Evidence map›Paper›PMID 34696705›Full record

ArticleEpigenetics2022

An investigation into DNA methylation patterns associated with risk preference in older individuals.

Laura J Smyth, Sharon M Cruise, Jianjun Tang, Ian Young, Bernadette McGuinness, Frank Kee, Amy Jayne McKnight, Northern Ireland COhort for the Longitudinal study of Ageing collaborative group

Open access · hybridAbstract read
In one paragraph

Article in Epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Epigenetic Clocks Relate to 4 Age-related Health Outcomes Similarly Across 3 Countries.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Laura J SmythEpidemiology and Public Health Research Group, Centre for Public Health, Queen's University Belfast, Northern Ireland, UK.ORCID 0000-0001-6419-4826
Sharon M CruiseEpidemiology and Public Health Research Group, Centre for Public Health, Queen's University Belfast, Northern Ireland, UK.ORCID 0000-0003-0185-4879
Jianjun TangSchool of Agricultural Economics and Rural Development, Renmin University of China, Beijing, China.ORCID 0000-0002-6994-2093
Ian YoungEpidemiology and Public Health Research Group, Centre for Public Health, Queen's University Belfast, Northern Ireland, UK.
Bernadette McGuinnessEpidemiology and Public Health Research Group, Centre for Public Health, Queen's University Belfast, Northern Ireland, UK.
Frank KeeEpidemiology and Public Health Research Group, Centre for Public Health, Queen's University Belfast, Northern Ireland, UK.ORCID 0000-0002-0606-8167
Amy Jayne McKnightEpidemiology and Public Health Research Group, Centre for Public Health, Queen's University Belfast, Northern Ireland, UK.ORCID 0000-0002-7482-709X
Northern Ireland COhort for the Longitudinal study of Ageing collaborative group
Queen's University Belfast · GBRenmin University of China · CN

Funding

Social Circumstances and Epigenomics Promoting Health in Three CountriesR01AG068937 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M, FAUL, JESSICA · 2020 to 2025
$2.9M
Integrating Genetics and Social Sciences Annual ConferenceR13AG062366 · NIA · UNIVERSITY OF COLORADO · PI BOARDMAN, JASON D · 2018 to 2022
$60k
Medical Research Council MC_PC_20026NIA NIH HHS R01 AG068937NIA NIH HHS R13 AG062366Wellcome Trust
6 · The paper itself

Abstract

Risk preference is a complex trait governed by psycho-social, environmental and genetic determinants. We aimed to examine how an individual's risk preference associates with their epigenetic profile.Risk preferences were ascertained by asking participants of the Northern Ireland COhort for the Longitudinal study of Ageing to make a series of choices between hypothetical income scenarios. From these, four risk preference categories were derived, ranging from risk-averse to risk-seeking. Illumina's Infinium High-Density Methylation Assay was used to evaluate the status of 862,927 CpGs.Risk preference and DNA methylation data were obtained for 1,656 individuals. The distribution of single-site DNA methylation levels between risk-averse and risk-seeking individuals was assessed whilst adjusting for age, sex and peripheral white cell counts. In this discovery cohort, 55 CpGs were identified with significantly different levels of methylation (p≤x10

Indexed as

DNA MethylationGenome-Wide Association StudyAgedBiomarkersEpigenesis, GeneticHumansLongitudinal StudiesBiomarkersAgeepigeneticsgenesmethylationrisk-preference

Identifiers

PMID34696705
PMCPMC9542846
OpenAlexW3210658681

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.