|Publication Type||Journal Article|
|Year of Publication||2021|
|Authors||Carrot-Zhang, J, Han, S, Zhou, W, Damrauer, JS, Kemal, A, Cherniack, AD, Beroukhim, R|
|Corporate Authors||Cancer Genome Atlas Analysis Network|
|Date Published||2021 Dec 17|
People of different ancestries vary in cancer risk and outcome, and their molecular differences may indicate sources of these variations. Determining the "local" ancestry composition at each genetic locus across ancestry-admixed populations can suggest causal associations. We present a protocol to identify local ancestry and detect the associated molecular changes, using data from the Cancer Genome Atlas. This workflow can be applied to cancer cohorts with matched tumor and normal data from admixed patients to examine germline contributions to cancer. For complete details on the use and execution of this protocol, please refer to Carrot-Zhang et al. (2020).
|Alternate Journal||STAR Protoc|
|PubMed Central ID||PMC8456058|