Evidence map›Paper›PMID 35385317›Full record

ArticleScience advances2022

Genetic estimates of correlation and causality between blood-based biomarkers and psychiatric disorders.

William R Reay, Dylan J Kiltschewskij, Michael P Geaghan, Joshua R Atkins, Vaughan J Carr, Melissa J Green, Murray J Cairns

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 8 pooled it
22.1field-weighted citation impact, top 1% 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

57 citing papers in PubMed, 8 syntheses or guidelines pooled it, 95 citations in OpenAlex.

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  9. Article
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  11. Article
  12. Metabolome Wide Mendelian Randomization Assessing the Causal Relationship Between Serum Metabolites, Cerebrospinal Metabolites, and Aneurysmal Subarachnoid Hemorrhage.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  13. Review
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  15. Utilising genomic association data for causal inference in anorexia nervosa.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  16. Heritability of neonatal acute phase protein levels.Brain, behavior, & immunity - health · 2025
    Article
  17. Article
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  20. Celiac Disease and Skin Diseases: A Bidirectional Mendelian Randomization Study.Clinical, cosmetic and investigational dermatology · 2025
    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

7 authors at 3 institutions in 1 country.

William R ReaySchool of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia.ORCID 0000-0001-7689-2453
Dylan J KiltschewskijSchool of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia.ORCID 0000-0003-0855-8757
Michael P GeaghanSchool of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia.ORCID 0000-0002-4350-8600
Joshua R AtkinsSchool of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia.ORCID 0000-0003-0821-1112
Vaughan J CarrSchool of Psychiatry, University of New South Wales, Randwick, NSW, Australia.ORCID 0000-0002-8907-5804
Melissa J GreenSchool of Psychiatry, University of New South Wales, Randwick, NSW, Australia.ORCID 0000-0002-9361-4874
Murray J CairnsSchool of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia.ORCID 0000-0003-2490-2538
Hunter Medical Research Institute · AUUNSW Sydney · AUUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a long-standing interest in exploring the relationship between blood-based biomarkers and psychiatric disorders, despite their causal role being difficult to resolve in observational studies. In this study, we leverage genome-wide association study data for a large panel of heritable serum biochemical traits to refine our understanding of causal effect in biochemical-psychiatric trait pairings. We observed widespread positive and negative genetic correlation between psychiatric disorders and biochemical traits. Causal inference was then implemented to distinguish causation from correlation, with strong evidence that C-reactive protein (CRP) exerts a causal effect on psychiatric disorders. Notably, CRP demonstrated both protective and risk-increasing effects on different disorders. Multivariable models that conditioned CRP effects on interleukin-6 signaling and body mass index supported that the CRP-schizophrenia relationship was not driven by these factors. Collectively, these data suggest that there are shared pathways that influence both biochemical traits and psychiatric illness.

Indexed as

Genome-Wide Association StudyMental DisordersBiomarkersC-Reactive ProteinHumansMendelian Randomization AnalysisBiomarkersC-Reactive Protein

Identifiers

PMID35385317
PMCPMC8986101
OpenAlexW4226040537

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.