Ontology highlight
ABSTRACT:
SUBMITTER: Niu YF
PROVIDER: S-EPMC5345724 | biostudies-literature | 2017 Mar
REPOSITORIES: biostudies-literature
Niu Yao-Fang YF Ye Chengyin C He Ji J Han Fang F Guo Long-Biao LB Zheng Hou-Feng HF Chen Guo-Bo GB
G3 (Bethesda, Md.) 20170310 3
In line with open-source genetics, we report a novel linear regression technique for genome-wide association studies (GWAS), called Open GWAS algoriTHm (OATH). When individual-level data are not available, OATH can not only completely reproduce reported results from an experimental model, but also recover underreported results from other alternative models with a different combination of nuisance parameters using naïve summary statistics (NSS). OATH can also reliably evaluate all reported result ...[more]