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Article

SCEBE: an efficient and scalable algorithm for genome-wide association studies on longitudinal outcomes with mixed-effects modeling.

Briefings in bioinformatics - 20 May 2021

Yuan Min, Xu Xu Steven, Yang Yaning, Zhou Yinsheng, Li Yi, Xu Jinfeng, Pinheiro Jose

Abstract excerpt

Genome-wide association studies (GWAS) using longitudinal phenotypes collected over time is appealing due to the improvement of power. However, computation burden has been a challenge because of the complex algorithms for modeling the longitudinal data. Approximation methods based on empirical Bayesian estimates (EBEs) from mixed-effects modeling have been developed to expedite the analysis. However, our analysis...

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PMID: 32634825
DOI: 10.1093/bib/bbaa130

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