Mining mutation contexts across the cancer genome to map tumor site of origin

The vast majority of somatic mutations observed in tumors are rare. Here, the authors show that these large numbers of rare mutations are more predictive of the tissue of origin of a tumor than the information from a few common driver mutations.

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Autores principales:	Saptarshi Chakraborty, Axel Martin, Zoe Guan, Colin B. Begg, Ronglai Shen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/b01f12ed70af4a0e98b2eb41a7bf9303
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spelling	oai:doaj.org-article:b01f12ed70af4a0e98b2eb41a7bf93032021-12-02T15:49:38ZMining mutation contexts across the cancer genome to map tumor site of origin10.1038/s41467-021-23094-z2041-1723https://doaj.org/article/b01f12ed70af4a0e98b2eb41a7bf93032021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23094-zhttps://doaj.org/toc/2041-1723The vast majority of somatic mutations observed in tumors are rare. Here, the authors show that these large numbers of rare mutations are more predictive of the tissue of origin of a tumor than the information from a few common driver mutations.Saptarshi ChakrabortyAxel MartinZoe GuanColin B. BeggRonglai ShenNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Saptarshi Chakraborty Axel Martin Zoe Guan Colin B. Begg Ronglai Shen Mining mutation contexts across the cancer genome to map tumor site of origin
description	The vast majority of somatic mutations observed in tumors are rare. Here, the authors show that these large numbers of rare mutations are more predictive of the tissue of origin of a tumor than the information from a few common driver mutations.
format	article
author	Saptarshi Chakraborty Axel Martin Zoe Guan Colin B. Begg Ronglai Shen
author_facet	Saptarshi Chakraborty Axel Martin Zoe Guan Colin B. Begg Ronglai Shen
author_sort	Saptarshi Chakraborty
title	Mining mutation contexts across the cancer genome to map tumor site of origin
title_short	Mining mutation contexts across the cancer genome to map tumor site of origin
title_full	Mining mutation contexts across the cancer genome to map tumor site of origin
title_fullStr	Mining mutation contexts across the cancer genome to map tumor site of origin
title_full_unstemmed	Mining mutation contexts across the cancer genome to map tumor site of origin
title_sort	mining mutation contexts across the cancer genome to map tumor site of origin
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b01f12ed70af4a0e98b2eb41a7bf9303
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Mining mutation contexts across the cancer genome to map tumor site of origin

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