Shefali S. Verma

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 12

Top Topics

Gene Expression

Association Studies

Haplotype Inference

Dimensionality Reduction

Top Venues

GECCO (Companion)

Publications

Nadia Penrod, Chelsea Okeh, Digna Velez Edwards, Kurt Barnhart, Suneeta Senapati, Shefali S. Verma
Leveraging electronic health record data for endometriosis research. Frontiers Digit. Health 5 (2023)
Binglan Li, Yogasudha Veturi, Yukiko Bradford, Shefali S. Verma, Anurag Verma, Anastasia M. Lucas, David W. Haas, Marylyn D. Ritchie
Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. PSB (2019)
Pankhuri Singhal, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie
Neural network-based multiomics data integration in Alzheimer's disease. GECCO (Companion) (2019)
Binglan Li, Shefali S. Verma, Yogasudha Veturi, Anurag Verma, Yuki Bradford, David W. Haas, Marylyn D. Ritchie
Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression. PSB (2018)
Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li, Ruowang Li, Ryan J. Urbanowicz, Jason H. Moore, Dokyoon Kim, Marylyn D. Ritchie
Collective feature selection to identify crucial epistatic variants. BioData Min. 11 (1) (2018)
Anurag Verma, Yukiko Bradford, Scott M. Dudek, Anastasia Lucas, Shefali S. Verma, Sarah A. Pendergrass, Marylyn D. Ritchie
A simulation study investigating power estimates in phenome-wide association studies. BMC Bioinform. 19 (1) (2018)
Shefali S. Verma, Anastasia Lucas, Daniel R. Lavage, Joseph B. Leader, Raghu Metpally, Sarathbabu Krishnamurthy, Frederick E. Dewey, Ingrid B. Borecki, Alexander E. Lopez, John D. Overton, John Penn, Jeffrey G. Reid, Sarah A. Pendergrass, Gerda Breitwieser, Marylyn D. Ritchie
Identifying Genetic Associations with Variability in Metabolic Health and Blood Count Laboratory Values: Diving into the Quantitative Traits by Leveraging Longitudinal Data from an EHR. PSB (2017)
Emily Rose Holzinger, Shefali S. Verma, Carrie Colleen Buchanan Moore, Molly A. Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree, Nathan Pankratz, Antoinette Amuzu, Amber Burt, Caroline Dale, Scott M. Dudek, Clement E. Furlong, Tom R. Gaunt, Daniel Seung Kim, Helene Riess, Suthesh Sivapalaratnam, Vinicius Tragante, Erik P. A. van Iperen, Ariel Brautbar, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Eric B. Larson, Laura J. Rasmussen-Torvik, Gerard Tromp, Jens Baumert, Karen J. Cruickshanks, Martin Farrall, Aroon D. Hingorani, G. K. Hovingh, Marcus E. Kleber, Barbara E. Klein, Ronald Klein, Wolfgang Koenig, Leslie A. Lange, Winfried März, Kari E. North, N. Charlotte Onland-Moret, Alex P. Reiner, Philippa J. Talmud, Yvonne T. van der Schouw, James G. Wilson, Mika Kivimäki, Meena Kumari, Jason H. Moore, Fotios Drenos, Folkert W. Asselbergs, Brendan J. Keating, Marylyn D. Ritchie
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 10 (1) (2017)
Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. J. Am. Medical Informatics Assoc. 24 (3) (2017)
Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB (2016)
Shefali S. Verma, Alex T. Frase, Anurag Verma, Sarah A. Pendergrass, Shaun Mahony, David W. Haas, Marylyn D. Ritchie
Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG). PSB (2016)
Anurag Verma, Joseph B. Leader, Shefali S. Verma, Alex T. Frase, John R. Wallace, Scott M. Dudek, Daniel R. Lavage, Cristopher V. Van Hout, Frederick E. Dewey, John Penn, Alexander E. Lopez, John D. Overton, David J. Carey, David H. Ledbetter, H. Lester Kirchner, Marylyn D. Ritchie, Sarah A. Pendergrass
Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies. PSB (2016)
Rishika De, Shefali S. Verma, Fotios Drenos, Emily Rose Holzinger, Michael Holmes, Molly A. Hall, David R. Crosslin, David Carrell, Hakon Hakonarson, Gail P. Jarvik, Eric B. Larson, Jennifer A. Pacheco, Laura Rasmussen-Torvik, Carrie Moore, Folkert W. Asselbergs, Jason H. Moore, Marylyn D. Ritchie, Brendan Keating, Diane Gilbert-Diamond
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). BioData Min. 8 (2015)
Molly A. Hall, Shefali S. Verma, Dennis P. Wall, Jason H. Moore, Brendan Keating, Daniel B. Campbell, Gregory Gibson, Folkert W. Asselbergs, Sarah A. Pendergrass
Session Introduction. Pacific Symposium on Biocomputing (2015)
Shefali S. Verma, Peggy L. Peissig, Deanna S. Cross, Carol Waudby, Murray H. Brilliant, Catherine A. McCarty, Marylyn D. Ritchie
Benefits of Accurate Imputations in GWAS. EvoApplications (2014)
Sarah A. Pendergrass, Shefali S. Verma, Emily Rose Holzinger, Carrie Moore, John R. Wallace, Scott M. Dudek, Wayne Huggins, Terrie E. Kitchner, Carol Waudby, Richard L. Berg, Catherine A. McCarty, Marylyn D. Ritchie
Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit. Pacific Symposium on Biocomputing (2013)