Table 2.
Genetic Association Analysis Using EHR-Derived Phenotypesa
| Phenotype Variant (locus) | Number | Reported OR | Risk Allele | OR (95% CI)b | Pb | |
|---|---|---|---|---|---|---|
| Cases | Controls | |||||
| CVD | 1947 | 4824 | ||||
| rs10757278 (9p21) | 1.36,8 | G | 1.2 (1.09–1.29) | 0.000074 | ||
| rs1333049 (9p21) | 1.39,10 | C | 1.2 (1.09–1.28) | 0.000098 | ||
| T2DM | 2306 | 679 | ||||
| rs4506565 (TCF7L2) | 1.47,12 1.511 | T | 1.4 (1.18–1.60) | 0.000017 | ||
| rs7903146 (TCF7L2) | 1.412 | T | 1.4 (1.20–1.60) | 0.0000067 | ||
| Obesity | 534 | 895 | ||||
| rs9939609 (FTO) | 1.37,15,17 | A | 1.4 (1.18–1.63) | 0.000064 | ||
| rs17782313 (MC4R) | 1.219 | C | 1.3 (1.06–1.54) | 0.0092 | ||
Cases and controls were identified by applying validated phenotype algorithms to EHR data. CVD, cardiovascular disease; T2DM, type 2 diabetes mellitus; OR, odds ratio; CI, confidence interval
Additive genetic model