Limit theorems for the site frequency spectrum of neutral mutations in an exponentially growing population

Einar Bjarki Gunnarsson, Kevin Leder, Xuanming Zhang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The site frequency spectrum (SFS) is a widely used summary statistic of genomic data. Motivated by recent evidence for the role of neutral evolution in cancer, we investigate the SFS of neutral mutations in an exponentially growing population. Using branching process techniques, we establish (first-order) almost sure convergence results for the SFS of a Galton–Watson process, evaluated either at a fixed time or at the stochastic time at which the population first reaches a certain size. We finally use our results to construct consistent estimators for the extinction probability and the effective mutation rate of a birth–death process.

Original languageEnglish (US)
Article number104565
JournalStochastic Processes and their Applications
Volume182
DOIs
StatePublished - Apr 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier B.V.

Keywords

  • Branching processes
  • Convergence of stochastic processes
  • Infinite sites model
  • Neutral evolution
  • Site frequency spectrum

PubMed: MeSH publication types

  • Journal Article

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