Analytical protocol to identify local ancestry-associated molecular features in cancer

Analytical protocol to identify local ancestry-associated molecular features in cancer

Summary: 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 prot...

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Bibliographic Details
Main Authors: Jian Carrot-Zhang, Seunghun Han, Wanding Zhou, Jeffrey S. Damrauer, Anab Kemal, Andrew D. Cherniack, Rameen Beroukhim, Ashton C. Berger, Matthew Meyerson, Katherine A. Hoadley, Ina Felau, Samantha Caesar-Johnson, John A. Demchok, Michael K.A. Mensah, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Nyasha Chambwe, Theo A. Knijnenburg, A. Gordon Robertson, Christina Yau, Christopher Benz, Kuan-lin Huang, Justin Newberg, Garret Frampton, R. Jay Mashl, Li Ding, Alessandro Romanel, Francesca Demichelis, Rosalyn W. Sayaman, Elad Ziv, Peter W. Laird, Hui Shen, Christopher K. Wong, Joshua M. Stuart, Alexander J. Lazar, Xiuning Le, Ninad Oak
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:STAR Protocols
Subjects:
Bioinformatics
Cancer
Genomics
Online Access:http://www.sciencedirect.com/science/article/pii/S266616672100472X

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http://www.sciencedirect.com/science/article/pii/S266616672100472X

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