Table 3.
Meta-GWAS results
SNPa | Chr | A1/A2b | Nearby gene(s)c | Meta -pd | Direction | Results for the meta-GWAS SNPs in each individual cohort |
|||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
POFC |
COHRA1 |
COHRA2 |
Dental SCORE |
||||||||||
P | MAF | P | MAF | P | MAF | P | MAF | ||||||
rs1359694 | 9 | A/C | PTPRD | 5.86E–07 | –––– | 0.0245855 | 0.1223 | 0.000493 | 0.1809 | 0.220907 | 0.1825 | 0.002401 | 0.1825 |
rs12830414 | 12 | C/T | NAV3 | 6.07E–07 | ++++ | 0.0561199 | 0.09428 | 0.006441 | 0.06867 | 0.208079 | 0.07289 | 4.41 E–05 | 0.07289 |
rs682846 | 19 | C/G | MYH14 | 6.36E–07 | –––– | 0.0304989 | 0.3097 | 0.003379 | 0.4438 | 0.023739 | 0.4283 | 0.009207 | 0.4283 |
rs56282801e | 12 | A/G | DHX37 | 1.00E–06 | –––– | 0.0004047 | 0.1984 | 0.001016 | 0.2045 | 0.143019 | 0.3195 | 0.135073 | 0.3195 |
rs4649222e | 1 | A/G | KIAA1804 | 1.83E–06 | ++++ | 0.0450894 | 0.2032 | 0.003782 | 0.2803 | 0.003620 | 0.2879 | 0.083122 | 0.2879 |
rs2840075 | 4 | C/T | SLC4A4, ENAM | 2.20E–06 | –––– | 7.86E–06 | 0.07779 | 0.098322 | 0.1058 | 0.053585 | 0.0984 | 0.156516 | 0.0984 |
rs62196465e | 20 | A/G | MACROD2 | 2.80E–06 | –––– | 0.0116859 | 0.05604 | 0.244040 | 0.05776 | 4.20E–05 | 0.05242 | 0.112376 | 0.05242 |
rs16968212e | 15 | C/T | SCAPER | 2.92E–06 | ++++ | 0.2694265 | 0.06341 | 0.016560 | 0.07246 | 0.014049 | 0.07978 | 0.000683 | 0.07978 |
rs9846530d | 3 | C/G | SEMA5B | 3.69E–06 | –––– | 0.1448401 | 0.2127 | 0.005046 | 0.2219 | 2.13E–05 | 0.2238 | 0.457281 | 0.2238 |
rs7921002 | 10 | G/T | ZMIZ1 | 4.10E–06 | –––– | 0.0093433 | 0.3218 | 0.458316 | 0.178 | 0.002012 | 0.2056 | 0.005373 | 0.2056 |
All the SNPs presented in the table were imputed.
1 A1 is the effect allele, A2 is the other allele.2 Gene within the +500 kb window.3 There is no statistically significant heterogeneity in the meta-analysis results across the cohorts, see supplementary materials, Table S3.4 These SNPs were intronic.