DOT: Gene-set analysis by combining decorrelated association statistics.

ABSTRACT: Historically, the majority of statistical association methods have been designed assuming availability of SNP-level information. However, modern genetic and sequencing data present new challenges to access and sharing of genotype-phenotype datasets, including cost of management, difficulties in consolidation of records across research groups, etc. These issues make methods based on SNP-level summary statistics particularly appealing. The most common form of combining statistics is a sum of SNP-level squared scores, possibly weighted, as in burden tests for rare variants. The overall significance of the resulting statistic is evaluated using its distribution under the null hypothesis. Here, we demonstrate that this basic approach can be substantially improved by decorrelating scores prior t

SUBMITTER: Vsevolozhskaya OA 

PROVIDER: S-EPMC7182280 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature