Sam Lambert

Very apt, because it always puzzles me when snooker plays on tv here.

Farewell Wake Island! You guys really shared so many amazing stories, authors, music, film. Truly mind opening during the pandemic.

Are you an emerging clinical academic leader in respiratory medicine?
Come and join @vpd-hlri.bsky.social and @royalpapworth.bsky.social and build your career!
Get in touch if you’d like to discuss.

www.cam.ac.uk/jobs/assista...

🚨Wanted…emerging clinical academic leader in cardiology to join @vpd-hlri.bsky.social and @royalpapworth.bsky.social.
Get in touch if you’d like to discuss the role. We’d love to hear from you!

www.cam.ac.uk/jobs/assista...

We hope it's easy to use with tutorials for UKB (pgsc-calc.readthedocs.io/en/v3-alpha....) & All of Us (pgsc-calc.readthedocs.io/en/v3-alpha.... )! But feel free to contact us on Github: github.com/PGScatalog/p...!

With that, happy holidays from the PGS Catalog team! 🎁 🎄

The new alpha only implements PGS scoring at the moment, but the roadmap will reimplement our existing genetic ancestry tools! Lot's of under-the-hood optimisation using python (zarr, dash), and it only takes VCF or BGEN input atm. github.com/PGScatalog/p...

Wish it was easier to calculate PGS in trusted research environments (TRE) like DNAnexus or the All of Us workbench? Us to! We've been hard at work on a new version of pgsc_calc to make it more scalable in those TREs! Introducing pgsc_calc v3.0.0-alpha.1: pgsc-calc.readthedocs.io/en/v3-alpha.1/

Just published @ Eur Heart J: Combined clinical, metabolomic, and polygenic scores for cardiovascular risk prediction academic.oup.com/eurheartj/ad...

tl;dr these next-gen risk factors could boost the number of CVD events prevented by +80% while keeping treatment efficiency (NNT) the same.

Wonderful contributions from many... tagging in bsky's I know @cfoguet.bsky.social @xilinjiang.bsky.social @yuxu.bsky.social @sritchie73.bsky.social @iamslambert.bsky.social @aidanbutty.bsky.social @stevesphd.bsky.social

📣📣📣 Excited for our lab's latest preprint, led by Chief Ben-Eghan! www.medrxiv.org/content/10.1...

tl;dr We identify protein vQTLs in multiple ancestries then use MVMR to show independent effects of mean & variance on disease, suggesting targeting protein variance could have therapeutic potential.

Stay tuned here for upcoming updates to pgsc_calc (github.com/PGScatalog/p...), our tool for reproducible PGS calculation. Our next version aims to increase the scalability to WGS data in cloud trusted research environments (e.g. All of Us).

Another month and lots of new & useful data added to www.PGSCatalog.org! Including new multi-ancestry insulin resistance scores, a score tailored for heart failure in East Asian individuals & more!

PEGs Workshop Friday, October 17th | 11:45AM – 1:15PM | Convention Center room 259A The meeting will open with an introduction (Noel Burtt), include a recap of the landscape analysis (Laura Harris), presentation…

🚨 Countdown to #ASHG25: Predicted Effector Gene standard is coming! 🚨 Join us and be part of the conversation!
📌 Poster Oct 16 | 2:30–4:30 | Poster Hall
🗓️ Session Oct 17 | 11:45–1:15 | Room 259A
Learn more: kpnashg2025.wordpress.com/pegs-workshop/

Current polygenic risk scores are unlikely to exacerbate unfairness in cardiovascular disease risk prediction Background Current cardiovascular disease (CVD) risk prediction models place many individuals in an intermediate risk category where clinical decision-making remains uncertain, highlighting a critical...

ICYMI 👉 Quantifying the fairness of polygenic risk scores: our modelling and analysis for CVD risk prediction www.medrxiv.org/content/10.1...

Overall PRS fairness levels similar to or better than traditional predictors (age, sex, BP, lipids)

h\t @iamslambert.bsky.social @clairecoffey.bsky.social

Our new paper is out, in which we developed an approach to transform Polygenic Scores (PGSs) into disorder probabilities (i.e., the absolute lifetime disorder risk).

Below a thread 👇

open access link: rdcu.be/eIjvC

Current polygenic risk scores are unlikely to exacerbate unfairness in cardiovascular disease risk prediction Background: Current cardiovascular disease (CVD) risk prediction models place many individuals in an intermediate risk category where clinical decision-making remains uncertain, highlighting a…

Algorithmic fairness metrics have made big inroads in the AI/ML fields to investigate model bias. A clever PhD student (@clairecoffey.bsky.social) thought, why don't you see these methods applied to CVD risk prediction or polygenic risk scores? Enter our new preprint: www.medrxiv.org/content/10.1...

On a personal note, it's great to have the first preprint out from my first PhD student! bsky.app/profile/clai...

There's much more in the preprint - a great team effort from @clairecoffey.bsky.social @sritchie73.bsky.social, Lisa Pennells, Angela Wood & @mikeinouye.bsky.social all from @cambridge-ceu.bsky.social!

Clinical statements (AHA, ESC) have suggested that PRS may be most useful as a risk-enhancing factor for those at intermediate risk. We used PRS to reclassify individuals at intermediate risk by QRISK3 and showed improved sensitivity and fairness benefits (particularly for age & sex).

We evaluated PRS in two contexts, as a standalone risk predictor and as a risk-enhancing factor. Given the known performance differences across ancestries, we were surprised to find that the fairness of PRS predictions across ethnicities was equal to or lower other CVD risk factors when used alone.

Current polygenic risk scores are unlikely to exacerbate unfairness in cardiovascular disease risk prediction Background: Current cardiovascular disease (CVD) risk prediction models place many individuals in an intermediate risk category where clinical decision-making remains uncertain, highlighting a…

Algorithmic fairness metrics have made big inroads in the AI/ML fields to investigate model bias. A clever PhD student (@clairecoffey.bsky.social) thought, why don't you see these methods applied to CVD risk prediction or polygenic risk scores? Enter our new preprint: www.medrxiv.org/content/10.1...

Awesome work by @clairecoffey.bsky.social @iamslambert.bsky.social @sritchie73.bsky.social Lisa Pennells and Angela Wood

Current polygenic risk scores are unlikely to exacerbate unfairness in cardiovascular disease risk prediction Background: Current cardiovascular disease (CVD) risk prediction models place many individuals in an intermediate risk category where clinical decision-making remains uncertain, highlighting a critica...

PRS are well know to have variable performance across ancestries, frequently with a European bias. We looked closely at fairness of PRS for CVD risk prediction, both with PRS on it's own and in an integrated risk score...

Our results were surprising... 👉 www.medrxiv.org/content/10.1...

🚨Exciting fully funded PhD opportunity!

Applications are open for a DTP iCase interdisciplinary PhD studentship in Public Health and Primary Care supervised by @eliasallara.bsky.social

Apply by 2 Dec 2025 👉 www.cam.ac.uk/jobs/dtp-ica...

Sept is approaching & I can already hear initial chats/enquiries for potential PhD studies happening!

If you're interested in a PhD, check out our department @cam.ac.uk www.phpc.cam.ac.uk/education-an...

We've a super interdisciplinary faculty spanning primary care, data science, epidemiology etc

⏰ Last couple of days to apply to join my group @Cambridge as a postdoc and work on the environmental (un)sustainability of AI!

⏳ Closing September 16th.

✏️ Apply here: tinyurl.com/2ukkp8yx

Or learn more about what we do at www.lannelongue-group.org

Initial examples of research projects below 👇

ICYMI it's not a Max Planck directorship but still a great opportunity to join an exciting research environment down under 😁 bsky.app/profile/mike...

📣📣 Cool job alert! The @bakerresearchau.bsky.social is recruiting up to 2 new PIs in Biomedical Data Science 👉 www.seek.com.au/job/85989791...

You’d join an awesome institute in an incredible city (Melbourne, Australia) as well as partnerships like with @cam.ac.uk… you’ll also get to work with me 😁

Is anyone aware of PhD students having access to #allofus data? We are being told it's impossible. Which seems... impractical... given that students do so much of the research in many places. Please reskeet even if you don't know the answer? Would really like to resolve this barrier for my student.

Interested in methods for updating risk prediction models (time-to-event) with new features? Check out this new paper with Will Underwood & co introducing the CARE method, and an application where we augment SCORE2 with PGS & IMD: arxiv.org/abs/2506.23870.