| Autor: |
Steve Buyske, Claudia Schurmann, Andrés Moreno-Estrada, Cathy C. Laurie, Ulrike Peters, Yesha Patel, Eimear E. Kenny, Michael Preuss, Hannah Poisner, Kari E. North, Carlos Bustamante, Christopher A. Haiman, Stephanie A. Bien, Anne E. Justice, Katherine K. Nishimura, Yuqing Li, Loic Le Marchand, Unhee Lim, E Stahl, Christopher R. Gignoux, Alexandra Sockell, Paul Norman, Ewa Deelman, Yingchang Lu, Rebecca D. Jackson, Huckins Lm, Gerardo Heiss, Kimberly F. Doheny, Chani J. Hodonsky, Brenna M. Henn, Benyam Hailu, Genevieve L. Wojcik, Jane Romm, Misa Graff, Loos R, Christy L. Avery, Danyu Lin, José Luis Ambite, Kris Young, Eric Boerwinkle, Kathleen C. Barnes, Gillian M. Belbin, Bridget M Lin, Lindsay Fernández-Rhodes, Cecilia A. Laurie, Christian Caberto, Sung-Hyuk Park, Tara C. Matise, Abhishek Vishnu, Loreall Pooler, Ran Tao, Elena P. Sorokin, Ron Do, Lucia A. Hindorff, Sarah C. Nelson, Heather M. Highland, L R Wilkens, Cheryl A. Winkler, Iona Cheng, Acuna-Alonso, Matthew P. Conomos, Myriam Fornage, Xin Sheng, Girish N. Nadkarni, Christopher S. Carlson, Ruth H. Walker, Janina M. Jeff, Jeffrey Haessler, Daniel O. Stram, Sabati C, Sachiko Yoneyama, Jonathan M. Kocarnik, Christina L. Wassel, Timothy A. Thornton, Charles Kooperberg, Veronica Wendy Setiawan, Yao Hu, Sinead Cullina, Canizales-Quinteroes S, Niha Zubair, Melissa A. Richard, Karan Vahi, Karla Sandoval, Marie Verbanck, Erwin P. Bottinger, Alexander P. Reiner |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| DOI: |
10.1101/188094 |
| Popis: |
Summary/AbstractGenome-wide association studies (GWAS) have laid the foundation for investigations into the biology of complex traits, drug development, and clinical guidelines. However, the dominance of European-ancestry populations in GWAS creates a biased view of the role of human variation in disease, and hinders the equitable translation of genetic associations into clinical and public health applications. The Population Architecture using Genomics and Epidemiology (PAGE) study conducted a GWAS of 26 clinical and behavioral phenotypes in 49,839 non-European individuals. Using strategies designed for analysis of multi-ethnic and admixed populations, we confirm 574 GWAS catalog variants across these traits, and find 38 secondary signals in known loci and 27 novel loci. Our data shows strong evidence of effect-size heterogeneity across ancestries for published GWAS associations, substantial benefits for fine-mapping using diverse cohorts, and insights into clinical implications. We strongly advocate for continued, large genome-wide efforts in diverse populations to reduce health disparities. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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