Evidence map›Paper›PMID 35710628›Full record

SynthesisCommunications biology2022

Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT.

Marta R Moksnes, Sarah E Graham, Kuan-Han Wu, Ailin Falkmo Hansen, Sarah A Gagliano Taliun, Wei Zhou, Ketil Thorstensen, Lars G Fritsche, Dipender Gill, Amy Mason and 9 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  13. SPANature communications · 2025
    Article
  14. Genetic Markers of Postmortem Brain Iron.Journal of neurochemistry · 2025
    Article
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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

19 authors at 11 institutions in 6 countries.

Marta R MoksnesK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway. marta.r.moksnes@ntnu.no.ORCID http://orcid.org/0000-0002-2690-5153
Sarah E GrahamDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-1271-2489
Kuan-Han WuDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-4286-4299
Ailin Falkmo HansenK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Sarah A Gagliano TaliunDepartment of Medicine and Department of Neurosciences, Université de Montréal, Montréal, QC, Canada.ORCID http://orcid.org/0000-0003-1306-1868
Wei ZhouAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7719-0859
Ketil ThorstensenDepartment of Clinical Chemistry, St. Olavs hospital Trondheim University Hospital, Trondheim, Norway.
Lars G FritscheDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-2110-1690
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-7312-7078
Amy MasonBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-8019-0777
Francesco CuccaIstituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy.
David SchlessingerLaboratory of Genetics, National Institute on Aging, US National Institutes of Health, Baltimore, MD, USA.
Gonçalo R AbecasisCenter for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-1509-1825
Stephen BurgessBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Bjørn Olav ÅsvoldK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.ORCID http://orcid.org/0000-0003-3837-2101
Jonas B NielsenK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Kristian Hveem *K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Cristen J Willer *K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.ORCID http://orcid.org/0000-0001-5645-4966
Ben M Brumpton *K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway. ben.brumpton@ntnu.no.ORCID http://orcid.org/0000-0002-3058-1059
Norwegian University of Science and Technology · NOUniversity of Michigan · USUniversity of Cambridge · GBBroad Institute · USMichigan Medicine · USMontreal Heart Institute · CANational Institutes of Health · USStatens Serum Institut · DKSt George's, University of London · GBSt Olav's University Hospital · NOUniversity of Sassari · IT

Funding

Using genetics to discover mechanisms of myocardial infarctionR01HL109946 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YUQING Eugene CHEN, Ida Liisa Surakka · 2011 to 2026
$8.9M
British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946Department of Health BRC-1215-20014Medical Research Council MC_UU_00002/7NHLBI NIH HHS R01 HL109946Wellcome TrustWellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

Iron is essential for many biological processes, but iron levels must be tightly regulated to avoid harmful effects of both iron deficiency and overload. Here, we perform genome-wide association studies on four iron-related biomarkers (serum iron, serum ferritin, transferrin saturation, total iron-binding capacity) in the Trøndelag Health Study (HUNT), the Michigan Genomics Initiative (MGI), and the SardiNIA study, followed by their meta-analysis with publicly available summary statistics, analyzing up to 257,953 individuals. We identify 123 genetic loci associated with iron traits. Among 19 novel protein-altering variants, we observe a rare missense variant (rs367731784) in HUNT, which suggests a role for DNAJC13 in transferrin recycling. We further validate recently published results using genetic risk scores for each biomarker in HUNT (6% variance in serum iron explained) and present linear and non-linear Mendelian randomization analyses of the traits on all-cause mortality. We find evidence of a harmful effect of increased serum iron and transferrin saturation in linear analyses that estimate population-averaged effects. However, there was weak evidence of a protective effect of increasing serum iron at the very low end of its distribution. Our findings contribute to our understanding of the genes affecting iron status and its consequences on human health.

Indexed as

Genome-Wide Association StudyIronBiomarkersFerritinsHumansPolymorphism, Single NucleotideTransferrinBiomarkersFerritinsIronTransferrin

Identifiers

PMID35710628
PMCPMC9203493
OpenAlexW4283018900

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.