| Literature DB >> 29731251 |
Padhraig Gormley1, Mitja I Kurki1, Marjo Eveliina Hiekkala2, Kumar Veerapen1, Paavo Häppölä3, Adele A Mitchell4, Dennis Lal5, Priit Palta3, Ida Surakka3, Mari Anneli Kaunisto3, Eija Hämäläinen3, Salli Vepsäläinen6, Hannele Havanka7, Hanna Harno8, Matti Ilmavirta9, Markku Nissilä10, Erkki Säkö11, Marja-Liisa Sumelahti12, Jarmo Liukkonen13, Matti Sillanpää14, Liisa Metsähonkala15, Seppo Koskinen16, Terho Lehtimäki17, Olli Raitakari18, Minna Männikkö19, Caroline Ran20, Andrea Carmine Belin20, Pekka Jousilahti16, Verneri Anttila21, Veikko Salomaa16, Ville Artto6, Markus Färkkilä6, Heiko Runz4, Mark J Daly21, Benjamin M Neale1, Samuli Ripatti22, Mikko Kallela6, Maija Wessman23, Aarno Palotie24.
Abstract
Complex traits, including migraine, often aggregate in families, but the underlying genetic architecture behind this is not well understood. The aggregation could be explained by rare, penetrant variants that segregate according to Mendelian inheritance or by the sufficient polygenic accumulation of common variants, each with an individually small effect, or a combination of the two hypotheses. In 8,319 individuals across 1,589 migraine families, we calculated migraine polygenic risk scores (PRS) and found a significantly higher common variant burden in familial cases (n = 5,317, OR = 1.76, 95% CI = 1.71-1.81, p = 1.7 × 10-109) compared to population cases from the FINRISK cohort (n = 1,101, OR = 1.32, 95% CI = 1.25-1.38, p = 7.2 × 10-17). The PRS explained 1.6% of the phenotypic variance in the population cases and 3.5% in the familial cases (including 2.9% for migraine without aura, 5.5% for migraine with typical aura, and 8.2% for hemiplegic migraine). The results demonstrate a significant contribution of common polygenic variation to the familial aggregation of migraine.Entities:
Keywords: GWAS; PRS; disease aggregation; familial aggregation; families; genome-wide association study; hemiplegic migraine; migraine; migraine with aura; polygenic risk score
Mesh:
Year: 2018 PMID: 29731251 PMCID: PMC5967411 DOI: 10.1016/j.neuron.2018.04.014
Source DB: PubMed Journal: Neuron ISSN: 0896-6273 Impact factor: 17.173