentation Repository, a publicly available dataset, has yielded high Dice similarity index (DSI) of 94.7% for the cerebellum and 74.7% for the hippocampus, attesting to the quality of our registration method.

Role of organic cation transporters in the renal secretion of nucleoside analogs

The mammalian kidney maintains homeostasis of the extracellular environment and eliminates toxic substances from the body, in part via secretion by the organic cation transporters (OCT). Some nucleosides are also secreted by the kidney. Previous work indicated that the deoxyadenosine analog, 2′ -deoxytubercidin (dTub), is secreted by mouse kidney through the OCTs. This study examines the role of OCTs in the renal secretion of dTub and other nucleoside analogs. ^ Using the Xenopus laevis oocyte expression system, the basolateral type rat organic cation transporter rOCT1 was shown to transport dTub and other nucleosides. The positive charged form of dTub (dTub +) appears to be the substrate for rOCT1. Tetraethylammonium (TEA) and dTub competitively inhibit the other's uptake by rOCT1 in a manner consistent with their interaction at a common site. Although 67% homologous with rOCT1, rOCT2 does not mediate the uptake of these nucleosides. Kinetic studies demonstrated the difference in substrate specificity between rOCT1 and rOCT2 to be largely due to a poor affinity of rOCT2 for dTub+. This difference in affinity is located within transmembrane domains 2–7 as determined by chimeric constructs. ^ OCT1 knockout mice were used to evaluate the role of OCT1 in the renal secretion of dTub. No significant difference in tissue distribution and urinary excretion of dTub was observed between the knockout and wild-type mice, indicating that OCT1 is not necessary for the renal secretion of dTub. Apical transporters are postulated to participate in its active secretion. To characterize a possible apical transporter, we screened several renal cell lines for a nucleoside-sensitive OCT. American opossum kidney proximal tubule cells (OK) express a TEA efflux transporter that is inhibited by dTub and other nucleoside analogs. This carrier is metabolic-dependent and distinct from the cloned OCTs to date, i.e. it is sodium- and proton-independent. In conclusion, dTub is a good substrate for OCT1; however, this OCT is not necessary for its renal secretion in mice. The novel TEA efflux transporter identified in OK cells is likely to participate in the renal secretion of dTub and perhaps other nucleoside analogs. ^