A vast resource of allelic expression data spanning human tissues

Stephane E. Castel, François Aguet, Pejman Mohammadi, François Aguet, Shankara Anand, Kristin G. Ardlie, Stacey Gabriel, Gad A. Getz, Aaron Graubert, Kane Hadley, Robert E. Handsaker, Katherine H. Huang, Seva Kashin, Xiao Li, Daniel G. MacArthur, Samuel R. Meier, Jared L. Nedzel, Duyen T. Nguyen, Ayellet V. Segrè, Ellen TodresFrançois Aguet, Shankara Anand, Kristin G. Ardlie, Brunilda Balliu, Alvaro N. Barbeira, Alexis Battle, Rodrigo Bonazzola, Andrew Brown, Christopher D. Brown, Stephane E. Castel, Donald F. Conrad, Daniel J. Cotter, Nancy Cox, Sayantan Das, Olivia M. De Goede, Emmanouil T. Dermitzakis, Jonah Einson, Barbara E. Engelhardt, Eleazar Eskin, Tiffany Y. Eulalio, Nicole M. Ferraro, Elise D. Flynn, Laure Fresard, Eric R. Gamazon, Diego Garrido-Martín, Nicole R. Gay, Michael J. Gloudemans, Aaron Graubert, Roderic Guigó, Kane Hadley, Andrew R. Hame, Robert E. Handsaker, Yuan He, Paul J. Hoffman, Farhad Hormozdiari, Lei Hou, Katherine H. Huang, Hae Kyung Im, Brian Jo, Silva Kasela, Seva Kashin, Manolis Kellis, Sarah Kim-Hellmuth, Alan Kwong, Tuuli Lappalainen, Xiao Li, Xin Li, Yanyu Liang, Serghei Mangul, Samuel R. Meier, Pejman Mohammadi, Stephen B. Montgomery, Manuel Muñoz-Aguirre, Daniel C. Nachun, Jared L. Nedzel, Duyen T. Nguyen, Andrew B. Nobel, Meritxell Oliva, Yo Son Park, Yongjin Park, Princy Parsana, Abhiram S. Rao, Ferran Reverter, John M. Rouhana, Chiara Sabatti, Ashis Saha, Ayellet V. Segrè, Andrew D. Skol, Matthew Stephens, Barbara E. Stranger, Benjamin J. Strober, Nicole A. Teran, Ellen Todres, Ana Viñuela, Gao Wang, Xiaoquan Wen, Fred Wright, Valentin Wucher, Yuxin Zou, Pedro G. Ferreira, Gen Li, Marta Melé, Esti Yeger-Lotem, Mary E. Barcus, Debra Bradbury, Tanya Krubit, Jeffrey A. McLean, Liqun Qi, Karna Robinson, Nancy V. Roche, Anna M. Smith, Leslie Sobin, David E. Tabor, Anita Undale, Jason Bridge, Lori E. Brigham, Barbara A. Foster, Bryan M. Gillard, Richard Hasz, Marcus Hunter, Christopher Johns, Mark Johnson, Ellen Karasik, Gene Kopen, William F. Leinweber, Alisa McDonald, Michael T. Moser, Kevin Myer, Kimberley D. Ramsey, Brian Roe, Saboor Shad, Jeffrey A. Thomas, Gary Walters, Michael Washington, Joseph Wheeler, Scott D. Jewell, Daniel C. Rohrer, Dana R. Valley, David A. Davis, Deborah C. Mash, Mary E. Barcus, Philip A. Branton, Leslie Sobin, Laura K. Barker, Heather M. Gardiner, Maghboeba Mosavel, Laura A. Siminoff, Paul Flicek, Maximilian Haeussler, Thomas Juettemann, W. James Kent, Christopher M. Lee, Conner C. Powell, Kate R. Rosenbloom, Magali Ruffier, Dan Sheppard, Kieron Taylor, Stephen J. Trevanion, Daniel R. Zerbino, Nathan S. Abell, Joshua Akey, Lin Chen, Kathryn Demanelis, Jennifer A. Doherty, Andrew P. Feinberg, Kasper D. Hansen, Peter F. Hickey, Lei Hou, Farzana Jasmine, Lihua Jiang, Rajinder Kaul, Muhammad G. Kibriya, Jin Billy Li, Qin Li, Shin Lin, Sandra E. Linder, Stephen B. Montgomery, Meritxell Oliva, Yongjin Park, Brandon L. Pierce, Lindsay F. Rizzardi, Andrew D. Skol, Kevin S. Smith, Michael Snyder, John Stamatoyannopoulos, Barbara E. Stranger, Hua Tang, Meng Wang, Philip A. Branton, Latarsha J. Carithers, Ping Guan, Susan E. Koester, A. Roger Little, Helen M. Moore, Concepcion R. Nierras, Abhi K. Rao, Jimmie B. Vaught, Simona Volpi, Kristin G. Ardlie, Tuuli Lappalainen

Producción científicarevisión exhaustiva

48 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Número de artículo234
PublicaciónGenome Biology
Volumen21
N.º1
DOI
EstadoPublished - sep. 11 2020

Financiación

The GTEx Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health (NIH) and by the National Cancer Institute (NCI), the National Human Genome Research Institute (NHGRI), the National Heart, Lung, and Blood Institute (NHLBI), the National Institute on Drug Abuse (NIDA), the National Institute of Mental Health (NIMH), and the National Institute of Neurological Disorders and Stroke (NINDS). S.E.C. was supported by NHGRI grant 1K99HG009916-01; T.L. and S.E.C. were supported by NIGMS grant R01GM122924 and NIMH grant R01MH101814; T.L. and S.E.C. were supported by NIH contract HHSN2682010000029C; T.L. was supported by NIMH grant R01MH106842 and NIH grants UM1HG008901 and 1U24DK112331. P.M. was supported by the NIH Center for Translational Science Award (CTSA) grants UL1TR002550-01 and 5UL1 TR001114-05.

FinanciadoresNúmero del financiador
National Institutes of Health
National Institute of Mental HealthR01MH101814, R01MH106842
National Institute on Drug Abuse
National Institute on AgingR01AG057422
National Heart, Lung, and Blood Institute
National Human Genome Research InstituteK99HG009916
National Cancer Institute
National Institute of General Medical SciencesHHSN2682010000029C, 5UL1 TR001114-05, 1U24DK112331, UL1TR002550-01, R01GM122924, UM1HG008901
National Institute of Neurological Disorders and Stroke

    ASJC Scopus Subject Areas

    • Ecology, Evolution, Behavior and Systematics
    • Genetics
    • Cell Biology

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