Delighted to share I have started a new position as Data Science Lead for the UK Mental Health Mission (& Senior Research Fellow, King's College London)! Exciting opportunity to make a difference in mental health via facilitating research across the UK https://t.co/35Ia3Zx7uh

The application of polygenic risk scores (PRS) in clinical practice has advanced but also received criticism. In this Perspective by @scsanderson and @minouye271, major psychological and behavioural arguments against PRS applications have been assessed. https://t.co/tZeo1tGDbQ

Big milestone for NHS DigiTrials! We’re recruiting for 4 new ground breaking studies, across cancer and rare paediatric surgical conditions: https://t.co/xPs1mm0B6K Professor Matthew Sydes, Head of Data-Driven Clinical Trials and Cohorts, shares the news ⬇️ #poweredbyNHSdata

Our flaghsip @intervene_eu paper is now published! I think this is an important piece of work to elevate the stature of polygenic score to that of other well-studied risk factors We provide country-specific cumulative incidence estimates for 18 diseases by PGS levels.

Please complete and/or RT our brief 5-min 9-item survey and help us map routine outcome measure use in #MentalHealthSupport services for children and young people. Part of @UK_Life_Science Mental Health Mission. Pls follow link - https://t.co/XrNK0NI2QQ

🧬 Exciting breakthrough from the eMERGE Network! Paving the way for Polygenic Risk Scores (PRSs) to enter clinical practice, enhancing personalized medicine. #Genomics #PersonalizedMedicine 1/n #eMERGENetwork @nialljlennon @Kottyan_Lab #ChrisKachulis https://t.co/3KVobn2Alw

How readable are patient letters in the NHS Genomic Medicine Service? Researcher Holly Ellard explores communication in the early GMS by looking at letters sent to patients. Catch the blog to see what she found. https://t.co/ucvPaET5FJ #genomics #communication

Our new paper reporting the challenges of implementing the NHS genomic medicine service is out now in @FrontGenetics. We report on the early barriers and enablers of implementing system-wide change within a complex healthcare system: https://t.co/R5D8pb2dfB

Finally - balanced, clear and concise insights to help you understand polygenic scores, the complexities of implementation and potential solutions. Open to all https://t.co/1HcXM6wmYc

Nice study showing polygenic risk alters the penetrance of monogenic kidney disease. This will be the norm in every disease, but nice to see the satisfying results. Note the striking difference between high (OR=54.4) vs low (OR=3.03) PRS groups among rare variant carriers.

.@aklfahed & I review the opportunity for coronary artery disease polygenic risk scores to improve prevention across the life course https://t.co/mrqMqm9cVz @ATHjournal

Do genetics improve risk prediction for incident CAD? 🧬 👉yes, on top of PCE (AUC 0.759->0.773) 👉especially for ages <55y 👉additive to familial hypercholesterolemia variants and family history by @smsaadatagah @iftikhar_kullo et al @JACCJournals https://t.co/HJwrRZYZxH

The latest on human total body cell count and cell size derived from >1,500 sources @PNASNews Men ~36 trillion cells Women ~28 trillion cells an inverse relationship between cell size and count https://t.co/i9qKqFOaVB

Huge congrats to our @mit_hst @harvardmed student @ImJiwooLee using Mendelian randomization to estimate healthcare costs attributed to various clinical risk factors. Highlights substantial estimated cost savings from treating obesity https://t.co/XnWc5M08Pc @NatureComms @andganna

Genetic factors influencing coffee consumption differ between the US and the UK 🧬☕️ For example, genetic correlations with cognition were negative in the US (based on 23andMe) but positive in the UK (UKB). Check out the preprint of our new coffee GWAS: https://t.co/PfVJwuiT9Q

Genetic factors are often not included in CHD prediction models @smsaadatagah & @Naderian_mr investigated whether PRS, Family hx & monogenic variants (FH) can be combined for CHD risk prediction https://t.co/m70F9BISMs

Few 'metabolic' genes are more interesting or translationally challenging to interpret than FTO & metabolic phenotypes-here linkage of the the rs1421085 T>C variant with increase brown adipose tissue thermogenesis in mice @NatMetabolism #Genetics #obesity

Buckle up! We're in for a wild ride today. A new @NatMetabolism paper by scientists from China adds a surprising twist to the long-known FTO GWAS story. The FTO locus (16q12.2) is the first ever GWAS locus to be associated with obesity and even after 16 yrs now, scientists

‘Generally speaking polygenic scores (in the conditions most studied) are living up to their potential. The question is whether that translates to real clinical utility’ — Prof Paul James on polygenic risk and 3 challenging themes in implementation #AusGenomicsSummit #ICG2023

To perform a GWAS of participation bias, one needs to compare the genomes of cases (participants) against that of controls (non-participants), which is impossible as controls are, you know, absent. But that didn't stop @StefBeno and A. Kong. Participation is a heritable trait