Gwênlyn Glusman, PhD

Principal Scientist

Hood Lab

Dr. Gwênlyn Glusman is a Principal Scientist at the Institute for Systems Biology. She received her PhD in computational genomics from the Weizmann Institute of Sciences. Her graduate work focused on the genomic structure and evolution of the olfactory receptor gene superfamily.

Glusman uses computational approaches to investigate genome structure, function and evolution, and to study disease and wellness genetics. She has developed novel algorithms for gene discovery, for the interpretation of large-scale transcriptomic and genomic data, for family genomics, and for analysis, modeling and visualization of complex data.

PhD, Biology, Weizmann Institute, 2002

Computational Genomics and Transcriptomics

2323737 2RQKSFR5 glusman 1 chicago-author-date-16th-edition 50 date year 1 1 7965 https://isbscience.org/wp-content/plugins/zotpress/

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Ellis, Dylan, Kengo Watanabe, Tomasz Wilmanski, Michael S. Lustgarten, Andres V. Ardisson Korat, Gwênlyn Glusman, Jennifer J. Hadlock, et al. 2024. “APOE Genotype and Biological Age Impact Inter-Omic Associations Related to Bioenergetics.” bioRxiv. http://doi.org/10.1101/2024.10.17.618322. Cite Download

Qin, Guangrong, Kamileh Narsinh, Qi Wei, Jared C. Roach, Arpita Joshi, Skye L. Goetz, Sierra T. Moxon, et al. 2024. “Generating Biomedical Knowledge Graphs from Knowledge Bases, Registries, and Multiomic Data.” bioRxiv. http://doi.org/10.1101/2024.11.14.623648. Cite Download

Watanabe, Kengo, Tomasz Wilmanski, Priyanka Baloni, Max Robinson, Gonzalo G. Garcia, Michael R. Hoopmann, Mukul K. Midha, et al. 2023. “Lifespan-Extending Interventions Induce Consistent Patterns of Fatty Acid Oxidation in Mouse Livers.” Communications Biology 6 (1): 768. http://doi.org/10.1038/s42003-023-05128-y. Cite

Pflieger, Lance, Kengo Watanabe, Max Robinson, Gustavo Glusman, Jodi Lapidus, Oliver Fiehn, Robert Moritz, and Noa Rappaport. 2023. “PROSPECTIVE MULTI-OMIC ANALYSIS OF HUMAN LONGEVITY COHORTS IDENTIFIES ANALYTE NETWORKS ASSOCIATED WITH LONGEVITY.” Innovation in Aging 7 (Suppl 1): 691–92. http://doi.org/10.1093/geroni/igad104.2245. Cite Download

Fecho, Karamarie, Chris Bizon, Tursynay Issabekova, Sierra Moxon, Anne E. Thessen, Shervin Abdollahi, Sergio E. Baranzini, et al. 2023. “An Approach for Collaborative Development of a Federated Biomedical Knowledge Graph-Based Question-Answering System: Question-of-the-Month Challenges.” Journal of Clinical and Translational Science 7 (1): e214. http://doi.org/10.1017/cts.2023.619. Cite Download

Roach, Jared C., Molly K. Rapozo, Junko Hara, Gwênlyn Glusman, Jennifer Lovejoy, William R. Shankle, Leroy Hood, and COCOA Consortium: 2023. “A Remotely Coached Multimodal Lifestyle Intervention for Alzheimer’s Disease Ameliorates Functional and Cognitive Outcomes.” Journal of Alzheimer’s Disease: JAD 96 (2): 591–607. http://doi.org/10.3233/JAD-230403. Cite

Fecho, Karamarie, Anne E. Thessen, Sergio E. Baranzini, Chris Bizon, Jennifer J. Hadlock, Sui Huang, Ryan T. Roper, et al. 2022. “Progress toward a Universal Biomedical Data Translator.” Clinical and Translational Science. http://doi.org/10.1111/cts.13301. Cite

Robinson, Max, Arpita Joshi, Ansh Vidyarthi, Mary Maccoun, Sanjay Rangavajjhala, and Gustavo Glusman. 2022. “Quality Control of Large Genome Datasets.” HGG Advances 3 (3): 100123. http://doi.org/10.1016/j.xhgg.2022.100123. Cite Download

Unni, Deepak R., Sierra A. T. Moxon, Michael Bada, Matthew Brush, Richard Bruskiewich, J. Harry Caufield, Paul A. Clemons, et al. 2022. “Biolink Model: A Universal Schema for Knowledge Graphs in Clinical, Biomedical, and Translational Science.” Clinical and Translational Science 15 (8): 1848–55. http://doi.org/10.1111/cts.13302. Cite Download

Watanabe, Kengo, Tomasz Wilmanski, Priyanka Baloni, Max Robinson, Gonzalo G. Garcia, Michael R. Hoopmann, Mukul K. Midha, et al. 2022. “Systems-Level Patterns in Biological Processes Are Changed under Prolongevity Interventions and across Biological Age.” medRxiv. http://doi.org/10.1101/2022.07.11.22277435. Cite Download

Roach, Jared C., Lance Edens, Daria R. Markewych, Molly K. Rapozo, Junko Hara, Gustavo Glusman, Cory Funk, et al. 2022. “A Multimodal Intervention for Alzheimer’s Disease Results in Multifaceted Systemic Effects Reflected in Blood and Ameliorates Functional and Cognitive Outcomes.” medRxiv. http://doi.org/10.1101/2022.09.27.22280385. Cite Download

Wilmanski, Tomasz, Christian Diener, Noa Rappaport, Sushmita Patwardhan, Jack Wiedrick, Jodi Lapidus, John C. Earls, et al. 2021. “Gut Microbiome Pattern Reflects Healthy Ageing and Predicts Survival in Humans.” Nature Metabolism 3 (2): 274–86. http://doi.org/10.1038/s42255-021-00348-0. Cite

Corpas, Manuel, Stephan Beck, Gustavo Glusman, and Mahsa Shabani. 2021. “Editorial: Personal Genomes: Accessing, Sharing, and Interpretation.” Frontiers in Genetics 12: 687584. http://doi.org/10.3389/fgene.2021.687584. Cite Download

Funk, Cory C., Alex M. Casella, Segun Jung, Matthew A. Richards, Alex Rodriguez, Paul Shannon, Rory Donovan-Maiye, et al. 2020. “Atlas of Transcription Factor Binding Sites from ENCODE DNase Hypersensitivity Data across 27 Tissue Types.” Cell Reports 32 (7): 108029. http://doi.org/10.1016/j.celrep.2020.108029. Cite Download

Madduri, Ravi, Kyle Chard, Mike D’Arcy, Segun C. Jung, Alexis Rodriguez, Dinanath Sulakhe, Eric Deutsch, et al. 2019. “Reproducible Big Data Science: A Case Study in Continuous FAIRness.” PloS One 14 (4): e0213013. http://doi.org/10.1371/journal.pone.0213013. Cite Download

Knijnenburg, Theo A., Joseph G. Vockley, Nyasha Chambwe, David L. Gibbs, Crystal Humphries, Kathi C. Huddleston, Elisabeth Klein, et al. 2019. “Genomic and Molecular Characterization of Preterm Birth.” Proceedings of the National Academy of Sciences of the United States of America 116 (12): 5819–27. http://doi.org/10.1073/pnas.1716314116. Cite Download

Wu, Zhenfeng, Weixiang Liu, Xiufeng Jin, Haishuo Ji, Hua Wang, Gustavo Glusman, Max Robinson, Lin Liu, Jishou Ruan, and Shan Gao. 2019. “NormExpression: An R Package to Normalize Gene Expression Data Using Evaluated Methods.” Frontiers in Genetics 10: 400. http://doi.org/10.3389/fgene.2019.00400. Cite Download

Ahalt, Stanley C., Christopher G. Chute, Karamarie Fecho, Gustavo Glusman, Jennifer Hadlock, Casey Overby Taylor, Emily R. Pfaff, et al. 2019. “Clinical Data: Sources and Types, Regulatory Constraints, Applications.” Clinical and Translational Science. http://doi.org/10.1111/cts.12638. Cite Download

Rubin, Irit R., and Gustavo Glusman. 2019. “Opportunities and Challenges in Interpreting and Sharing Personal Genomes.” Genes 10 (9). http://doi.org/10.3390/genes10090643. Cite Download

Zhou, Yong, Shizhen Qin, Mingjuan Sun, Li Tang, Xiaowei Yan, Taek-Kyun Kim, Juan Caballero, et al. 2019. “Measurement of Organ-Specific and Acute-Phase Blood Protein Levels in Early Lyme Disease.” Journal of Proteome Research. http://doi.org/10.1021/acs.jproteome.9b00569. Cite Download

Fecho, Karamarie, Stanley C. Ahalt, Saravanan Arunachalam, James Champion, Christopher G. Chute, Sarah Davis, Kenneth Gersing, et al. 2019. “Sex, Obesity, Diabetes, and Exposure to Particulate Matter among Patients with Severe Asthma: Scientific Insights from a Comparative Analysis of Open Clinical Data Sources during a Five-Day Hackathon.” Journal of Biomedical Informatics 100: 103325. http://doi.org/10.1016/j.jbi.2019.103325. Cite

Goldmann, Jakob M., Wendy S. W. Wong, Michele Pinelli, Terry Farrah, Dale Bodian, Anna B. Stittrich, Gustavo Glusman, et al. 2018. “Author Correction: Parent-of-Origin-Specific Signatures of de Novo Mutations.” Nature Genetics 50 (11): 1615. http://doi.org/10.1038/s41588-018-0226-5. Cite

Trachana, Kalliopi, Rhishikesh Bargaje, Gustavo Glusman, Nathan D. Price, Sui Huang, and Leroy E. Hood. 2018. “Taking Systems Medicine to Heart.” Circulation Research 122 (9): 1276–89. http://doi.org/10.1161/CIRCRESAHA.117.310999. Cite

Joesch-Cohen, Lena M., Max Robinson, Neda Jabbari, Christopher G. Lausted, and Gustavo Glusman. 2018. “Novel Metrics for Quantifying Bacterial Genome Composition Skews.” BMC Genomics 19 (1): 528. http://doi.org/10.1186/s12864-018-4913-5. Cite

Magis, Andrew T., John C. Earls, Gustavo Glusman, Gilbert S. Omenn, Jennifer C. Lovejoy, Nathan D. Price, and Leroy Hood. 2018. “Reply to ‘Precision Medicine in the Clouds.’” Nature Biotechnology 36 (8): 680–82. http://doi.org/10.1038/nbt.4211. Cite

Jabbari, Neda, Gustavo Glusman, Lena M. Joesch-Cohen, Panga Jaipal Reddy, Robert L. Moritz, Leroy Hood, and Christopher G. Lausted. 2018. “Whole Genome Sequence and Comparative Analysis of Borrelia Burgdorferi MM1.” PLOS ONE 13 (6): e0198135. http://doi.org/10.1371/journal.pone.0198135. Cite Download

Robinson, Max, Jennifer Hadlock, Jiyang Yu, Alireza Khatamian, Aleksandr Y. Aravkin, Eric W. Deutsch, Nathan D. Price, Sui Huang, and Gustavo Glusman. 2018. “Fast and Simple Comparison of Semi-Structured Data, with Emphasis on Electronic Health Records.” bioRxiv, 293183. http://doi.org/10.1101/293183. Cite Download

Deutsch, Eric, Roger Kramer, Joseph Ames, Andrew Bauman, David S. Campbell, Kyle Chard, Kristi Clark, et al. 2018. “BDQC: A General-Purpose Analytics Tool for Domain-Blind Validation of Big Data.” bioRxiv, 258822. http://doi.org/10.1101/258822. Cite Download

Glusman, Gustavo, Denise E. Mauldin, Leroy E. Hood, and Max Robinson. 2017. “Ultrafast Comparison of Personal Genomes.” bioRxiv, June, 130807. http://doi.org/10.1101/130807. Cite Download

Glusman, Gustavo, Peter W. Rose, Andreas Prlić, Jennifer Dougherty, José M. Duarte, Andrew S. Hoffman, Geoffrey J. Barton, et al. 2017. “Mapping Genetic Variations to Three-Dimensional Protein Structures to Enhance Variant Interpretation: A Proposed Framework.” Genome Medicine 9 (1): 113. http://doi.org/10.1186/s13073-017-0509-y. Cite

Hu, Hao, Nayia Petousi, Gustavo Glusman, Yao Yu, Ryan Bohlender, Tsewang Tashi, Jonathan M. Downie, et al. 2017. “Evolutionary History of Tibetans Inferred from Whole-Genome Sequencing.” PLoS Genetics 13 (4): e1006675. http://doi.org/10.1371/journal.pgen.1006675. Cite

Price, Nathan D., Andrew T. Magis, John C. Earls, Gustavo Glusman, Roie Levy, Christopher Lausted, Daniel T. McDonald, et al. 2017. “A Wellness Study of 108 Individuals Using Personal, Dense, Dynamic Data Clouds.” Nature Biotechnology. http://doi.org/10.1038/nbt.3870. Cite

Joesch-Cohen, Lena M., and Gustavo Glusman. 2017. “Differences between the Genomes of Lymphoblastoid Cell Lines and Blood-Derived Samples.” Advances in Genomics and Genetics 7: 1–9. http://doi.org/10.2147/AGG.S128824. Cite

Glusman, Gustavo. 2017. “A Data-Rich Longitudinal Wellness Study for the Digital Age: Fixing a Broken Medical System Requires Data About Each Patient.” IEEE Pulse 8 (4): 11–14. http://doi.org/10.1109/MPUL.2016.2647038. Cite

Glusman, Gustavo, Denise E. Mauldin, Leroy E. Hood, and Max Robinson. 2017. “Ultrafast Comparison of Personal Genomes via Precomputed Genome Fingerprints.” Frontiers in Genetics 8: 136. http://doi.org/10.3389/fgene.2017.00136. Cite

Robinson, Max, and Gustavo Glusman. 2017. “Genotype Fingerprints Enable Fast and Private Comparison of Genetic Testing Results for Research and Direct-to-Consumer Applications.” bioRxiv, 208025. http://doi.org/10.1101/208025. Cite Download

Joesch-Cohen, Lena M., Max Robinson, Neda Jabbari, Christopher Lausted, and Gustavo Glusman. 2017. “Novel Metrics for Quantifying Bacterial Genome Composition Skews.” bioRxiv, 176370. http://doi.org/10.1101/176370. Cite Download

McDonald, D., G. Glusman, and N.D. Price. 2016. “Personalized Nutrition through Big Data.” Nature Biotechnology 34 (2): 152–54. http://doi.org/10.1038/nbt.3476. Cite

Stittrich, Anna B, Justin Ashworth, Mude Shi, Max Robinson, Denise Mauldin, Mary E Brunkow, Shameek Biswas, et al. 2016. “Genomic Architecture of Inflammatory Bowel Disease in Five Families with Multiple Affected Individuals.” Human Genome Variation 3 (January): 15060. http://doi.org/10.1038/hgv.2015.60. Cite

Dinov, Ivo D., Ben Heavner, Ming Tang, Gustavo Glusman, Kyle Chard, Mike Darcy, Ravi Madduri, et al. 2016. “Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations.” PloS One 11 (8): e0157077. http://doi.org/10.1371/journal.pone.0157077. Cite

Qin, Shizhen, Yong Zhou, Li Gray, Ulrike Kusebauch, Laurence McEvoy, Daniel J. Antoine, Lucy Hampson, et al. 2016. “Identification of Organ-Enriched Protein Biomarkers of Acute Liver Injury by Targeted Quantitative Proteomics of Blood in Acetaminophen- and Carbon-Tetrachloride-Treated Mouse Models and Acetaminophen Overdose Patients.” Journal of Proteome Research. http://doi.org/10.1021/acs.jproteome.6b00547. Cite

Goldmann, Jakob M., Wendy S. W. Wong, Michele Pinelli, Terry Farrah, Dale Bodian, Anna B. Stittrich, Gustavo Glusman, et al. 2016. “Parent-of-Origin-Specific Signatures of de Novo Mutations.” Nature Genetics. http://doi.org/10.1038/ng.3597. Cite