| Mapping the human genetic architecture of COVID-19 Writing group Writing group leaders Pathak Gita A. 6 Andrews Shea J. 7 Kanai ... Nature 600 (7889), 472-477, 2021 | 718 | 2021 |
| Whole-genome sequencing reveals host factors underlying critical COVID-19 A Kousathanas, E Pairo-Castineira, K Rawlik, A Stuckey, CA Odhams, ... Nature 607 (7917), 97-103, 2022 | 223 | 2022 |
| PheWAS and beyond: the landscape of associations with medical diagnoses and clinical measures across 38,662 individuals from Geisinger A Verma, A Lucas, SS Verma, Y Zhang, N Josyula, A Khan, DN Hartzel, ... The American Journal of Human Genetics 102 (4), 592-608, 2018 | 76 | 2018 |
| A simulation study investigating power estimates in phenome-wide association studies A Verma, Y Bradford, S Dudek, AM Lucas, SS Verma, SA Pendergrass, ... BMC bioinformatics 19, 1-8, 2018 | 75 | 2018 |
| Targeting the coronavirus nucleocapsid protein through GSK-3 inhibition X Liu, A Verma, G Garcia Jr, H Ramage, A Lucas, RL Myers, ... Proceedings of the National Academy of Sciences 118 (42), e2113401118, 2021 | 70 | 2021 |
| Mapping the human genetic architecture of COVID-19: an update COVID-19 Host Genetics Initiative, A Ganna MedRxiv, 2021.11. 08.21265944, 2021 | 65 | 2021 |
| Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma D Kim, R Li, A Lucas, SS Verma, SM Dudek, MD Ritchie Journal of the American Medical Informatics Association 24 (3), 577-587, 2017 | 48 | 2017 |
| Epistatic gene-based interaction analyses for glaucoma in eMERGE and NEIGHBOR consortium SS Verma, JN Cooke Bailey, A Lucas, Y Bradford, JG Linneman, ... PLoS genetics 12 (9), e1006186, 2016 | 48 | 2016 |
| Exome-wide evaluation of rare coding variants using electronic health records identifies new gene–phenotype associations J Park, AM Lucas, X Zhang, K Chaudhary, JH Cho, G Nadkarni, A Dobbyn, ... Nature Medicine 27 (1), 66-72, 2021 | 41 | 2021 |
| The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population A Verma, SM Damrauer, N Naseer, JE Weaver, CM Kripke, L Guare, ... Journal of Personalized Medicine 12 (12), 1974, 2022 | 36 | 2022 |
| PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies MA Hall, J Wallace, A Lucas, D Kim, AO Basile, SS Verma, CA McCarty, ... Nature Communications 8 (1), 1167, 2017 | 33 | 2017 |
| Collective feature selection to identify crucial epistatic variants SS Verma, A Lucas, X Zhang, Y Veturi, S Dudek, B Li, R Li, R Urbanowicz, ... BioData mining 11, 1-22, 2018 | 29 | 2018 |
| A unified framework identifies new links between plasma lipids and diseases from electronic medical records across large-scale cohorts Y Veturi, A Lucas, Y Bradford, D Hui, S Dudek, E Theusch, A Verma, ... Nature genetics 53 (7), 972-981, 2021 | 19 | 2021 |
| Biology‐driven gene‐gene interaction analysis of age‐related cataract in the eMERGE network MA Hall, SS Verma, J Wallace, A Lucas, RL Berg, J Connolly, ... Genetic epidemiology 39 (5), 376-384, 2015 | 18 | 2015 |
| Controlling for population structure and genotyping platform bias in the eMERGE multi-institutional biobank linked to electronic health records DR Crosslin, G Tromp, A Burt, DS Kim, SS Verma, AM Lucas, Y Bradford, ... Frontiers in genetics 5, 352, 2014 | 17 | 2014 |
| Identifying genetic associations with variability in metabolic health and blood count laboratory values: diving into the quantitative traits by leveraging longitudinal data … SS Verma, AM Lucas, DR Lavage, JB Leader, R Metpally, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2017, 533-544, 2017 | 16 | 2017 |
| CLARITE facilitates the quality control and analysis process for EWAS of metabolic-related traits AM Lucas, NE Palmiero, J McGuigan, K Passero, J Zhou, D Orie, ... Frontiers in genetics 10, 439803, 2019 | 13 | 2019 |
| Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43,870 individuals from the eMERGE network X Zhang, Y Veturi, S Verma, W Bone, A Verma, A Lucas, S Hebbring, ... BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 272-283, 2018 | 13 | 2018 |
| eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals TG Drivas, A Lucas, MD Ritchie BioData Mining 14, 1-17, 2021 | 12 | 2021 |
| CNV Association of Diverse Clinical Phenotypes from eMERGE reveals novel disease biology underlying cardiovascular disease JT Glessner, J Li, A Desai, M Palmer, D Kim, AM Lucas, X Chang, ... International journal of cardiology 298, 107-113, 2020 | 12 | 2020 |
