Distinguishing excess mutations and increased cell death based on variant allele frequencies.

Tumors often harbor orders of magnitude more mutations than healthy tissues. The increased number of mutations may be due to an elevated mutation rate or frequent cell death and correspondingly rapid cell turnover, or a combination of the two. It is difficult to disentangle these two mechanisms base...

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Main Authors: Gergely Tibély, Dominik Schrempf, Imre Derényi, Gergely J Szöllősi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-04-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1010048
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author Gergely Tibély
Dominik Schrempf
Imre Derényi
Gergely J Szöllősi
author_facet Gergely Tibély
Dominik Schrempf
Imre Derényi
Gergely J Szöllősi
author_sort Gergely Tibély
collection DOAJ
description Tumors often harbor orders of magnitude more mutations than healthy tissues. The increased number of mutations may be due to an elevated mutation rate or frequent cell death and correspondingly rapid cell turnover, or a combination of the two. It is difficult to disentangle these two mechanisms based on widely available bulk sequencing data, where sequences from individual cells are intermixed and, thus, the cell lineage tree of the tumor cannot be resolved. Here we present a method that can simultaneously estimate the cell turnover rate and the rate of mutations from bulk sequencing data. Our method works by simulating tumor growth and finding the parameters with which the observed data can be reproduced with maximum likelihood. Applying this method to a real tumor sample, we find that both the mutation rate and the frequency of death may be high.
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spelling doaj.art-336401b7b3fd457abc75277995ed663c2022-12-22T03:01:41ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582022-04-01184e101004810.1371/journal.pcbi.1010048Distinguishing excess mutations and increased cell death based on variant allele frequencies.Gergely TibélyDominik SchrempfImre DerényiGergely J SzöllősiTumors often harbor orders of magnitude more mutations than healthy tissues. The increased number of mutations may be due to an elevated mutation rate or frequent cell death and correspondingly rapid cell turnover, or a combination of the two. It is difficult to disentangle these two mechanisms based on widely available bulk sequencing data, where sequences from individual cells are intermixed and, thus, the cell lineage tree of the tumor cannot be resolved. Here we present a method that can simultaneously estimate the cell turnover rate and the rate of mutations from bulk sequencing data. Our method works by simulating tumor growth and finding the parameters with which the observed data can be reproduced with maximum likelihood. Applying this method to a real tumor sample, we find that both the mutation rate and the frequency of death may be high.https://doi.org/10.1371/journal.pcbi.1010048
spellingShingle Gergely Tibély
Dominik Schrempf
Imre Derényi
Gergely J Szöllősi
Distinguishing excess mutations and increased cell death based on variant allele frequencies.
PLoS Computational Biology
title Distinguishing excess mutations and increased cell death based on variant allele frequencies.
title_full Distinguishing excess mutations and increased cell death based on variant allele frequencies.
title_fullStr Distinguishing excess mutations and increased cell death based on variant allele frequencies.
title_full_unstemmed Distinguishing excess mutations and increased cell death based on variant allele frequencies.
title_short Distinguishing excess mutations and increased cell death based on variant allele frequencies.
title_sort distinguishing excess mutations and increased cell death based on variant allele frequencies
url https://doi.org/10.1371/journal.pcbi.1010048
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