Anurag Verma - Publications

Affiliations: 
Penn State Geisinger Medical Center, Hershey, PA, United States 

30 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
2010 Patel V, Wang JTL, Setia S, Verma A, Warden CD, Zhang K. On comparing two structured RNA multiple alignments Journal of Bioinformatics and Computational Biology. 8: 967-980. PMID 21121021 DOI: 10.1142/S021972001000504X  1
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