Ontology highlight
ABSTRACT:
SUBMITTER: Winsvold BS
PROVIDER: S-EPMC4821079 | biostudies-literature | 2015 Jun
REPOSITORIES: biostudies-literature
Winsvold Bendik S BS Nelson Christopher P CP Malik Rainer R Gormley Padhraig P Anttila Verneri V Vander Heiden Jason J Elliott Katherine S KS Jacobsen Line M LM Palta Priit P Amin Najaf N de Vries Boukje B Hämäläinen Eija E Freilinger Tobias T Ikram M Arfan MA Kessler Thorsten T Koiranen Markku M Ligthart Lannie L McMahon George G Pedersen Linda M LM Willenborg Christina C Won Hong-Hee HH Olesen Jes J Artto Ville V Assimes Themistocles L TL Blankenberg Stefan S Boomsma Dorret I DI Cherkas Lynn L Davey Smith George G Epstein Stephen E SE Erdmann Jeanette J Ferrari Michel D MD Göbel Hartmut H Hall Alistair S AS Jarvelin Marjo-Riitta MR Kallela Mikko M Kaprio Jaakko J Kathiresan Sekar S Lehtimäki Terho T McPherson Ruth R März Winfried W Nyholt Dale R DR O'Donnell Christopher J CJ Quaye Lydia L Rader Daniel J DJ Raitakari Olli O Roberts Robert R Schunkert Heribert H Schürks Markus M Stewart Alexandre F R AF Terwindt Gisela M GM Thorsteinsdottir Unnur U van den Maagdenberg Arn M J M AM van Duijn Cornelia C Wessman Maija M Kurth Tobias T Kubisch Christian C Dichgans Martin M Chasman Daniel I DI Cotsapas Chris C Zwart John-Anker JA Samani Nilesh J NJ Palotie Aarno A
Neurology. Genetics 20150601 1
<h4>Objective</h4>To apply genetic analysis of genome-wide association data to study the extent and nature of a shared biological basis between migraine and coronary artery disease (CAD).<h4>Methods</h4>Four separate methods for cross-phenotype genetic analysis were applied on data from 2 large-scale genome-wide association studies of migraine (19,981 cases, 56,667 controls) and CAD (21,076 cases, 63,014 controls). The first 2 methods quantified the extent of overlapping risk variants and assess ...[more]