Irene Ong

About

Irene M. Ong is an Assistant Professor at the University of Wisconsin in the Departments of Obstetrics and Gynecology with a joint appointment in Biostatistics and Medical Informatics. She also serves as the Associate Director of the University of Wisconsin Carbone Cancer Center's Cancer Informatics Shared Resource. Her research interests encompass data mining, artificial intelligence, machine learning, probabilistic methods, dynamical models, inductive logic programming, and statistical relational learning, with a focus on applications to biological and medical data. Irene is particularly interested in the integration and analysis of diverse molecular data types including clinical, genomics, transcriptomics, proteomics, immunome, metagenomics, and metabolomics data, especially as these relate to precision medicine. Irene earned dual bachelor's degrees in Computer Sciences and Biological Sciences from Cornell University and completed her PhD in Computer Sciences under the mentorship of David Page at the University of Wisconsin-Madison.

Research topics

• Biology
• Genetics
• Medicine
• Pathology
• Immunology
• Cancer research
• Internal medicine
• Environmental health
• Endocrinology
• Virology

Selected publications

• A Population-Based Study of Genes Previously Implicated in Breast Cancer

  New England Journal of Medicine · 2021 · 851 citations

  BACKGROUND: Population-based estimates of the risk of breast cancer associated with germline pathogenic variants in cancer-predisposition genes are critically needed for risk assessment and management in women with inherited pathogenic variants. METHODS: In a population-based case-control study, we performed sequencing using a custom multigene amplicon-based panel to identify germline pathogenic variants in 28 cancer-predisposition genes among 32,247 women with breast cancer (case patients) and…

  PublisherOA PDFDOI

• Sex and genetic background define the metabolic, physiologic, and molecular response to protein restriction

  Cell Metabolism · 2022 · 110 citations

  DOI

• The landscape of antibody binding in SARS-CoV-2 infection

  PLoS Biology · 2021 · 89 citations

  Senior authorCorresponding

  The search for potential antibody-based diagnostics, vaccines, and therapeutics for pandemic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has focused almost exclusively on the spike (S) and nucleocapsid (N) proteins. Coronavirus membrane (M), ORF3a, and ORF8 proteins are humoral immunogens in other coronaviruses (CoVs) but remain largely uninvestigated for SARS-CoV-2. Here, we use ultradense peptide microarray mapping to show that SARS-CoV-2 infection induces robust antibody resp…

  DOI

• Expression quantitative trait locus fine mapping of the 17q12–21 asthma locus in African American children: a genetic association and gene expression study

  The Lancet Respiratory Medicine · 2020 · 71 citations

  PublisherOA PDFDOI

• Development and characterization of patient-derived xenografts from non-small cell lung cancer brain metastases

  Scientific Reports · 2021 · 36 citations

  Non-small cell lung cancer (NSCLC) brain metastasis cell lines and in vivo models are not widely accessible. Herein we report on a direct-from patient-derived xenograft (PDX) model system of NSCLC brain metastases with genomic annotation useful for translational and mechanistic studies. Both heterotopic and orthotopic intracranial xenografts were established and RNA and DNA sequencing was performed on patient and matching tumors. Morphologically, strong retention of cytoarchitectural features wa…

  DOI

Recent grants

• Project 2: Relating the functional capacities of the GI and nasal microbiomes to immune development in children from traditional and modern exposures

  NIH · $36.4M · 2013–2028

Frequent coauthors

• Sean McIlwain

  University of Wisconsin–Madison

  123 shared

• Randall J. Kimple

  63 shared

• Michael A. Newton

  University of Wisconsin–Madison

  49 shared

• Kwangok P. Nickel

  43 shared

• Kristina A. Matkowskyj

  Mayo Clinic in Arizona

  38 shared

• Paul M. Sondel

  University of Wisconsin–Madison

  34 shared

• Robert Landick

  University of Wisconsin–Madison

  33 shared

• Mark R. Albertini

  University of Wisconsin Carbone Cancer Center

  30 shared

Labs

• Irene Ong LabPI

  Data mining, artificial intelligence, machine learning, probabilistic methods, dynamical models, inductive logic programming, and statistical relational learning with applications to biological and medical data.

Education

• Ph.D., Biostatistics

  University of Wisconsin-Madison

  2000

• M.S., Biostatistics

  University of Wisconsin-Madison

  1996

• B.S., Mathematics

  University of Wisconsin-Madison

  1994

Similar researchers at University of Wisconsin-Madison

• Ron Gangnonh-85
• Karl Bromanh-68