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Date: Wednesday, February 4, 2026
Time: 10:42 AM - 10:42 AM EST
Location: Web Conference (See WebEx information below)
Speakers:
Dr. Bill Wysocki, Director of User Services, University of Chicago (UChicago)
Dr. Xin Zhou, Assistant Member, St. Jude Children's Research Hospital
Intended Audience

This webinar is designed for researchers interested in learning how to use the new GDC Correlation Plot Tool to uncover patterns in genomic variation data with clinical phenotypes. It is ideal for anyone interested in correlating simple somatic mutations, copy number variations (CNVs), gene expression, and clinical data for cancer research, regardless of their prior experience in genomics.

Abstract

The GDC released a new Correlation Plot Tool which provides a framework for correlating GDC molecular information (mutation, CNV, gene expression) with clinical and survival data. Using quick access features, researchers can compare mutation or CNV status of a gene with a clinical variable or survival, CNV and mutation for given genes, a gene's CNV with its expression, and gene expression level with survival. The tool assists in identifying statistically meaningful correlations between genomic variants and clinical phenotypes to uncover patterns that assist in enabling diagnostic and treatment discoveries. Join us for an overview and demonstration of the GDC Correlation Plot Tool, and associated data supporting correlative analysis.

Included Topics
  • Introduction to GDC data supporting correlative analysis
  • Overview and demonstration of the new GDC Correlation Plot Tool
  • Live Q&A session to address user questions and gather feedback
Webex Information

Uncovering Patterns in Genomic Variation Data with Clinical Phenotypes Using the New GDC Correlation Plot Tool

  • Wednesday, March 11, 2026
  • 2:00 pm    |    Eastern Standard Time (New York, GMT-04:00)    |    1 hr
  • Meeting number (access code): 2312 358 3097
  • Meeting password: 42eDbJY4k9@ (42332594 when dialing from a phone or video system)

REGISTER/JOIN WEBEX MEETING.

IMPORTANT NOTICE: Please note that this Webex service allows audio and other information sent during the session to be recorded, which may be discoverable in a legal matter. By joining this session, you automatically consent to such recordings. If you do not consent to being recorded, discuss your concerns with the host or do not join the session.

Can GDC data be used in commercial and academic tools?

Submitted by gaheens on

GDC data available as open-access data can be used with proper accreditation. Use of controlled-access data requires dbGaP access and users must abide by the data use agreement (DUA) associated with the study. See GDC Data Access and Sharing Policies or contact the NCI Office of Data Sharing directly for further clarification: NCIOfficeofDataSharing@mail.nih.gov.

Why does TCGABiolinks no longer work when retrieving diagnosis?

Submitted by gaheens on

TCGA clinical data was expanded in GDC Data Releases 42 and 43. TCGA clinical data used to have one diagnosis per case. With the clinical data expansion, it is possible that a TCGA case has multiple diagnoses. This could be due to pre-enrollment diagnoses or other reasons. To properly query for the diagnosis information associated with the molecular data, the primary disease flag should be set to true (i.e., diagnosis_is_primary_disease = true).

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