Skip to content

CT-LDSC (Multistudy, Migraine)

I applied cross-trait linkage disequilibrium score regression1 to estimate genetic correlation between different studies of migraine. The aim was to look for evidence of whether the different migraine different GWAS were measuring the same underlying pathological entity. The results are below:

p1 p2 rg se z p gcov_int gcov_int_se
Million_Veterans UK_Biobank 0.8258 0.04574 18.06 7.154e-73 0.02644 0.006183

The genetic correlation between the UK Biobank2 and Million Veterans3 GWAS of Migraine exceeds 0.8. This suggests that the two GWAS are measureing closely related pathological entities.

  1. Brendan Bulik-Sullivan, Hilary K Finucane, Verneri Anttila, Alexander Gusev, Felix R Day, Po-Ru Loh, ReproGen Consortium, Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Laramie Duncan, and others. An atlas of genetic correlations across human diseases and traits. Nature Genetics, 47(11):1236–1241, 2015. URL: https://pmc.ncbi.nlm.nih.gov/articles/PMC4797329/. ↩

  2. UK Biobank Whole-Genome Sequencing Consortium and others. Whole-genome sequencing of 490,640 UK Biobank participants. Nature, 645(8081):692, 2025. URL: https://www.nature.com/articles/s41586-025-09272-9. ↩

  3. Anurag Verma, Jennifer E Huffman, Alex Rodriguez, Mitchell Conery, Molei Liu, Yuk-Lam Ho, Youngdae Kim, David A Heise, Lindsay Guare, Vidul Ayakulangara Panickan, and others. Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program. Science, 385(6706):eadj1182, 2024. URL: https://www.science.org/doi/10.1126/science.adj1182. ↩