Table 2. Association of lottery and insurance purchase with MAOA.
Longshot Risk | Subject | Allele Model | Genotype Model | ||||||
OR | CI | p-value | OR | CI | p-value | ||||
Lottery | Pooled | 0.548 | 0.356 | 0.842 | 0.006 | 0.674 | 0.506 | 0.897 | 0.007 |
(High activity | Male | 0.509 | 0.247 | 1.048 | 0.067 | 0.714 | 0.497 | 1.024 | 0.067 |
allele) | Female | 0.597 | 0.365 | 0.975 | 0.039 | 0.619 | 0.388 | 0.988 | 0.044 |
Insurance | Pooled | 1.511 | 0.944 | 2.422 | 0.086 | 1.323 | 0.962 | 1.820 | 0.085 |
(Low activity | Male | 1.753 | 0.753 | 4.081 | 0.193 | 1.324 | 0.868 | 2.020 | 0.193 |
Allele) | Female | 1.335 | 0.779 | 2.287 | 0.292 | 1.301 | 0.799 | 2.118 | 0.290 |
Logit regression is used to test the effect of MAOA on lottery and insurance purchase with control variables of age, gender, student status, and education. This table reports results using both allele and genotype models for pooled, male, and female subjects. OR refers to odds ratio and CI refers to its 95% confidence interval.