Ontology highlight
ABSTRACT:
SUBMITTER: Xiong Z
PROVIDER: S-EPMC9767941 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature
Xiong Ziyi Z Gao Xingjian X Chen Yan Y Feng Zhanying Z Pan Siyu S Lu Haojie H Uitterlinden Andre G AG Nijsten Tamar T Ikram Arfan A Rivadeneira Fernando F Ghanbari Mohsen M Wang Yong Y Kayser Manfred M Liu Fan F
Nature communications 20221220 1
Standard genome-wide association studies (GWASs) rely on analyzing a single trait at a time. However, many human phenotypes are complex and composed by multiple correlated traits. Here we introduce C-GWAS, a method for combining GWAS summary statistics of multiple potentially correlated traits. Extensive computer simulations demonstrated increased statistical power of C-GWAS compared to the minimal p-values of multiple single-trait GWASs (MinGWAS) and the current state-of-the-art method for comb ...[more]