Evidence map›Paper›PMID 41882415›Full record

ReviewNature genetics2026

Strand-seq and the future of personalized genomics.

Vincent C T Hanlon, Peter M Lansdorp

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Vincent C T HanlonCrop Science Centre, Department of Plant Sciences, University of Cambridge, Cambridge, UK. vcth2@cam.ac.uk.ORCID http://orcid.org/0000-0002-2008-8957
Peter M LansdorpTerry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia, Canada. plansdor@bccrc.ca.ORCID http://orcid.org/0000-0001-7435-1071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing the human genome came with the promise of refined risk assessment for heritable diseases, drug responses and other applications of personalized genomics. Genome-wide association studies that linked thousands of genetic alterations to heritable disorders have partially delivered on this promise. However, many patients with rare diseases remain undiagnosed after genome sequencing, in part because conventional sequencing studies struggle to characterize and phase all genomic variation. Chromosome-length phasing, enabled by the single-cell Strand-seq technique in combination with long-read data, has done much to improve the situation. For example, new diploid assembly analyses for personal genomes allow nearly complete descriptions of genomic variation. Moreover, a new Strand-seq-based phasing method can leverage DNA methylation to assign genetic variants not just to haplotypes but to maternally or paternally inherited homologous chromosomes, representing a new frontier in personalized genomics. Here we review the principles and application of Strand-seq, a key enabler of these developments.

Indexed as

Genome, HumanGenomicsPrecision MedicineSequence Analysis, DNADNA MethylationGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.