1. A vast resource of allelic expression data spanning human tissues
- Author
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Nancy J. Cox, Sayantan Das, Abhi Rao, Pejman Mohammadi, Alan Kwong, Brandon L. Pierce, Yanyu Liang, Yuxin Zou, Anna M. Smith, Matthew Stephens, Chiara Sabatti, Yuan He, Kasper D. Hansen, Lei Hou, Meritxell Oliva, W. James Kent, Stacey Gabriel, Andrew R. Hame, Tanya Krubit, Gary Walters, Lori E. Brigham, Gao Wang, Kevin S. Smith, Michael J. Gloudemans, Barbara E. Engelhardt, Yongjin Park, Nicole A. Teran, David A. Davis, Thomas Juettemann, Kimberley Ramsey, Fred A. Wright, Lin Chen, Valentin Wucher, Benjamin J. Strober, Duyen T. Nguyen, Eleazar Eskin, Kane Hadley, Deborah C. Mash, Michael Snyder, Sarah Kim-Hellmuth, Laura A. Siminoff, Maghboeba Mosavel, Shin Lin, Richard Hasz, Daniel C. Rohrer, Latarsha J. Carithers, Kevin Myer, Rajinder Kaul, Andrew D. Skol, Bryan Gillard, Dana R. Valley, Philip A. Branton, Stephane E. Castel, Robert E. Handsaker, Debra Bradbury, Meng Wang, Mary Barcus, Xiaoquan Wen, Hua Tang, Daniel J. Cotter, Lihua Jiang, Jason Bridge, Ashis Saha, Gen Li, Susan E. Koester, Qin Li, Mark H. Johnson, Barbara E. Stranger, Jimmie B. Vaught, Hae Kyung Im, Paul Flicek, Marcus Hunter, François Aguet, Elise D. Flynn, Sandra Linder, Nancy Roche, Daniel R. Zerbino, Xiao Li, Barbara A. Foster, Stephen B. Montgomery, Daniel Nachun, Serghei Mangul, Emmanouil T. Dermitzakis, Brian Jo, Simona Volpi, Farzana Jasmine, Scott D. Jewell, Jonah Einson, Tuuli Lappalainen, Farhad Hormozdiari, John M. Rouhana, Ana Viñuela, Daniel G. MacArthur, William F. Leinweber, Gad Getz, Peter Hickey, Eric R. Gamazon, Brunilda Balliu, Jennifer A. Doherty, Christopher D. Brown, Roderic Guigó, Gene Kopen, Rodrigo Bonazzola, Pedro G. Ferreira, Andrew P. Feinberg, Shankara Anand, Helen M. Moore, Paul J. Hoffman, Heather M. Gardiner, Ping Guan, Ferran Reverter, Jin Billy Li, Tiffany Eulalio, Joseph Wheeler, Alvaro N. Barbeira, Jared L. Nedzel, Seva Kashin, Laure Fresard, Lindsay F. Rizzardi, Abhiram Rao, Muhammad G. Kibriya, David Tabor, Leslie H. Sobin, A. Roger Little, Stephen J. Trevanion, Nicole M. Ferraro, Kate R. Rosenbloom, John A. Stamatoyannopoulos, Liqun Qi, Princy Parsana, Ayellet V. Segrè, Dan Sheppard, Nathan S. Abell, Kathryn Demanelis, Manolis Kellis, Silva Kasela, Xin Li, Conner C. Powell, YoSon Park, Michael Washington, Magali Ruffier, Saboor Shad, Christopher Johns, Jeffrey A. Thomas, Andrew Brown, Alisa McDonald, Karna Robinson, Esti Yeger-Lotem, Manuel Muñoz-Aguirre, Kieron Taylor, Marta Melé, Diego Garrido-Martín, Brian Roe, Michael T. Moser, Andrew B. Nobel, Alexis Battle, Maximilian Haeussler, Concepcion R. Nierras, Ellen Karasik, Sam Meier, Anita H. Undale, Ellen Todres, Aaron Graubert, Joshua M. Akey, Jeffrey McLean, Donald F. Conrad, Olivia M. De Goede, Katherine H. Huang, Laura Barker, Kristin G. Ardlie, and Christopher Lee
- Subjects
animal structures ,Future studies ,lcsh:QH426-470 ,Short Report ,Gene Expression ,Genomics ,Computational biology ,Biology ,eQTL ,Polymorphism, Single Nucleotide ,ASE ,Regulatory variation ,03 medical and health sciences ,0302 clinical medicine ,Resource (project management) ,Humans ,SNP ,Allele ,lcsh:QH301-705.5 ,Alleles ,Allele specific ,030304 developmental biology ,0303 health sciences ,Allelic expression ,Genome, Human ,Sequence Analysis, RNA ,Haplotype ,Functional genomics ,Human genetics ,lcsh:Genetics ,Haplotypes ,lcsh:Biology (General) ,Expression data ,Expression quantitative trait loci ,GTEx ,030217 neurology & neurosurgery - Abstract
Allele expression (AE) analysis robustly measures cis-regulatory effects. Here, we present and demonstrate the utility of a vast AE resource generated from the GTEx v8 release, containing 15,253 samples spanning 54 human tissues for a total of 431 million measurements of AE at the SNP level and 153 million measurements at the haplotype level. In addition, we develop an extension of our tool phASER that allows effect sizes of cis-regulatory variants to be estimated using haplotype-level AE data. This AE resource is the largest to date, and we are able to make haplotype-level data publicly available. We anticipate that the availability of this resource will enable future studies of regulatory variation across human tissues.
- Published
- 2020