Greater power and computational efficiency for kernel-based association testing of sets of genetic variants
Motivation: Set-based variance component tests have been identified as a way to increase power in association studies by aggregating weak individual effects. However, the choice of test statistic has been largely ignored even though it may play an important role in obtaining optimal power. We compar...
| Main Authors: | , , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Oxford University Press
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221116/ |