Sarah A. Pendergrass

Publication Activity (10 Years)

Years Active: 2002-2021
Publications (10 Years): 16

Top Topics

Knowledge Driven

Association Studies

Haplotype Inference

Top Venues

Pacific Symposium on Biocomputing

Publications

Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carrol, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 4 (2021)
Xinyuan Zhang, Yogasudha Veturi, Shefali Setia Verma, William Bone, Anurag Verma, Anastasia Lucas, Scott J. Hebbring, Joshua C. Denny, Ian Stanaway, Gail P. Jarvik, David R. Crosslin, Eric B. Larson, Laura Rasmussen-Torvik, Sarah A. Pendergrass, Jordan W. Smoller, Hakon Hakonarson, Patrick Sleiman, Chunhua Weng, David Fasel, Wei-Qi Wei, Iftikhar J. Kullo, Daniel J. Schaid, Wendy K. Chung, Marylyn D. Ritchie
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. PSB (2019)
Xinyuan Zhang, Anna Okula Basile, Sarah A. Pendergrass, Marylyn D. Ritchie
Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico. BMC Bioinform. 20 (1) (2019)
William G. La Cava, Christopher R. Bauer, Jason H. Moore, Sarah A. Pendergrass
Interpretation of machine learning predictions for patient outcomes in electronic health records. AMIA (2019)
William G. La Cava, Christopher R. Bauer, Jason H. Moore, Sarah A. Pendergrass
Interpretation of machine learning predictions for patient outcomes in electronic health records. CoRR (2019)
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)
Christopher R. Bauer, Daniel R. Lavage, John Snyder, Joseph B. Leader, J. Matthew Mahoney, Sarah A. Pendergrass
Opening the Door to the Large Scale Use of Clinical Lab Measures for Association Testing: Exploring Different Methods for Defining Phenotypes. PSB (2017)
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)
Anna Okula Basile, Anurag Verma, Marta Byrska-Bishop, Sarah A. Pendergrass, Christian Darabos, H. Lester Kirchner
Session Introduction. PSB (2017)
Anna L. Tyler, Dana C. Crawford, Sarah A. Pendergrass
The detection and characterization of pleiotropy: discovery, progress, and promise. Briefings Bioinform. 17 (1) (2016)
Mariusz Butkiewicz, Jessica Cooke Bailey, Alex T. Frase, Scott M. Dudek, Brian L. Yaspan, Marylyn D. Ritchie, Sarah A. Pendergrass, Jonathan L. Haines
Pathway analysis by randomization incorporating structure - PARIS: an update. Bioinform. 32 (15) (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)
Logan Dumitrescu, Nicole A. Restrepo, Robert J. Goodloe, Jonathan Boston, Eric Farber-Eger, Sarah A. Pendergrass, William S. Bush, Dana C. Crawford
Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry. BioData Min. 8 (2015)
Joseph B. Leader, Sarah A. Pendergrass, Anurag Verma, David J. Carey, Dustin N. Hartzel, Marylyn D. Ritchie, H. Lester Kirchner
Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. AMIA (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)
Sabrina L. Mitchell, Jacob B. Hall, Robert J. Goodloe, Jonathan Boston, Eric Farber-Eger, Sarah A. Pendergrass, William S. Bush, Dana C. Crawford
Investigating the relationship between mitochondrial genetic variation and cardiovascular-related traits to develop a framework for mitochondrial phenome-wide association studies. BioData Min. 7 (2014)
Do Kyoon Kim, Ruowang Li, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie
Knowledge-driven genomic interactions: an application in ovarian cancer. BioData Min. 7 (2014)
Sarah A. Pendergrass, Santhosh Girirajan, Scott B. Selleck
Uncovering the Etiology of Autism Spectrum Disorders: Genomics, Bioinformatics, Environment, Data Collection and Exploration, and Future Possibilities. Pacific Symposium on Biocomputing (2014)
Anna L. Tyler, Dana C. Crawford, Sarah A. Pendergrass
Session introduction. Pacific Symposium on Biocomputing (2014)
Timothy H. Ciesielski, Sarah A. Pendergrass, Marquitta J. White, Nuri Kodaman, Rafal S. Sobota, Minjun Huang, Jacquelaine Bartlett, Jing Li, Qinxin Pan, Jiang Gui, Scott B. Selleck, Christopher I. Amos, Marylyn D. Ritchie, Jason H. Moore, Scott M. Williams
Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. BioData Min. 7 (2014)
Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie
ATHENA: the analysis tool for heritable and environmental network associations. Bioinform. 30 (5) (2014)
Daniel Wolfe, Scott M. Dudek, Marylyn D. Ritchie, Sarah A. Pendergrass
Visualizing genomic information across chromosomes with PhenoGram. BioData Min. 6 (2013)
Sarah A. Pendergrass, Alex T. Frase, John R. Wallace, Daniel Wolfe, Neerja Katiyar, Carrie Moore, Marylyn D. Ritchie
Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. BioData Min. 6 (2013)
Carrie Moore, John R. Wallace, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie
Using BioBin to Explore Rare Variant Population Stratification. Pacific Symposium on Biocomputing (2013)
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)
Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie
Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View. BioData Min. 5 (2012)
Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric Torstenson, Sarah A. Pendergrass, Marylyn D. Ritchie
A Biologically Informed Method for Detecting Associations with Rare Variants. EvoBIO (2012)
Chun-Nan Hsu, Cheng-Ju Kuo, Congxing Cai, Sarah A. Pendergrass, Marylyn D. Ritchie, José Luis Ambite
Learning Phenotype Mapping for Integrating Large Genetic Data. BioNLP@ACL (2011)
Sarah A. Pendergrass, Scott M. Dudek, Dan M. Roden, Dana C. Crawford, Marylyn D. Ritchie
Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View. Pacific Symposium on Biocomputing (2011)
Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie
Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis. BioData Min. 3 (2010)
Paul M. Meaney, Qianqian Fang, Margaret Fanning, Sarah A. Pendergrass, Timothy Raynolds, Colleen Fox, Keith D. Paulsen
Microwave Breast Imaging with an Under-Determined Reconstruction Parameter Mesh. ISBI (2004)
Dun Li, Paul M. Meaney, Margaret Fanning, Qianqian Fang, Sarah A. Pendergrass, Timothy Raynolds
Spectrum analysis of microwave breast examination data and reconstructed images. ISBI (2002)