Inferring genetic ancestry from cancer sequencing data

Kanika Arora; Michael F Berger

doi:10.1016/j.tig.2023.03.003

Inferring genetic ancestry from cancer sequencing data

Trends Genet. 2023 Jun;39(6):431-432. doi: 10.1016/j.tig.2023.03.003. Epub 2023 Mar 25.

Authors

Kanika Arora¹, Michael F Berger²

Affiliations

¹ Marie Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
² Marie Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: [email protected].

PMID: 36973098
DOI: 10.1016/j.tig.2023.03.003

Abstract

Genetic ancestry is an important biological determinant of cancer health disparities that is not captured by self-identified race and ethnicity (SIRE). Belleau et al. recently developed a systematic computational approach to infer genetic ancestry from cancer-derived molecular data from different genomic and transcriptomic profiling assays, creating opportunities to interrogate population-scale data sets.

Keywords: ancestry; tumor sequencing.

MeSH terms

Ethnicity*
Genome
Genomics
Humans
Neoplasms* / genetics