Table 1.
No. of Brains | All | Rep. 1 | Rep. 2 | Rep. 3 | Rep. 4 | Rep. 5 | Rep. 6 | Rep. 7 | Rep. 8 | Rep. 9 | Rep. 10 | Median |
---|---|---|---|---|---|---|---|---|---|---|---|---|
130 | 1956 | |||||||||||
100 | 1058 | 1075 | 1082 | 1088 | 1103 | 1116 | 1174 | 1178 | 1279 | 1341 | 1110 | |
50 | 858 | 1561 | 2088 | 2470 | 2621 | 3661 | 4510 | 4773 | 4937 | 6574 | 3141 | |
25 | 1535 | 2319 | 5594 | 6991 | 7418 | 28381 | 36834 | 89053 | 199909 | 229813 | 17900 | |
13 | 0 | 0 | 0 | 0 | 0 | 3618 | 3791 | 3822 | 3852 | 7383 | 1809 |
Ten replications of n = 100, 50, 25, 13 were randomly selected from the 130 available CRBL samples and used to detect eQTLs at the transcript-level. The number of eQTLs detected are sorted from smallest to largest from replications 1 to 10. When n = 100, the number of eQTLs detected per sample was comparable to the 1,956 eQTLs detected with the total number of available CRBL samples (n = 130) given the decrease in sample size. However, when n ≤ 50, the number of eQTLs detected became extremely variable across samples with implausibly high numbers of eQTLs (e.g. sample 10, n = 25, the number of eQTLs detected = 229,813).