Table 2.
Imputation with MTFS sequences | Imputation with 1000 Genomes Aug 2011 release | |||||
---|---|---|---|---|---|---|
N | Mean RSQ | RSQ > .3 | N | Mean RSQ | RSQ > .3 | |
< .001 | 11,874,879 | .479 | 78.8% | 19,028,251 | .278 | 35.5% |
MAF [.001–.005) | 5,137,513 | .639 | 95.8% | 6,641,963 | .456 | 64.9% |
MAF [.005–.01) | 1,325,092 | .764 | 98.5% | 1,690,255 | .568 | 79.7% |
MAF [.01–.05) | 2,673,865 | .862 | 99.0% | 3,022,145 | .726 | 90.1% |
MAF ≥ .05 | 5,872,931 | .965 | 99.5% | 6,604,512 | .911 | 97.3% |
Note. SNPs were selected using the 1000 Genomes imputed minor allele frequency. RSQ = minimac-estimated quality metric based on the imputation hidden Markov model; RSQ > .3 = percentage of variants with minimac RSQ greater than .3, a conventional threshold used to discard poorly imputed variants.