PLoS Med July 2023 PMID 37410739

Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals.

Robert F Hillary, Daniel L McCartney, Hannah M Smith, Elena Bernabeu, Danni A Gadd, Aleksandra D Chybowska, Yipeng Cheng, Lee Murphy, Nicola Wrobel, Archie Campbell, Rosie M Walker, Caroline Hayward, Kathryn L Evans, Andrew M McIntosh, Riccardo E Marioni

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Mentions

29
Peak: 16 in Jul 2023
across 4 sources since Jul 2023

Extended reach

75,119
potential audience

Total likes

23

Video views

5

Mentions per month

Jul 2023 – Oct 2023

Where it's discussed

  • X / Twitter18 posts
  • News8 articles
  • Blogs2 articles
  • YouTube1 videos

AI synopsis

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.

AgreementModerate agreement

Many discussions acknowledge the importance and robustness of the research, with some explicitly supporting its findings and potential implications.

InterestModerate interest

The discussions show a moderate level of curiosity about the study’s methodology and significance, but they remain mostly informational rather than emotionally charged.

EngagementModerate engagement

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.

ImpactModerate impact

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
Hannah Went
@EverythingEpi · X

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

Jul 7, 2023 · 14 likes · 5 shares · 556 followers View post →
MarioniGroup
@MarioniGroup · X

@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

Jul 11, 2023 · 6 likes · 2 shares · 1,013 followers View post →
PLOS Medicine
@PLOSMedicine · X

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

Jul 6, 2023 · 1 like · 58,010 followers View post →
Biomarkers of Aging Consortium
@agingbiomarkers · X

@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

Jul 15, 2023 · 1 like · 2,374 followers View post →
Revista MFAndalucia
@RevistaMFSamfyc · X

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

Aug 22, 2023 · 1 like · 1 share · 722 followers View post →
Andrew McIntosh
@mcintosh2001 · X

RT @MarioniGroup: @RobertHillary's latest paper out now in @PLOSMedicine - an EWAS of 19 incident and prevalent disease outcomes in @gensco…

Jul 11, 2023 · 2 shares · 2,409 followers View post →

All mentions

Antonio Manteca
@amango30 · X

RT @RevistaMFSamfyc: Análisis de epigenoma amplio en sangre de 19 estados de enfermedad comunes: estudio de cohorte longitudinal ligado a l…

Aug 23, 2023 · 1 share · 139 followers View post →
Revista MFAndalucia
@RevistaMFSamfyc · X

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

Aug 22, 2023 · 1 like · 1 share · 722 followers View post →
Centre for Genomic and Experimental Medicine
@UoE_CGEM · X

RT @GenomicsEdi: New paper: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohor…

Jul 18, 2023 · 1 share · 744 followers View post →
One Health Genomics Edinburgh
@GenomicsEdi · X

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

Jul 18, 2023 · 1 share · 1,160 followers View post →
Biomarkers of Aging Consortium
@agingbiomarkers · X

@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

Jul 15, 2023 · 1 like · 2,374 followers View post →
Pat Adams
@PathologyPat · X

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

Jul 12, 2023 · 1,514 followers View post →
Andrew McIntosh
@mcintosh2001 · X

RT @MarioniGroup: @RobertHillary's latest paper out now in @PLOSMedicine - an EWAS of 19 incident and prevalent disease outcomes in @gensco…

Jul 11, 2023 · 2 shares · 2,409 followers View post →
MarioniGroup
@MarioniGroup · X

RT @MarioniGroup: @RobertHillary's latest paper out now in @PLOSMedicine - an EWAS of 19 incident and prevalent disease outcomes in @gensco…

Jul 11, 2023 · 2 shares · 1,013 followers View post →
MarioniGroup
@MarioniGroup · X

@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

Jul 11, 2023 · 6 likes · 2 shares · 1,013 followers View post →
Life Science Journal Content
@lsn_jc · X

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

Jul 10, 2023 · 263 followers View post →
Janitza Montalvo-Ortiz
@JanitzaMontalvo · X

RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…

Jul 7, 2023 · 5 shares · 1,231 followers View post →
Jenny van Dongen
@jenny_vandongen · X

RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…

Jul 7, 2023 · 5 shares · 631 followers View post →
TruDiagnostic
@TruDiagnostic · X

RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…

Jul 7, 2023 · 5 shares · 1,333 followers View post →
Danni Gadd
@dannigadd · X

RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…

Jul 7, 2023 · 5 shares · 728 followers View post →
Jeff Kildahl Ⓥ
@TheMadSwede · X

RT @EverythingEpi: Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of…

Jul 7, 2023 · 5 shares · 406 followers View post →
Hannah Went
@EverythingEpi · X

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

Jul 7, 2023 · 14 likes · 5 shares · 556 followers View post →
Abstream
@abstreamme · X

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

Jul 7, 2023 · 789 followers View post →
PLOS Medicine
@PLOSMedicine · X

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

Jul 6, 2023 · 1 like · 58,010 followers View post →