Literature DB >> 32968778

Functional gene networks reveal distinct mechanisms segregating in migraine families.

Andreas H Rasmussen1, Lisette J A Kogelman1, David M Kristensen1, Mona Ameri Chalmer1, Jes Olesen1, Thomas Folkmann Hansen1,2.   

Abstract

Migraine is the most common neurological disorder worldwide and it has been shown to have complex polygenic origins with a heritability of estimated 40-70%. Both common and rare genetic variants are believed to underlie the pathophysiology of the prevalent types of migraine, migraine with typical aura and migraine without aura. However, only common variants have been identified so far. Here we identify for the first time a gene module with rare mutations through a systems genetics approach integrating RNA sequencing data from brain and vascular tissues likely to be involved in migraine pathology in combination with whole genome sequencing of 117 migraine families. We found a gene module in the visual cortex, based on single nuclei RNA sequencing data, that had increased rare mutations in the migraine families and replicated this in a second independent cohort of 1930 patients. This module was mainly expressed by interneurons, pyramidal CA1, and pyramidal SS cells, and pathway analysis showed association with hormonal signalling (thyrotropin-releasing hormone receptor and oxytocin receptor signalling pathways), Alzheimer's disease pathway, serotonin receptor pathway and general heterotrimeric G-protein signalling pathways. Our results demonstrate that rare functional gene variants are strongly implicated in the pathophysiology of migraine. Furthermore, we anticipate that the results can be used to explain the critical mechanisms behind migraine and potentially improving the treatment regime for migraine patients.
© The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain.

Entities:  

Keywords:  complex trait; gene-gene interaction; genetic network; migraine; transcriptomics

Year:  2020        PMID: 32968778      PMCID: PMC7780491          DOI: 10.1093/brain/awaa242

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


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