HIGHLIGHTS
- who: Bioinformatics and colleagues from the Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Straubing, Germany have published the article: Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions, in the : Proceedings of ECCB2022 of /2022/
- what: The authors propose permGWAS an LMM reformulation on 4D tensors that can provide permutationbased significance thresholds. The authors show that the method outperforms current state-of-the-art LMMs with respect to runtime and that thresholds have lower false discovery rates for skewed phenotypes compared to the commonly used Bonferroni threshold. The . . .
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