Physical Sciences and Mathematics Commons^™

Periodontitis And Gestational Diabetes Mellitus: A Systematic Review And Meta-Analysis Of Observational Studies, Samuel A. Abariga, Brian W. Whitcomb

Biostatistics and Epidemiology Faculty Publications Series

Background: Gestational diabetes mellitus (GDM) is glucose intolerance with first onset during pregnancy and is associated with serious maternal and fetal complications. The etiology of GDM is not well understood, but systemic inflammation effects on insulin signaling and glucose metabolism is suspected. Periodontal disease is a chronic inflammatory condition that induces local and host immune responses and has been evaluated for a potential role in development of GDM. Results from studies evaluating the association between periodontitis and GDM are mixed. We performed a systematic review and meta-analysis to summarize available data regarding the association between periodontitis and GDM.

Methods: Twelve …

A Gender Perspective On Gambling Clusters In Sweden Using Longitudinal Data, Ulla Romild, Jessika Svensson, Rachel Volberg

Biostatistics and Epidemiology Faculty Publications Series

AIMS - This study describes five groups of gamblers and changes in their gambling involvement and gambling problems over four years with a particular focus on whether gambling problems among men and women develop differently within the five groups. DESIGN - The study sample is a subset of participants from the Swedish Longitudinal Gambling Study (Swelogs). Six different clusters of past-year gambling, based on frequency of participation in the nine most common forms of gambling in Sweden (lotteries, horses, number games, sports games, bingo, poker, slot machines, casino games or TV contests) were identified in Two-Way Cluster Analysis after the …

Maternal Arsenic Exposure And Gestational Diabetes And Glucose Intolerance In The New Hampshire Birth Cohort Study, Shohreh F. Farzan, Anala Gossai, Yu Chen, Lisa Chasan-Taber, Emily Baker, Margaret Karagas

Biostatistics and Epidemiology Faculty Publications Series

Background

Gestational diabetes mellitus (GDM) is a major pregnancy complication with detrimental effects for both mothers and their children. Accumulating evidence has suggested a potential role for arsenic (As) exposure in the development of GDM, but current studies have not assessed As exposure from water, urine or toenail samples.

Methods

We investigated the association between As exposure and risk of glucose intolerance and GDM among 1151 women enrolled in the New Hampshire Birth Cohort Study. Arsenic was measured in home well water and via biomarkers (i.e., maternal urine collected ~24–28 weeks gestation and toenail clippings collected 2 weeks postpartum).

Results …

Evaluating The Performance Of Infectious Disease Forecasts: A Comparison Of Climate-Driven And Seasonal Dengue Forecasts For Mexico, Michael A. Johansson, Nicholas G. Reich, Aditi Hota, John S. Brownstein, Mauricio Santillana

Biostatistics and Epidemiology Faculty Publications Series

Dengue viruses, which infect millions of people per year worldwide, cause large epidemics that strain healthcare systems. Despite diverse efforts to develop forecasting tools including autoregressive time series, climate-driven statistical, and mechanistic biological models, little work has been done to understand the contribution of different components to improved prediction. We developed a framework to assess and compare dengue forecasts produced from different types of models and evaluated the performance of seasonal autoregressive models with and without climate variables for forecasting dengue incidence in Mexico. Climate data did not significantly improve the predictive power of seasonal autoregressive models. Short-term and seasonal …

A Simple Test Of Class-Level Genetics Association Can Reveal Novel Cardiometabolic Trait Loci, Jing Qian, Sara Nunez, Eric Reed, Muredach P. Reilly, Andrea S. Foulkes

Biostatistics and Epidemiology Faculty Publications Series

Background

Characterizing the genetic determinants of complex diseases can be further augmented by incorporating knowledge of underlying structure or classifications of the genome, such as newly developed mappings of protein-coding genes, epigenetic marks, enhancer elements and non-coding RNAs.

Methods

We apply a simple class-level testing framework, termed Genetic Class Association Testing (GenCAT), to identify protein-coding gene association with 14 cardiometabolic (CMD) related traits across 6 publicly available genome wide association (GWA) meta-analysis data resources. GenCAT uses SNP-level meta-analysis test statistics across all SNPs within a class of elements, as well as the size of the class and its unique correlation …