• Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use 

      Liu, Ming; Jiang, Yu; Wedow, Robbee; Li, Yue; Brazel, David M.; Chen, Fang; Datta, Gargi; Davila-Velderrain, Jose; Mitchell, Amy; Skogholt, Anne Heidi; Sivertsen, Børge; Stordal, Eystein; Morken, Gunnar; Kallestad, Håvard; Heuch, Ingrid; Zwart, John-Anker; Fjukstad, Katrine Kveli; Pedersen, Linda Margareth; Johnsen, Marianne Bakke; Skrove, Marit Synnøve; Indredavik, Marit Sæbø; Drange, Ole Kristian; Bjerkeset, Ottar; Børte, Sigrid; Stensland, Synne; Choquet, Hélène; Docherty, Anna R.; Faul, Jessica D.; Foerster, Johanna R.; Fritsche, Lars; Gabrielsen, Maiken Elvestad; Gordon, Scott D.; Haessler, Jeffrey; Hottenga, Jouke-Jan; Huang, Hongyan; Jang, Seon-Kyeong; Jansen, Philip R.; Ling, Yueh; Mägi, Reedik; Matoba, Nana; McMahon, George; Mulas, Antonella; Orrú, Valeria; Palviainen, Teemu; Pandit, Anita; Reginsson, Gunnar W.; Smith, Jennifer A.; Taylor, Amy E.; Turman, Constance; Willemsen, Gonneke; Young, Hannah; Young, Kendra A.; Zajac, Gregory J.M.; Zhao, Wei; Zhou, Wei; Björnsdóttir, Gyda Thora; Boardman, Jason D.; Boehnke, Michael; Boomsma, Dorret I.; Chen, Chu; Davies, Gareth E.; Eaton, Charles B.; Winsvold, Bendik K S; Hveem, Kristian; Vrieze, Scott (Journal article; Peer reviewed, 2019)
      Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery ...
    • Model-based assessment of replicability for genome-wide association meta-analysis 

      McGuire, Daniel; Jiang, Yu; Liu, Mengzhen; Weissenkampen, J. Dylan; Eckert, Scott; Yang, Lina; Chen, Fang; Liu, MengZhen; Wedow, Robbee; Li, Yue; Brazel, David M.; Datta, Gargi; Davila-Velderrain, Jose; Tian, Chao; Zhan, Xiaowei; Choquet, H. éléne; Docherty, Anna R.; Faul, Jessica D.; Foerster, Johanna R.; Fritsche, Lars; Gabrielsen, Maiken Elvestad; Gordon, Scott D.; Haessler, Jeffrey; Hottenga, Jouke-Jan; Huang, Hongyan; Jang, Seon-Kyeong; Jansen, Philip R.; Ling, Yueh; Ma ̈gi, Reedik; Matoba, Nana; McMahon, George; Mulas, Antonella; Orru, Valeria; Palviainen, Teemu; Pandit, Anita; Reginsson, Gunnar W.; Skogholt, Anne Heidi; Smith, Jennifer A.; Taylor, Amy E.; Turman, Constance; Willemsen, Gonneke; Young, Hannah; Young, Kendra A.; Zajac, Gregory J. M.; Zhao, Wei; Zhou, Wei; Bjornsdottir, Gyda; Boardman, Jason D.; Boehnke, Michael; Boomsma, Dorret I.; Chen, Chu; Cucca, Francesco; Davies, Gareth E.; Eaton, Charles B.; Ehringer, Marissa A.; Esko, Tõnu; Fiorillo, Edoardo; Gillespie, Nathan A.; Gudbjartsson, Daniel F.; Haller, Toomas; Harris, Kathleen Mullan; Heath, Andrew C.; Hewitt, John K.; Hickie, Ian B.; Hokanson, John E.; Hopfer, Christian J.; Hunter, David J.; Iacono, William G.; Johnson, Eric O.; Kamatani, Yoichiro; Kardia, Sharon L. R.; Keller, Matthew C.; Kellis, Manolis; Kooperberg, Charles; Kraft, Peter; Krauter, Kenneth S.; Laakso, Markku; Lind, Penelope A.; Loukola, Anu; Lutz, Sharon M.; Madden, Pamela A. F.; Martin, Nicholas G.; McGue, Matt; McQueen, Matthew B.; Medland, Sarah E.; Metspalu, Andres; Mohlke, Karen L.; Nielsen, Jonas B.; Okada, Yukinori; Peters, Ulrike; Polderman, Tinca J. C.; Posthuma, Danielle; Reiner, Alexander P.; Rice, JP; Rimm, Eric; Rose, Richard J.; Runarsdottir, Valgerdur; Stallings, Michael C.; Stanˇca ́kova, Alena; Stefansson, Hreinn; Thai, Khanh K.; Tindle, Hilary A.; Tyrfingsson, Thorarinn; Wall, Tamara L.; Weir, David R.; Weisner, Constance M; Whitfield, John B.; Winsvold, Bendik K S; Yin, Jie; Zuccolo, Luisa; Bierut, Laura J.; Hveem, Kristian; Lee, James J.; Munafo, Marcus R.; Saccone, Nancy L.; Willer, Cristen J; Cornelis, Marilyn C.; David, Sean P.; Hinds, David; Jorgenson, Eric; Kaprio, Jaakko; Stitzel, Jerry A.; Stefansson, Kari; Thorgeirsson, Thorgeir E.; Abecasis, Goncalo; Liu, Dajiang J.; Vrieze, Scott; Berg, Arthur; Jiang, Bibo; Li, Qunhua (Peer reviewed; Journal article, 2021)
      Genome-wide association meta-analysis (GWAMA) is an effective approach to enlarge sample sizes and empower the discovery of novel associations between genotype and phenotype. Independent replication has been used as a ...