Evidence map›Paper›PMID 40694609›Full record

ArticleGenetics2026

PhaseGen: exact solutions for time-inhomogeneous multivariate coalescent distributions under diverse demographies.

Janek Sendrowski, Asger Hobolth

Erratum issuedAbstract read
In one paragraph

Article in Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Janek SendrowskiBioinformatics Research Center, Aarhus University, Aarhus 8000, Denmark.ORCID 0009-0004-2873-2534
Asger HobolthDepartment of Mathematics, Aarhus University, Aarhus 8000, Denmark.

Funding

Data Science Collaborative Research Programme 0069105Novo Nordisk Foundation
6 · The paper itself

Abstract

Phase-type theory is emerging as a powerful framework for modeling coalescent processes, allowing for the exact computation of quantities of interest. This includes moments of tree height, total branch length, the site-frequency spectrum, and the full distribution of the time to the most recent common ancestor. However, prior applications have largely been limited to time-homogeneous settings, with constant population sizes and migration rates, restricting the range of demographic scenarios that can be modeled. In this study, we apply time-inhomogeneous phase-type theory to enable the exact computation of (cross-)moments of arbitrary order and reward structure under piecewise-constant demographies. This extension enables the modeling of significantly more complex demographic scenarios, including population expansions, contractions, bottlenecks, and splits. It furthermore supports fitting demographic models to data through gradient-based optimization. To support these advancements, we introduce PhaseGen-a software package designed for the numerically stable computation of exact moments under diverse demographic scenarios, with support for gradient-based parameter estimation.

Indexed as

Genetics, PopulationModels, GeneticSoftwareHumanscoalescent theorydemographic inferencemultiple-merger coalescentsnumerical optimizationphase-type theorypopulation geneticsSFSsoftwarestatistical inferencetime-inhomogeneous processes

Identifiers

PMID40694609
PMCPMC12774837

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.