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Updated: Nov 5, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Integrative modeling identifies genetic ancestry-associated molecular correlates in human cancer
A Gordon Robertson1, Christina Yau2,3, Jian Carrot-Zhang4,5,6
1Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada.
Abstract:
Cellular and molecular aberrations contribute to the disparity of human cancer incidence and etiology between ancestry groups. Multiomics profiling in The Cancer Genome Atlas (TCGA) allows for querying of the molecular underpinnings of ancestry-specific discrepancies in human cancer. Here, we provide a protocol for integrative associative analysis of ancestry with molecular correlates, including somatic mutations, DNA methylation, mRNA transcription, miRNA transcription, and pathway activity, using TCGA data. This protocol can be generalized to analyze other cancer cohorts and human diseases. For complete details on the use and execution of this protocol, please refer to Carrot-Zhang et al. (2020).
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