Multi-ancestry GWAS of major depression aids locus discovery, fine-mapping, gene prioritisation, and causal inference
Xiangrui Meng, Georgina Navoly, Olga Giannakopoulou, Daniel F. Levey, Dóra Koller, Gita A. Pathak, Nastassja Koen, Kuang Lin, Miguel E. Rentería, Yanzhe Feng, J. Michael Gaziano, Dan Joseph Stein, Heather J. Zar, Megan L. Campbell, David A. van Heel, Bhavi Trivedi, Sarah Finer, Andrew McQuillin, Nicholas Bass, V. Kartik Chundru, Hilary C. Martin, Qin Huang, Maria Valkovskaya, Po‐Hsiu Kuo, Hsi‐Chung Chen, Shih‐Jen Tsai, Yu‐Li Liu, Kenneth S. Kendler, Roseann E. Peterson, Na Cai, Yu Fang, Srijan Sen, Laura J. Scott, Margit Burmeister, Ruth J. F. Loos, Michael Preuß, Ky’Era V. Actkins, Lea K. Davis, Monica Uddin, Agaz H. Wani, Derek E. Wildman, Robert J. Ursano, Ronald C. Kessler, Masahiro Kanai, Yukinori Okada, Saori Sakaue, Jill A. Rabinowitz, Brion S. Maher, George R. Uhl, William W. Eaton, Carlos S. Cruz-Fuentes, Gabriela Ariadna Martínez-Levy, Adrián I. Campos, Iona Y. Millwood, Zhengming Chen, Liming Li, Sylvia Wassertheil‐Smoller, Yunxuan Jiang, Chao Tian, Nicholas G. Martin, Brittany L. Mitchell, Enda M. Byrne, Naomi R. Wray, Swapnil Awasthi, Jonathan R. I. Coleman, Stephan Ripke, Tamar Sofer, Robin Walters, Renato Polimanti, Erin C. Dunn, Murray B. Stein, Joel Gelernter, Cathryn M. Lewis, Karoline Kuchenbaecker (2022). Multi-ancestry GWAS of major depression aids locus discovery, fine-mapping, gene prioritisation, and causal inference. , DOI: https://doi.org/10.1101/2022.07.20.500802.
