Evidence map›Paper›PMID 39427026›Full record

SynthesisScientific reports2024

The role of genetically predicted serum iron levels on neurodegenerative and cardiovascular traits.

Wiame Belbellaj, Frida Lona-Durazo, Cinzia Bodano, David Busseuil, Marie-Christyne Cyr, Edoardo Fiorillo, Antonella Mulas, Sylvie Provost, Maristella Steri, Toshiko Tanaka and 10 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

20 authors.

Wiame BelbellajFaculty of Medicine, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Frida Lona-DurazoFaculty of Medicine, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Cinzia BodanoInstitute for Genetic and Biomedical Research, National Research Council (CNR), 09042, Monserrato-Cagliari, Italy.
David BusseuilResearch Centre, Montreal Heart Institute, 5000 Bélanger Street, Montreal, QC, H1T 1C8, Canada.
Marie-Christyne CyrResearch Centre, Montreal Heart Institute, 5000 Bélanger Street, Montreal, QC, H1T 1C8, Canada.
Edoardo FiorilloInstitute for Genetic and Biomedical Research, National Research Council (CNR), 08045, Lanusei, Italy.
Antonella MulasInstitute for Genetic and Biomedical Research, National Research Council (CNR), 08045, Lanusei, Italy.
Sylvie ProvostResearch Centre, Montreal Heart Institute, 5000 Bélanger Street, Montreal, QC, H1T 1C8, Canada.
Maristella SteriInstitute for Genetic and Biomedical Research, National Research Council (CNR), 09042, Monserrato-Cagliari, Italy.
Toshiko TanakaTranslational Gerontology Branch, National Institutes on Aging, Baltimore, MD, USA.
Brett VanderwerffDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA.
Jiongming WangDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA.
Ross P ByrneSmurfit Institute of Genetics, Trinity College Dublin, Dublin, D02 DK07, Republic of Ireland.
Francesco CuccaDepartment of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy.
Marie-Pierre DubéResearch Centre, Montreal Heart Institute, 5000 Bélanger Street, Montreal, QC, H1T 1C8, Canada.
Luigi FerrucciTranslational Gerontology Branch, National Institutes on Aging, Baltimore, MD, USA.
Russell L McLaughlinSmurfit Institute of Genetics, Trinity College Dublin, Dublin, D02 DK07, Republic of Ireland.
Jean-Claude TardifResearch Centre, Montreal Heart Institute, 5000 Bélanger Street, Montreal, QC, H1T 1C8, Canada.
Matthew ZawistowskiDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA.
Sarah A Gagliano TaliunResearch Centre, Montreal Heart Institute, 5000 Bélanger Street, Montreal, QC, H1T 1C8, Canada. sarah.gagliano-taliun@umontreal.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iron is an essential mineral that supports numerous biological functions. Studies have reported associations between iron dysregulation and certain cardiovascular and neurodegenerative diseases, but the direction of influence is not clear. Our goal was to use computational approaches to better understand the role of genetically predicted iron levels on disease risk. We meta-analyzed genome-wide association study summary statistics for serum iron levels from two cohorts and two previous meta-analyses. We then obtained summary statistics from 11 neurodegenerative, cerebrovascular, cardiovascular or lipid traits to assess global and regional genetic correlation between iron levels and these traits. We used two-sample Mendelian randomization (MR) to estimate causal effects. Sex-stratified analyses were also carried out to identify effects potentially differing by sex. Overall, we identified three significant global correlations between iron levels and (i) coronary heart disease, (ii) triglycerides, and (iii) high-density lipoprotein (HDL) cholesterol levels. A total of 194 genomic regions had significant (after correction for multiple testing) local correlations between iron levels and the 11 tested traits. MR analysis revealed two potential causal relationships, between genetically predicted iron levels and (i) total cholesterol or (ii) non-HDL cholesterol. Sex-stratified analyses suggested a potential protective effect of iron levels on Parkinson's disease risk in females, but not in males. Our results will contribute to a better understanding of the genetic basis underlying iron in cardiovascular and neurological health in aging, and to the eventual identification of new preventive interventions or therapeutic avenues for diseases which affect women and men worldwide.

Indexed as

Cardiovascular DiseasesGenome-Wide Association StudyIronMendelian Randomization AnalysisNeurodegenerative DiseasesFemaleGenetic Predisposition to DiseaseHumansMalePolymorphism, Single NucleotideTriglyceridesIronTriglyceridesCardiovascularGenetic correlationMendelian randomization (MR)NeurodegenerationSerum ironSex-stratified

Identifiers

PMID39427026
PMCPMC11490554

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.