Luke Pilling

Luke Pilling

@lcpilling.bsky.social

PhD. Genetic epidemiologist Researching mechanisms of chronic long-term conditions, ageing, and drugs @ University of Exeter, UK ❤Rstats. UCU rep✊. Views my own He/him. 🏳️‍🌈ally. 🇬🇧🇪🇺 📷 ShowYourStripes.info W: https://github.com/lcpilling

1.2K followers801 following150 posts

Luke Pilling reposted

Replying to @ejhg-journal.bsky.social

🧬 Leigh Jackson (Exeter) presents multiple papers (see EJHG Special Issue ☝️ ) #ESHG2026 Penetrance of TSC, PCD, OI & RB1 across ~900,000 individuals Careful variant & phenotype curation matters In clinically unselected populations, disease risk can be ⬇️ than traditional estimates. #Genomics

Luke Pilling reposted

🧬 Missense ≠ not splice. Mwenda Rintari (Exeter) show that ~2–3% of missense variants may disrupt splicing Analysis of 8.3M variants found protein effects approaching loss-of-function variants & several candidate diagnoses in unsolved patients. #ESHG2026

Luke Pilling reposted

Caroline Wright (Exeter) sharing fundamental knowledge What does the "average" human genome look like?" >900k 🧬 #UKB / #AllofUs / Genome: 1️⃣ ~4.4–5.5 million variants 2️⃣ 2–3 ClinVar P/LP (mostly AR) 3️⃣ ~62–70 de novo variants 4️⃣ ~1 in 5 people in top 1% of PRS for ≥1 disease

Excited to be at #eshg2026 - I'm in session C02, interesting talks on longitudinal disease modelling and genetics If you're here pop me a message and let's get a coffee!

This is truly fascinating, excellent paper. Likely true for a great many diagnoses, which we totally miss by including all cases in GWAS and adjust for age

Age at diagnosis is gaining attention in autism research. AaD is heritable, with genetic factors influencing whether someone is diagnosed earlier or later. The genetic correlation is only moderate, suggesting differing genetic profiles. Commentary: doi.org/10.1038/d415... #autism #genetics

Still manually merging UK Biobank-linked health data? Faffing with Swiss Army Knife to extract variants or create polygenic scores? 🧬 I built {ukbrapR} so we could spend more time on science and less on data plumbing If it helps you, please cite! 📊 citation('ukbrapR') github.com/lcpilling/uk...

github.comGitHub - lcpilling/ukbrapR: R package for working in the UK Biobank Research Analysis Platform (RAP)R package for working in the UK Biobank Research Analysis Platform (RAP) - lcpilling/ukbrapR

I get contacted multiple times a week by users; it's really exciting to hear about all the cool science🌟 If {ukbrapR} supports your research, please cite it so I can track its impact (this really helps me!) Pro-tip: Use the {grateful} package to automatically include {ukbrapR} in your bibliography

Niche R package with epidemiology tools anyone? 📦 Named it {yodr} (phonetically "Yoda") which I cannot believe no-one has done before to be honest! Main functions are for "tidy" model output (extends {broom} package) and PheWAS. Also functions for extreme p-values, etc lcpilling.github.io/yodr

The scale of this whole genome analysis conditioning across large biobanks is extraordinary, revealing novel LDL cholesterol biology 🧪 Bravo to @hiwwright.bsky.social, @drghawkes.bsky.social and the teams from Exeter and Geneva 👏 See Harry's post below for a wonderful analysis & results breakdown

Harry Wright@hiwwright.bsky.social

Excited to share my first preprint on federated conditional analysis of rare single variant and aggregate association tests across six genetically-inferred ancestry groups in All of Us and UK Biobank doi.org/10.64898/202...

Latest output from the GEMINI (genetics of multiple long-term conditions) team 🧬 We used genetics to subtract the effect of obesity, revealing multiple conditions that 1) share obesity as a common cause or 2) share other causes 🌟 strong implications for intervention 🥼 Paper doi.org/10.1038/s438...

doi.orgGenetics identifies obesity as a shared risk factor for co-occurring multiple long-term conditions - Communications MedicineMounier et al., analyse whether obesity, measured by body mass index (BMI) affects the shared genetic risk between 71 long-term health conditions including diabetes, heart disease and arthritis. Healt...

My fav figure: shows the difference between full and partial genetic correlations for all 2485 disease pairs after adjustment for the genetics of BMI ⚖️ Blue shows where the genetics are reduced (explained) by BMI e.g., OA~T2D is fully attenuated 📉 Red shows where the genetic links are stronger!

Luke Pilling reposted

I'm seeing relatively little chatter or outcry about what is happening at the MRC, the UK's biomedical research funder. Before Christmas MRC paused the acceptance of many of its grants, including the standard applicant-led research grant. There has been no public information on what is happening 🧵

Update to my UK Biobank R package {ukbrapR} 🌟 Get imputed variants (load genos or for PGS) using chr:pos not RSIDs (+ MAF, INFO etc). It can also do this for DRAGEN WGS 🐉 Thanks to @harrygreentkd.bsky.social for the help (and pub+pint whilst bug checking!) 🍻 v0.3.10 :: github.com/lcpilling/uk...

github.comGitHub - lcpilling/ukbrapR: R package for working in the UK Biobank Research Analysis Platform (RAP)R package for working in the UK Biobank Research Analysis Platform (RAP) - lcpilling/ukbrapR

Got to say, pretty impressed by the GitHub Copilot coding agent... for repos with my existing code it is fantastic for extending to new analyses that I am interested in doing i.e., it looks at your coding style, data structures, etc and creates a Pull Request for you to review

I don't normally do work on Saturdays (though often end up catching up in evenings due to young children etc) These Saturday GitHub commits were on nerdy personal repos where I annually analyse data about my central heating (Raspberry Pi managed) and my car fuel efficiency 😅 a wild Saturday evening

Luke Pilling reposted

Why do some individuals defy their polygenic score? In the largest study of its kind (402k UKB individuals; 7 continuous traits + 3 diseases), we asked: If your phenotype deviates from common-variant polygenic score prediction, what's driving that difference? www.medrxiv.org/content/10.6...

Luke Pilling reposted

January @DEMONNetworkUK Biomarkers working group is hosting an Inflammation special with Dr Maura Malpetti and Dr Sofia Michopoulou “Unravelling Inflammation in Dementia: Proteomic and Imaging Insights” 📅 Wed 14th Jan 10.30am GMT. New members welcome - pls message for details.

Bookmarked! 🔖

Dylan Williams@dylwil.bsky.social

I'm starting a thread on misunderstandings about the role of APOE in Alzheimer's disease / dementia, from the POV of epidemiology / statistical genetics. I will add to this sporadically over time... #endalz #episky #medsky

Somehow finished my to-do list (well, the urgent stuff) so early Xmas present to myself is a few (uninterrupted? 🤞) days on DNAnexus with the new release of UK Our Future Health data 🤩

Great to be back at the @ukbiobank.bsky.social scientific conference 2025 to meet old friends and make new collaborations #UKBSC25 Positive opening remarks from Prof Collins RE growing data linkages (GP data actually incoming? 🤞) and amazing research outputs Message if you're here and want to chat

(Re)discovered the ability to "mute" words from the feed. I come here for your niche science, health data, and genetics posts ❤️ I do not need anything about cats or certain megalomanic billionaires (though at least your cat pictures were cute)

Really enjoyed a joint meeting earlier between Exeter rare genetics team and @celsoneto.bsky.social and colleagues from the Human Genomics without Racism (HUGERA) project 🧬 Really complex area. Looking forward to considering how to better consider genetic diversity and self-identified ethnicity!

Luke Pilling reposted

There’s a new kid in town! Companies are now selling IVF and embryo selection based on genetic testing for traits related to health and even intelligence. We outline methodological and ethical concerns, and warn against risks for social inequality. With the fantastic @gaiaghirardi.bsky.social

fertstert.orgEmbryo selection based on polygenic prediction risks reinforcing social inequalityThe rise of companies offering embryo selection based on genetic testing has triggered heated debate about ethical acceptability, as well as the accuracy and scientific validity of these techniques. W...

Luke Pilling reposted

First time on Bsky and first big announcement! I am excited to announce that our new study explaining the missing heritability of many phenotypes using WGS data from ~347,000 UK Biobank participants has just been published in @Nature. Our manuscript is here: www.nature.com/articles/s41....

nature.comEstimation and mapping of the missing heritability of human phenotypes - NatureWGS data were used from 347,630 individuals with European ancestry in the UK Biobank to obtain high-precision estimates of coding and non-coding rare variant heritability for 34 co...

Luke Pilling reposted

One of the biggest increases in my analysis/coding productivity in recent years is completely embracing git repos 🐧 Coupled with GitHub it is *so easy* to be open, reproducible, efficient, and accountable to myself and colleagues 👨‍💻 No more chaotic servers wondering which script led to what! 😵‍💫

Very exciting to have access to "Our Future Health" data and begin understanding what is available and how to access it Many thanks to the volunteers so far. Still a long way to go - consider signing up if you haven't already! This is a greater primer on the aims www.nature.com/articles/s41...

nature.comOur Future Health: a unique global resource for discovery and translational research - Nature MedicineOur Future Health has recruited more than 1 million participants in the UK, with biobanked bloods, making it the largest consented cohort of its type in the world.

Study of 230,000 people finds many examples where the effect of a genetic variant differs depending on the parent of origin, especially for growth and metabolism - fascinating! Amazing study, congrats @rjhfmstr.bsky.social, @zkutalik.bsky.social and team 👏

Robin Hofmeister@rjhfmstr.bsky.social

🚨 Our parent-of-origin study is out in Nature! 🧬 Maternal and paternal alleles can have distinct — even opposite — effects on human traits, revealing a hidden layer of genetic architecture that standard GWAS miss. 🔗 www.nature.com/articles/s41... Highlights below!