DeTiN: overcoming tumor-in-normal contamination.
Nat Methods
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Abstract | Comparison of sequencing data from a tumor sample with data from a matched germline control is a key step for accurate detection of somatic mutations. Detection sensitivity for somatic variants is greatly reduced when the matched normal sample is contaminated with tumor cells. To overcome this limitation, we developed deTiN, a method that estimates the tumor-in-normal (TiN) contamination level and, in cases affected by contamination, improves sensitivity by reclassifying initially discarded variants as somatic. |
Year of Publication | 2018
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Journal | Nat Methods
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Volume | 15
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Issue | 7
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Pages | 531-534
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Date Published | 2018 07
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ISSN | 1548-7105
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DOI | 10.1038/s41592-018-0036-9
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PubMed ID | 29941871
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PubMed Central ID | PMC6528031
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Grant list | P01 CA206978 / CA / NCI NIH HHS / United States
R01 CA184922 / CA / NCI NIH HHS / United States
R01 CA182461 / CA / NCI NIH HHS / United States
T32 HG002295 / HG / NHGRI NIH HHS / United States
U24 CA143845 / CA / NCI NIH HHS / United States
U10 CA180861 / CA / NCI NIH HHS / United States
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