Abstract Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the...
Bibliographic Details
Main Authors: |
Huckins, L. M. (Laura M.),
Dobbyn, A. (Amanda),
Ruderfer, D. M. (Douglas M.),
Hoffman, G. (Gabriel),
Wang, W. (Weiqing),
Pardiñas, A. (Antonio),
Rajagopal, V. M. (Veera M.),
Als, T. D. (Thomas D.),
Nguyen, H. (Hoang),
Girdhar, K. (Kiran),
Boocock, J. (James),
Roussos, P. (Panos),
Fromer, M. (Menachem),
Kramer, R. (Robin),
Domencini, E. (Enrico),
Gamazon, E. (Eric),
Purcell, S. (Shaun),
C. C. (CommonMind Consortium),
T. S. (The Schizophrenia Working Group of the Psychiatric Genomics Consortium),
i. S. (iPSYCH-GEMS Schizophrenia Working Group),
Demontis, D. (Ditte),
Børglum, A. D. (Anders D.),
Walters, J. T. (James T. R.),
O'Donovan, M. C. (Michael C.),
Sullivan, P. (Patrick),
Owen, M. J. (Michael J.),
Devlin, B. (Bernie),
Sieberts, S. K. (Solveig K.),
Cox, N. J. (Nancy J.),
Im, H. K. (Hae Kyung),
Sklar, P. (Pamela),
Stahl, E. A. (Eli A.) |
Format: | Article in Journal/Newspaper
|
Language: | English |
Published: |
Springer Nature
2019
|
Subjects: |
|
Online Access: | http://urn.fi/urn:nbn:fi-fe2020102085760
|