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Confidential health records from UK BioBank project exposed online | Genetics | The Guardian Exclusive: Guardian investigation finds data from flagship medical research leaked dozens of times

"did not highlight a privacy risk" 🫨🤐🤪😳😱🤬🤡🙃🫠🫣
#UKBioBank www.theguardian.com/science/2026...

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Confidential health records from UK BioBank project exposed online Exclusive: Guardian investigation finds data from flagship medical research leaked dozens of times

This is breathtaking complacency.

"the chief executive of UK Biobank, said: “We have never seen any evidence of any UK Biobank participant being re-identified by others.”

Not good enough. Resign, if that's all the care you have for our data. #ukbiobank #health

www.theguardian.com/science/2026...

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Data-Driven Phenotyping Reveals Nonuniform Association Between Age and Mortality After Aortic Surgery: Retrospective Cohort Study of UK Biobank Data Background: Life expectancy and age are frequently considered factors to assess perioperative and postoperative mortality risks in patients affected by aortic pathologies, which can affect the decision whether to suggest invasive treatment. Objective: This study aims to investigate the association between age and all-cause mortality after invasive aortic treatment. Methods: Unsupervised clustering (k-means) using data from the UK Biobank was conducted for patients with aortic pathologies ( [ICD-10] group I71) receiving endovascular or open surgical treatment. Clustering variables encompassed demographic and clinical parameters. Survival analyses (postoperative survival time in days to all-cause death) between clusters and cluster-derived age groups were conducted. Results: The study included 1801 individuals undergoing surgical or endovascular repair for aortic aneurysms. Unsupervised cluster analysis identified distinct groups primarily based on age, both in models using 2 or 3 clusters. Clusters with older patients at surgery exhibited lower postoperative survival, with perioperative mortality disproportionately affecting these groups. While age was significantly associated with postoperative mortality overall (hazard ratio 1.07, 95% CI 1.05‐1.08), this association diminished in older clusters after excluding perioperative deaths, a trend confirmed in analyses adjusted for relevant confounders. Conclusions: Unsupervised cluster analysis revealed age as the primary factor distinguishing patient groups undergoing invasive treatment for aortic pathologies. However, age at surgery appears to have different consequences in certain age brackets, indicating a complex nonuniform relationship.

New in JMIR Aging: Data-Driven Phenotyping Reveals Nonuniform Association Between Age and Mortality After Aortic Surgery: Retrospective Cohort Study of UK Biobank Data #DataDriven #AorticSurgery #MortalityRisk #AgeAndHealth #UKBiobank

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UK Biobank study connects gray matter differences with sleep disturbance and mental health during post-menopause.

vist.ly/4s3eq

#longevity #WomensHealth #Menopause #BrainHealth #HealthyAging #MentalHealth #SleepHealth #UKBiobank

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Now Palantir owns the #NHS data sharing platform and #UKBiobank has gained access to all the high quality primary care data it would appear the stage is set for the #broligarchy to take full control. @thenerve.news @bylinetimes.bsky.social @hardeepmatharu.bsky.social

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UK moves ahead with GP patient data sharing plan The UK government has asked the NHS to start putting together the platforms to allow anonymised primary care patient data to be used by researchers.

#populationhealth #patientdatasharingplan #UKgovernment #NHS #populationbasedresearchprojects #GPhealthrecords #UKBiobank #OurFutureHealth #GenomicsEngland #100000GenomesProject #NHSGPdata #humanhealth #deidentifiedhealthdata #AMRC #healthinformation #realworldevidence #patientdata
zurl.co/rw8IC

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NHS primary care data joins UK Biobank for 500,000 volunteers, making early risk, multimorbidity and prevention easier to study.

vist.ly/4r8r2

#longevity #UKBiobank #PrecisionMedicine #EarlyDetection #Multimorbidity #PreventiveHealth #HealthData #PopulationHealth

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El cannabis se asocia a mejor cerebro en adultos de más de 40 Un estudio en adultos de 40 a 77 años liga el cannabis con más volumen cerebral y mejor rendimiento cognitivo, pero avisa de límites y dosis. Un estudio basado en resonancias magnéticas y pruebas de r...

El cannabis se asocia a mejor cerebro en adultos de más de 40 #cannabis #cerebro #neurociencia #cognicion #envejecimiento #saludmental #ciencia #investigacion #UKBiobank #resonanciamagnetica #THC #CBD #saludpublica #5defebrero #felizjueves donporque.com/cannabis-y-c...

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Study finds cataracts are associated with an increased risk of Parkinson’s disease, suggesting they may serve as a potential non-motor marker. doi.org/10.1016/j.ne... #ParkinsonsDisease #Cataract #Neurodegeneration #Biomarker #UKBiobank #ObservationalStudy

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🎉 Congratulations to Steven Mitchell, PhD student at the Centre for Genomic Medicine, on award of Top Poster at Festival of Genomics & Biodata 2026
#FestivalOfGenomics #FOG #FOG2026 #GenomicMedicine #UKBiobank #Hypertension #HypertensionResearch #RareVariants #PhDLife Devyser Genomic Laboratories

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Visit our booth #94 to meet with the  UK Biobank Team! Wednesday, Jan 28th 12:30 - 14:30. The following UK Biobank team members will be in our booth: George Foody, Senior Bioinformatician, Lydia King, Bioinformatician, and Lora Boteva, Senior Data Analyst

Visit our booth #94 to meet with the UK Biobank Team! Wednesday, Jan 28th 12:30 - 14:30. The following UK Biobank team members will be in our booth: George Foody, Senior Bioinformatician, Lydia King, Bioinformatician, and Lora Boteva, Senior Data Analyst

Join us and our partners @ukbiobank.bsky.social at Festival of Genomics! They’ll be at our booth #94 on Wednesday, January 28 answering your questions about the dataset and working on UKB-RAP. Don’t miss it!

#FOG2026 #UKBiobank #genomics #populationhealth #precisionmedicine

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Individuals who were #sociallyisolated but not lonely had increased odds of #postoperativecomplications in this retrospective #UKBiobank #cohortstudy

www.bjanaesthesia.org/article/S0007-0912(25)00...

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Depressive and anxiety symptomatology among people with asthma or atopic dermatitis: A population-based investigation using the UK Biobank data The present study investigated the association of depression and anxiety symptomatology (DAS) with asthma and atopic dermatitis (AD) diagnosis during …

🙏 Grateful to my co-authors and collaborators, and to UK Biobank participants for making this research possible.

📄 Read the full paper here:
🔗 www.sciencedirect.com/science/arti...

#AcademicTwitter #MentalHealth #Epidemiology #UKBiobank #FirstAuthor

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Jeff Keller participating in a panel discussion with members from UK Biobank and AWS on the UKB-RAP.

Jeff Keller participating in a panel discussion with members from UK Biobank and AWS on the UKB-RAP.

Thank you to our partners @ukbiobank.bsky.social for having us at their scientific conference! The conference was a valuable opportunity to connect with the UKB-RAP community & learn about their research that’s providing valuable healthcare insights.

#UKBiobank #PopulationHealth

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Charting the Ageing Brain: Insights from 46,000 MRI Scans What happens inside our brains as we age? Researcher Fatemeh (Simeen) Tabassi Mofrad used UK Biobank data to create an unprecedented map of brain ageing—and discovered why some regions are more vulnerable than others.

🧠 What happens inside our brains as we age?

Researcher Fatemeh (Simeen) Tabassi Mofrad analysed 46,000+ MRI scans to map brain ageing—revealing why some regions are more vulnerable than others.

Discover the findings 👉 zurl.co/AAoSv

#DementiaResearch #BrainHealth #UKBiobank

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#AortaEd
#Diabetes

⬆️HbA1c level (even in normal range) is associated with ⬇️asc/desc thoracic aortic diameter & ⬇️risk for Aneurysm/Dissection

Multi-omics #UKBiobank Mendelian Randomization analyses➡️a causal link b/w glycemic traits / #T2D & TAAD risk

#JACCBTS 2025
www.jacc.org/doi/10.1016/...

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 Overview of the analyses. Top panel: Latent dimensions were searched using RCCA, linking cortical thickness and gray matter volume measures (parcel-wise across the whole brain cortex) with a wide set of risk factors for non-communicable diseases. Bottom panel: In order to interpret the latent dimension, the brain loadings were compared with several brain features. Created in BioRender.

Overview of the analyses. Top panel: Latent dimensions were searched using RCCA, linking cortical thickness and gray matter volume measures (parcel-wise across the whole brain cortex) with a wide set of risk factors for non-communicable diseases. Bottom panel: In order to interpret the latent dimension, the brain loadings were compared with several brain features. Created in BioRender.

#BrainHealth & physical health should be studied together: Multivariate study of #UKBioBank by @sarahgenon.bsky.social &co uncovers links between #cardiometabolic health, physical robustness, #brain structure & #neurotransmitter systems @plosbiology.org 🧪 plos.io/48j0UQg

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 Overview of the analyses. Top panel: Latent dimensions were searched using RCCA, linking cortical thickness and gray matter volume measures (parcel-wise across the whole brain cortex) with a wide set of risk factors for non-communicable diseases. Bottom panel: In order to interpret the latent dimension, the brain loadings were compared with several brain features. Created in BioRender.

Overview of the analyses. Top panel: Latent dimensions were searched using RCCA, linking cortical thickness and gray matter volume measures (parcel-wise across the whole brain cortex) with a wide set of risk factors for non-communicable diseases. Bottom panel: In order to interpret the latent dimension, the brain loadings were compared with several brain features. Created in BioRender.

#BrainHealth & physical health should be studied together: Multivariate study of #UKBioBank by @sarahgenon.bsky.social &co uncovers links between #cardiometabolic health, physical robustness, #brain structure & #neurotransmitter systems @plosbiology.org 🧪 plos.io/48j0UQg

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 Overview of the analyses. Top panel: Latent dimensions were searched using RCCA, linking cortical thickness and gray matter volume measures (parcel-wise across the whole brain cortex) with a wide set of risk factors for non-communicable diseases. Bottom panel: In order to interpret the latent dimension, the brain loadings were compared with several brain features. Created in BioRender.

Overview of the analyses. Top panel: Latent dimensions were searched using RCCA, linking cortical thickness and gray matter volume measures (parcel-wise across the whole brain cortex) with a wide set of risk factors for non-communicable diseases. Bottom panel: In order to interpret the latent dimension, the brain loadings were compared with several brain features. Created in BioRender.

#BrainHealth & physical health should be studied together: Multivariate study of #UKBioBank by @sarahgenon.bsky.social &co uncovers links between #cardiometabolic health, physical robustness, #brain structure & #neurotransmitter systems @plosbiology.org 🧪 plos.io/48j0UQg

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If you’re attending in person, make time to meet with our expert team. They can guide you with best practices for analyzing the extensive new UK Biobank data release and generally getting the most out of UKB-RAP!

#UKBiobank #PopulationHealth #PrecisionMedicine

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New UK Biobank Data Release Now Available

New UK Biobank Data Release Now Available

New @ukbiobank.bsky.social now available on UKB-RAP! What discoveries will you make with this next tranche of data? hubs.ly/Q03Vdj800

#UKBiobank #Genomics #Metabolomics #Imaging #ImagingData #PopulationHealth

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🚨 Paper alert 👇
Does war trauma leave a lasting imprint on civilians’ brains🧠?

We analyzed ~40k MRIs in the #UKBiobank, including ~6k of people born during WWII. Those exposed to close bombings in-utero show differences in brain structure, even decades later.

www.biorxiv.org/content/10.1...

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New @ukbiobank.bsky.social data release is coming to the UKB-RAP later this month! You can find more details on the UK Biobank community: community.ukbiobank.ac.uk/hc/en-gb/art...

#UKBiobank #Genomics #Metabolomics #Imaging #ImagingData #PopulationHealth

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I am presenting updates on multiomic research and clinical risk prediction on behalf of @nightingalehealth.com at this year's @ukbiobank.bsky.social conference. Looking forward to joining the event, and catching up with other attendees!
#UKBiobank #Omics #HealthData

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This #UKBiobank 🩸 is a unique resource, not only for 🧬 but also for protein #biomarkers

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That’s it for #ASHG25! We had a fantastic time discussing how we’re enabling AI-powered multiomics analysis at scale. Thank you to our partners @ukbiobank.bsky.social for the great workshop & answering questions at our booth!

#genomics #AI #UKBiobank #populationhealth #precisionmedicine

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🎉 New publication alert!
Our latest paper, “Optimising fibromyalgia criteria: evidence from the UK Biobank,” explores how large-scale data can refine diagnosis and deepen understanding of chronic pain.
Read more 👉 www.sciencedirect.com/science/arti...

#Fibromyalgia #ChronicPain #UKBiobank

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People who consumed excess free sugar, starch, and animal protein had increased #Type2Diabetes risk, regardless of total calories.

For those people, substituting with non-free sugar and plant protein could reduce the risk.

#UKBiobank #Macronutrients #Diet #Obesity

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New article by #EHMLab at #LSHTM on confounding in #airpollution #epidemiology, with a case study using the #UKBiobank.
Key result: importance to control for residual spatial confounding and lifestyle factors.
Focus on #reproducibility, with #R code & synthetic data.

Links: lnkd.in/dxY9SuGt

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FastUKB
R package for #UKBiobank data extraction

vs RAP ukbREST ukbtools

"automatically generates baseline characteristic tables"
"automatically identify the most suitable matched samples"
........

Fascinating🤓
But where's the code???🤒

#iMetaMed 2025
onlinelibrary.wiley.com/doi/10.1002/...

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