@article{
 title = {Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions},
 type = {article},
 year = {2020},
 volume = {7},
 id = {49ae955b-76a8-387d-9543-015925796b62},
 created = {2020-10-21T23:59:00.000Z},
 file_attached = {false},
 profile_id = {64f7fb50-d000-335d-a02d-06c5f340a97a},
 last_modified = {2021-04-28T15:28:55.442Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 citation_key = {Sieberts2020a},
 private_publication = {false},
 abstract = {© 2020, The Author(s). The availability of high-quality RNA-sequencing and genotyping data of post-mortem brain collections from consortia such as CommonMind Consortium (CMC) and the Accelerating Medicines Partnership for Alzheimer’s Disease (AMP-AD) Consortium enable the generation of a large-scale brain cis-eQTL meta-analysis. Here we generate cerebral cortical eQTL from 1433 samples available from four cohorts (identifying >4.1 million significant eQTL for >18,000 genes), as well as cerebellar eQTL from 261 samples (identifying 874,836 significant eQTL for >10,000 genes). We find substantially improved power in the meta-analysis over individual cohort analyses, particularly in comparison to the Genotype-Tissue Expression (GTEx) Project eQTL. Additionally, we observed differences in eQTL patterns between cerebral and cerebellar brain regions. We provide these brain eQTL as a resource for use by the research community. As a proof of principle for their utility, we apply a colocalization analysis to identify genes underlying the GWAS association peaks for schizophrenia and identify a potentially novel gene colocalization with lncRNA RP11-677M14.2 (posterior probability of colocalization 0.975).},
 bibtype = {article},
 author = {Sieberts, S.K. and Perumal, T.M. and Carrasquillo, M.M. and Allen, M. and Reddy, J.S. and Hoffman, G.E. and Dang, K.K. and Calley, J. and Ebert, P.J. and Eddy, J. and Wang, X. and Greenwood, A.K. and Mostafavi, S. and Akbarian, S. and Bendl, J. and Breen, M.S. and Brennand, K. and Brown, L. and Browne, A. and Buxbaum, J.D. and Charney, A. and Chess, A. and Couto, L. and Crawford, G. and Devillers, O. and Devlin, B. and Dobbyn, A. and Domenici, E. and Filosi, M. and Flatow, E. and Francoeur, N. and Fullard, J. and Gil, S.E. and Girdhar, K. and Gulyás-Kovács, A. and Gur, R. and Hahn, C.-G. and Haroutunian, V. and Hauberg, M.E. and Huckins, L. and Jacobov, R. and Jiang, Y. and Johnson, J.S. and Kassim, B. and Kim, Y. and Klei, L. and Kramer, R. and Lauria, M. and Lehner, T. and Lewis, D.A. and Lipska, B.K. and Montgomery, K. and Park, R. and Rosenbluh, C. and Roussos, P. and Ruderfer, D.M. and Senthil, G. and Shah, H.R. and Sloofman, L. and Song, L. and Stahl, E. and Sullivan, P. and Visintainer, R. and Wang, J. and Wang, Y.-C. and Wiseman, J. and Xia, E. and Zhang, W. and Zharovsky, E. and Addis, L. and Addo, S.N. and Airey, D.C. and Arnold, M. and Bennett, D.A. and Bi, Y. and Biber, K. and Blach, C. and Bradhsaw, E. and Brennan, P. and Canet-Aviles, R. and Cao, S. and Cavalla, A. and Chae, Y. and Chen, W.W. and Cheng, J. and Collier, D.A. and Dage, J.L. and Dammer, E.B. and Davis, J.W. and Davis, J. and Drake, D. and Duong, D. and Eastwood, B.J. and Ehrlich, M. and Ellingson, B. and Engelmann, B.W. and Esmaeelinieh, S. and Felsky, D. and Funk, C. and Gaiteri, C. and Gandy, S. and Gao, F. and Gileadi, O. and Golde, T. and Grosskurth, S.E. and Gupta, R.R. and Gutteridge, A.X. and Haroutunian, V. and Hooli, B. and Humphryes-Kirilov, N. and Iijima, K. and James, C. and Jung, P.M. and Kaddurah-Daouk, R. and Kastenmuller, G. and Klein, H.-U. and Kummer, M. and Lacor, P.N. and Lah, J. and Laing, E. and Levey, A. and Li, Y. and Lipsky, S. and Liu, Y. and Liu, J. and Liu, Z. and Louie, G. and Lu, T. and Ma, Y. and Matsuoka, Y.Y. and Menon, V. and Miller, B. and Misko, T.P. and Mollon, J.E. and Montgomery, K. and Mukherjee, S. and Noggle, S. and Pao, P.-C. and Pearce, T.Y. and Pearson, N. and Penny, M. and Petyuk, V.A. and Price, N. and Quarless, D.X. and Ravikumar, B. and Ried, J.S. and Ruble, C.L.A. and Runz, H. and Saykin, A.J. and Schadt, E. and Scherschel, J.E. and Seyfried, N. and Shulman, J.M. and Snyder, P. and Soares, H. and Srivastava, G.P. and Stockmann, H. and Taga, M. and Tasaki, S. and Tenenbaum, J. and Tsai, L.-H. and Vasanthakumar, A. and Wachter, A. and Wang, Y. and Wang, H. and Wang, M. and Whelan, C.D. and White, C. and Woo, K.H. and Wren, P. and Wu, J.W. and Xi, H.S. and Yankner, B.A. and Younkin, S.G. and Yu, L. and Zavodszky, M. and Zhang, W. and Zhang, G. and Zhang, B. and Zhu, J. and Omberg, L. and Peters, M.A. and Logsdon, B.A. and De Jager, P.L. and Ertekin-Taner, N. and Mangravite, L.M.},
 doi = {10.1038/s41597-020-00642-8},
 journal = {Scientific Data},
 number = {1}
}

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The availability of high-quality RNA-sequencing and genotyping data of post-mortem brain collections from consortia such as CommonMind Consortium (CMC) and the Accelerating Medicines Partnership for Alzheimer’s Disease (AMP-AD) Consortium enable the generation of a large-scale brain cis-eQTL meta-analysis. Here we generate cerebral cortical eQTL from 1433 samples available from four cohorts (identifying >4.1 million significant eQTL for >18,000 genes), as well as cerebellar eQTL from 261 samples (identifying 874,836 significant eQTL for >10,000 genes). We find substantially improved power in the meta-analysis over individual cohort analyses, particularly in comparison to the Genotype-Tissue Expression (GTEx) Project eQTL. Additionally, we observed differences in eQTL patterns between cerebral and cerebellar brain regions. We provide these brain eQTL as a resource for use by the research community. As a proof of principle for their utility, we apply a colocalization analysis to identify genes underlying the GWAS association peaks for schizophrenia and identify a potentially novel gene colocalization with lncRNA RP11-677M14.2 (posterior probability of colocalization 0.975).","bibtype":"article","author":"Sieberts, S.K. and Perumal, T.M. and Carrasquillo, M.M. and Allen, M. and Reddy, J.S. and Hoffman, G.E. and Dang, K.K. and Calley, J. and Ebert, P.J. and Eddy, J. and Wang, X. and Greenwood, A.K. and Mostafavi, S. and Akbarian, S. and Bendl, J. and Breen, M.S. and Brennand, K. and Brown, L. and Browne, A. and Buxbaum, J.D. and Charney, A. and Chess, A. and Couto, L. and Crawford, G. and Devillers, O. and Devlin, B. and Dobbyn, A. and Domenici, E. and Filosi, M. and Flatow, E. and Francoeur, N. and Fullard, J. and Gil, S.E. and Girdhar, K. and Gulyás-Kovács, A. and Gur, R. and Hahn, C.-G. and Haroutunian, V. and Hauberg, M.E. and Huckins, L. and Jacobov, R. and Jiang, Y. and Johnson, J.S. and Kassim, B. and Kim, Y. and Klei, L. and Kramer, R. and Lauria, M. and Lehner, T. and Lewis, D.A. and Lipska, B.K. and Montgomery, K. and Park, R. and Rosenbluh, C. and Roussos, P. and Ruderfer, D.M. and Senthil, G. and Shah, H.R. and Sloofman, L. and Song, L. and Stahl, E. and Sullivan, P. and Visintainer, R. and Wang, J. and Wang, Y.-C. and Wiseman, J. and Xia, E. and Zhang, W. and Zharovsky, E. and Addis, L. and Addo, S.N. and Airey, D.C. and Arnold, M. and Bennett, D.A. and Bi, Y. and Biber, K. and Blach, C. and Bradhsaw, E. and Brennan, P. and Canet-Aviles, R. and Cao, S. and Cavalla, A. and Chae, Y. and Chen, W.W. and Cheng, J. and Collier, D.A. and Dage, J.L. and Dammer, E.B. and Davis, J.W. and Davis, J. and Drake, D. and Duong, D. and Eastwood, B.J. and Ehrlich, M. and Ellingson, B. and Engelmann, B.W. and Esmaeelinieh, S. and Felsky, D. and Funk, C. and Gaiteri, C. and Gandy, S. and Gao, F. and Gileadi, O. and Golde, T. and Grosskurth, S.E. and Gupta, R.R. and Gutteridge, A.X. and Haroutunian, V. and Hooli, B. and Humphryes-Kirilov, N. and Iijima, K. and James, C. and Jung, P.M. and Kaddurah-Daouk, R. and Kastenmuller, G. and Klein, H.-U. and Kummer, M. and Lacor, P.N. and Lah, J. and Laing, E. and Levey, A. and Li, Y. and Lipsky, S. and Liu, Y. and Liu, J. and Liu, Z. and Louie, G. and Lu, T. and Ma, Y. and Matsuoka, Y.Y. and Menon, V. and Miller, B. and Misko, T.P. and Mollon, J.E. and Montgomery, K. and Mukherjee, S. and Noggle, S. and Pao, P.-C. and Pearce, T.Y. and Pearson, N. and Penny, M. and Petyuk, V.A. and Price, N. and Quarless, D.X. and Ravikumar, B. and Ried, J.S. and Ruble, C.L.A. and Runz, H. and Saykin, A.J. and Schadt, E. and Scherschel, J.E. and Seyfried, N. and Shulman, J.M. and Snyder, P. and Soares, H. and Srivastava, G.P. and Stockmann, H. and Taga, M. and Tasaki, S. and Tenenbaum, J. and Tsai, L.-H. and Vasanthakumar, A. and Wachter, A. and Wang, Y. and Wang, H. and Wang, M. and Whelan, C.D. and White, C. and Woo, K.H. and Wren, P. and Wu, J.W. and Xi, H.S. and Yankner, B.A. and Younkin, S.G. and Yu, L. and Zavodszky, M. and Zhang, W. and Zhang, G. and Zhang, B. and Zhu, J. and Omberg, L. and Peters, M.A. and Logsdon, B.A. and De Jager, P.L. and Ertekin-Taner, N. and Mangravite, L.M.","doi":"10.1038/s41597-020-00642-8","journal":"Scientific Data","number":"1","bibtex":"@article{\n title = {Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions},\n type = {article},\n year = {2020},\n volume = {7},\n id = {49ae955b-76a8-387d-9543-015925796b62},\n created = {2020-10-21T23:59:00.000Z},\n file_attached = {false},\n profile_id = {64f7fb50-d000-335d-a02d-06c5f340a97a},\n last_modified = {2021-04-28T15:28:55.442Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n citation_key = {Sieberts2020a},\n private_publication = {false},\n abstract = {© 2020, The Author(s). The availability of high-quality RNA-sequencing and genotyping data of post-mortem brain collections from consortia such as CommonMind Consortium (CMC) and the Accelerating Medicines Partnership for Alzheimer’s Disease (AMP-AD) Consortium enable the generation of a large-scale brain cis-eQTL meta-analysis. Here we generate cerebral cortical eQTL from 1433 samples available from four cohorts (identifying >4.1 million significant eQTL for >18,000 genes), as well as cerebellar eQTL from 261 samples (identifying 874,836 significant eQTL for >10,000 genes). We find substantially improved power in the meta-analysis over individual cohort analyses, particularly in comparison to the Genotype-Tissue Expression (GTEx) Project eQTL. Additionally, we observed differences in eQTL patterns between cerebral and cerebellar brain regions. We provide these brain eQTL as a resource for use by the research community. As a proof of principle for their utility, we apply a colocalization analysis to identify genes underlying the GWAS association peaks for schizophrenia and identify a potentially novel gene colocalization with lncRNA RP11-677M14.2 (posterior probability of colocalization 0.975).},\n bibtype = {article},\n author = {Sieberts, S.K. and Perumal, T.M. and Carrasquillo, M.M. and Allen, M. and Reddy, J.S. and Hoffman, G.E. and Dang, K.K. and Calley, J. and Ebert, P.J. and Eddy, J. and Wang, X. and Greenwood, A.K. and Mostafavi, S. and Akbarian, S. and Bendl, J. and Breen, M.S. and Brennand, K. and Brown, L. and Browne, A. and Buxbaum, J.D. and Charney, A. and Chess, A. and Couto, L. and Crawford, G. and Devillers, O. and Devlin, B. and Dobbyn, A. and Domenici, E. and Filosi, M. and Flatow, E. and Francoeur, N. and Fullard, J. and Gil, S.E. and Girdhar, K. and Gulyás-Kovács, A. and Gur, R. and Hahn, C.-G. and Haroutunian, V. and Hauberg, M.E. and Huckins, L. and Jacobov, R. and Jiang, Y. and Johnson, J.S. and Kassim, B. and Kim, Y. and Klei, L. and Kramer, R. and Lauria, M. and Lehner, T. and Lewis, D.A. and Lipska, B.K. and Montgomery, K. and Park, R. and Rosenbluh, C. and Roussos, P. and Ruderfer, D.M. and Senthil, G. and Shah, H.R. and Sloofman, L. and Song, L. and Stahl, E. and Sullivan, P. and Visintainer, R. and Wang, J. and Wang, Y.-C. and Wiseman, J. and Xia, E. and Zhang, W. and Zharovsky, E. and Addis, L. and Addo, S.N. and Airey, D.C. and Arnold, M. and Bennett, D.A. and Bi, Y. and Biber, K. and Blach, C. and Bradhsaw, E. and Brennan, P. and Canet-Aviles, R. and Cao, S. and Cavalla, A. and Chae, Y. and Chen, W.W. and Cheng, J. and Collier, D.A. and Dage, J.L. and Dammer, E.B. and Davis, J.W. and Davis, J. and Drake, D. and Duong, D. and Eastwood, B.J. and Ehrlich, M. and Ellingson, B. and Engelmann, B.W. and Esmaeelinieh, S. and Felsky, D. and Funk, C. and Gaiteri, C. and Gandy, S. and Gao, F. and Gileadi, O. and Golde, T. and Grosskurth, S.E. and Gupta, R.R. and Gutteridge, A.X. and Haroutunian, V. and Hooli, B. and Humphryes-Kirilov, N. and Iijima, K. and James, C. and Jung, P.M. and Kaddurah-Daouk, R. and Kastenmuller, G. and Klein, H.-U. and Kummer, M. and Lacor, P.N. and Lah, J. and Laing, E. and Levey, A. and Li, Y. and Lipsky, S. and Liu, Y. and Liu, J. and Liu, Z. and Louie, G. and Lu, T. and Ma, Y. and Matsuoka, Y.Y. and Menon, V. and Miller, B. and Misko, T.P. and Mollon, J.E. and Montgomery, K. and Mukherjee, S. and Noggle, S. and Pao, P.-C. and Pearce, T.Y. and Pearson, N. and Penny, M. and Petyuk, V.A. and Price, N. and Quarless, D.X. and Ravikumar, B. and Ried, J.S. and Ruble, C.L.A. and Runz, H. and Saykin, A.J. and Schadt, E. and Scherschel, J.E. and Seyfried, N. and Shulman, J.M. and Snyder, P. and Soares, H. and Srivastava, G.P. and Stockmann, H. and Taga, M. and Tasaki, S. and Tenenbaum, J. and Tsai, L.-H. and Vasanthakumar, A. and Wachter, A. and Wang, Y. and Wang, H. and Wang, M. and Whelan, C.D. and White, C. and Woo, 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jager","ertekin-taner","mangravite"],"title":"Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions","year":2020,"biburl":"https://bibbase.org/service/mendeley/64f7fb50-d000-335d-a02d-06c5f340a97a","dataSources":["Pa586au6MYhHM9r97","ya2CyA73rpZseyrZ8","2252seNhipfTmjEBQ"]}