Can data science inform environmental justice and community risk screening for type 2 diabetes?

ABSTRACT:

Background

Having the ability to scan the entire country for potential "hotspots" with increased risk of developing chronic diseases due to various environmental, demographic, and genetic susceptibility factors may inform risk management decisions and enable better environmental public health policies.

Objectives

Develop an approach for community-level risk screening focused on identifying potential genetic susceptibility hotpots.

Methods

Our approach combines analyses of phenotype-genotype data, genetic prevalence of single nucleotide polymorphisms, and census/geographic information to estimate census tract-level population attributable risks among various ethnicities and total population for the state of California.

Results

We estimate that the rs13266634 sin

SUBMITTER: Davis JA 

PROVIDER: S-EPMC4396977 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature