Evidence map›Paper›PMID 41452464›Full record

ArticleJournal of molecular evolution2026

An Evolutionary Metric for Estimating PhyloAges from Bulk Sequencing of Hematopoietic Stem Cells Reveals the Tempo of Blood Aging in Cancer and Longevity.

Jack M Craig, Ryan M Tobin, Walter Wolfsberger, Taras K Oleksyk, Sayaka Miura, Glenn S Gerhard, Sudhir Kumar

Abstract read
In one paragraph

Article in Journal of molecular evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jack M CraigInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-0590-5944
Ryan M TobinInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA.
Walter WolfsbergerDepartment of Biological Sciences, Oakland University, Rochester, MI, USA.
Taras K OleksykDepartment of Biological Sciences, Oakland University, Rochester, MI, USA.
Sayaka MiuraDepartment of Biology, University of Mississippi, Oxford, MS, 38677, USA.
Glenn S GerhardDepartment of Medical Genetics and Molecular Biochemistry, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
Sudhir KumarInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA. s.kumar@temple.edu.ORCID http://orcid.org/0000-0002-9918-8212

Funding

Bioinformatics of metastatic migration historiesR01LM013385 · NLM · TEMPLE UNIV OF THE COMMONWEALTH · PI KUMAR, SUDHIR · 2020 to 2023
$1.4M
Cellular Phylogenetics and EvolutionR01LM014005 · NLM · TEMPLE UNIV OF THE COMMONWEALTH · PI MIURA, SAYAKA · 2022 to 2024
$1.0M
EU European Neighborhood Instrument (ENI) Partnership for Genomic Research in UkraineEU European Neighborhood Instrument (ENI) RomaniaNIH HHS LM013385-04NIH HHS LM014005-03NLM NIH HHS R01 LM013385NLM NIH HHS R01 LM014005The Leona M. and Harry B. Helmsley Charitable Trust A comprehensive study of T1D exomes
6 · The paper itself

Abstract

The phylogeny of a person's hematopoietic stem cells (HSCs) can be used to quantify physiological aging of blood using a phyloAge model based on diversity decay metrics. However, this procedure currently requires accurate HSC genome sequences, which are expensive and time-consuming to obtain. We show that metrics of diversity decay can be derived from the somatic variant frequency spectrum (VFS) using more affordable, routine bulk sequencing, because HSCs evolve without recombination at a clock-like rate. We found that VFS-based models produce phyloAge estimates similar to those derived from HSC genome phylogenies. Customized for protein-coding variation and sequencing read depth, VFS-based HSC phyloAge estimates were, on average, 168 years more than chronological ages in 157 patients with acute myeloid leukemia, consistent with excess HSC aging observed in cancer patients using single cell genome phylogenies. We also tested the hypothesis that variants in cancer driver genes may confer longevity, as they occur in a significant fraction of long-lived individuals. Indeed, HSC phyloAge estimates were significantly lower, consistent with reduced hematologic cancer risk among extremely old individuals. Thus, the new metrics and models broaden the utility of the phyloAge approach, making it feasible and efficient for clinical and research applications.

Indexed as

AgingCellular SenescenceHematopoietic Stem CellsLongevityNeoplasmsEvolution, MolecularFemaleHumansLeukemia, Myeloid, AcuteMalePhylogenyHematopoietic stem cellsPhysiological agingRisk predictionSomatic mutations

Identifiers

PMID41452464
PMCPMC12920717

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.