Evidence map›Paper›PMID 39779690›Full record

ArticleNature communications2025

Small variant benchmark from a complete assembly of X and Y chromosomes.

Justin Wagner, Nathan D Olson, Jennifer McDaniel, Lindsay Harris, Brendan J Pinto, David Jáspez, Adrián Muñoz-Barrera, Luis A Rubio-Rodríguez, José M Lorenzo-Salazar, Carlos Flores and 17 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A complete diploid human genome benchmark for personalized genomics.bioRxiv : the preprint server for biology · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. 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

27 authors.

Justin Wagner *Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr., Gaithersburg, MD, USA.
Nathan D Olson *Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr., Gaithersburg, MD, USA.ORCID http://orcid.org/0000-0003-2585-3037
Jennifer McDanielMaterial Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr., Gaithersburg, MD, USA.ORCID http://orcid.org/0000-0003-1987-0914
Lindsay HarrisMaterial Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr., Gaithersburg, MD, USA.
Brendan J PintoCenter for Evolution & Medicine and School of Life Sciences, Arizona State University, Tempe, AZ 85281 USA - Department of Zoology, Milwaukee Public Museum, Milwaukee, WI, USA.
David JáspezGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Granadilla de Abona, Spain.ORCID http://orcid.org/0000-0001-7923-0068
Adrián Muñoz-BarreraGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Granadilla de Abona, Spain.ORCID http://orcid.org/0000-0002-1561-5898
Luis A Rubio-RodríguezGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Granadilla de Abona, Spain.
José M Lorenzo-SalazarGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Granadilla de Abona, Spain.ORCID http://orcid.org/0000-0002-5135-2861
Carlos FloresGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Granadilla de Abona, Spain.ORCID http://orcid.org/0000-0001-5352-069X
Sayed Mohammad Ebrahim SahraeianRoche Sequencing Solutions, Santa Clara, CA, USA.
Giuseppe NarzisiNew York Genome Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-1118-8849
Marta Byrska-BishopNew York Genome Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-9118-1032
Uday S EvaniNew York Genome Center, New York, NY, USA.
Chunlin XiaoNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Juniper A LakePacific Biosciences, Menlo Park, CA, USA.ORCID http://orcid.org/0000-0001-7628-5645
Peter FontanaInformation Technology Laboratory, National Institute of Standards and Technology, 100 Bureau Dr. Mailstop 8940, Gaithersburg, MD, USA.
Craig GreenbergInformation Technology Laboratory, National Institute of Standards and Technology, 100 Bureau Dr. Mailstop 8940, Gaithersburg, MD, USA.
Donald FreedSentieon Inc., San Jose, CA, USA.ORCID http://orcid.org/0000-0003-4534-7254
Mohammed Faizal Eeman MootorDepartment of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-4154-455X
Paul C BoutrosDepartment of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-0553-7520
Lisa MurrayIllumina, Cambridge, United Kingdom.
Kishwar ShafinGoogle Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, USA.ORCID http://orcid.org/0000-0001-5252-3434
Andrew CarrollGoogle Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, USA.ORCID http://orcid.org/0000-0002-4824-6689
Fritz J SedlazeckBaylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-6040-2691
Melissa WilsonCenter for Evolution & Medicine and School of Life Sciences, Arizona State University, Tempe, AZ, USA.
Justin M ZookMaterial Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr., Gaithersburg, MD, USA. justin.zook@nist.gov.ORCID http://orcid.org/0000-0003-2309-8402

Funding

Population dynamics and medical consequences of sex chromosome evolutionR35GM124827 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WILSON, MELISSA A · 2017 to 2024
$2.7M
NIGMS NIH HHS R35 GM124827United States Department of Commerce | National Institute of Standards and Technology (NIST) intramural
6 · The paper itself

Abstract

The sex chromosomes contain complex, important genes impacting medical phenotypes, but differ from the autosomes in their ploidy and large repetitive regions. To enable technology developers along with research and clinical laboratories to evaluate variant detection on male sex chromosomes X and Y, we create a small variant benchmark set with 111,725 variants for the Genome in a Bottle HG002 reference material. We develop an active evaluation approach to demonstrate the benchmark set reliably identifies errors in challenging genomic regions and across short and long read callsets. We show how complete assemblies can expand benchmarks to difficult regions, but highlight remaining challenges benchmarking variants in long homopolymers and tandem repeats, complex gene conversions, copy number variable gene arrays, and human satellites.

Indexed as

BenchmarkingChromosomes, Human, XChromosomes, Human, YDNA Copy Number VariationsGenetic VariationGenome, HumanGenomicsHumansMale

Identifiers

PMID39779690
PMCPMC11711550

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.