Integrative modeling identifies genetic ancestry-associated molecular correlates in human cancer.

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).
Competing Interests: A.D.C. receives research funding from Bayer. R.B. owns equity in and consults for Scorpion Therapeutics and receives research funding from Novartis. W.Z. receives research funding from FOXO BioScience.
(© 2021 The Author(s).)