An empirical evaluation of imputation accuracy for association statistics reveals increased type-I error rates in genome-wide associations
<p>Abstract</p> <p>Background</p> <p>Genome wide association studies (GWAS) are becoming the approach of choice to identify genetic determinants of complex phenotypes and common diseases. The astonishing amount of generated data and the use of distinct genotyping platfo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2011-01-01
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| Series: | BMC Genetics |
| Online Access: | http://www.biomedcentral.com/1471-2156/12/10 |