Evidence map›Paper›PMID 42463514›Full record

ReviewNature reviews. Genetics2026

Building and applying pangenome references to capture genetic diversity.

Hufsah Ashraf, Daniel Doerr, Jana Ebler, Tobias Marschall

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 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

4 authors.

Hufsah Ashraf *Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0001-7760-0627
Daniel Doerr *Center for Digital Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0002-3720-6227
Jana Ebler *Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0002-0382-3702
Tobias Marschall *Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. tobias.marschall@hhu.de.ORCID http://orcid.org/0000-0002-9376-1030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reference genomes serve as a coordinate system and are central to almost all analyses in genomics. However, linear reference genomes are based on a single individual or a small number of individuals and do not represent genetic diversity. Recent advances in de novo genome assembly, powered by long-read sequencing technologies, now enable the sequence reconstruction of many genomes to reference quality. These pangenomes integrate sequences from multiple individuals into graph-based or multi-haplotype representations, capturing genetic variation beyond a single linear reference. The widespread adoption of such pangenome references, which encode a diverse set of haplotypes, thus removes biases and enables the discovery of variants relative to all included haplotype backgrounds. The emergence of corresponding computational tools for analysing structural variants and complex genetic loci opens up opportunities in genome-wide association studies and rare-disease genetics. Here we review these opportunities, as well as challenges concerning pangenomes that need to be addressed by the research community.

Identifiers

PMID42463514

What OpenQuestion holds

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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.