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Updated: Sep 23, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Genetic analyses identify pleiotropy and causality for blood proteins and highlight Wnt/β-catenin signalling in
Hamzeh M Tanha1, , Dale R Nyholt2
1School of Biomedical Sciences, Faculty of Health, and Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD, Australia. hamzeh.mesriantanha@hdr.qut.edu.au.
Abstract:
Migraine is a common complex disorder with a significant polygenic SNP heritability ([Formula: see text]). Here we utilise genome-wide association study (GWAS) summary statistics to study pleiotropy between blood proteins and migraine under the polygenic model. We estimate [Formula: see text] for 4625 blood protein GWASs and identify 325 unique proteins with a significant [Formula: see text] for use in subsequent genetic analyses. Pleiotropy analyses link 58 blood proteins to migraine risk at genome-wide, gene and/or single-nucleotide polymorphism levels-suggesting shared genetic influences or causal relationships. Notably, the identified proteins are largely distinct from migraine GWAS loci. We show that higher levels of DKK1 and PDGFB, and lower levels of FARS2, GSTA4 and CHIC2 proteins have a significant causal effect on migraine. The risk-increasing effect of DKK1 is particularly interesting-indicating a role for downregulation of β-catenin-dependent Wnt signalling in migraine risk, suggesting Wnt activators that restore Wnt/β-catenin signalling in brain could represent therapeutic tools against migraine.
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