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Article

Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.

Computers in biology and medicine - 1 Jun 2026

Alfayyadh Mohammed M, Maksemous Neven, Sutherland Heidi G, Lea Rodney A, Griffiths Lyn R

Abstract excerpt

BACKGROUND: Familial Hemiplegic migraine (FHM) is a rare migraine subtype characterised by transient unilateral motor weakness. Although familial forms are associated with variants in CACNA1A, ATP1A2, and SCN1A genes, many cases remain genetically unexplained, suggesting contributions from additional rare variations including single-nucleotide variants (SNVs) and copy-number variants (CNVs). METHODS: Whole-exome...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 42033889
DOI: 10.1016/j.compbiomed.2026.111699

Genes

ATP1A2
CACNA1A
SCN1A

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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