Evidence map›Paper›PMID 33080795›Full record

ArticleNutrients2020

The Causal Effects of Blood Iron and Copper on Lipid Metabolism Diseases: Evidence from Phenome-Wide Mendelian Randomization Study.

Jingqi Zhou, Chang Liu, Michael Francis, Yitang Sun, Moon-Suhn Ryu, Arthur Grider, Kaixiong Ye

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
4.0field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  6. Cuproptosis and Diabetic Osteoporosis: Mechanisms and Therapeutic Prospects.International journal of molecular sciences · 2026
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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

7 authors at 2 institutions in 2 countries.

Jingqi ZhouDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-9961-199X
Chang LiuDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.
Michael FrancisInstitute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-1320-7161
Yitang SunDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-6564-8815
Moon-Suhn RyuDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN 55108, USA.ORCID 0000-0002-9533-9263
Arthur GriderDepartment of Foods and Nutrition, University of Georgia, Athens, GA 30602, USA.
Kaixiong YeDepartment of Genetics, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0003-4658-7292
University of Georgia · USUniversity of Minnesota · US

Funding

T32 Predoctoral training grant in geneticsT32GM007103 · NIGMS · UNIVERSITY OF GEORGIA (UGA) · PI DYER, KELLY A · 1985 to 2021
$5.9M
NIGMS NIH HHS T32 GM007103
6 · The paper itself

Abstract

Blood levels of iron and copper, even within their normal ranges, have been associated with a wide range of clinical outcomes. The available epidemiological evidence for these associations is often inconsistent and suffers from confounding and reverse causation. This study aims to examine the causal clinical effects of blood iron and copper with Mendelian randomization (MR) analyses. Genetic instruments for the blood levels of iron and copper were curated from existing genome-wide association studies. Candidate clinical outcomes were identified based on a phenome-wide association study (PheWAS) between these genetic instruments and a wide range of phenotypes in 310,999 unrelated individuals of European ancestry from the UK Biobank. All signals passing stringent correction for multiple testing were followed by MR analyses, with replication in independent data sources where possible. We found that genetically predicted higher blood levels of iron and copper are both associated with lower risks of iron deficiency anemia (odds ratio (OR) = 0.75, 95% confidence interval (CI): 0.67-0.85,

Indexed as

Genome-Wide Association StudyMendelian Randomization AnalysisPhenotypeAnemia, Iron-DeficiencyCholesterolCholesterol, LDLCopperFemaleHumansIronLipid MetabolismLipid Metabolism DisordersMaleOsteoarthritisPolymorphism, Single NucleotideRiskCholesterolCholesterol, LDLCopperIroncopperironlipid metabolism disorderMendelian randomizationphenome-wide association study

Identifiers

PMID33080795
PMCPMC7603077
OpenAlexW3093155806

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.