Ontology highlight
ABSTRACT:
SUBMITTER: Weng LC
PROVIDER: S-EPMC5595875 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
Weng Lu-Chen LC Lunetta Kathryn L KL Müller-Nurasyid Martina M Smith Albert Vernon AV Thériault Sébastien S Weeke Peter E PE Barnard John J Bis Joshua C JC Lyytikäinen Leo-Pekka LP Kleber Marcus E ME Martinsson Andreas A Lin Henry J HJ Rienstra Michiel M Trompet Stella S Krijthe Bouwe P BP Dörr Marcus M Klarin Derek D Chasman Daniel I DI Sinner Moritz F MF Waldenberger Melanie M Launer Lenore J LJ Harris Tamara B TB Soliman Elsayed Z EZ Alonso Alvaro A Paré Guillaume G Teixeira Pedro L PL Denny Joshua C JC Shoemaker M Benjamin MB Van Wagoner David R DR Smith Jonathan D JD Psaty Bruce M BM Sotoodehnia Nona N Taylor Kent D KD Kähönen Mika M Nikus Kjell K Delgado Graciela E GE Melander Olle O Engström Gunnar G Yao Jie J Guo Xiuqing X Christophersen Ingrid E IE Ellinor Patrick T PT Geelhoed Bastiaan B Verweij Niek N Macfarlane Peter P Ford Ian I Heeringa Jan J Franco Oscar H OH Uitterlinden André G AG Völker Uwe U Teumer Alexander A Rose Lynda M LM Kääb Stefan S Gudnason Vilmundur V Arking Dan E DE Conen David D Roden Dan M DM Chung Mina K MK Heckbert Susan R SR Benjamin Emelia J EJ Lehtimäki Terho T März Winfried W Smith J Gustav JG Rotter Jerome I JI van der Harst Pim P Jukema J Wouter JW Stricker Bruno H BH Felix Stephan B SB Albert Christine M CM Lubitz Steven A SA
Scientific reports 20170912 1
It is unclear whether genetic markers interact with risk factors to influence atrial fibrillation (AF) risk. We performed genome-wide interaction analyses between genetic variants and age, sex, hypertension, and body mass index in the AFGen Consortium. Study-specific results were combined using meta-analysis (88,383 individuals of European descent, including 7,292 with AF). Variants with nominal interaction associations in the discovery analysis were tested for association in four independent st ...[more]