Sarah A. Pendergrass

According to our database, Sarah A. Pendergrass authored at least 32 papers between 2002 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.

Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carroll, 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

npj Digit. Medicine, 2021

2019

Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico.

Xinyuan Zhang, Anna Okula Basile, Sarah A. Pendergrass, Marylyn D. Ritchie

BMC Bioinform., 2019

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.

Xinyuan Zhang, Yogasudha Veturi, Shefali Setia Verma, William Bone, Anurag Verma, Anastasia Lucas, Scott J. Hebbring, Joshua C. Denny, Ian B. 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

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Interpretation of machine learning predictions for patient outcomes in electronic health records.

William G. La Cava, Christopher R. Bauer, Jason H. Moore, Sarah A. Pendergrass

Proceedings of the AMIA 2019, 2019

2018

A simulation study investigating power estimates in phenome-wide association studies.

Anurag Verma, Yukiko Bradford, Scott M. Dudek, Anastasia Lucas, Shefali S. Verma, Sarah A. Pendergrass, Marylyn D. Ritchie

BMC Bioinform., 2018

2017

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.

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

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Opening the Door to the Large Scale Use of Clinical Lab Measures for Association Testing: Exploring Different Methods for Defining Phenotypes.

Christopher R. Bauer, Daniel R. Lavage, John Snyder, Joseph B. Leader, J. Matthew Mahoney, Sarah A. Pendergrass

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Session Introduction.

Anna Okula Basile, Anurag Verma, Marta Byrska-Bishop, Sarah A. Pendergrass, Christian Darabos, H. Lester Kirchner

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016

Pathway analysis by randomization incorporating structure - PARIS: an update.

Mariusz Butkiewicz, Jessica Cooke Bailey, Alex T. Frase, Scott M. Dudek, Brian L. Yaspan, Marylyn D. Ritchie, Sarah A. Pendergrass, Jonathan L. Haines

Bioinform., 2016

The detection and characterization of pleiotropy: discovery, progress, and promise.

Anna L. Tyler, Dana C. Crawford, Sarah A. Pendergrass

Briefings Bioinform., 2016

Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies.

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

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG).

Shefali S. Verma, Alex T. Frase, Anurag Verma, Sarah A. Pendergrass, Shaun Mahony, David W. Haas, Marylyn D. Ritchie

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2015

Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry.

Logan Dumitrescu, Nicole A. Restrepo, Robert J. Goodloe, Jonathan Boston, Eric Farber-Eger, Sarah A. Pendergrass, William S. Bush, Dana C. Crawford

BioData Min., 2015

Session Introduction.

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

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.

Joseph B. Leader, Sarah A. Pendergrass, Anurag Verma, David J. Carey, Dustin N. Hartzel, Marylyn D. Ritchie, H. Lester Kirchner

Proceedings of the AMIA 2015, 2015

2014

ATHENA: the analysis tool for heritable and environmental network associations.

Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie

Bioinform., 2014

Investigating the relationship between mitochondrial genetic variation and cardiovascular-related traits to develop a framework for mitochondrial phenome-wide association studies.

Sabrina L. Mitchell, Jacob B. Hall, Robert J. Goodloe, Jonathan Boston, Eric Farber-Eger, Sarah A. Pendergrass, William S. Bush, Dana C. Crawford

BioData Min., 2014

Knowledge-driven genomic interactions: an application in ovarian cancer.

Do Kyoon Kim, Ruowang Li, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie

BioData Min., 2014

Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors.

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

BioData Min., 2014

Session introduction.

Anna L. Tyler, Dana C. Crawford, Sarah A. Pendergrass

Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Uncovering the Etiology of Autism Spectrum Disorders: Genomics, Bioinformatics, Environment, Data Collection and Exploration, and Future Possibilities.

Sarah A. Pendergrass, Santhosh Girirajan, Scott B. Selleck

Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013

Visualizing genomic information across chromosomes with PhenoGram.

Daniel Wolfe, Scott M. Dudek, Marylyn D. Ritchie, Sarah A. Pendergrass

BioData Min., 2013

Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development.

Sarah A. Pendergrass, Alex T. Frase, John R. Wallace, Daniel Wolfe, Neerja Katiyar, Carrie Moore, Marylyn D. Ritchie

BioData Min., 2013

Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit.

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

Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

Using BioBin to Explore Rare Variant Population Stratification.

Carrie Moore, John R. Wallace, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie

Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2012

Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View.

Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie

BioData Min., 2012

A Biologically Informed Method for Detecting Associations with Rare Variants.

Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric Torstenson, Sarah A. Pendergrass, Marylyn D. Ritchie

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012

2011

Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View.

Sarah A. Pendergrass, Scott M. Dudek, Dan M. Roden, Dana C. Crawford, Marylyn D. Ritchie

Proceedings of the Biocomputing 2011: Proceedings of the Pacific Symposium, 2011

Learning Phenotype Mapping for Integrating Large Genetic Data.

Chun-Nan Hsu, Cheng-Ju Kuo, Congxing Cai, Sarah A. Pendergrass, Marylyn D. Ritchie, José Luis Ambite

Proceedings of the 2011 Workshop on Biomedical Natural Language Processing, 2011

2010

Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis.

Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie

BioData Min., 2010

2004

Microwave Breast Imaging with an Under-Determined Reconstruction Parameter Mesh.

Paul M. Meaney, Qianqian Fang, Margaret Fanning, Sarah A. Pendergrass, Timothy Raynolds, Colleen Fox, Keith D. Paulsen

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2002

Spectrum analysis of microwave breast examination data and reconstructed images.

Dun Li, Paul M. Meaney, Margaret Fanning, Qianqian Fang, Sarah A. Pendergrass, Timothy Raynolds

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002