Table 3.
Lead deQTLs from meta-analysis with heterogeneity statistics
| Marker | Chr | BP | Gene | |Dist. to TSS| (bp) | Alt Dir | Meta P | EurAm P | AfrAm P | Het ISq | Het PVal |
|---|---|---|---|---|---|---|---|---|---|---|
| rs507901 | 13 | 75,869,652 | TBC1D4 | 186,599 | ++ | 7.3E-19 | 7.3E-11 | 1.2E-09 | 0 | 0.39 |
| rs4711510 | 6 | 37,669,641 | MDGA1 | 2558 | – | 2.1E-14 | 3.5E-10 | 1.2E-05 | 0 | 0.73 |
| rs745527 | 1 | 111,745,975 | CHI3L2 | 2581 | ++ | 3.0E-13 | 4.8E-16 | 0.16 | 93.2 | 1.3E-4 |
| rs2384074 | 12 | 113,382,977 | OAS1 | 38,394 | – | 9.5E-13 | 2.2E-14 | 0.076 | 90.5 | 1.2E-3 |
| rs1365610 | 15 | 45,694,610 | GATM | 84 | – | 1.1E-12 | 4.8E-07 | 3.1E-07 | 0 | 0.32 |
| rs5742938 | 2 | 190,649,958 | ASNSD1 | 123,846 | ++ | 1.1E-11 | 7.2E-09 | 2.9E-04 | 0 | 0.51 |
| rs7549498 | 1 | 182,363,623 | GLUL | 2281 | ++ | 2.2E-11 | 3.9E-06 | 6.5E-07 | 22.1 | 0.26 |
| rs12460944 | 19 | 33,305,725 | TDRD12 | 95,065 | ++ | 2.5E-11 | 7.3E-08 | 7.9E-05 | 0 | 0.88 |
| rs34818 | 5 | 102,436,111 | PPIP5K2 | 19,743 | – | 2.7E-11 | 1.2E-07 | 5.2E-05 | 0 | 0.98 |
| rs7134391 | 12 | 113,366,691 | OAS3 | 9467 | – | 2.1E-10 | 1.9E-11 | 0.092 | 86.8 | 5.9E-3 |
| rs62391517 | 6 | 2,936,204 | SERPINB1 | 93,963 | ++ | 3.7E-10 | 1.8E-06 | 4.8E-05 | 0 | 0.76 |
| rs1628955 | 15 | 65,187,220 | ANKDD1A | 16,882 | – | 1.2E-09 | 2.7E-09 | 0.025 | 70.8 | 6.4E-2 |
| rs6136391 | 20 | 18,480,845 | DTD1 | 87,693 | ++ | 1.6E-09 | 1.1E-05 | 2.9E-05 | 0 | 0.53 |
| rs62383003 | 5 | 156,700,461 | CYFIP2 | 7371 | – | 2.2E-09 | 8.3E-06 | 5.9E-05 | 0 | 0.64 |
| rs754554 | 7 | 24,758,818 | GSDME | 50,427 | ++ | 4.8E-09 | 4.0E-10 | 0.14 | 85.7 | 8.1E-3 |