Accurate and adaptive imputation of summary statistics in mixed-ethnicity cohorts.

ABSTRACT:

Motivation

Methods based on summary statistics obtained from genome-wide association studies have gained considerable interest in genetics due to the computational cost and privacy advantages they present. Imputing missing summary statistics has therefore become a key procedure in many bioinformatics pipelines, but available solutions may rely on additional knowledge about the populations used in the original study and, as a result, may not always ensure feasibility or high accuracy of the imputation procedure.

Results

We present ARDISS, a method to impute missing summary statistics in mixed-ethnicity cohorts through Gaussian Process Regression and automatic relevance determination. ARDISS is trained on an external reference panel and does not require information about allel

SUBMITTER: Togninalli M 

PROVIDER: S-EPMC6129295 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature