Anneke Lucassen

@alucassen.bsky.social

Prof Genomic Medicine, UoOxford Director Centre for Personalised Medicine https://cpm.ox.ac.uk/ Interested in how we bring together ethics, social, molecular and clinical sciences to make sense of genomics. @annekeluc at the other place

What a spectacular tour de force this lecture was. Thankyou Trish for interesting and entertaining lecture highlighting how personalised medicine and personalised care must be considered together and that technologies are only useful if we retain context around data 1/2

Centre for Personalised Medicine@cpmoxford.bsky.social · 5mo ago

Don’t miss this year’s CPM Annual Lecture! Professor Trish Greenhalgh @trishgreenhalgh.bsky.social will speak on: 'Personalised Medicine: A Primary Care Perspective' 🗓 Tuesday 28th April 2026 📍 Maths Institute, Oxford Find out more and register: cpm.ox.ac.uk/event/cpm-an...

Gene therapy in ~95% of the population is the naive concept here: manipulating the genomes of most people for only a modest shift in prob. This why, in public discussion, it is more appropriate to talk about genes as modifying risk alongside other factors, not singular “causes” to be edited away.

Dylan Williams@dylwil.bsky.social · 7mo ago

Stressing to public the overlapping roles of both environment and genes is fine...it is naive scientific responses like the one pictured (cited by the Mail) we took issue with. Taking away risk broadly will remove disease (at population level). Tho we could consider gene therapy over magic to do so

Calling the most common human variant a 'risk allele' is methodologically correct but nosologically problematic—it redefines disease categorisation in a way that obscures rather than clarifies the distinction between genetic susceptibility and modifiable risk pathways.

Neil Davies@neilmdavies.bsky.social · 7mo ago

Therefore, your comments to SMC are simply incorrect. First, our results are not an artefact of choosing a rare protective variant. Using the lowest-risk group is simply the *correct* way to calculate population-attributable fractions. en.wikipedia.org/wiki/Attribu...

I think we're talking difference between "cause" in epidemiology and what pple understand in everyday speech. IMO "cause" misleads into thinking gene more deterministic than it is. for single dominant risk like smoking, "cause" is fine, but for multifactorial conditions "modifies risk" is better

Emma Anderson@emmylooroll.bsky.social · 7mo ago

’Cause’ doesn’t imply you can eliminate disease, for alleles or any other risk factors. Sticking with the smoking analogy, if we wipe out all smoking tomorrow, some people will still get lung cancer. Smoking is still the biggest cause of lung cancer. I think you’re thinking more about prediction?

Thanks for waking me out of bluesky inactivity! Presume this on the back of my SMC quote? My point was that if >95% population have a genotype, it is pretty meaningless to talk about it being causative of disease. Quite happy with apoE alleles *modifying risk* of Alzheimer’s

Dylan Williams@dylwil.bsky.social · 7mo ago

My fave commentary on our paper in the Mail last week Interested to know what @alucassen.bsky.social uses as a definition of causation though! Here's mine: ajph.aphapublications.org/doi/full/10.... Further reading WRT the topic: zenodo.org/records/1796...