Evidence map›Paper›PMID 40797266›Full record

ArticleGenome biology2025

Y-mer: a k-mer based method for determining human Y chromosome haplogroups from ultra-low sequencing depth data.

Tarmo Puurand, Märt Möls, Lauris Kaplinski, Kadri Maal, Kaarel Krjutskov, Andres Salumets, Toomas Kivisild, Maido Remm

Abstract read
In one paragraph

Article in Genome biology, 2025. 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
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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

8 authors.

Tarmo PuurandInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia. tarmo.puurand@ut.ee.
Märt MölsInstitute of Mathematics and Statistics, University of Tartu, Tartu, Estonia.
Lauris KaplinskiInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Kadri MaalInstitute of Genomics, University of Tartu, Tartu, Estonia.
Kaarel KrjutskovDepartment of Obstetrics and Gynaecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
Andres SalumetsDepartment of Obstetrics and Gynaecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
Toomas KivisildInstitute of Genomics, University of Tartu, Tartu, Estonia.
Maido RemmInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.

Funding

Estonian Business and Innovation Agency RE.5.04.23-0214Estonian Research Council PRG1076Estonian Research Council TEM-TA35, 2021-2027.1.01.24-0627Fonds Wetenschappelijk Onderzoek G0A4521NHorizon Europe NESTOR 101120075
6 · The paper itself

Abstract

Determining genetic ancestry of an individual is challenging from poorly preserved or mixed samples that permit only ultra-low coverage sequence at depths less than 0.1 × at target loci. Leveraging recent advances in telomere-to-telomere sequencing of whole genomes with long reads, we develop a new k-mer based method, Y-mer, and show how information from hundreds of thousands of k-mers in distance-based models enables accurate inference of chrY haplogroup from whole-genome sequence at depth less than 0.01x. We test the performance of Y-mer on ancient DNA and prenatal screening data, showing its potential for genetic ancestry inference for cell-free, forensic and ancient DNA research.

Indexed as

Chromosomes, Human, YHaplotypesDNA, AncientHigh-Throughput Nucleotide SequencingHumansMaleSequence Analysis, DNADNA, AncientaDNAchrYHaplogroups predictionHumanK-merNIPSNIPTulcWGS

Identifiers

PMID40797266
PMCPMC12341214

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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.