Fang Chen, Xingyan Wang, Seon-Kyeong Jang, Bryan C Quach, J Dylan Weissenkampen, Chachrit Khunsriraksakul, Lina Yang, Renan Sauteraud, Christine M Albert, Nicholette D D Allred, Donna K Arnett, Allison E Ashley-Koch, Kathleen C Barnes, R Graham Barr, Diane M Becker, Lawrence F Bielak, Joshua C Bis, John Blangero, Meher Preethi Boorgula, Daniel I Chasman, Sameer Chavan, Yii-Der I Chen, Lee-Ming Chuang, Adolfo Correa, Joanne E Curran, Sean P David, Lisa de Las Fuentes, Ranjan Deka, Ravindranath Duggirala, Jessica D Faul, Melanie E Garrett, Sina A Gharib, Xiuqing Guo, Michael E Hall, Nicola L Hawley, Jiang He, Brian D Hobbs, John E Hokanson, Chao A Hsiung, Shih-Jen Hwang, Thomas M Hyde, Marguerite R Irvin, Andrew E Jaffe, Eric O Johnson, Robert Kaplan, Sharon L R Kardia, Joel D Kaufman, Tanika N Kelly, Joel E Kleinman, Charles Kooperberg, I-Te Lee, Daniel Levy, Sharon M Lutz, Ani W Manichaikul, Lisa W Martin, Olivia Marx, Stephen T McGarvey, Ryan L Minster, Matthew Moll, Karine A Moussa, Take Naseri, Kari E North, Elizabeth C Oelsner, Juan M Peralta, Patricia A Peyser, Bruce M Psaty, Nicholas Rafaels, Laura M Raffield, Muagututi'a Sefuiva Reupena, Stephen S Rich, Jerome I Rotter, David A Schwartz, Aladdin H Shadyab, Wayne H-H Sheu, Mario Sims, Jennifer A Smith, Xiao Sun, Kent D Taylor, Marilyn J Telen, Harold Watson, Daniel E Weeks, David R Weir, Lisa R Yanek, Kendra A Young, Kristin L Young, Wei Zhao, Dana B Hancock, Bibo Jiang, Scott Vrieze, Dajiang J Liu
Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods...
January 26, 2023: Nature Genetics