This tool that we call a 95 percent confidence interval can give us an idea - an upper bound and a lower bound - a range. If we were to look at another database, the true frequency would fall in this range. When we performed this additional statistical analysis, we saw that applying the 95 [percent] confidence interval we can expect to see this profile most commonly; one in approximately 1,600 individuals. So, what this means is if we were to take another database, we would expect to see this profile not more than one in 1,600 individuals. If you take that frequency of the profile and inverted it, another way of looking at it is to say we expect to see it most commonly in one in 1,600 people; how many people could not have contributed to this profile. That is what we call an exclusion probability and we give this a percentage, a percentage of the population who could not have contributed to this profile, based on the database we are using and that percentage came up as 99.9 percent of the population could not have this profile that we have encountered in this case." (emphasis added)