Genetics and Genomics Commons^™

Genomic Epidemiology Of Clostridium Difficile Colonization And Transmission In An Intensive Care Unit Cohort, Brianne Ciferri

Dissertations and Theses

Abstract

Genomic epidemiology of Clostridium difficile colonization and transmission in an intensive care unit cohort

by Brianne Ciferri, MPH

Advisor: C. Mary Schooling, PhD

Introduction: Clostridiodes difficile (C. difficile) is a leading cause of healthcare associated infections (HAI) in the United States and responsible for an estimated incidence of 223,900 cases and 12,800 deaths per year^1,2. C. difficile can cause gastrointestinal illness with symptoms ranging from mild diarrheal illness to a life-threatening condition. C. difficile is an opportunistic pathogen in which spores can live in an undisturbed dormant state within the intestinal tract and become …

A Mendelian Randomization Study Of Coronary Artery Disease And Three Amino Acids: Alanine, Glycine, And Glutamine, Allan Uribe

Dissertations and Theses

Cardiovascular disease is the leading cause of death worldwide. Coronary Artery Disease (CAD) accounts for the majority of those deaths. Observational studies have identified risk factors that have been helpful in lowering the death rate, including hypertension, high cholesterol, diabetes, smoking, physical inactivity and poor diet. The effects of these risk factors on CAD remain unclear. To clarify the effect of three amino acids, alanine, glutamine, and glycine on CAD I applied a two sample Mendelian randomization analysis to extensively genotyped observational data. In a sample with up to 184,000 individuals and approximately 60,000 controls, SNPs that reached genome wide …

Data And Statistical Methods To Analyze The Human Microbiome, Levi Waldron

Publications and Research

The Waldron lab for computational biostatistics bridges the areas of cancer genomics and microbiome studies for public health, developing methods to exploit publicly available data resources and to integrate-omics studies.

Cellmapper: Rapid And Accurate Inference Of Gene Expression In Difficult-To-Isolate Cell Types, Bradlee D. Nelms, Levi Waldron, Luis A. Barrera, Andrew W. Weflen, Jeremy A. Goettel, Guoji Guo, Robert K. Montgomery, Marian R. Neutra, David T. Breault, Scott B. Snapper, Stuart H. Orkin, Martha L. Bulyk, Curtis Huttenhower, Wayne I. Lencer

Publications and Research

We present a sensitive approach to predict genes expressed selectively in specific cell types, by searching publicly available expression data for genes with a similar expression profile to known cell-specific markers. Our method, CellMapper, strongly outperforms previous computational algorithms to predict cell type-specific expression, especially for rare and difficult-to-isolate cell types. Furthermore, CellMapper makes accurate predictions for human brain cell types that have never been isolated, and can be rapidly applied to diverse cell types from many tissues. We demonstrate a clinically relevant application to prioritize candidate genes in disease susceptibility loci identified by GWAS.

The Murine Caecal Microrna Signature Depends On The Presence Of The Endogenous Microbiota, Natasha Singh, Elize A. Shirdel, Levi Waldron, Regan-Heng Zhang, Igor Jurisica, Elena M. Comelli

Publications and Research

The intestinal messenger RNA expression signature is affected by the presence and compo-sition of the endogenous microbiota, with effects on host physiology. The intestine is also characterized by a distinctive micronome. However, it is not known if microbes also impact intestinal gene expression epigenetically. We investigated if the murine caecal microRNA expression signature depends on the presence of the microbiota, and the potential implica-tions of this interaction on intestinal barrier function. Three hundred and thirty four mi-croRNAs were detectable in the caecum of germ-free and conventional male mice and 16 were differentially expressed, with samples from the two groups clustering …