Evidence map›Paper›PMID 35606419›Full record

ArticleNature neuroscience2022

Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging.

Chaoyue Wang, Aurea B Martins-Bach, Fidel Alfaro-Almagro, Gwenaëlle Douaud, Johannes C Klein, Alberto Llera, Cristiana Fiscone, Richard Bowtell, Lloyd T Elliott, Stephen M Smith and 2 more

Abstract read
In one paragraph

Article in Nature neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
  5. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
    Review
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2 more citing papers are in PubMed but not listed here.

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

12 authors.

Chaoyue WangWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK. chaoyue.wang@ndcn.ox.ac.uk.ORCID http://orcid.org/0000-0001-9402-1563
Aurea B Martins-BachWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-7378-0867
Fidel Alfaro-AlmagroWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Gwenaëlle DouaudWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-1981-391X
Johannes C KleinWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Alberto LleraDonders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen, the Netherlands.
Cristiana FisconeSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Richard BowtellSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0001-8656-412X
Lloyd T ElliottDepartment of Statistics and Actuarial Science, Simon Fraser University, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0003-2187-7314
Stephen M SmithWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-8166-069X
Benjamin C Tendler *Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-2095-8665
Karla L Miller *Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK. karla.miller@ndcn.ox.ac.uk.ORCID http://orcid.org/0000-0002-2511-3189

Funding

Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/K006673/1Wellcome TrustWellcome Trust 202788/Z/16/ZWellcome Trust 203139/Z/16/ZWellcome Trust 215573/Z/19/Z
6 · The paper itself

Abstract

A key aim in epidemiological neuroscience is identification of markers to assess brain health and monitor therapeutic interventions. Quantitative susceptibility mapping (QSM) is an emerging magnetic resonance imaging technique that measures tissue magnetic susceptibility and has been shown to detect pathological changes in tissue iron, myelin and calcification. We present an open resource of QSM-based imaging measures of multiple brain structures in 35,273 individuals from the UK Biobank prospective epidemiological study. We identify statistically significant associations of 251 phenotypes with magnetic susceptibility that include body iron, disease, diet and alcohol consumption. Genome-wide associations relate magnetic susceptibility to 76 replicating clusters of genetic variants with biological functions involving iron, calcium, myelin and extracellular matrix. These patterns of associations include relationships that are unique to QSM, in particular being complementary to T2* signal decay time measures. These new imaging phenotypes are being integrated into the core UK Biobank measures provided to researchers worldwide, creating the potential to discover new, non-invasive markers of brain health.

Indexed as

Biological Specimen BanksBrainBrain MappingIronMagnetic Resonance ImagingPhenotypeProspective StudiesUnited KingdomIron

Identifiers

PMID35606419
PMCPMC9174052

What OpenQuestion holds

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Registered trials

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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.