Evidence map›Paper›PMID 41959047›Full record

ArticlebioRxiv : the preprint server for biology2026

Biobank-scale genotyping of Robertsonian translocations reveals hidden structural variation on the human acrocentric chromosomes.

Arang Rhie, Juhyun Kim, Francisco Rodriguez-Algarra, Steven J Solar, Sergey Koren, Dmitry Antipov, Caralynn M Wilczewski, George L Maxwell, Jennifer Gerton, Justin Paschall and 8 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

18 authors.

Arang RhieGenome Informatics Section, Center for Genomics and Data Science Research, NHGRI, NIH, Bethesda, MD, USA.ORCID 0000-0002-9809-8127
Juhyun KimGenome Informatics Section, Center for Genomics and Data Science Research, NHGRI, NIH, Bethesda, MD, USA.ORCID 0000-0002-0321-9388
Francisco Rodriguez-AlgarraThe Blizard Institute, School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0002-4134-2141
Steven J SolarGenome Informatics Section, Center for Genomics and Data Science Research, NHGRI, NIH, Bethesda, MD, USA.
Sergey KorenGenome Informatics Section, Center for Genomics and Data Science Research, NHGRI, NIH, Bethesda, MD, USA.ORCID 0000-0002-1472-8962
Dmitry AntipovGenome Informatics Section, Center for Genomics and Data Science Research, NHGRI, NIH, Bethesda, MD, USA.
Caralynn M WilczewskiReverse Phenotyping Core, Center for Precision Health Research, NHGRI, NIH, Bethesda, MD, USA.ORCID 0000-0003-0336-8815
George L MaxwellWomen's Health Integrated Research Center, Inova Health System, Falls Church, VA, USA.
Jennifer GertonStowers Institute for Medical Research, Kansas City, MO, USA.ORCID 0000-0003-0743-3637
Justin PaschallReverse Phenotyping Core, Center for Precision Health Research, NHGRI, NIH, Bethesda, MD, USA.
Tamara PotapovaStowers Institute for Medical Research, Kansas City, MO, USA.ORCID 0000-0003-2761-1795
Tyra G WolfsbergBioinformatics and Scientific Programming Core, Office of Scientific Core Facilities, NHGRI, NIH, Bethesda, MD, USA.ORCID 0000-0001-5646-9455
Sumeeta SinghBioinformatics and Scientific Programming Core, Office of Scientific Core Facilities, NHGRI, NIH, Bethesda, MD, USA.
Sandra O Del Castillo Del RioThe Blizard Institute, School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0002-1088-2751
Human Pangenome Reference Consortium
Clesson TurnerReverse Phenotyping Core, Center for Precision Health Research, NHGRI, NIH, Bethesda, MD, USA.ORCID 0000-0001-7625-8022
Vardhman K RakyanThe Blizard Institute, School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0003-4523-5121
Adam M PhillippyGenome Informatics Section, Center for Genomics and Data Science Research, NHGRI, NIH, Bethesda, MD, USA.ORCID 0000-0003-2983-8934

Funding

NHGRI/DIR Bioinformatics and Scientific Programming CoreZICHG200345 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BAXEVANIS, ANDREAS · 2016 to 2025
$41.7M
Single-molecule sequence assembly and analysisZIAHG200398 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PHILLIPPY, ADAM · 2016 to 2025
$15.9M
Reverse Phenotyping CoreZICHG200418 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI TURNER, CLESSON · 2021 to 2025
$5.3M
Maintaining the integrity of a genomeR01CA266339 · NCI · STOWERS INSTITUTE FOR MEDICAL RESEARCH · PI JENNIFER L GERTON · 2022 to 2026
$1.9M
Deciphering genome integrity maintenance using cytogenomicsR50CA305001 · NCI · STOWERS INSTITUTE FOR MEDICAL RESEARCH · PI Tamara A Potapova · 2025 to 2026
$251k
Intramural NIH HHS ZIA HG200398Intramural NIH HHS ZIC HG200345Intramural NIH HHS ZIC HG200418NCI NIH HHS R01 CA266339NCI NIH HHS R50 CA305001
6 · The paper itself

Abstract

Balanced Robertsonian translocation (ROB) is the most common chromosomal rearrangement in humans, with an estimated occurrence of 1 in 800 in newborn studies. Carriers are at increased risk of cancer and often diagnosed at fertility clinics after facing recurrent miscarriages, infertility, or aneuploid offspring. Genotyping carriers with DNA sequencing has been challenging because of gaps and misrepresentation of the translocation fusion site in the human reference genome. Only recently, telomere-to-telomere (T2T) human genomes successfully revealed sequences of the acrocentric short arms, including the most common ROB fusion site. A ROB results in loss of two ribosomal DNA (rDNA) arrays and its adjacent distal sequences, including the highly conserved distal junction (DJ). Here, we present a novel method to type ROB carriers directly from short sequencing reads by estimating DJ copy number. We demonstrate that our method successfully genotypes ROBs using a reference-free approach or alignments to either T2T-CHM13v2 or GRCh38. Applying the method to a cohort of healthy newborns and family members (n=4,172) as well as the UK Biobank (n=490,416), we find candidate ROBs at a frequency consistent with the previously reported 1 in 800 incidence (0.11-0.12%). In addition to ROB carriers, we report the frequency of one DJ loss (9, 2.8-3.4%) or gain (11+, 8.4-9.3%) from the two cohorts and the 1000 Genomes Project (n=3,202), and characterize the underlying structural variation in near-T2T genome assemblies from the Human Pangenome Reference Consortium. Importantly, our method provides the first sequencing-based diagnostic for Robertsonian chromosomes and can be applied to low-coverage sequencing data, enhancing its clinical applicability and enabling new studies of structural variation on the acrocentric chromosomes.

Indexed as

acrocentric chromosomesBalanced Robertsonian translocationDistal junction of the rDNAStructural variationtelomere-to-telomere genomes

Identifiers

PMID41959047
PMCPMC13060921

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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.