Index Catalog // ScholarsArchive@OSU

Creator:: Wilhelm-Benartzi, Charlotte S., Koestler, Devin C., Karagas, Margaret R., Flanagan, James M., Christensen, Brock C., Kelsey, Karl T., Marsit, Carmen J., Houseman, E. Andres, and Brown, Robert
Abstract:: The promise of epigenome-wide association studies (EWAS) and cancer specific somatic changes in improving our understanding of cancer coupled with the decreasing cost and increasing coverage of DNA methylation microarrays, has brought about a surge in the use of these technologies. Here, we aim to provide both a review of...
Resource Type:: Article
Full Text:: . Nucleic Acids Res, 30, e21. AKALIN, A., KORMAKSSON, M., LI, S., GARRETT-BAKELMAN, F. E., FIGUEROA, M. E

Creator:: Maccani, Jennifer Z. J., Koestler, Devin C., Lester, Barry, Houseman, E. Andres, and et al.
Abstract:: Background: Prenatal mercury (Hg) exposure is associated with adverse child neurobehavioral outcomes. Because Hg can interfere with placental functioning and cross the placenta to target the fetal brain, prenatal Hg exposure can inhibit fetal growth and development directly and indirectly. Objectives: We examined potential associations between prenatal Hg exposure assessed...
Full Text:: . Chen HY, Yeh JI, Hong CJ, Chen CH. 2005. Mutation analysis of ARVCF gene on chromosome 22q11 as a

Creator:: Koestler, Devin C., Avissar-Whiting, Michele, Houseman, E. Andres, Karagas, Margaret R., and Marsit, Carmen J.
Abstract:: Background: There is increasing epidemiologic evidence that arsenic exposure in utero, even at low levels found throughout much of the world, is associated with adverse reproductive outcomes and may contribute to long-term health effects. Animal models, in vitro studies, and human cancer data suggest that arsenic may induce epigenetic alterations,...
Resource Type:: Article
Full Text:: . Johnson WE, Li C, Rabinovic A. 2007. Adjusting batch effects in microarray expression data using

Creator:: Houseman, E. Andres, Kelsey, Karl T., Wiencke, John K., and Marsit, Carmen J.
Abstract:: BACKGROUND: The impact of cell-composition effects in analysis of DNA methylation data is now widely appreciated. With the availability of a reference data set consisting of DNA methylation measurements on isolated cell types, it is possible to impute cell proportions and adjust for them, but there is increasing interest in...

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