Evidence map›Paper›PMID 41107550›Full record

ArticleNature genetics2025

Genotyping sequence-resolved copy number variation using pangenomes reveals paralog-specific global diversity and expression divergence of duplicated genes.

Walfred Ma, Mark J P Chaisson

Erratum issuedAbstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Walfred MaQuantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-8650-5541
Mark J P ChaissonQuantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA. mchaisso@usc.edu.ORCID http://orcid.org/0000-0001-5395-1457

Funding

Detection and genotyping complex human genetic variation using single-molecule sequencingR01HG011649 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Mark Chaisson · 2021 to 2026
$2.5M
Representing structural haplotypes and complex genetic variation in pan-genome graphsU01HG010973 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHAISSON, MARK, EICHLER, EVAN · 2020 to 2023
$1.3M
NHGRI NIH HHS R01 HG011649NHGRI NIH HHS U01 HG010973U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U01HG010973
6 · The paper itself

Abstract

Copy number variable (CNV) genes are important in evolution and disease, yet their sequence variation remains a blind spot in large-scale studies. We present ctyper, a method that leverages pangenomes to produce allele-specific copy numbers with locally phased variants from next-generation sequencing samples. Benchmarking on 3,351 CNV genes and 212 challenging medically relevant (CMR) genes, ctyper captures 96.5% of phased variants with ≥99.1% correctness of copy number in CNV genes and 94.8% of phased variants in CMR genes. Ctyper takes 1.5 h to genotype a genome on one CPU. The ctyper genotypes give a 4.81-fold improvement in predictions of gene expression compared to known expression quantitative trait locus (eQTL) variants. Allele-specific expression quantified divergent expression in 7.94% of paralogs and tissue-specific biases in 4.68%. We found reduced expression of SMN2 due to SMN1 conversion, potentially affecting spinal muscular atrophy, and increased expression of translocated duplications of AMY2B. Overall, ctyper enables biobank-scale genotyping of CNV and CMR genes.

Indexed as

DNA Copy Number VariationsGene DuplicationGenes, DuplicateGenotyping TechniquesAllelesGenome, HumanGenotypeHigh-Throughput Nucleotide SequencingHumansQuantitative Trait Loci

Identifiers

PMID41107550
PMCPMC12597824

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.