Integrating External Controls by Regression Calibration for Genome-Wide Association Study.

ABSTRACT: Genome-wide association studies (GWAS) have successfully revealed many disease-associated genetic variants. For a case-control study, the adequate power of an association test can be achieved with a large sample size, although genotyping large samples is expensive. A cost-effective strategy to boost power is to integrate external control samples with publicly available genotyped data. However, the naive integration of external controls may inflate the type I error rates if ignoring the systematic differences (batch effect) between studies, such as the differences in sequencing platforms, genotype-calling procedures, population stratification, and so forth. To account for the batch effect, we propose an approach by integrating External Controls into the Association Test by Regression Calibr

SUBMITTER: Zhu L 

PROVIDER: S-EPMC10815702 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature