//
sign in
Profile
by @danabra.mov
Profile
by @dansshadow.bsky.social
Profile
by @jimpick.com
AviHandle
by @danabra.mov
AviHandle
by @dansshadow.bsky.social
AviHandle
by @katherine.computer
EventsList
by @katherine.computer
ProfileHeader
by @dansshadow.bsky.social
ProfileHeader
by @danabra.mov
ProfileMedia
by @danabra.mov
ProfilePlays
by @danabra.mov
ProfilePosts
by @danabra.mov
ProfilePosts
by @dansshadow.bsky.social
ProfileReplies
by @danabra.mov
Record
by @atsui.org
Skircle
by @danabra.mov
StreamPlacePlaylist
by @katherine.computer
+ new component
Profile
Loading...
🔬 Scientist | PhD candidate in Biochemistry & Molecular Biology | 🧬 Genomics & Rare Diseases | Researcher @UKSH Kiel
Daniel Kaschta









Loading...
Take-home: reanalysis after ~1.8 years gives a modest but clinically relevant diagnostic gain. Scalable workflows could help unresolved rare disease cases benefit from evolving genomic knowledge.
Beyond diagnostic yield, the study provides practical insights for labs evaluating GS as a new first-tier standard, including the added value of inheritance information for less-experienced teams and the types of variants GS captures that SoC often misses.
Wow! Amazing - and first glimpses of hope for patients and families with this devastating rare disease. www.bbc.com/news/article...
21d