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| The GTEx Consortium atlas of genetic regulatory effects across human tissues GTEx Consortium Science 369 (6509), 1318-1330, 2020 | 3063 | 2020 |
| Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression U Võsa, A Claringbould, HJ Westra, MJ Bonder, P Deelen, B Zeng, ... Nature genetics 53 (9), 1300-1310, 2021 | 1039 | 2021 |
| Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis U Võsa, A Claringbould, HJ Westra, MJ Bonder, P Deelen, B Zeng, ... BioRxiv, 447367, 2018 | 514 | 2018 |
| 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 | 346 | 2020 |
| Co-expression networks reveal the tissue-specific regulation of transcription and splicing A Saha, Y Kim, ADH Gewirtz, B Jo, C Gao, IC McDowell, BE Engelhardt, ... Genome research 27 (11), 1843-1858, 2017 | 180 | 2017 |
| Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease OM de Goede, DC Nachun, NM Ferraro, MJ Gloudemans, AS Rao, ... Cell 184 (10), 2633-2648. e19, 2021 | 137 | 2021 |
| False positives in trans-eQTL and co-expression analyses arising from RNA-sequencing alignment errors A Saha, A Battle F1000Research 7, 2018 | 74 | 2018 |
| Coexpression network architecture reveals the brain-wide and multiregional basis of disease susceptibility CL Hartl, G Ramaswami, WG Pembroke, S Muller, G Pintacuda, A Saha, ... Nature neuroscience 24 (9), 1313-1323, 2021 | 60 | 2021 |
| Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics. Nat Commun. 2018; 9 (1): 1825 AN Barbeira, SP Dickinson, R Bonazzola, J Zheng, HE Wheeler, ... Epub 2018/05/10. https://doi. org/10.1038/s41467-018-03621-1 PMID: 29739930, 0 | 41 | |
| Imputed gene associations identify replicable trans‐acting genes enriched in transcription pathways and complex traits HE Wheeler, S Ploch, AN Barbeira, R Bonazzola, A Andaleon, ... Genetic Epidemiology 43 (6), 596-608, 2019 | 24 | 2019 |
| ACE inhibition and cardiometabolic risk factors, lung ACE2 and TMPRSS2 gene expression, and plasma ACE2 levels: a Mendelian randomization study D Gill, M Arvanitis, P Carter, AI Hernández Cordero, B Jo, V Karhunen, ... Royal Society Open Science 7 (11), 200958, 2020 | 22 | 2020 |
| Aggregative trans-eQTL analysis detects trait-specific target gene sets in whole blood D Dutta, Y He, A Saha, M Arvanitis, A Battle, N Chatterjee Nature communications 13 (1), 4323, 2022 | 20* | 2022 |
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| Automatic context-specific subnetwork discovery from large interaction networks A Saha, AC Tan, J Kang PloS one 9 (1), 2014 | 11 | 2014 |
| The architecture of brain co-expression reveals the brain-wide basis of disease susceptibility CL Hartl, G Ramaswami, WG Pembroke, S Muller, G Pintacuda, A Saha, ... Biorxiv, 2020.03. 05.965749, 2020 | 8 | 2020 |
| Network reconstruction for trans acting genetic loci using multi-omics data and prior information JS Hawe, A Saha, M Waldenberger, S Kunze, S Wahl, M Müller-Nurasyid, ... bioRxiv, 2020.05. 19.101592, 2020 | 4 | 2020 |
| False positives in trans-eQTL and co-expression analy-ses arising from RNA-sequencing alignment errors (Sup-plementary) A Saha, A Battle | 2 | 2019 |
| iCOSSY: An online tool for context-specific subnetwork discovery from gene expression data A Saha, M Jeon, AC Tan, J Kang Plos one 10 (7), e0131656, 2015 | 2 | 2015 |
| Computational methods to study gene regulation in humans using DNA and RNA sequencing data A Saha Johns Hopkins University, 2021 | | 2021 |
Alexis BattleProfessor, Biomedical Engineering, CS, Genetic Medicine at JHUVerified email at jhu.edu
