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| The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans GTEx Consortium, KG Ardlie, DS Deluca, AV Segrč, TJ Sullivan, ... Science 348 (6235), 648-660, 2015 | 4727 | 2015 |
| Efficient sparse coding algorithms H Lee, A Battle, R Raina, A Ng Advances in neural information processing systems 19, 2006 | 3532 | 2006 |
| Genetic effects on gene expression across human tissues GTEx Consortium Lead analysts: Aguet François 1 Brown Andrew A. 2 3 4 Castel ... Nature 550 (7675), 204-213, 2017 | 3514 | 2017 |
| The GTEx Consortium atlas of genetic regulatory effects across human tissues GTEx Consortium Science 369 (6509), 1318-1330, 2020 | 2933 | 2020 |
| Self-taught learning: transfer learning from unlabeled data R Raina, A Battle, H Lee, B Packer, AY Ng Proceedings of the 24th international conference on Machine learning, 759-766, 2007 | 2213 | 2007 |
| Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression U Vősa, A Claringbould, HJ Westra, MJ Bonder, P Deelen, B Zeng, ... Nature genetics 53 (9), 1300-1310, 2021 | 968 | 2021 |
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| Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals A Battle, S Mostafavi, X Zhu, JB Potash, MM Weissman, C McCormick, ... Genome research 24 (1), 14-24, 2014 | 678 | 2014 |
| Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences R Karlsson Linnér, P Biroli, E Kong, SFW Meddens, R Wedow, ... Nature genetics 51 (2), 245-257, 2019 | 642 | 2019 |
| Dynamic landscape and regulation of RNA editing in mammals MH Tan, Q Li, R Shanmugam, R Piskol, J Kohler, AN Young, KI Liu, ... Nature 550 (7675), 249-254, 2017 | 574 | 2017 |
| Impact of regulatory variation from RNA to protein A Battle, Z Khan, SH Wang, A Mitrano, MJ Ford, JK Pritchard, Y Gilad Science 347 (6222), 664-667, 2015 | 514 | 2015 |
| Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis U Vősa, A Claringbould, HJ Westra, MJ Bonder, P Deelen, B Zeng, ... BioRxiv, 447367, 2018 | 507 | 2018 |
| Genome-Wide Association Study in Asian Populations Identifies Variants in ETS1 and WDFY4 Associated with Systemic Lupus Erythematosus W Yang, N Shen, DQ Ye, Q Liu, Y Zhang, XX Qian, N Hirankarn, D Ying, ... PLoS genetics 6 (2), e1000841, 2010 | 461 | 2010 |
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| Effect of predicted protein-truncating genetic variants on the human transcriptome MA Rivas, M Pirinen, DF Conrad, M Lek, EK Tsang, KJ Karczewski, ... Science 348 (6235), 666-669, 2015 | 359 | 2015 |
| A quantitative proteome map of the human body L Jiang, M Wang, S Lin, R Jian, X Li, J Chan, G Dong, H Fang, ... Cell 183 (1), 269-283. e19, 2020 | 332 | 2020 |
| Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts L Frésard, C Smail, NM Ferraro, NA Teran, X Li, KS Smith, D Bonner, ... Nature medicine 25 (6), 911-919, 2019 | 298 | 2019 |
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| Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits E Porcu, S Rüeger, K Lepik, FA Santoni, A Reymond, Z Kutalik Nature communications 10 (1), 3300, 2019 | 248 | 2019 |
Stephen B MontgomeryProfessor, Pathology, Genetics and Biomedical Data Science, Stanford UniversityVerified email at stanford.edu
