Well, so first of all, I think the totality of evidence is extraordinarily important. So, the design, why it exists the way it exists, the extent to which it’s a reasonable approximation of a Becker dystrophin, the preclinical work, all of the related biomarker work. And then all of the clinical data that we have, including the integrated analysis, we have, 101. Those kids are 1 year, 2 year, 3 years now, 4 years out. We’ve got 102 Part 1 and Part 2, those kids are 1 in 2 years out. We’ve got 103, a broad look at kids from a safety perspective. And 103, very broad age ranges, very broad weights and the like. And certainly, the integrated analysis pulling it all together is additionally valuable. What I would say on the FDA is that the FDA has seen all of this data we’ve shared all of this information with them. Obviously, all -- their views on all of that is going to reveal itself in the review process itself. But we feel very good. I’m not sure how one does an external control more rigorously than the way we’ve done it. Just to remind people, it’s not a simple external control -- we used a well-masked external control, but then we masked on 4 different covariants, not simply 1 covariate, which is age, NSA baseline, I think 10-meter walk/run. I believe, rise time, if I’m not misremembering. And then we didn’t even stop there. We got that very closely matched. But to ensure that we had a tight correlation between -- and is closely a representative, external crucial was our actual group as possible. We did this regression analysis and this propensity matching, which is essentially synthetically makes the distribution, not simply the means of the distribution identical across the 2. So within the limitations associated with external control, this is about as rigorous as one gets. And then on top of it, I should note that many of the patients in the external control actually came from placebo-controlled trials, so to the extent that people might wonder about that. They actually came from a very similar approach that you’d have to a placebo-controlled trial because they were on a placebo at the time that their information was developed. So, we’ll have this full review with the agency. I don’t think it’s any one piece of data. I think it’s all of the data that’s going to go into the discussion because remember, with respect to accelerated approval, the fundamental question is, does this surrogate endpoint -- in this case, we’re talking about functional shortened dystrophin. So, is it reasonably likely based on all of this data, reasonably likely to predict the clinical benefit? We’re obviously the sponsors, so you can imagine what our perspective is, but we believe it’s very compelling.