Ontology highlight
ABSTRACT:
SUBMITTER: Chang T
PROVIDER: S-EPMC6616871 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Chang Tianpeng T Wei Julong J Liang Mang M An Bingxing B Wang Xiaoqiao X Zhu Bo B Xu Lingyang L Zhang Lupei L Gao Xue X Chen Yan Y Li Junya J Gao Huijiang H
Animals : an open access journal from MDPI 20190531 6
Linear mixed model (LMM) is an efficient method for GWAS. There are numerous forms of LMM-based GWAS methods. However, improving statistical power and computing efficiency have always been the research hotspots of the LMM-based GWAS methods. Here, we proposed a fast empirical Bayes method, which is based on linear mixed models. We call it Fast-EB-LMM in short. The novelty of this method is that it uses a modified kinship matrix accounting for individual relatedness to avoid competition between t ...[more]