Coping with family structure in genome-wide association studies: a comparative evaluation
Abstract In this paper, a fully statistical investigation of the control of family structure as random effects is analyzed and discussed, using both the genome-wide association studies (GWAS) data and simulated data. Three modeling strategies are proposed and the analysis results suggest the hybrid...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-09-01
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| Series: | BMC Proceedings |
| Online Access: | http://link.springer.com/article/10.1186/s12919-018-0151-8 |
| Summary: | Abstract In this paper, a fully statistical investigation of the control of family structure as random effects is analyzed and discussed, using both the genome-wide association studies (GWAS) data and simulated data. Three modeling strategies are proposed and the analysis results suggest the hybrid use of results from all possible models should be combined in practice. |
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| ISSN: | 1753-6561 |