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TITLE: The genetic signature of assortative mating appears to be growing stronger in the United States

URL: https://www.psypost.org/the-genetic-signature-of-assortative-mating-appears-to-be-growing-stronger-in-the-united-states/

When people pair up with partners who share their traits, such as educational background or lifestyle habits, they can leave subtle footprints in the human genome that persist across generations. A new study of hundreds of thousands of people in the United Kingdom and the United States finds genetic signatures of this partner matching, known as assortative mating, with the signatures for education and smoking appearing stronger among more recently born Americans. The findings were published in Behavior Genetics.

Assortative mating is the non-random pairing of individuals who have similar characteristics. When people choose a partner, they frequently select someone with similar schooling, body measurements, or daily habits rather than pairing up by chance. Over multiple generations, this non-random pairing can concentrate specific traits within families and alter how inherited traits are distributed across a population.

When partners who share heritable traits have children together, genetic variants related to those traits tend to become linked across the genome in ways that would not occur under random mating. Geneticists refer to this genome-wide connection as gametic phase disequilibrium, which occurs when DNA variants on completely different chromosomes become statistically correlated.

In a 2018 study, researchers developed an approach to detect this pattern by comparing genetic predictors calculated separately from even-numbered and odd-numbered chromosomes within unrelated people. Under random mating, genes on separate chromosomes have no relationship to one another, so any positive correlation between these chromosome halves provides evidence of cumulative partner matching across past generations.

Partner matching matters beyond individual couples, because concentrating similar traits within families may widen social and health differences between households over time. Similarity between partners does not necessarily mean people choose each other for those traits, however. For instance, a study covered by PsyPost in 2025 indicated that educational similarity between partners arises mostly through shared social and family backgrounds rather than direct selection on education itself. Gretchen R. B. Saunders of the University of Minnesota conducted the new study to evaluate whether education, physical traits, and health behaviors show genetic signatures of partner matching, and whether those signatures have changed across twentieth-century birth cohorts.

To explore these dynamics, Saunders analyzed large genetic datasets from two major resources: the UK Biobank in the United Kingdom and the All of Us Research Program in the United States. The analysis included 82,398 likely spouse or long-term cohabiting opposite-sex pairs and 16,273 full sibling pairs from the UK Biobank, along with 333,491 unrelated individuals from the UK Biobank and 228,875 unrelated individuals from the All of Us cohort. Because existing genetic discovery models were developed primarily using participants of European descent, the researcher restricted all samples to individuals of European genetic ancestry to maintain statistical accuracy.

The investigation examined eight traits: educational attainment, height, body mass index, and five smoking and drinking behaviors. The substance use measures included whether an individual ever smoked regularly, their age when starting, the maximum cigarettes smoked per day, whether they quit smoking, and typical drinks consumed per week. For each participant, polygenic scores were constructed, which are numerical scores that sum up thousands of tiny DNA variations across the genome to estimate an individual’s genetic predisposition for a trait.

The author used several analytical strategies to track mating patterns across generations. First, the study measured direct similarities in physical traits and habits between spouses in the UK Biobank, as well as similarities in their polygenic scores. Next, polygenic score correlations among full siblings were examined to see if they exceeded the 0.50 level expected under random mating, which indicates assortative mating in the parents’ generation. Finally, the author calculated correlations between even-numbered and odd-numbered chromosomes in unrelated individuals to detect broad genomic signatures of assortment and tested whether these signatures changed across birth years.

The results indicated positive similarities between spouses for observable traits across all eight measures, evaluated on a correlation scale where 0 represents no resemblance and 1 represents a perfect match. Educational attainment showed the highest spousal correlation at 0.45, closely followed by weekly alcohol consumption at 0.42. Moderate spousal resemblances appeared for smoking cessation at 0.33, body mass index at 0.26, and smoking initiation at 0.23.

These patterns also pointed to two distinct trait clusters among couples. People with higher educational attainment tended to partner with individuals who were taller, had a lower body mass index, and were less likely to smoke. In contrast, individuals who engaged more heavily in smoking or drinking tended to pair with partners who shared similar substance use habits and higher body mass index values.

When examining polygenic scores, spousal genetic resemblances mirrored these observable traits but were smaller in magnitude. The strongest genetic pairing occurred for educational attainment, with a spousal genetic correlation of 0.16, followed by height at 0.08 and smoking initiation at 0.06. Sibling comparisons also supported the conclusion that partner matching occurred in previous generations, as full siblings shared more genetic similarities than the expected 0.50 benchmark for most analyzed traits.

On average, the genetic correlations between partners were about 80 percent smaller than the correlations for the traits themselves. Part of this gap is expected, because polygenic scores capture only a fraction of genetic influences, but it exceeded 90 percent for habits that can change during a relationship, such as drinks per week and cigarettes per day. Saunders interprets this as a sign that partners also come to resemble each other through shared settings and mutual influence, while traits largely set before partners meet, such as height and education, showed the smallest gaps.

In addition, comparisons between spouse pairs and sibling pairs suggested that genetic assortment was either stable or expanding from the parental generation to the offspring generation. Traits such as educational attainment, height, and smoking initiation displayed increases in genetic resemblance between partners compared to the excess similarity observed between siblings.

In the unrelated samples, the even-odd chromosome method provided evidence of persistent genetic assortment across the genome. Both the UK Biobank and All of Us cohorts showed an even-odd chromosome correlation of roughly 0.07 for educational attainment and 0.04 for height and smoking initiation. Under random mating, this correlation would be expected to be zero. Cross-trait analyses also indicated that genetic predispositions toward higher education were negatively correlated with genetic predispositions toward smoking across separate chromosomes, though the author notes such patterns could also partly reflect shared biology or subtle population differences.

Birth-cohort analyses indicated differences in how these patterns shifted over the twentieth century between the two countries. In the UK Biobank, which included people born between 1936 and 1970, the even-odd measure remained largely stable across decades, showing an increase only for smoking cessation. In the American All of Us cohort, which spanned birth years from 1900 to 2005, genetic assortment showed notable increases across generations for smoking initiation, smoking cessation, and educational attainment. Specifically, the genetic signature for educational assortment in the United States rose from approximately 0.04 among those born in the 1930s to 0.09 among those born around 2000.

Saunders notes that the stronger U.S. trends may partly reflect the All of Us sample’s much wider range of birth years, which makes small changes easier to detect. She also points to differences between the two countries, including a faster and more varied expansion of American higher education and declines in U.S. smoking that were more sharply divided along social lines.

“The main takeaway is that patterns of similarity between partners can leave detectable genetic signatures across generations,” said Norbert Meskó, a full professor in the Department of Cognitive and Evolutionary Psychology at the University of Pécs and director of the Evolutionary Psychology Lab, who was not involved in the research. “People resemble their partners in education, smoking, and alcohol consumption, and this study also finds smaller but consistent similarities in genetic scores associated with these characteristics.”

“The finding that deserves particular attention is that some of these genetic signatures were stronger in more recent U.S. birth cohorts, especially for educational attainment and smoking-related traits,” Meskó told PsyPost. “This suggests that the accumulated genetic consequences of assortative mating may differ across generations. However, I would distinguish this finding from direct evidence that people today are choosing more similar partners: the study primarily infers historical mating patterns from genetic data.”

There are a few things to keep in mind when interpreting these findings. The study focused exclusively on participants of European genetic ancestry, which means the results cannot be assumed to apply to other ancestral or cultural backgrounds where social dynamics and mating customs might differ.

“I find the broad evidence for assortative mating more convincing than the evidence that it has become stronger over time,” Meskó explained. “These are comparisons between people born in different periods, rather than direct observations of partner formation across successive generations. Differences in recruitment, participation, survival, and population composition could influence those comparisons. Large samples improve statistical precision, but they do not automatically eliminate systematic bias.”

Additionally, the UK Biobank does not formally record marital status through official registries, meaning spouses were identified using shared addresses and household characteristics. While strict checks were applied, minor misclassifications could have occurred, which would tend to make the estimated partner similarities smaller than they truly are.

“The clearest potential misunderstanding would be to conclude that our genes determine whom we fall in love with, or that people somehow recognize and select partners with similar genetic profiles,” Meskó warned. “Neither conclusion follows from this study. People meet within schools, workplaces, neighborhoods, and social networks that already structure their opportunities to encounter potential partners. Similarity arising through those settings can also produce genetic similarities between partners.”

“Likewise, a polygenic score associated with education is not a measure of someone’s fixed educational potential,” Meskó added. “It is a statistical predictor derived from associations in particular populations and environments. Finally, the implications for inequality should be treated as plausible consequences rather than outcomes directly demonstrated here. The study does not establish how much these mating patterns have increased socioeconomic or health inequalities.”

It is also worth noting that non-random mating cannot be separated entirely from other social processes, such as partners adopting each other’s habits over time or meeting simply because they share the same neighborhood or workplace.

“I would particularly welcome longitudinal research that measures people before they form a relationship and follows both partners over time,” Meskó said regarding next steps. “This would help distinguish three processes: choosing someone who is already similar, meeting someone through a shared social environment, and becoming more similar through life together. Combining that design with genetic data and information across generations would make the historical interpretation stronger.”

“Overall, I see this as a useful contribution to understanding how social patterns of partnering become reflected in genetic data,” Meskó concluded. “Its strongest message is that partner similarity matters for interpreting population genetics; its more tentative message concerns how that similarity has changed over time.”

The study, “Changing Patterns of Assortative Mating for Educational, Substance Use, and Anthropometric Traits,” was authored by Gretchen R. B. Saunders.

URL: https://www.psypost.org/the-genetic-signature-of-assortative-mating-appears-to-be-growing-stronger-in-the-united-states/

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DATE: October 1, 2026 at 02:00PM
SOURCE: PSYPOST.ORG

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TITLE: Early-life sugar restriction tied to better mental health in adulthood

URL: https://www.psypost.org/early-life-sugar-restriction-tied-to-better-mental-health-in-adulthood/

A recent study suggests that people exposed to post-war sugar rationing from conception through their second birthday had a lower risk of being diagnosed with anxiety and depression in adulthood. These findings provide evidence that early-life nutritional environments can have long-lasting effects on mental health. The research was published in Translational Psychiatry.

The research, led by Hana F. Navratilova and Nophar Geifman, who conducted the work at the University of Surrey, focused on a critical developmental window known as the first 1,000 days of life. Spanning from conception to a child’s second birthday, this is a period of rapid physical and brain growth. Nutrition during this specific time is thought to set the foundation for lifelong health and disease vulnerability.

To study the long-term effects of sugar intake during this period, scientists turned to a unique historical event. During and after World War II, the United Kingdom implemented strict food rationing, which included severe limits on sugar. Sugar rationing abruptly ended in September 1953, creating a natural experiment. People born in the years before this date spent some or all of their first 1,000 days under rationing, while those conceived afterward grew up with abundant access to sugar.

Previous research has used the end of post-war British sugar rationing to show that restricting sugar during the first 1,000 days of life was linked to a lower risk of dementia in older age, as detailed in a 2026 study. Similarly, a study covered by PsyPost in 2025 found that this same early-life restriction was associated with a lower risk of asthma and lung conditions in adulthood.

“We have been working on the effects of diet on health using the UK Biobank study that has data from over 500,000 volunteers for some time now, and in particular the effects of diet on mental health,” Nophar Geifman, a professor of health and biomedical informatics at the School of Health Sciences at the University of Surrey, told PsyPost. “We then came across the study from Gracner and colleagues, published in the leading scientific journal Science, that stated sugar rationing in utero and in early life (first 1000 days) was associated with decreased risk of diabetes and hypertension.”

“This is absolutely plausible, because fetal and infant nutrition is known to influence later metabolic disease risk,” added Geifman, who is also the Director of Informatics for the Veterinary Health Innovation Engine. “But what about mental health? We had access to all the data and a developed toolkit to ask the question and so Dr. Hana Navratilova, our colleague (who was a PhD candidate at the time), put in the hard miles to find the answer.”

Building on this research progression, Navratilova and colleagues tested whether this same early-life nutritional environment was associated with a lower risk of psychiatric conditions, specifically anxiety and depression. They also sought to look at brain structures and dietary preferences to understand how these associations might arise as a person ages.

The scientists analyzed data from 46,448 participants in the UK Biobank, a large-scale biomedical database. These individuals were born between October 1951 and March 1956. The team divided the participants into different groups based on how many days of their early life coincided with the strict sugar rationing period.

For example, the longest-exposed group experienced rationing for about 1,000 days, starting in the womb and continuing up to 24 months of age. Other groups experienced shorter rationing windows, ranging from about 817 days down to 270 days. The primary comparison group consisted of participants conceived well after all food rationing ended in the United Kingdom, meaning they grew up with no restrictions on sugar.

The team tracked medical diagnoses of anxiety and depression using the participants’ linked health records. They also gathered questionnaire data from a subset of participants to gauge their preference for sweet foods and their actual daily sugar intake.

During an average follow-up of about 15.7 years, 2,776 participants were diagnosed with anxiety and 3,147 with depression overall. The results indicate a protective association between prolonged early-life sugar rationing and adult mental health. Participants exposed to the longest period of rationing had a 33% lower relative hazard of being diagnosed with anxiety in adulthood compared to the non-rationed group. In unadjusted terms, 5.79% of the longest-exposed group was diagnosed with anxiety during follow-up, compared with 6.28% in the non-rationed group.

“The size of the UK Biobank volunteer population means we can find a lot of people who experienced sugar rationing in early life,” Geifman explained. “That means our study is statistically quite powerful. Technically this means the so-called Hazard Ratio of sugar intake in the first 1000 days of life links very well to anxiety in later life.”

“This is subjectively pretty amazing, but also, it is a statistically sound conclusion,” Geifman added. “We set out to this work open-minded and as objectively as possible, but the significance of the link to anxiety was highly intriguing.”

Similar patterns emerged for depression. The 1,000-day rationing group had a 29% lower relative hazard of being diagnosed with depression. In unadjusted terms, 6.69% of this group received a diagnosis, compared with 7.23% in the highest-risk group, those conceived just after sugar rationing ended. Groups rationed for about 635 and 817 days also had lower risks for both conditions, while those rationed only in the womb or up to six months of age did not differ from the non-rationed group. This suggests that a longer period of early-life restriction may be needed for the association to appear.

The associations ran in the same direction for both men and women, though they appeared stronger in women. To verify their findings, the researchers checked for links to two conditions not expected to be affected by early sugar intake, type 1 diabetes and PTSD, and found none. They also found no association in a small group of participants born in Ireland, where sugar rationing ended in December 1951, though the authors note this check was too small to be conclusive.

Interestingly, the study found no major differences in the amount of sugar the participants consumed as adults. However, those exposed to the longest period of rationing did report a slightly lower preference for sweet foods, scoring an average of 5.82 out of 9, compared to 6.04 in the non-rationed group.

When the researchers adjusted their mathematical models to account for the participants’ adult sugar intake, the lower risk of anxiety remained, though the authors note this check relied on limited dietary data from a subset of participants. In contrast, the lower risk of depression weakened and became statistically non-significant. This shift suggests that an individual’s diet in adulthood might play a larger role in mediating their depression risk, whereas anxiety risk appears more deeply tied to early-life factors.

“We think that people who look at this study will hopefully recognize that wellness and mental health (especially anxiety) in later life can be influenced by diet in the first 1000 days of life,” Geifman said. “However, that isn’t to say that those first 1000 days are fatalistic, and current food choice of course can shape one’s health.”

Brain imaging analyses also pointed to structural differences linked to early diet. Analyzing brain scans from 5,990 participants, the researchers noted variations in the grey matter volume of certain brain regions. Grey matter is the tissue in the brain and spinal cord composed mostly of nerve cell bodies, which plays a major role in processing information.

While grey matter volume differed across the rationing groups in 80 of 139 measured regions, only 11 of these regions differed between most of the rationed groups and a never-rationed group conceived just after sugar rationing ended. These differences were particularly noted in the brainstem, which sits at the base of the brain and controls basic life functions, and the cerebellum, a structure at the back of the brain involved in movement and some cognitive processes.

The variation in these areas suggests that early-life sugar restriction might subtly influence how the nervous system develops. However, exploratory models did not support brain structure as a pathway linking rationing to lower anxiety.

The findings align with research covered by PsyPost earlier this year, which also linked higher sugar intake to greater odds of anxiety and depression. Similar patterns have been noted in a 2017 study linking sugar intake to later mood disorders, and in a 2024 study by the same Surrey team linking a preference for sweet foods to depression. However, a measurement caveat is needed when comparing these results. The previous studies primarily evaluated adult sugar intake or preferences alongside self-reported symptoms, whereas the new study focused on early-life sugar rationing and formal medical diagnoses decades later.

There are a few things to keep in mind when interpreting the new findings. The research relies on an observational, natural experiment, meaning it cannot confirm that sugar restriction directly caused the lower rates of anxiety and depression.

“This study is all about probabilities and potential risk,” Geifman told PsyPost. “Early-life sugar restriction was only associated with altered anxiety risk decades later, there is no attempt on our part to imply causality, i.e. that one leads to the other in all cases of high sugar intake in the first 1000 days of life.”

Other unmeasured historical factors, such as maternal stress during the post-war period or shifts in healthcare policies, might have influenced the outcomes. Rationing also changed families’ whole diets, not just sugar, meaning broader nutritional shifts could have played a role. Additionally, the medical records used to track anxiety and depression largely capture diagnoses made later in life. Mental health conditions were historically under-diagnosed, and many participants might have experienced symptoms in young adulthood that were never officially recorded in their health files.

Future research might explore the specific biological pathways involved in these associations. Scientists could investigate whether genetic predispositions interact with early-life nutrition to shape mental health, or look closer at inflammatory markers in the body to understand exactly how diet translates to psychological resilience.

“We will continue with follow-up studies when more data on primary health care is available from UK Biobank, and for example, when proteomic data is available for all participants and we can explore associations with biomarkers,” Geifman added.

Geifman also thanked the study’s participants. “Just to thank all of the UK Biobank volunteers, your selfless actions are making a difference to human health,” Geifman concluded.

The study, “Dietary sugar exposure in early life and risk of adult mental health disorders: UK Biobank cohort study,” was authored by Hana F. Navratilova, Anthony D. Whetton, and Nophar Geifman.

URL: https://www.psypost.org/early-life-sugar-restriction-tied-to-better-mental-health-in-adulthood/

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Italia @[email protected]

2026-09-20

https://www.europesays.com/it/690333/ Lo stress lascia un’impronta nel cuore: la scienza spiega come e perché #CardiovascularPreventionGuidelines #CirconferenzaVita #CorianòM #elettrocardiogramma #EuropeanJournalOfPreventiveCardiology #EuropeanSocietyOfCardiology #fumo #GlycA #GrassoAddominale #Health #ImperialCollegeLondon #IT #Italia #Italy #MedicalResearchCouncil #Salute #StressECuore #UkBiobank #WorldHealthOrganization

#worldhealthorganization #ukbiobank #stressecuore #salute #medicalresearchcouncil #italy

Italia @[email protected]

2026-09-19

https://www.europesays.com/it/689321/ Dormire meno di 5 ore è associato a 37 malattie: cosa rivelano sonno REM e profondo #CapitalMedicalUniversity #DiabeteDiTipo2 #Health #IT #Italia #Italy #JingsongLuo #pechino #PLOSMedicine #rem #Salute #ShengzhiSun #SleepNet #SonnoProfondo #UkBiobank

#ukbiobank #sonnoprofondo #sleepnet #shengzhisun #salute #rem

Österreich @[email protected]

2026-09-18

https://www.europesays.com/at/403995/ KI-Modell schätzt Netzhaut-Biologie und zeigt biologisches Alter mit 3 Jahren Abweichung #AI #ARTIFICIALINTELLIGENCE #AT #Austria #BiologischesAlter #Biomarker #Entzündung #Geriatrie #Gesundheit #Gtex #Health #KI #KünstlicheIntelligenz #NaturCommunications #Netzhaut #Österreich #Retfound #Risikomarker #Stoffwechsel #UKBiobank

#ukbiobank #stoffwechsel #risikomarker #retfound #osterreich #netzhaut

Ireland @[email protected]

2026-09-18

https://www.europesays.com/ie/694806/ More physical activity linked to lower type 2 diabetes risk in adults #blood #diabetes #Éire #Exercise #Health #IE #Ireland #Metabolism #Obesity #OCT #PhysicalActivity #Prediabetes #PublicHealth #Research #Type2Diabetes #UKBiobank

#ukbiobank #type2diabetes #research #publichealth #prediabetes #physicalactivity

Italia @[email protected]

2026-09-16

https://www.europesays.com/it/684966/ Osteoporosi, il peso non dice tutto: il rapporto tra grasso e muscolo cambia la mappa del rischio #bmi #DensitàMineraleOssea #FrattureOsteoporotiche #GrassoCorporeo #Health #IT #Italia #Italy #MassaMuscolare #osteoporosi #RapportoMassaGrassaMuscolare #Salute #UkBiobank

#ukbiobank #salute #rapportomassagrassamuscolare #osteoporosi #massamuscolare #italy

Mediterranean Diet @[email protected]

2026-08-19

What 3,600 adults with diabetes revealed about lifestyle and heart health

A UK Biobank analysis followed more than 3,600 adu…
#dining #cooking #diet #food #mediterranean #MediterraneanDiet #MediterraneanFood #cardiovasculardisease #Diabetes #heart #heartfailure #IschemicStroke #Mediterranean #Mortality #MyocardialInfarction #physicalactivity #sleep #stroke #type2diabetes #UKBiobank
https://www.diningandcooking.com/2777096/what-3600-adults-with-diabetes-revealed-about-lifestyle-and-heart-health/

#dining #cooking #diet #food #mediterranean #mediterraneandiet

Dining and Cooking @[email protected]

2026-08-19

What 3,600 adults with diabetes revealed about lifestyle and heart health

A UK Biobank analysis followed more than 3,600 adults with type 2 diabetes to examin…
#dining #cooking #diet #food #MediterraneanDiet #cardiovasculardisease #Diabetes #heart #heartfailure #IschemicStroke #Mediterranean #Mortality #MyocardialInfarction #physicalactivity #sleep #stroke #type2diabetes #UKBiobank
https://www.diningandcooking.com/2777096/what-3600-adults-with-diabetes-revealed-about-lifestyle-and-heart-health/

#dining #cooking #diet #food #mediterraneandiet #cardiovasculardisease

Dining & Cooking @[email protected]

2026-08-19

What 3,600 adults with diabetes revealed about lifestyle and heart health https://www.diningandcooking.com/2777096/what-3600-adults-with-diabetes-revealed-about-lifestyle-and-heart-health/ #CardiovascularDisease #Diabetes #diet #food #heart #HeartFailure #IschemicStroke #Mediterranean #MediterraneanDiet #Mortality #MyocardialInfarction #PhysicalActivity #sleep #stroke #Type2Diabetes #UKBiobank

#cardiovasculardisease #diabetes #diet #food #heart #heartfailure

Pierre Lindenbaum @[email protected]

2026-07-01

#UKbiobank "We are planning for a phased re-opening of access to the UK Biobank Research Analysis Platform (UKB-RAP) from September. In recognition of the disruption caused to research by its abrupt closure in April, all projects will be extended by 6 months, as will any compute credits.

Later this year, we will introduce a manual Output Checking System (OCS) with only limited capacity to allow results to be downloaded.
"

#ukbiobank

Aidoo @[email protected]

2026-05-19

La proteómica en sangre mejora la predicción temprana de 17 enfermedades (cáncer, corazón, diabetes) y supera a los metabolitos en 16/17, según UK Biobank. https://aidoo.news/noticia/Wd073R

#Ciencia #Biomarcadores #Medicina #UKBiobank #Epidemiologia

#ciencia #biomarcadores #medicina #ukbiobank #epidemiologia

Analyst207 @[email protected]

2026-04-29

UK Biobank Data Surfaces for Sale on Alibaba Amid Security Probe

UK Biobank data was mysteriously listed for sale on Alibaba, but thankfully, the listings were swiftly removed with the help of the UK and Chinese governments, and no sales were made. The sensitive data, which includes genomic information, health records, and medical imaging, had been shared with researchers but was de-identified to protect…

https://osintsights.com/uk-biobank-data-surfaces-for-sale-on-alibaba-amid-security-probe?utm_source=mastodon&utm_medium=social

#UkBiobank #Alibaba #GenomicData #HealthData #DataBreach

#ukbiobank #alibaba #genomicdata #healthdata #databreach

Benjamin Carr, Ph.D. 👨🏻‍💻🧬 @[email protected]

2026-04-25

#UK #Biobank health data listed for sale in #China
Technology minister #IanMurray said information of all members of the database was found for sale on #Alibaba
Murray told MPs charity which runs #UKBiobank had reported #databreach. He said the information did not include names, addresses, contact details or telephone numbers
However he said it could include gender, age, month and year of birth, socioeconomic status, lifestyle habits, and measures from biological samples
https://www.bbc.com/news/articles/cpvxgl3n138o

#uk #biobank #china #ianmurray #alibaba #ukbiobank

MediaFaro News Digest @[email protected]

2026-04-24

UK health data is listed for sale on Alibaba in China.

The British government is investigating how health data volunteered to a charity for research purposes wound up for sale via three vendors on the Alibaba e-commerce site in China.

One listing had 500 000 people’s data.

https://mediafaro.org/article/20260423-uk-health-data-is-listed-for-sale-on-alibaba-in-china?mf_channel=mastodon&action=forward

#UK #Health #DataBreach #Data #HealthData #UKBiobank #Research

#uk #health #databreach #data #healthdata #ukbiobank

Hacker News @[email protected]

2026-04-24

UK Biobank leak: Health details of 500 000 people are offered for sale

https://www.bmj.com/content/393/bmj.s781

#HackerNews #UKBiobank #DataLeak #HealthPrivacy #MedicalEthics #DataSecurity

#hackernews #ukbiobank #dataleak #healthprivacy #medicalethics #datasecurity

N-gated Hacker News @[email protected]

2026-04-23

🎉 Breaking news: UK Biobank's ultra-secret health data plays hide-and-seek on GitHub! 🕵️‍♂️ Because apparently, 20,000 researchers missed the memo on "don't hit upload" 🤦‍♀️—making sure British volunteer info gets the global exposure it never asked for. 😂📂
https://biobank.rocher.lc #UKBiobank #GitHub #DataPrivacy #ResearcherOops #HealthDataLeak #HackerNews #ngated

#ukbiobank #github #dataprivacy #researcheroops #healthdataleak #hackernews

Hacker News @[email protected]

2026-04-23

UK Biobank health data keeps ending up on GitHub

https://biobank.rocher.lc

#HackerNews #UKBiobank #GitHub #DataPrivacy #HealthTech #DataSecurity

#hackernews #ukbiobank #github #dataprivacy #healthtech #datasecurity

CyberNetsecIO @[email protected]

2026-04-23

📰 UK Biobank Breach: Health Data of 500,000 Volunteers Found for Sale on Alibaba

MASSIVE BREACH: UK Biobank data for 500,000 volunteers leaked by Chinese research partners & found for sale on Alibaba. De-identified health records exposed in a major data governance failure. 🏥 #DataBreach #UKBiobank #Healthcare

🔗 https://cyber.netsecops.io/articles/uk-biobank-data-of-500000-volunteers-leaked-and-sold-online/?utm_source=mastodon&utm_medium=social&utm_campaign=twitter_auto

#databreach #ukbiobank #healthcare

Adam Jacobs 🇺🇦 @[email protected]

2026-04-23

Looks like UK Biobank are going for the "Data Breach of the Year Award".

A strong contender, I think.

https://www.bbc.co.uk/news/articles/cpvxgl3n138o

#UKBiobank #CyberSecurity #DataBreach

#databreach #cybersecurity #ukbiobank

Pierre Lindenbaum @[email protected]

2026-04-23

UK Biobank data security update https://www.ukbiobank.ac.uk/news/a-message-to-our-participants-uk-biobank-data-security-update/

"Listings offering access to UK Biobank data (which did not contain any personally identifying information) were found on a Chinese consumer website. These listings were swiftly removed before any purchases were made"

#ukbiobank #security

Pierre Lindenbaum @[email protected]

2026-04-17

Phenome-wide analysis of copy number variants in 470,727 UK Biobank genomes https://www.nature.com/articles/s41586-025-10087-x

#cnv #sv #bioinformatics #ukbiobank

UNWIRE.HK @[email protected]

2026-03-21

每日飲 2 至 3 杯咖啡復旦大學研究：可降低情緒及壓力障礙風險
中國復旦大學研究團隊分析 UK Biobank 逾 46 萬名英國成年人數據後發現，每日飲 2 […]
#生活科技 #健康 #咖啡 #咖啡因
 https://unwire.hk/2026/03/21/coffee-mental-health-mood-disorder-study/life-tech/?utm_source=rss&utm_medium=rss&utm_campaign=coffee-mental-health-mood-disorder-study

#每日飲咖啡 #降低情緒及壓力障礙風險 #復旦大學研究 #ukbiobank #健康 #咖啡

Andreas Becker @[email protected]

2026-01-04

9.500 Datensätze trainieren neues medizinisches Modell.

CardioKG nutzt einen Wissensgraphen, um MRT-Bilddaten strukturell mit Genetik zu matchen. Das Ziel ist Drug Repurposing: Rheuma-Mittel werden basierend auf visuellen Merkmalen gegen Herzinsuffizienz identifiziert. Das senkt Entwicklungszyklen drastisch.

Ist Korrelation in Datenbanken gut genug für eine ärztliche Verschreibung? #CardioKG #ImperialCollege #UKBiobank
https://www.all-ai.de/news/news26/ki-herz-medikamente

#cardiokg #imperialcollege #ukbiobank

Strypey @[email protected]

2025-08-29

"A large federally-funded study coming out of [US]America, published in Nature, 'marijuana users have enhanced cognitive abilities' ... [they] analysed brain imaging and cognitive data, from 37929 people. The cannabis consumers consistently outperformed the non-users in the cognitive tests. They had brain network characteristics typically associated with younger brains."

#ChrisFowlie, 2025

https://95bfm.com/bcast/95bfm-drive-w-halfqueen-r%C4%81pare-august-14th-2025

#podcasts #95bFM #MarijuanaMedia #UKBioBank #cannabis #cognition #research

#chrisfowlie #podcasts #95bfm #marijuanamedia #ukbiobank #cannabis

Pierre Lindenbaum @[email protected]

2025-05-07

I've been told that in the UKBB bgen files , the order of the alleles is ALT-first, REF-second.

1) can you confirm this ?
2) WWWWHYYYYYYYYYYYYYYY ?

#ukbiobank #bgen #bioinformatics

GWAS Catalog @[email protected]

2024-11-22

Did you know you can access (if provided by authors, please do!) COHORT information?
www.ebi.ac.uk/gwas/ -> Download -> Files -> Studies. As shown in the figure,
#UKBiobank is the biggest contributor!

#ukbiobank

Gen-ethisches Netzwerk e.V. @[email protected]

2024-10-30

Die #UKBiobank ist eine öffentlich finanzierte Forschungsdatenbank in Großbritannien: sie verknüpft die #DNA-Daten von 500.000 Brit*innen mit Daten zu Verhalten, sozialem Status und Gesundheit – eigentlich soll sie dazu dienen Krankheitsursachen zu ergründen und Therapien zu entwickeln. (2/5)

#ukbiobank #dna

Bastian Greshake Tzovaras @[email protected]

2024-10-26

In light of the latest "race science" genetics thing, I've taken some time to expand the #Wikipedia article on #UKBiobank - to collect some of the criticisms that have been raised over the years but that seemed quite absent.

https://en.wikipedia.org/wiki/UK_Biobank#Criticism

@alesssia @mbaudis @marcrr Let me know if I missed something!

(Also see the diff at https://en.wikipedia.org/w/index.php?title=UK_Biobank&diff=1253586002&oldid=1251815251)

#wikipedia #ukbiobank

Marc Robinson-Rechavi @[email protected]

2024-10-26

@gedankenstuecke @gvwilson I went back to Xitter to screenshot what I wrote about those at the time. #UKBiobank

#ukbiobank

AutisticMumTo3 @[email protected]

2024-10-18

‘Race science’ group say they accessed sensitive UK health data | Race | The Guardian
https://www.theguardian.com/world/2024/oct/17/race-science-group-say-they-accessed-sensitive-uk-health-data

#Race
#Racism
#RaceScience
#Eugenics
#ScientificRacism
#NHS
#UKBioBank
#HopeNotHate
#HumanDiversityFoundation
#Data

#race #racism #racescience #eugenics #scientificracism #nhs

Lazarou Monkey Terror 🚀💙🌈 @[email protected]

2024-10-17

Creepy tech bros and their desire to create a world of all-white Daughter-wives....

Someone white and male no doubt thought giving these creeps our sensitive data was in the Public interest. I think this person needs to explain themselves, whether they were tricked or not.

https://www.theguardian.com/world/2024/oct/17/race-science-group-say-they-accessed-sensitive-uk-health-data

#UKBiobank #HumanDiversityFoundation #WhiteNationalism

#ukbiobank #humandiversityfoundation #whitenationalism

Benjamin Carr, Ph.D. 👨🏻‍💻🧬 @[email protected]

2024-05-20

#Proteins in #blood could provide early #cancer warning ‘by more than seven years’
Proteins in the blood could warn people of cancer more than seven years before it is diagnosed. #Scientists at the University of Oxford studied blood samples from more than 44,000 people in the #UKBiobank, including over 4,900 people who subsequently had a cancer diagnosis.
Study identifies 618 proteins linked to 19 types of cancer, which could lead to much earlier detection
https://www.theguardian.com/society/article/2024/may/15/proteins-blood-cancer-warning-seven-years-study

#proteins #blood #cancer #scientists #ukbiobank

Pierre Lindenbaum @[email protected]

2024-03-11

asking for AntoineRimbert@twitter https://twitter.com/AntoineRimbert/status/1767222542886953172 "I've been searching around for a file defining: "pvcf_blocks" in UKB-RAP for the pVCF 500k WGS. We did not get any answer from the community forum. Any help would be highly appreciated !" #ukbiobank

#ukbiobank

Pierre Lindenbaum @[email protected]

2024-02-20

https://afb.ukbiobank.ac.uk/ "The UK Biobank Allele Frequency Browser is a resource of variant allele frequencies and is being made publicly available." #ukbiobank #genetics #genomics

#ukbiobank #genetics #genomics

Pierre Lindenbaum @[email protected]

2023-11-13

https://www.ukbiobank.ac.uk/learn-more-about-uk-biobank/news/response-to-highly-misleading-article-in-the-observer "UKBiobank: Response to highly misleading article in The Observer" #ukbiobank

#ukbiobank