Evidence map›Paper›PMID 39322921›Full record

ArticleGeroScience2025

Large-scale genome-wide interaction analyses on multiple cardiometabolic risk factors to identify age-specific genetic risk factors.

Linjun Ao, Diana van Heemst, Jiao Luo, Maris Teder-Laving, Reedik Mägi, Ruth Frikke-Schmidt, Ko Willems van Dijk, Raymond Noordam

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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.

Linjun AoDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands. l.ao@lumc.nl.ORCID 0000-0002-3009-3274
Diana van HeemstDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden, the Netherlands.
Jiao LuoDepartment of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Maris Teder-LavingEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Reedik MägiEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Ruth Frikke-SchmidtDepartment of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Ko Willems van DijkDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Raymond NoordamDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden, the Netherlands.

Funding

China Scholarship Council 202106240064
6 · The paper itself

Abstract

The genetic landscape of cardiometabolic risk factors has been explored extensively. However, insight in the effects of genetic variation on these risk factors over the life course is sparse. Here, we performed genome-wide interaction studies (GWIS) on different cardiometabolic risk factors to identify age-specific genetic risks. This study included 270,276 unrelated European-ancestry participants from the UK Biobank (54.2% women, a median age of 58 [interquartile range (IQR): 50, 63] years). GWIS models with interaction terms between genetic variants and age were performed on apolipoprotein B (ApoB), low-density lipoprotein-cholesterol (LDL-C), log-transformed triglycerides (TG), body mass index (BMI) and systolic blood pressure (SBP). Replication was subsequently performed in the Copenhagen General Population Study (CGPS) and the Estonian Biobank (EstBB). Multiple lead variants were identified to have genome-wide significant interactions with age (P

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesGenome-Wide Association StudyAdultAgedAge FactorsApolipoprotein B-100Apolipoproteins BBlood PressureBody Mass IndexCholesterol, LDLFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedAPOB protein, humanApolipoprotein B-100Apolipoproteins BCholesterol, LDLTriglyceridesAge-specific effectsCardiometabolic risk factorsGene-age interactionGenome-wide interaction analyses

Identifiers

PMID39322921
PMCPMC12181146

What Socratic holds

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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 Socratic graph.