Uncovering the genetic architecture of ME/CFS: a precision approach reveals impact of rare monogenic variation, 2025, Birch, Younger et al

Except that the data has been anonymised, so siblings can be identified as such but not their contact details.
Oh ok. That's actually reassuring in terms of data privacy if the investigators literally have no way to identify a sample. I assumed the data was anonymized for analysis and for sending to other institutions, but that there would be some sort of master list identifying each sample in a secure (digital) vault. So all the identifying info is totally destroyed?
 
Surely it would be difficult to do this kind of work without setting it up properly as a project, with its own ethics assessments and so on? It's hard to see how you could just bolt additional investigations on to DecodeME, unless they were explicitly consented during recruitment.

It's even more complicated if it's also looking to recruit children or young people under 18. Maybe I'm blowing it out of proportion, but it doesn't sound like something that could be done without setting up a project and obtaining funding for it.
 
Surely it would be difficult to do this kind of work without setting it up properly as a project, with its own ethics assessments and so on? It's hard to see how you could just bolt additional investigations on to DecodeME, unless they were explicitly consented during recruitment.

It's even more complicated if it's also looking to recruit children or young people under 18. Maybe I'm blowing it out of proportion, but it doesn't sound like something that could be done without setting up a project and obtaining funding for it.
You're not blowing it out of proportion at all, rather others are with the best of intentions minimising the hurdles in the way of achieving such a project.
 
I'll need to read this paper thoroughly, but if I understood previous comments from @LizWorthey, the collection of variants presented is not based on trying to find variants that are found in multiple participants. Each individual was searched for variants indendently, and KCNJ18 turned out to be one of the implicated genes four times.

Can we say anything about the statistical significance of 4 individuals out of 31 having a variant associated with KCNJ18? Do we know around how often healthy people would be expected to have a pathogenic variant tied to the same gene using the same filters?

Edit: Though I don't have a sense for how one would go about considering the multiple testing burden surrounding this, since the entire genome was searched.
 
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