Uncovering exposures responsible for birth season - disease effects: a global study.

ABSTRACT: OBJECTIVE:Birth month and climate impact lifetime disease risk, while the underlying exposures remain largely elusive. We seek to uncover distal risk factors underlying these relationships by probing the relationship between global exposure variance and disease risk variance by birth season. MATERIAL AND METHODS:This study utilizes electronic health record data from 6 sites representing 10.5 million individuals in 3 countries (United States, South Korea, and Taiwan). We obtained birth month-disease risk curves from each site in a case-control manner. Next, we correlated each birth month-disease risk curve with each exposure. A meta-analysis was then performed of correlations across sites. This allowed us to identify the most significant birth month-exposure relationships supported by all 6

SUBMITTER: Boland MR 

PROVIDER: S-EPMC7282503 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature