Hello.

I read the paper "Whole-exome sequencing identifies a recurrent NAB2-STAT6 fusion in solitary fibrous tumors" briefly.

After reading it, I tried to find the gene fusion in my exome sequence data with cancer patients from hospital.

But I think that it is a better strategy to identify the gene fusion case through the use of the public data that is specified in the above paper before trying to test on my own set.

So I tried to find an explanation about how to access public data in the paper to identify the gene fusion.

Finally I found the bold sentence (below).

**Accession code. Sequence data used for this analysis are available at the database of Genotypes and Phenotpyes(dbGap) under accesssion. phs000568.v1.p1.**

Just reading it, I think I can download data if i have permission. So I go to dbGap stite and search phs000568.v1.p1 and many results occur to me. But I don't know how to access above databases and also don't know how to download.

So Is there anyone who have experienced this before?

If so, I need your help!

Thank you.
You can find the relevant [dbgap][1] study record by [searching dbgap for accession "phs000568.v1.p1"][2]. This will get you to the appropriate dbgap study page:
http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000568.v1.p1

From there we can learn that the study is available for "General Research Use" and does not require IRB. This makes the process much easier than it would be otherwise. But, you still need to have a PI apply for permission to access the data and they will have to agree to follow/supervise the proper protocols in terms of how the data is used and stored.

If your PI is USA-based and has applied for funding then they will most likely have an ERA commons account and be able to login and initiate request for access. You will then probably have to wait some time for your institution signing official and then dbgap to approve your request. I have no idea how this works for non-USA based researchers though.

 [1]: http://www.ncbi.nlm.nih.gov/gap
 [2]: http://www.ncbi.nlm.nih.gov/gap/?term=phs000568.v1.p1