TS: a powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data.

ABSTRACT: BACKGROUND:In the last decade, a large number of common variants underlying complex diseases have been identified through genome-wide association studies (GWASs). Summary data of the GWASs are freely and publicly available. The summary data is usually obtained through single marker analysis. Gene-based analysis offers a useful alternative and complement to single marker analysis. Results from gene level association tests can be more readily integrated with downstream functional and pathogenic investigations. Most existing gene-based methods fall into two categories: burden tests and quadratic tests. Burden tests are usually powerful when the directions of effects of causal variants are the same. However, they may suffer loss of statistical power when different directions of effects exist a

SUBMITTER: Zhang J 

PROVIDER: S-EPMC7199321 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature