Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals @RobertHillary, @dannigadd, and colleagues! Amazing paper! https://t.co/TC2Dg8NdAQ
Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals.
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Jul 2023 – Oct 2023Where it's discussed
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YouTube1 videos
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What people are saying
The overall tone reflects a cautious appreciation of the study's thorough approach, with comments like 'amazing paper' and references to expanding biobank resources. The use of words like 'robust,' 'longitudinal,' and mentions of specific disease states convey recognition of its scientific impact, while the moderate agreement and engagement scores highlight genuine interest without overly enthusiastic or dismissive attitudes.
Many discussions acknowledge the importance and robustness of the research, with some explicitly supporting its findings and potential implications.
The discussions show a moderate level of curiosity about the study’s methodology and significance, but they remain mostly informational rather than emotionally charged.
Participants are engaging by referencing specific details such as the number of disease states studied and the cohort in Scotland, indicating closer reading and interest.
The discussions hint at the potential influence of this research on future biomedical studies or clinical applications, recognizing its value in understanding disease mechanisms.
Abstract in brief
- This study investigates how DNA methylation, an epigenetic mechanism, is related to the presence and development of various common diseases by analyzing blood samples from over 18,000 Scottish individuals.
- The researchers looked at over 750,000 CpG sites in the genome to find associations between methylation patterns and 14 existing (prevalent) diseases, as well as the future risk (incidence) of 19 diseases, including major causes of death like COVID-19.
- The analysis accounted for factors like age, sex, lifestyle, and blood cell composition to ensure that the findings accurately reflect the relationship between methylation and disease risk, with data collected through questionnaires and health records up to October 2020.
Top posts
Most liked on X and Bluesky@RobertHillary's latest paper out now in @PLOSMedicine - an EWAS of 19 incident and prevalent disease outcomes in @genscot To join GS: https://t.co/DLFYD15VeB The paper: https://t.co/HwfxEeFpq1 https://t.co/8eFxr72Pwm
In an epigenome-wide association study using population-based linked records of over 18,000 people in Scotland, Robert F. Hillary and colleagues explore how differential DNA methylation correlates with incident and prevalent disease states. @RobertHillary https://t.co/zsjykhU4fY https://t.co/a1btAUjC0h
@MarioniGroup 4/4 ...and with expanding biobank resources, more consistent and unified approaches will be required for future studies. Read the full study in this @PLOSMedicine publication https://t.co/LEyNuchzNy
Análisis de epigenoma amplio en sangre de 19 estados de enfermedad comunes: estudio de cohorte longitudinal ligado a la población en 18.413 individuos escoceses https://t.co/ex0hK661NH PMID 37410739
RT @MarioniGroup: @RobertHillary's latest paper out now in @PLOSMedicine - an EWAS of 19 incident and prevalent disease outcomes in @gensco…
All mentions
Blood-based Epigenome Analysis of 19 Common Diseases in a Scottish Cohort
This study investigates DNA methylation's relationship with disease presence and progression using blood samples from over 18,000 individuals, analyzing over 750,000 methylation sites related to 14 existing and 19…
RT @RevistaMFSamfyc: Análisis de epigenoma amplio en sangre de 19 estados de enfermedad comunes: estudio de cohorte longitudinal ligado a l…
Análisis de epigenoma amplio en sangre de 19 estados de enfermedad comunes: estudio de cohorte longitudinal ligado a la población en 18.413 individuos escoceses https://t.co/ex0hK661NH PMID 37410739
RT @GenomicsEdi: New paper: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohor…
New paper: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals @RobertHillary @MarioniGroup @UoE_CGEM @mrc_hgu @EdinUni_IGC @genscot https://t.co/aJ3woEwhar
@MarioniGroup 4/4 ...and with expanding biobank resources, more consistent and unified approaches will be required for future studies. Read the full study in this @PLOSMedicine publication https://t.co/LEyNuchzNy
Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals | PLOS Medicine https://t.co/RQTUP1BRVg
RT @MarioniGroup: @RobertHillary's latest paper out now in @PLOSMedicine - an EWAS of 19 incident and prevalent disease outcomes in @gensco…
RT @MarioniGroup: @RobertHillary's latest paper out now in @PLOSMedicine - an EWAS of 19 incident and prevalent disease outcomes in @gensco…
@RobertHillary's latest paper out now in @PLOSMedicine - an EWAS of 19 incident and prevalent disease outcomes in @genscot To join GS: https://t.co/DLFYD15VeB The paper: https://t.co/HwfxEeFpq1 https://t.co/8eFxr72Pwm
Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals #science #publication #research #journal https://t.co/rclbn31R48
RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…
RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…
RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…
RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…
RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…
Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals @RobertHillary, @dannigadd, and colleagues! Amazing paper! https://t.co/TC2Dg8NdAQ
Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals #science #publication #research #publications https://t.co/UR0kZOwCAT
In an epigenome-wide association study using population-based linked records of over 18,000 people in Scotland, Robert F. Hillary and colleagues explore how differential DNA methylation correlates with incident and prevalent disease states. @RobertHillary https://t.co/zsjykhU4fY https://t.co/a1btAUjC0h