| Year |
Citation |
Score |
| 2024 |
Woerner J, Sriram V, Nam Y, Verma A, Kim D. Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network. Bioinformatics (Oxford, England). 40. PMID 38527901 DOI: 10.1093/bioinformatics/btae126 |
0.321 |
|
| 2024 |
Lo Faro V, Bhattacharya A, Zhou W, Zhou D, Wang Y, Läll K, Kanai M, Lopera-Maya E, Straub P, Pawar P, Tao R, Zhong X, Namba S, Sanna S, Nolte IM, ... ... Verma A, et al. Novel ancestry-specific primary open-angle glaucoma loci and shared biology with vascular mechanisms and cell proliferation. Cell Reports. Medicine. 5: 101430. PMID 38382466 DOI: 10.1016/j.xcrm.2024.101430 |
0.643 |
|
| 2023 |
Kember RL, Verma SS, Verma A, Xiao B, Lucas A, Kripke CM, Judy R, Chen J, Damrauer SM, Rader DJ, Ritchie MD. Polygenic risk scores for cardiometabolic traits demonstrate importance of ancestry for predictive precision medicine. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 29: 611-626. PMID 38160310 |
0.722 |
|
| 2023 |
Verma A, Huffman JE, Rodriguez A, Conery M, Liu M, Ho YL, Kim Y, Heise DA, Guare L, Panickan VA, Garcon H, Linares F, Costa L, Goethert I, Tipton R, et al. Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program. Medrxiv : the Preprint Server For Health Sciences. PMID 37425708 DOI: 10.1101/2023.06.28.23291975 |
0.361 |
|
| 2023 |
Nam Y, Lucas A, Yun JS, Lee SM, Park JW, Chen Z, Lee B, Ning X, Shen L, Verma A, Kim D. Development of complemented comprehensive networks for rapid screening of repurposable drugs applicable to new emerging disease outbreaks. Journal of Translational Medicine. 21: 415. PMID 37365631 DOI: 10.1186/s12967-023-04223-2 |
0.542 |
|
| 2023 |
Singhal P, Guare L, Morse C, Lucas A, Byrska-Bishop M, Guerraty MA, Kim D, Ritchie MD, Verma A. DETECT: Feature extraction method for disease trajectory modeling in electronic health records. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2023: 487-496. PMID 37350926 |
0.78 |
|
| 2023 |
Woerner J, Sriram V, Nam Y, Verma A, Kim D. Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network. Medrxiv : the Preprint Server For Health Sciences. PMID 37293013 DOI: 10.1101/2023.05.11.23289852 |
0.635 |
|
| 2023 |
Zaidi AA, Verma A, Morse C, Ritchie MD, Mathieson I. The genetic and phenotypic correlates of mtDNA copy number in a multi-ancestry cohort. Hgg Advances. 4: 100202. PMID 37255673 DOI: 10.1016/j.xhgg.2023.100202 |
0.559 |
|
| 2023 |
Graham SE, Clarke SL, Wu KH, Kanoni S, Zajac GJM, Ramdas S, Surakka I, Ntalla I, Vedantam S, Winkler TW, Locke AE, Marouli E, Hwang MY, Han S, Narita A, ... ... Verma A, et al. Author Correction: The power of genetic diversity in genome-wide association studies of lipids. Nature. PMID 37237109 DOI: 10.1038/s41586-023-06194-2 |
0.775 |
|
| 2022 |
Zhou W, Kanai M, Wu KH, Rasheed H, Tsuo K, Hirbo JB, Wang Y, Bhattacharya A, Zhao H, Namba S, Surakka I, Wolford BN, Lo Faro V, Lopera-Maya EA, Läll K, ... ... Verma A, et al. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease. Cell Genomics. 2: 100192. PMID 36777996 DOI: 10.1016/j.xgen.2022.100192 |
0.583 |
|
| 2022 |
Kanoni S, Graham SE, Wang Y, Surakka I, Ramdas S, Zhu X, Clarke SL, Bhatti KF, Vedantam S, Winkler TW, Locke AE, Marouli E, Zajac GJM, Wu KH, Ntalla I, ... ... Verma A, et al. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis. Genome Biology. 23: 268. PMID 36575460 DOI: 10.1186/s13059-022-02837-1 |
0.699 |
|
| 2022 |
Nam Y, Jung SH, Yun JS, Sriram V, Singhal P, Byrska-Bishop M, Verma A, Shin H, Park WY, Won HH, Kim D. Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. Bioinformatics (Oxford, England). PMID 36571484 DOI: 10.1093/bioinformatics/btac822 |
0.791 |
|
| 2022 |
Verma A, Damrauer SM, Naseer N, Weaver J, Kripke CM, Guare L, Sirugo G, Kember RL, Drivas TG, Dudek SM, Bradford Y, Lucas A, Judy R, Verma SS, Meagher E, et al. The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population. Journal of Personalized Medicine. 12. PMID 36556195 DOI: 10.3390/jpm12121974 |
0.708 |
|
| 2022 |
Park J, MacLean MT, Lucas AM, Torigian DA, Schneider CV, Cherlin T, Xiao B, Miller JE, Bradford Y, Judy RL, Verma A, Damrauer SM, Ritchie MD, Witschey WR, Rader DJ. Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobank. Cell Reports. Medicine. 100855. PMID 36513072 DOI: 10.1016/j.xcrm.2022.100855 |
0.703 |
|
| 2022 |
Verma SS, Keat K, Li B, Hoffecker G, Risman M, Sangkuhl K, Whirl-Carrillo M, Dudek S, Verma A, Klein TE, Ritchie MD, Tuteja S. Evaluating the frequency and the impact of pharmacogenetic alleles in an ancestrally diverse Biobank population. Journal of Translational Medicine. 20: 550. PMID 36443877 DOI: 10.1186/s12967-022-03745-5 |
0.788 |
|
| 2022 |
Li B, Sangkuhl K, Keat K, Whaley RM, Woon M, Verma S, Dudek S, Tuteja S, Verma A, Whirl-Carrillo M, Ritchie MD, Klein TE. How to Run the Pharmacogenomics Clinical Annotation Tool (PharmCAT). Clinical Pharmacology and Therapeutics. PMID 36350094 DOI: 10.1002/cpt.2790 |
0.798 |
|
| 2022 |
Butler-Laporte G, Povysil G, Kosmicki JA, Cirulli ET, Drivas T, Furini S, Saad C, Schmidt A, Olszewski P, Korotko U, Quinodoz M, Çelik E, Kundu K, Walter K, Jung J, ... ... Verma A, et al. Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative. Plos Genetics. 18: e1010367. PMID 36327219 DOI: 10.1371/journal.pgen.1010367 |
0.348 |
|
| 2022 |
Ramdas S, Judd J, Graham SE, Kanoni S, Wang Y, Surakka I, Wenz B, Clarke SL, Chesi A, Wells A, Bhatti KF, Vedantam S, Winkler TW, Locke AE, Marouli E, ... ... Verma A, et al. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids. American Journal of Human Genetics. 109: 1366-1387. PMID 35931049 DOI: 10.1016/j.ajhg.2022.06.012 |
0.713 |
|
| 2022 |
Banday AR, Stanifer ML, Florez-Vargas O, Onabajo OO, Papenberg BW, Zahoor MA, Mirabello L, Ring TJ, Lee CH, Albert PS, Andreakos E, Arons E, Barsh G, Biesecker LG, Boyle DL, ... ... Verma A, et al. Genetic regulation of OAS1 nonsense-mediated decay underlies association with COVID-19 hospitalization in patients of European and African ancestries. Nature Genetics. PMID 35835913 DOI: 10.1038/s41588-022-01113-z |
0.526 |
|
| 2022 |
Choe EK, Shivakumar M, Lee SM, Verma A, Kim D. Dissecting the clinical relevance of polygenic risk score for obesity-a cross-sectional, longitudinal analysis. International Journal of Obesity (2005). PMID 35752651 DOI: 10.1038/s41366-022-01168-2 |
0.494 |
|
| 2022 |
Zhang X, Lucas AM, Veturi Y, Drivas TG, Bone WP, Verma A, Chung WK, Crosslin D, Denny JC, Hebbring S, Jarvik GP, Kullo I, Larson EB, Rasmussen-Torvik LJ, Schaid DJ, et al. Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders. Nature Communications. 13: 3428. PMID 35701404 DOI: 10.1038/s41467-022-30678-w |
0.648 |
|
| 2022 |
Vujkovic M, Ramdas S, Lorenz KM, Guo X, Darlay R, Cordell HJ, He J, Gindin Y, Chung C, Myers RP, Schneider CV, Park J, Lee KM, Serper M, Carr RM, ... ... Verma A, et al. A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation. Nature Genetics. PMID 35654975 DOI: 10.1038/s41588-022-01078-z |
0.563 |
|
| 2022 |
Zhang C, Verma A, Feng Y, Melo MCR, McQuillan M, Hansen M, Lucas A, Park J, Ranciaro A, Thompson S, Rubel MA, Campbell MC, Beggs W, Hirbo J, Wata Mpoloka S, et al. Impact of natural selection on global patterns of genetic variation and association with clinical phenotypes at genes involved in SARS-CoV-2 infection. Proceedings of the National Academy of Sciences of the United States of America. 119: e2123000119. PMID 35580180 DOI: 10.1073/pnas.2123000119 |
0.523 |
|
| 2022 |
Verma A, Tsao NL, Thomann LO, Ho YL, Iyengar SK, Luoh SW, Carr R, Crawford DC, Efird JT, Huffman JE, Hung A, Ivey KL, Levin MG, Lynch J, Natarajan P, et al. A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program. Plos Genetics. 18: e1010113. PMID 35482673 DOI: 10.1371/journal.pgen.1010113 |
0.563 |
|
| 2022 |
Chand GB, Singhal P, Dwyer DB, Wen J, Erus G, Doshi J, Srinivasan D, Mamourian E, Varol E, Sotiras A, Hwang G, Dazzan P, Kahn RS, Schnack HG, Zanetti MV, ... ... Verma A, et al. Schizophrenia Imaging Signatures and Their Associations With Cognition, Psychopathology, and Genetics in the General Population. The American Journal of Psychiatry. appiajp21070686. PMID 35410495 DOI: 10.1176/appi.ajp.21070686 |
0.397 |
|
| 2022 |
Kousathanas A, Pairo-Castineira E, Rawlik K, Stuckey A, Odhams CA, Walker S, Russell CD, Malinauskas T, Wu Y, Millar J, Shen X, Elliott KS, Griffiths F, Oosthuyzen W, Morrice K, ... ... Verma A, et al. Whole genome sequencing reveals host factors underlying critical Covid-19. Nature. PMID 35255492 DOI: 10.1038/s41586-022-04576-6 |
0.519 |
|
| 2022 |
Horowitz JE, Kosmicki JA, Damask A, Sharma D, Roberts GHL, Justice AE, Banerjee N, Coignet MV, Yadav A, Leader JB, Marcketta A, Park DS, Lanche R, Maxwell E, Knight SC, ... ... Verma A, et al. Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease. Nature Genetics. PMID 35241825 DOI: 10.1038/s41588-021-01006-7 |
0.533 |
|
| 2022 |
Sriram V, Shivakumar M, Jung SH, Nam Y, Bang L, Verma A, Lee S, Choe EK, Kim D. NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results. Gigascience. 11. PMID 35166337 DOI: 10.1093/gigascience/giac002 |
0.626 |
|
| 2022 |
Choe EK, Shivakumar M, Verma A, Verma SS, Choi SH, Kim JS, Kim D. Leveraging deep phenotyping from health check-up cohort with 10,000 Korean individuals for phenome-wide association study of 136 traits. Scientific Reports. 12: 1930. PMID 35121771 DOI: 10.1038/s41598-021-04580-2 |
0.757 |
|
| 2022 |
Nam Y, Jung SH, Verma A, Sriram V, Won HH, Yun JS, Kim D. netCRS: Network-based comorbidity risk score for prediction of myocardial infarction using biobank-scaled PheWAS data. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 27: 325-336. PMID 34890160 |
0.599 |
|
| 2021 |
Sriram V, Nam Y, Shivakumar M, Verma A, Jung SH, Lee SM, Kim D. A Network-Based Analysis of Disease Complication Associations for Obstetric Disorders in the UK Biobank. Journal of Personalized Medicine. 11. PMID 34945853 DOI: 10.3390/jpm11121382 |
0.575 |
|
| 2021 |
Wang L, Desai H, Verma SS, Le A, Hausler R, Verma A, Judy R, Doucette A, Gabriel PE, Nathanson KL, Damrauer SM, Mowery DL, Ritchie MD, Kember RL, et al. Performance of polygenic risk scores for cancer prediction in a racially diverse academic biobank. Genetics in Medicine : Official Journal of the American College of Medical Genetics. PMID 34906489 DOI: 10.1016/j.gim.2021.10.015 |
0.679 |
|
| 2021 |
Graham SE, Clarke SL, Wu KH, Kanoni S, Zajac GJM, Ramdas S, Surakka I, Ntalla I, Vedantam S, Winkler TW, Locke AE, Marouli E, Hwang MY, Han S, Narita A, ... ... Verma A, et al. The power of genetic diversity in genome-wide association studies of lipids. Nature. PMID 34887591 DOI: 10.1038/s41586-021-04064-3 |
0.8 |
|
| 2021 |
Verma A, Tsao NL, Thomann L, Ho YL, Iyengar SK, Luoh SW, Carr R, Crawford D, Efird JT, Huffman J, Hung A, Ivey KL, Levin M, Lynch J, Natarajan P, et al. A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program. Medrxiv : the Preprint Server For Health Sciences. PMID 34642702 DOI: 10.1101/2021.05.18.21257396 |
0.565 |
|
| 2021 |
Liu X, Verma A, Garcia G, Ramage H, Lucas A, Myers RL, Michaelson JJ, Coryell W, Kumar A, Charney AW, Kazanietz MG, Rader DJ, Ritchie MD, Berrettini WH, Schultz DC, et al. Targeting the coronavirus nucleocapsid protein through GSK-3 inhibition. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 34593624 DOI: 10.1073/pnas.2113401118 |
0.371 |
|
| 2021 |
Zhang C, Verma A, Feng Y, Melo MCDR, McQuillan M, Hansen M, Lucas A, Park J, Ranciaro A, Thompson S, Rubel M, Campbell M, Beggs W, Hirbo J, Mpoloka SW, et al. Impact of natural selection on global patterns of genetic variation, and association with clinical phenotypes, at genes involved in SARS-CoV-2 infection. Research Square. PMID 34341784 DOI: 10.21203/rs.3.rs-673011/v1 |
0.544 |
|
| 2021 |
Banday AR, Stanifer ML, Florez-Vargas O, Onabajo OO, Zahoor MA, Papenberg BW, Ring TJ, Lee CH, Andreakos E, Arons E, Barsh G, Biesecker LG, Boyle DL, Burnett-Hartman A, Carrington M, ... ... Verma A, et al. Genetic regulation of nonsense-mediated decay underlies association with risk of severe COVID-19. Medrxiv : the Preprint Server For Health Sciences. PMID 34282422 DOI: 10.1101/2021.07.09.21260221 |
0.533 |
|
| 2021 |
Zhang C, Verma A, Feng Y, Melo MCR, McQuillan M, Hansen M, Lucas A, Park J, Ranciaro A, Thompson S, Rubel MA, Campbell MC, Beggs W, Hirbo J, Mpoloka SW, et al. Global patterns of genetic variation and association with clinical phenotypes at genes involved in SARS-CoV-2 infection. Medrxiv : the Preprint Server For Health Sciences. PMID 34230933 DOI: 10.1101/2021.06.28.21259529 |
0.541 |
|
| 2021 |
Veturi Y, Lucas A, Bradford Y, Hui D, Dudek S, Theusch E, Verma A, Miller JE, Kullo I, Hakonarson H, Sleiman P, Schaid D, Stein CM, Edwards DRV, Feng Q, et al. A unified framework identifies new links between plasma lipids and diseases from electronic medical records across large-scale cohorts. Nature Genetics. PMID 34140684 DOI: 10.1038/s41588-021-00879-y |
0.716 |
|
| 2021 |
Sun L, Surya S, Goodman NG, Le AN, Kelly G, Owoyemi O, Desai H, Zheng C, DeLuca S, Good ML, Hussain J, Jeffries SD, Kry YR, Kugler EM, Mansour M, ... ... Verma A, et al. SARS-CoV-2 Seropositivity and Seroconversion in Patients Undergoing Active Cancer-Directed Therapy. Jco Oncology Practice. OP2100113. PMID 34133219 DOI: 10.1200/OP.21.00113 |
0.606 |
|
| 2021 |
Kosmicki JA, Horowitz JE, Banerjee N, Lanche R, Marcketta A, Maxwell E, Bai X, Sun D, Backman JD, Sharma D, Kury FSP, Kang HM, O'Dushlaine C, Yadav A, Mansfield AJ, ... ... Verma A, et al. Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals. American Journal of Human Genetics. PMID 34115965 DOI: 10.1016/j.ajhg.2021.05.017 |
0.579 |
|
| 2021 |
Li B, Veturi Y, Verma A, Bradford Y, Daar ES, Gulick RM, Riddler SA, Robbins GK, Lennox JL, Haas DW, Ritchie MD. Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults. Plos Genetics. 17: e1009464. PMID 33901188 DOI: 10.1371/journal.pgen.1009464 |
0.789 |
|
| 2021 |
Beaulieu-Jones B, Darabos C, Kim D, Verma A, Kobren SN. Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 26: 256-260. PMID 33691022 |
0.506 |
|
| 2021 |
Liu X, Verma A, Ramage H, Garcia G, Myers RL, Lucas A, Michaelson JJ, Coryell W, Kumar A, Charney A, Kazanietz MG, Rader DJ, Ritchie MD, Berrettini WH, Damoiseaux R, et al. Targeting the Coronavirus Nucleocapsid Protein through GSK-3 Inhibition. Medrxiv : the Preprint Server For Health Sciences. PMID 33655282 DOI: 10.1101/2021.02.17.21251933 |
0.373 |
|
| 2021 |
Sun L, Surya S, Le AN, Desai H, Doucette A, Gabriel P, Ritchie MD, Rader D, Maillard I, Bange E, Huang AC, Vonderheide RH, DeMichele A, Verma A, Mamtani R, et al. Rates of COVID-19-Related Outcomes in Cancer Compared With Noncancer Patients. Jnci Cancer Spectrum. 5: pkaa120. PMID 33554040 DOI: 10.1093/jncics/pkaa120 |
0.386 |
|
| 2021 |
Sun L, Surya S, Goodman NG, Le AN, Kelly G, Owoyemi O, Desai H, Zheng C, DeLuca S, Good ML, Hussain J, Jeffries SD, Kry YR, Kugler EM, Mansour M, ... ... Verma A, et al. SARS-CoV-2 seropositivity and seroconversion in patients undergoing active cancer-directed therapy. Medrxiv : the Preprint Server For Health Sciences. PMID 33469597 DOI: 10.1101/2021.01.15.21249810 |
0.617 |
|
| 2021 |
Park J, Lucas AM, Zhang X, Chaudhary K, Cho JH, Nadkarni G, Dobbyn A, Chittoor G, Josyula NS, Katz N, Breeyear JH, Ahmadmehrabi S, Drivas TG, Chavali VRM, Fasolino M, ... ... Verma A, et al. Exome-wide evaluation of rare coding variants using electronic health records identifies new gene-phenotype associations. Nature Medicine. PMID 33432171 DOI: 10.1038/s41591-020-1133-8 |
0.752 |
|
| 2020 |
Kember RL, Merikangas AK, Verma SS, Verma A, Judy R, Damrauer SM, Ritchie MD, Rader DJ, Bućan M. Polygenic Risk of Psychiatric Disorders Exhibits Cross-trait Associations in Electronic Health Record Data From European Ancestry Individuals. Biological Psychiatry. PMID 32919613 DOI: 10.1016/J.Biopsych.2020.06.026 |
0.672 |
|
| 2020 |
Sun L, Sanjna S, Le A, Desai H, Doucette A, Gabriel P, Ritchie M, Rader D, Maillard I, Bange E, Huang A, Vonderheide RH, DeMichele A, Verma A, Mamtani R, et al. Rates of COVID-19-related Outcomes in Cancer compared to non-Cancer Patients. Medrxiv : the Preprint Server For Health Sciences. PMID 32817956 DOI: 10.1101/2020.08.14.20174961 |
0.372 |
|
| 2020 |
Kobren SN, Beaulieu-Jones B, Darabos C, Kim D, Verma A. Ongoing challenges and innovative approaches for recognizing patterns across large-scale, integrative biomedical datasets. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 25: 286-294. PMID 31797604 |
0.509 |
|
| 2019 |
Sangkuhl K, Whirl-Carrillo M, Whaley RM, Woon M, Lavertu A, Altman RB, Carter L, Verma A, Ritchie MD, Klein TE. Pharmacogenomics Clinical Annotation Tool (PharmCAT). Clinical Pharmacology and Therapeutics. PMID 31306493 DOI: 10.1002/Cpt.1568 |
0.508 |
|
| 2019 |
Haggerty CM, Damrauer SM, Levin MG, Birtwell D, Carey DJ, Golden AM, Hartzel DN, Hu Y, Judy R, Kelly MA, Kember RL, Kirchner HL, Leader JB, Liang L, McDermott-Roe C, ... ... Verma A, et al. Genomics-First Evaluation of Heart Disease Associated With Titin-Truncating Variants. Circulation. PMID 31216868 DOI: 10.1161/Circulationaha.119.039573 |
0.624 |
|
| 2019 |
Li B, Veturi Y, Bradford Y, Verma SS, Verma A, Lucas AM, Haas DW, Ritchie MD. Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 296-307. PMID 30864331 |
0.795 |
|
| 2019 |
Zhang X, Veturi Y, Verma S, Bone W, Verma A, Lucas A, Hebbring S, Denny JC, Stanaway IB, Jarvik GP, Crosslin D, Larson EB, Rasmussen-Torvik L, Pendergrass SA, Smoller JW, et al. Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43,870 individuals from the eMERGE network. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 272-283. PMID 30864329 |
0.82 |
|
| 2019 |
Verma SS, Verma A, Kim D, Darabos C. Session Introduction - Pattern Recognition in Biomedical Data: Challenges in putting big data to work. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 1-7. PMID 30864305 |
0.675 |
|
| 2019 |
Kember R, Verma S, Verma A, Ritchie M, Damrauer S, Rader D, Merikangas A. USING ELECTRONIC HEALTH RECORDS TO IDENTIFY MEDICAL COMORBIDITIES OF MOOD DISORDERS European Neuropsychopharmacology. 29: S13-S14. DOI: 10.1016/J.Euroneuro.2019.07.028 |
0.649 |
|
| 2018 |
Verma A, Bang L, Miller JE, Zhang Y, Lee MTM, Zhang Y, Byrska-Bishop M, Carey DJ, Ritchie MD, Pendergrass SA, Kim D. Human-Disease Phenotype Map Derived from PheWAS across 38,682 Individuals. American Journal of Human Genetics. PMID 30598166 DOI: 10.1016/J.Ajhg.2018.11.006 |
0.816 |
|
| 2018 |
Verma SS, Josyula N, Verma A, Zhang X, Veturi Y, Dewey FE, Hartzel DN, Lavage DR, Leader J, Ritchie MD, Pendergrass SA. Author Correction: Rare variants in drug target genes contributing to complex diseases, phenome-wide. Scientific Reports. 8: 15911. PMID 30353015 DOI: 10.1038/S41598-018-27936-7 |
0.772 |
|
| 2018 |
Haas DW, Bradford Y, Verma A, Verma SS, Eron JJ, Gulick RM, Riddler SA, Sax PE, Daar ES, Morse GD, Acosta EP, Ritchie MD. Brain neurotransmitter transporter/receptor genomics and efavirenz central nervous system adverse events. Pharmacogenetics and Genomics. PMID 29847509 DOI: 10.1097/Fpc.0000000000000341 |
0.643 |
|
| 2018 |
Verma A, Bradford Y, Dudek S, Lucas AM, Verma SS, Pendergrass SA, Ritchie MD. A simulation study investigating power estimates in phenome-wide association studies. Bmc Bioinformatics. 19: 120. PMID 29618318 DOI: 10.1186/S12859-018-2135-0 |
0.786 |
|
| 2018 |
Verma A, Lucas A, Verma SS, Zhang Y, Josyula N, Khan A, Hartzel DN, Lavage DR, Leader J, Ritchie MD, Pendergrass SA. PheWAS and Beyond: The Landscape of Associations with Medical Diagnoses and Clinical Measures across 38,662 Individuals from Geisinger. American Journal of Human Genetics. PMID 29606303 DOI: 10.1016/J.Ajhg.2018.02.017 |
0.816 |
|
| 2018 |
Verma SS, Josyula N, Verma A, Zhang X, Veturi Y, Dewey FE, Hartzel DN, Lavage DR, Leader J, Ritchie MD, Pendergrass SA. Rare variants in drug target genes contributing to complex diseases, phenome-wide. Scientific Reports. 8: 4624. PMID 29545597 DOI: 10.1038/S41598-018-22834-4 |
0.817 |
|
| 2018 |
Li B, Verma SS, Veturi YC, Verma A, Bradford Y, Haas DW, Ritchie MD. Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 23: 448-459. PMID 29218904 |
0.801 |
|
| 2018 |
Verma SS, Verma A, Basile AO, Bishop MB, Darabos C. Session Introduction: Challenges of Pattern Recognition in Biomedical Data. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 23: 104-110. PMID 29218873 |
0.778 |
|
| 2017 |
Verma A, Ritchie MD. Current Scope and Challenges in Phenome-Wide Association Studies. Current Epidemiology Reports. 4: 321-329. PMID 29545989 DOI: 10.1007/S40471-017-0127-7 |
0.624 |
|
| 2017 |
Hall MA, Wallace J, Lucas A, Kim D, Basile AO, Verma SS, McCarty CA, Brilliant MH, Peissig PL, Kitchner TE, Verma A, Pendergrass SA, Dudek SM, Moore JH, Ritchie MD. PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies. Nature Communications. 8: 1167. PMID 29079728 DOI: 10.1038/S41467-017-00802-2 |
0.796 |
|
| 2017 |
Verma A, Bradford Y, Verma SS, Pendergrass SA, Daar ES, Venuto C, Morse GD, Ritchie MD, Haas DW. Multiphenotype association study of patients randomized to initiate antiretroviral regimens in AIDS Clinical Trials Group protocol A5202. Pharmacogenetics and Genomics. PMID 28099408 DOI: 10.1097/Fpc.0000000000000263 |
0.759 |
|
| 2016 |
Jones GT, Tromp G, Kuivaniemi H, Gretarsdottir S, Baas AF, Giusti B, Strauss E, van 't Hof FN, Webb T, Erdman R, Ritchie MD, Elmore JR, Verma A, Pendergrass S, Kullo IJ, et al. Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci. Circulation Research. PMID 27899403 DOI: 10.1161/Circresaha.116.308765 |
0.768 |
|
| 2016 |
Basile AO, Verma A, Byrska-Bishop M, Pendergrass SA, Darabos C, Lester Kirchner H. PATTERNS IN BIOMEDICAL DATA-HOW DO WE FIND THEM? Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 22: 177-183. PMID 27896973 |
0.768 |
|
| 2016 |
Verma A, Verma SS, Pendergrass SA, Crawford DC, Crosslin DR, Kuivaniemi H, Bush WS, Bradford Y, Kullo I, Bielinski SJ, Li R, Denny JC, Peissig P, Hebbring S, De Andrade M, et al. eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants. Bmc Medical Genomics. 9: 32. PMID 27535653 DOI: 10.1186/S12920-016-0191-8 |
0.819 |
|
| 2016 |
Verma A, Basile AO, Bradford Y, Kuivaniemi H, Tromp G, Carey D, Gerhard GS, Crowe JE, Ritchie MD, Pendergrass SA. Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases. Plos One. 11: e0160573. PMID 27508393 DOI: 10.1371/Journal.Pone.0160573 |
0.825 |
|
| 2016 |
Oetjens MT, Bush WS, Denny JC, Birdwell K, Kodaman N, Verma A, Dilks HH, Pendergrass SA, Ritchie MD, Crawford DC. Evidence for extensive pleiotropy among pharmacogenes. Pharmacogenomics. 0. PMID 27249515 DOI: 10.2217/Pgs-2015-0007 |
0.732 |
|
| 2016 |
Verma A, Leader JB, Verma SS, Frase A, Wallace J, Dudek S, Lavage DR, VAN Hout CV, Dewey FE, Penn J, Lopez A, Overton JD, Carey DJ, Ledbetter DH, Kirchner HL, et al. INTEGRATING CLINICAL LABORATORY MEASURES AND ICD-9 CODE DIAGNOSES IN PHENOME-WIDE ASSOCIATION STUDIES. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 21: 168-79. PMID 26776183 |
0.807 |
|
| 2016 |
Verma SS, Frase AT, Verma A, Pendergrass SA, Mahony S, Haas DW, Ritchie MD. PHENOME-WIDE INTERACTION STUDY (PheWIS) IN AIDS CLINICAL TRIALS GROUP DATA (ACTG). Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 21: 57-68. PMID 26776173 |
0.807 |
|
| 2015 |
Leader JB, Pendergrass SA, Verma A, Carey DJ, Hartzel DN, Ritchie MD, Kirchner HL. Contrasting Association Results between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2015: 824-32. PMID 26958218 |
0.715 |
|
| 2015 |
Pendergrass SA, Verma A, Okula A, Hall MA, Crawford DC, Ritchie MD. Phenome-Wide Association Studies: Embracing Complexity for Discovery. Human Heredity. 79: 111-23. PMID 26201697 DOI: 10.1159/000381851 |
0.824 |
|
| 2015 |
Moore CB, Verma A, Pendergrass S, Verma SS, Johnson DH, Daar ES, Gulick RM, Haubrich R, Robbins GK, Ritchie MD, Haas DW. Phenome-wide Association Study Relating Pretreatment Laboratory Parameters With Human Genetic Variants in AIDS Clinical Trials Group Protocols. Open Forum Infectious Diseases. 2: ofu113. PMID 25884002 DOI: 10.1093/Ofid/Ofu113 |
0.809 |
|
| 2015 |
Pendergrass SA, Verma A, Okula A, Hall MA, Crawford DC, Ritchie MD, Génin E, Devoto M, Li H, Jeng J, Wu Q, Ziegler A, Mwambi H, König IR, Pineda S, et al. Contents Vol. 79, 2015 Human Heredity. 79. DOI: 10.1159/000382044 |
0.686 |
|
| 2015 |
Pendergrass SA, Verma A, Okula A, Hall MA, Crawford DC, Ritchie MD. Phenome-Wide Association Studies: Embracing Complexity for Discovery Human Heredity. 79: 111-123. DOI: 10.1159/000381851 |
0.768 |
|
| 2014 |
Hall MA, Verma A, Brown-Gentry KD, Goodloe R, Boston J, Wilson S, McClellan B, Sutcliffe C, Dilks HH, Gillani NB, Jin H, Mayo P, Allen M, Schnetz-Boutaud N, Crawford DC, et al. Detection of pleiotropy through a Phenome-wide association study (PheWAS) of epidemiologic data as part of the Environmental Architecture for Genes Linked to Environment (EAGLE) study. Plos Genetics. 10: e1004678. PMID 25474351 DOI: 10.1371/Journal.Pgen.1004678 |
0.816 |
|
| 2014 |
Barrie ES, Weinshenker D, Verma A, Pendergrass SA, Lange LA, Ritchie MD, Wilson JG, Kuivaniemi H, Tromp G, Carey DJ, Gerhard GS, Brilliant MH, Hebbring SJ, Cubells JF, Pinsonneault JK, et al. Regulatory polymorphisms in human DBH affect peripheral gene expression and sympathetic activity. Circulation Research. 115: 1017-25. PMID 25326128 DOI: 10.1161/Circresaha.116.304398 |
0.669 |
|
| 2014 |
Kim D, Shin H, Sohn KA, Verma A, Ritchie MD, Kim JH. Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction. Methods (San Diego, Calif.). 67: 344-53. PMID 24561168 DOI: 10.1016/J.Ymeth.2014.02.003 |
0.682 |
|
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