ERVmancer: a phylogeny-guided framework for decoding human endogenous retrovirus regulatory mechanisms in health and disease

Human endogenous retroviruses (HERVs), remnants of ancient infections, comprise approximately 8% of the human genome and influence development, immunity, and cancer. Their repetitive sequences complicate short-read analysis because reads often cannot be assigned to individual loci. We present ERVmancer, a phylogeny-informed method that resolves mapping ambiguity and quantifies HERV expression from individual loci to entire clades. Benchmarking with matched long- and short-read data shows that ERVmancer surpasses existing methods in sensitivity and specificity. Applications of ERVmancer in multiple sclerosis and breast cancer reproduce long-read expression patterns and identify p53-mediated suppression of HERVH-LTR7, enabling scalable study of retroviral regulation.

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Publication Details

Journal
Genome biology
Published
2026-09-25
DOI
https://doi.org/10.1186/s13059-026-04287-5
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
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article

ERVmancer: a phylogeny-guided framework for decoding human endogenous retrovirus regulatory mechanisms in health and disease

Samantha S. Soldan, Andrew Patterson, Noam Auslander, Leena Yoon et al.
Genome biology
Chromosomal and Genetic Variations
article

ERVmancer: a phylogeny-guided framework for decoding human endogenous retrovirus regulatory mechanisms in health and disease

Samantha S. Soldan, Andrew Patterson, Noam Auslander, Leena Yoon, Steven Jacobson, Maureen E. Murphy, Bryant Duong, Anastasia Lucas, Jayamanna Wickramasinghe, Lauren MacMullen, Paul M. Lieberman, Maya Foster, Avi Srivastava
article en

Abstract

Human endogenous retroviruses (HERVs), remnants of ancient infections, comprise approximately 8% of the human genome and influence development, immunity, and cancer. Their repetitive sequences complicate short-read analysis because reads often cannot be assigned to individual loci. We present ERVmancer, a phylogeny-informed method that resolves mapping ambiguity and quantifies HERV expression from individual loci to entire clades. Benchmarking with matched long- and short-read data shows that ERVmancer surpasses existing methods in sensitivity and specificity. Applications of ERVmancer in multiple sclerosis and breast cancer reproduce long-read expression patterns and identify p53-mediated suppression of HERVH-LTR7, enabling scalable study of retroviral regulation.

Genome biology
The Wistar Institute (US), National Institute of Neurological Disorders and Stroke (US), University of Pennsylvania (US)
Good health and well-being
Openalex Percentile: Top 14%
Chromosomal and Genetic Variations
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