Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling
Abstract Background Mixed models are used to correct for confounding due to population stratification and hidden relatedness in genome-wide association studies. This class of models includes linear mixed models and generalized linear mixed models. Existing mixed model approaches to correct for popul...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-02-01
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| Series: | BMC Genomics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12864-022-08297-y |