Alisa Manning

Early Career Tenure-track Researcher, Mass General Brigham

1 active project

manning-lab-diabetes-2022

Our main research aim is to understand the genetic basis of type 1 diabetes, gestational diabetes, type 2 diabetes, related metabolic traits, and their complications. We have previously identified dozens of loci associated with type 2 diabetes susceptibility and glycemic…

Scientific Questions Being Studied

Our main research aim is to understand the genetic basis of type 1 diabetes, gestational diabetes, type 2 diabetes, related metabolic traits, and their complications. We have previously identified dozens of loci associated with type 2 diabetes susceptibility and glycemic traits, providing insights into genetic architecture and novel biology. We aim to extend these studies using data from the All of Us Research Program. We also plan to use these data to evaluate novel methods for gene-environment interaction and other novel methods and approaches to analyze multiple phenotypes simultaneously.

Project Purpose(s)

  • Disease Focused Research (diabetes mellitus)

Scientific Approaches

We plan to use the entire All of Us cohort to understand the genetic basis of type 1 diabetes, gestational diabetes, type 2 diabetes, related metabolic traits, and complications of diabetes. We will use methods for (1) the discovery of genetic associations of diabetes and related outcomes [genome-wide association studies], (2) discovery of genetic modification effects related to environmental and exposure factors [genome-wide gene-environment interaction studies], and (3) genetic risk prediction of our outcomes of interest [polygenic risk prediction], and (4) variations and extension of the methods described in (1) - (3). We will use tools that are "standard analysis software" for genetic epidemiology (i.e. published in a peer reviewed journal) and/or code in the R programming language or the python programming language that will be released under an open source license for transparency and reproducibility.

Anticipated Findings

We anticipate that the findings of our study will expand our understanding of the genetic basis (or genetic architecture) of type 1 diabetes, gestational diabetes, type 2 diabetes, related metabolic traits, and complications of diabetes, particularly in the context of modifiable exposures such as physical activity, diet, smoking behavior, alcohol consumption and other risk factors for diabetes and cardio-metabolic disease (heart attack, stroke, etc.). We anticipate that we will build models of disease risk prediction that leverage common and rate genetic variation, exposures, and the diversity within the All of Us cohort.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Research Team

Owner:

  • Alisa Manning - Early Career Tenure-track Researcher, Mass General Brigham

Collaborators:

  • Casey Marchek - Project Personnel, Mass General Brigham
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