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Social and Behavioral Sciences Commons

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University of Massachusetts Amherst

Biostatistics and Epidemiology Faculty Publications Series

Meta-analysis

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Periodontitis And Gestational Diabetes Mellitus: A Systematic Review And Meta-Analysis Of Observational Studies, Samuel A. Abariga, Brian W. Whitcomb Jan 2016

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 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 Jan 2016

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 …