Alex Geary
@alextremophile.bsky.social
570 followers 430 following 30 posts
Postdoctoral Bioinformaticial in the Computational Rare Disease Genomics group (Nicky Whiffin). univ. Oxford 🧬💻 Loves Evolution, regulation, cheese and cats. She/Her
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alextremophile.bsky.social
And a special shout out to the absolutely awesome senior author on this - @ruebenadawes.bsky.social who was a total delight to work with from start to finish!
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alextremophile.bsky.social
I would also like to thank all my co-authors for the time, effort and input that has made this a super little bit of work! I'm looking at you @francois-leco.bsky.social Suzi Walker and @nickywhiffin.bsky.social 👀
alextremophile.bsky.social
We would like to thank everyone who has contributed to this work, but most of all the team at Genomics England, all the participants and their families, without whom all this would not have been possible.
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alextremophile.bsky.social
We therefore developed a command-line tool, ‘SpliceAI-splint’, to identify the subset of variants for which the precomputed scores may have decreased accuracy, to allow reannotation of a smaller overall variant set. github.com/Computationa...
alextremophile.bsky.social
These findings have real implications for the continued use of precomputed scores. However, despite these issues, precomputed scores still have substantial utility in limiting the computational resources required to identify predicted splice-altering variants.
alextremophile.bsky.social
By correcting these issues we found an increase of 18.2% predicted splice-altering variants compared with variants identified using precomputed scores alone. When assessed using diagnostic variants, updated SpliceAI scores resulted in a diagnostic increase of 11.7%.
alextremophile.bsky.social
To determine the potential impact of these issues we annotated variants in a subset of participants recruited with neurodevelopmental disorders in the @genomicsengland.bsky.social National Genomics Research Library, using both precomputed scores, and SpliceAI with updated parameters.
Homepage
Genomics England analyses sequenced genomes for the NHS and then equips researchers to use data to help find the cause of disease.
www.genomicsengland.co.uk
alextremophile.bsky.social
Precomputed scores were calculated using a distance parameter of 50nt, however the suggested threshold has increased to 500nt. They can’t handle larger insertions and deletions. And there are errors within the file itself, likely arising from conversion of the original annotations to GRCh38.
alextremophile.bsky.social
Unfortunately these scores have limitations that can reduce their accuracy in certain contexts: For example changes in transcript annotations, altered transcript boundaries, absence of annotated genes, and changes to exon composition can mean that scores are missed or altered.
alextremophile.bsky.social
These scores also underlie spliceAI annotations in many variant effect predictors such as the @ensembl.org VEP, forming the basis for annotation in many diagnostic pipelines.
Ensembl Variant Effect Predictor (VEP)
www.ensembl.org
alextremophile.bsky.social
SpliceAI is an invaluable tool to identify splice-altering variants. The provision of precomputed scores for all theoretically possible SNVs, 1 base insertions, and 1-4 base deletions has extended this further, massively reducing the time and cost associated with running spliceAI directly.
SpliceAI Lookup
spliceailookup.broadinstitute.org
Reposted by Alex Geary
nechamawieder.bsky.social
3/
The review outlines how UTR variants cause disease, such as:
- Create or remove upstream AUGs (uAUGs)
- Alter splicing
- Alter polyadenylation
- Interfere with miRNA or protein binding
alextremophile.bsky.social
This is such an awesome review paper from @nechamawieder.bsky.social!
UTRs are more than just 'buffers' for the coding sequence - they contain a wealth of important regulatory features!
Reposted by Alex Geary
shakespeare.lol
You seem’d of late to make the law a tyrant
alextremophile.bsky.social
Want a Friday mood boost whilst also raising awareness of rare disorders? Then this fresh drop from the band of one of the GEL participant panel members is for you! ♥️🎶♥️
Play it loud, share it widely!
(Beware - it is _extremely_ catchy!)

open.spotify.com/album/1f2CAX...
The A The C The G The T
The Rayne · Single · 2025 · 2 songs
open.spotify.com
Reposted by Alex Geary
zjayres.bsky.social
Love to my trans sisters, always.

#TransRightsAreHumanRights
Reposted by Alex Geary
themountaingoats.bsky.social
if you are a cis person it costs you nothing to just say today that you see & hear your trans sisters & brothers & others over in the UK today -- and around the world, too, knowing that rulings like today's ripple out in ugly ways.
alextremophile.bsky.social
Finally, and most importantly - this would not have been possible without the support, and contributions made by all the participants and families enrolled in @genomicsengland.bsky.social, their clinical teams, and the staff at Genomics England - to whom we are eternally grateful.
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alextremophile.bsky.social
I would like to give my heartfelt thanks to everyone who has contributed to this work, in particular the incredible @nickywhiffin.bsky.social, Alex Blakes, @drjennylord.bsky.social , Sid Banka and Scott Findlay, who have worked very hard to get this out.
alextremophile.bsky.social
The take 🏡 :

Variants that occur outside of protein-coding regions represent a modest but appreciable contribution to rare disease, and should be routinely incorporated into diagnostic pipelines.

(We present a systematic framework for doing this!)
alextremophile.bsky.social
Looking at the burden that these variants may represent in rare disease we did see an appreciable increase in variants with the potential to disrupt regulation in cases vs controls, though this did not meet the threshold for significance.
link.springer.com/article/10.1...
Two panels showing the odds ratios of burden testing results for cases vs controls across regions and annotation types. It shows an increased number of variants  in case vs control participants, however this is modest, and for the KOZAK and 3' intron groups the odds ratios are wide.