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Genome-Wide Systems Genetics Of Alcohol Consumption And Dependence, Kristin Mignogna Jan 2019

Genome-Wide Systems Genetics Of Alcohol Consumption And Dependence, Kristin Mignogna

Theses and Dissertations

Widely effective treatment for alcohol use disorder is not yet available, because the exact biological mechanisms that underlie this disorder are not completely understood. One way to gain a better understanding of these mechanisms is to examine the genetic frameworks that contribute to the risk for developing this disorder. This dissertation examines genetic association data in combination with gene expression networks in the brain to identify functional groups of genes associated with alcohol consumption and dependence.

The first study took advantage of the behavioral complexity of human samples, and experimental capabilities provided by mouse models, by co-analyzing gene expression networks …


Alcohol Consumption And Breast Tumor Gene Expression, Jun Wang, Yujing J. Heng, A. Heather Eliassen, Rull M. Tamimi, Aditi Hazra, Vincent J. Carey, Christine B. Ambrosone, Victor P. De Andrade, Adam Brufsky, Fergus J. Couch, Tari A. King, Francesmary Modugno, Celine M. Vachon, David J. Hunter, Andrew H. Beck, Susan E. Hankinson Jan 2017

Alcohol Consumption And Breast Tumor Gene Expression, Jun Wang, Yujing J. Heng, A. Heather Eliassen, Rull M. Tamimi, Aditi Hazra, Vincent J. Carey, Christine B. Ambrosone, Victor P. De Andrade, Adam Brufsky, Fergus J. Couch, Tari A. King, Francesmary Modugno, Celine M. Vachon, David J. Hunter, Andrew H. Beck, Susan E. Hankinson

Biostatistics and Epidemiology Faculty Publications Series

Background

Alcohol consumption is an established risk factor for breast cancer and the association generally appears stronger among estrogen receptor (ER)-positive tumors. However, the biological mechanisms underlying this association are not completely understood.

Methods

We analyzed messenger RNA (mRNA) microarray data from both invasive breast tumors (N = 602) and tumor-adjacent normal tissues (N = 508) from participants diagnosed with breast cancer in the Nurses’ Health Study (NHS) and NHSII. Multivariable linear regression, controlling for other known breast cancer risk factors, was used to identify differentially expressed genes by pre-diagnostic alcohol intake. For pathway analysis, we performed gene …