# A CUSUM approach to the detection of copy-number neutral loss of heterozygosity

## TL;DR

This paper introduces a CUSUM-based algorithm for detecting copy-number neutral loss of heterozygosity (LOH) in DNA, which is crucial for understanding cancer genetics, demonstrating high reliability and speed even with contaminated data.

## Contribution

It formulates LOH detection as change-point identification in a mixture model and proposes a novel CUSUM algorithm for efficient detection.

## Key findings

- Fast and reliable detection method
- Effective under mild contamination
- Applicable to copy-number neutral LOH

## Abstract

Several genetic alterations are involved in the genesis and development of cancers. The determination of whether and how each genetic alterations contributes to cancer development is fundamental for a complete understanding of the human cancer etiology. Loss of heterozygosity (LOH) is one of such genetic phenomenon linked to a variate of diseases and characterized by the change from heterozygosity (the presence of both alleles of a gene) to to homozygosity (presence of only one type of allele) in a particular DNA locus. Thus identification of DNA regions where LOH has taken place is a important issue in the health sciences. In this article we formulate the LOH detection as the identification of change-points in the parameters of a mixture model and present a detection algorithm based on the cumulative sums (CUSUM) method. We found that even under mild contamination our proposal is a fast and reliable method.