Evidence map›Paper›PMID 37059810›Full record

ReviewNature reviews. Genetics2023

Variant calling and benchmarking in an era of complete human genome sequences.

Nathan D Olson, Justin Wagner, Nathan Dwarshuis, Karen H Miga, Fritz J Sedlazeck, Marc Salit, Justin M Zook

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed
24.5field-weighted citation impact, top 1% of its field
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

104 citing papers in PubMed, 153 citations in OpenAlex.

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  19. cuteHap: Haplotype-Aware Structural Variant Detection in Phased Long-Read Sequencing Data.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  20. Article

44 more citing papers are in PubMed but not listed here.

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

7 authors at 4 institutions in 1 country.

Nathan D OlsonMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.ORCID 0000-0003-2585-3037
Justin WagnerMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.
Nathan DwarshuisMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.
Karen H MigaUC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA.
Fritz J SedlazeckBaylor College of Medicine, Human Genome Sequencing Center, Houston, TX, USA.ORCID 0000-0001-6040-2691
Marc SalitThe MITRE Corporation, McLean, VA, USA.
Justin M ZookMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA. jzook@nist.gov.ORCID 0000-0003-2309-8402
National Institute of Standards and Technology · USBaylor College of Medicine · USMitre (United States) · USUniversity of California, Santa Cruz · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variant calling from DNA sequencing has enabled understanding of germline variation in hundreds of thousands of humans. Sequencing technologies and variant-calling methods have advanced rapidly, routinely providing reliable variant calls in most of the human genome. We describe how advances in long reads, deep learning, de novo assembly and pangenomes have expanded access to variant calls in increasingly challenging, repetitive genomic regions, including medically relevant regions, and how new benchmark sets and benchmarking methods illuminate their strengths and limitations. Finally, we explore the possible future of more complete characterization of human genome variation in light of the recent completion of a telomere-to-telomere human genome reference assembly and human pangenomes, and we consider the innovations needed to benchmark their newly accessible repetitive regions and complex variants.

Indexed as

BenchmarkingGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID37059810
OpenAlexW4365513261

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.