TY - JOUR
T1 - Cross-trait analyses with migraine reveal widespread pleiotropy and suggest a vascular component to migraine headache
AU - Siewert, Katherine M
AU - Klarin, Derek
AU - Damrauer, Scott M
AU - Chang, Kyong-Mi
AU - Tsao, Philip S
AU - Assimes, Themistocles L
AU - Davey Smith, George
AU - Voight, Benjamin F
AU - The International Headache Genetics Consortium
A2 - Hansen, Thomas Folkmann
A2 - Olesen, Jes
A2 - Esserlind, Ann-Louise
N1 - © The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association.
PY - 2020/6/1
Y1 - 2020/6/1
N2 - BACKGROUND: Nearly a fifth of the world's population suffer from migraine headache, yet risk factors for this disease are poorly characterized.METHODS: To further elucidate these factors, we conducted a genetic correlation analysis using cross-trait linkage disequilibrium (LD) score regression between migraine headache and 47 traits from the UK Biobank. We then tested for possible causality between these phenotypes and migraine, using Mendelian randomization. In addition, we attempted replication of our findings in an independent genome-wide association study (GWAS) when available.RESULTS: We report multiple phenotypes with genetic correlation (P < 1.06 × 10-3) with migraine, including heart disease, type 2 diabetes, lipid levels, blood pressure, autoimmune and psychiatric phenotypes. In particular, we find evidence that blood pressure directly contributes to migraine and explains a previously suggested causal relationship between calcium and migraine.CONCLUSIONS: This is the largest genetic correlation analysis of migraine headache to date, both in terms of migraine GWAS sample size and the number of phenotypes tested. We find that migraine has a shared genetic basis with a large number of traits, indicating pervasive pleiotropy at migraine-associated loci.
AB - BACKGROUND: Nearly a fifth of the world's population suffer from migraine headache, yet risk factors for this disease are poorly characterized.METHODS: To further elucidate these factors, we conducted a genetic correlation analysis using cross-trait linkage disequilibrium (LD) score regression between migraine headache and 47 traits from the UK Biobank. We then tested for possible causality between these phenotypes and migraine, using Mendelian randomization. In addition, we attempted replication of our findings in an independent genome-wide association study (GWAS) when available.RESULTS: We report multiple phenotypes with genetic correlation (P < 1.06 × 10-3) with migraine, including heart disease, type 2 diabetes, lipid levels, blood pressure, autoimmune and psychiatric phenotypes. In particular, we find evidence that blood pressure directly contributes to migraine and explains a previously suggested causal relationship between calcium and migraine.CONCLUSIONS: This is the largest genetic correlation analysis of migraine headache to date, both in terms of migraine GWAS sample size and the number of phenotypes tested. We find that migraine has a shared genetic basis with a large number of traits, indicating pervasive pleiotropy at migraine-associated loci.
KW - Genetic Pleiotropy
KW - Genome-Wide Association Study
KW - Humans
KW - Migraine Disorders/epidemiology
KW - Phenotype
U2 - 10.1093/ije/dyaa050
DO - 10.1093/ije/dyaa050
M3 - Journal article
C2 - 32306029
SN - 0300-5771
VL - 49
SP - 1022
EP - 1031
JO - International Journal of Epidemiology
JF - International Journal of Epidemiology
IS - 3
ER -