In behavioral neuroscience, questions of development and function are often pursued using either genetic or imaging approaches. The genetics of behavior has been studied in order to shed light on the processes that guide human psychological development. The underlying genetic basis for behavior has long been the subject of debate, but it has been accepted that genes play a role in both behavioral tendencies and susceptibility to disorders of the brain. In this paper, I will address issues of reliability facing the field of imaging genetics. Reliability (measurements and metrics of consistency or accuracy), in this context, is a time-sensitive matter requiring both excellent communication and sensitivity. I will examine the current approaches used to address these issues in each field separately, with examples from the large consortia that demonstrate both best practices and the computational expertise required.