Evidence map›Paper›PMID 35146471›Full record

ArticleThe lancet. Healthy longevity2021

Epigenetic age acceleration in the emerging burden of cardiometabolic diseases among migrant and non-migrant African populations: the population based cross-sectional RODAM study.

Felix P Chilunga, Peter Henneman, Hannah R Elliott, H Toinét Cronjé, Gagandeep K Walia, Karlijn A C Meeks, Ana Requena-Mendez, Andrea Venema, Silver Bahendeka, Ina Danquah and 5 more

Open access · goldAbstract read
In one paragraph

Article in The lancet. Healthy longevity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Accelerated epigenetic age in hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 11 institutions in 10 countries.

Felix P ChilungaDepartment of Public Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
Peter HennemanDepartment of Clinical Genetics, Amsterdam Reproduction & Development research institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
Hannah R ElliottMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Department of population health sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
H Toinét CronjéSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa.
Gagandeep K WaliaPublic Health Foundation of India, New Delhi, India.
Karlijn A C MeeksCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Ana Requena-MendezBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Global Public Health, Karolinska Institutet, Solna, Sweden.
Andrea VenemaDepartment of Clinical Genetics, Amsterdam Reproduction & Development research institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
Silver BahendekaDepartment of Medicine, MKPGMS-Uganda Martyrs University, Kampala, Uganda.
Ina DanquahHeidelberg Institute of Global Health (HIGH), Universitätsklinikum Heidelberg, Heidelberg, Germany.
Adebowale AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Kerstin Klipstein-GrobuschJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherland; Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Marlien PietersMedical Research Council Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa.
Marcels M A M MannensDepartment of Clinical Genetics, Amsterdam Reproduction & Development research institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
Charles AgyemangDepartment of Public Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
University of Amsterdam · NLBarcelona Institute for Global Health · ESHeidelberg University · DENational Human Genome Research Institute · USNational Institutes of Health · USNorth-West University · ZAPublic Health Foundation of India · INUganda Martyrs University · UGUniversity of Bristol · GBUniversity of Copenhagen · DKUtrecht University · NL

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
Intramural NIH HHS ZIA HG200362Medical Research Council MC_UU_00011/5
6 · The paper itself

Abstract

backgroundAfrican populations are experiencing health transitions due to rapid urbanization and international migration. However, the role of biological aging in this emerging burden of cardiometabolic diseases (CMD) among migrant and non-migrant Africans is unknown. We aimed to examine differences in epigenetic age acceleration (EAA) as measured by four clocks (Horvath, Hannum, PhenoAge and GrimAge) and their associations with cardiometabolic factors among migrant Ghanaians in Europe and non-migrant Ghanaians.

methodsGenome-wide DNA methylation (DNAm) data of 712 Ghanaians from cross-sectional RODAM study were used to quantify EAA. We assessed correlation of DNAmAge measures with chronological age, and then performed linear regressions to determine associations of body mass index (BMI), fasting blood glucose (FBG), blood pressure, alcohol consumption, smoking, physical activity, and one-carbon metabolism nutrients with EAA among migrant and non-migrants. We replicated our findings among 172 rural-urban sibling pairs from India migration study and among 120 native South Africans from PURE-SA-NW study.

findingsWe found that Ghanaian migrants have lower EAA than non-migrants. Within migrants, higher FBG was positively associated with EAA measures. Within non-migrants, higher BMI, and Vitamin B9 (folate) intake were negatively associated with EAA measures. Our findings on FBG, BMI and folate were replicated in the independent cohorts.

interpretationOur study shows that migration is negatively associated with EAA among Ghanaians. Moreover, cardiometabolic factors are differentially associated with EAA within migrant and non-migrant subgroups. Our results call for context-based interventions for CMD among transitioning populations that account for effects of biological aging.

fundingEuropean Commission.

Indexed as

Cardiovascular DiseasesAccelerationCross-Sectional StudiesEpigenesis, GeneticFolic AcidGhanaHumansPrevalenceFolic Acid

Identifiers

PMID35146471
PMCPMC7612337
OpenAlexW3161339384

What OpenQuestion holds

Textmetadata
LicenceTDM
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.