Improved polygenic risk prediction in migraine-first patients

Area of Science:

• Genetics
• Neurology
• Epidemiology

Background:

• Previous SNP-based heritability estimates for migraine range from 11.2% to 14.6%.
• Twin studies suggest higher heritability for migraine, ranging from 30% to 60%.
• A significant portion of migraine heritability remains unexplained, termed 'missing heritability'.

Purpose of the Study:

• To investigate heritability estimates in "migraine-first" individuals.
• To determine if excluding comorbidities at the time of first diagnosis impacts heritability estimates for migraine.

Main Methods:

• Genome-wide association studies (GWAS) were performed using UK Biobank data (N=199,929).
• The study included 6,139 "migraine-first" patients and 193,790 healthy controls.
• SNP-based heritability was calculated using the SumHer method.

Main Results:

• SNP-based heritability for migraine was estimated at 19.37% (all SNPs) and 21.31% (HapMap3 variants).
• These estimates substantially exceed previous findings.
• Identified key risk loci include PRDM16, FHL5, ASTN2, STAT6/LRP1, and SLC24A3; pathways involved retinol metabolism and steroid hormone biosynthesis.

Conclusions:

• Excluding comorbidities at the time of initial diagnosis enhances heritability estimates for migraine.
• This approach improves genetic signal detection and reduces the 'missing heritability' gap in migraine research.
• Focusing on "migraine-first" individuals offers a more precise understanding of migraine's genetic underpinnings.