CORE GREML for estimating covariance between random effects in linear mixed models for complex trait analyses
Linear mixed models have bias due to the assumed independence between random effects. Here, the authors describe a genome-based restricted maximum likelihood, CORE GREML, which estimates covariance between random effects. Application to UK Biobank data highlights this as an important parameter for m...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-08-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-18085-5 |