Utilization of Positive and Negative Controls to Examine Comorbid Associations in Observational Database Studies.

ABSTRACT:

Background

Opportunities to leverage observational data for precision medicine research are hampered by underlying sources of bias and paucity of methods to handle resulting uncertainty. We outline an approach to account for bias in identifying comorbid associations between 2 rare genetic disorders and type 2 diabetes (T2D) by applying a positive and negative control disease paradigm.

Research design

Association between 10 common and 2 rare genetic disorders [Hereditary Fructose Intolerance (HFI) and α-1 antitrypsin deficiency] and T2D was compared with the association between T2D and 7 negative control diseases with no established relationship with T2D in 4 observational databases. Negative controls were used to estimate how much bias and variance existed in datasets when n

SUBMITTER: Desai JR 

PROVIDER: S-EPMC5318155 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature