Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

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

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

Science Advances · 2022

Read source ↗ All evidence

Summary

This study employed Mendelian randomisation on genome-wide association study data to distinguish causal relationships from genetic correlation between serum biochemical traits and psychiatric disorders. The authors identified strong evidence that C-reactive protein causally influences psychiatric illness, with bidirectional effects across different disorders. Multivariable conditioning suggested the CRP-schizophrenia relationship operates independently of interleukin-6 signaling and body mass index, suggesting distinct shared biological pathways.

UK applicability

The findings are relevant to UK clinical and psychiatric practice, as they identify potential blood-based biomarkers and inflammatory pathways amenable to intervention. However, application would require validation in UK population cohorts and translation into clinical screening or therapeutic strategies.

Key measures

Genetic correlation coefficients between biochemical traits and psychiatric disorders; Mendelian randomisation estimates of causal effects; multivariable conditional analyses adjusting for interleukin-6 signaling and body mass index

Outcomes reported

The study identified widespread genetic correlation between serum biochemical traits and psychiatric disorders, and established causal inference evidence that C-reactive protein (CRP) exerts causal effects on psychiatric illness. CRP demonstrated both protective and risk-increasing effects depending on the specific disorder.

Theme
Nutrition & health
Subject
Gut microbiome & human health
Study type
Research
Study design
Mendelian randomisation / causal inference analysis using genome-wide association study data
Source type
Peer-reviewed study
Status
Published
System type
Human clinical
DOI
10.1126/sciadv.abj8969
Catalogue ID
SNmois82q4-zjhwqk

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.