Evidence map›Paper›PMID 32963235›Full record

ArticleNature communications2020

A diploid assembly-based benchmark for variants in the major histocompatibility complex.

Chen-Shan Chin, Justin Wagner, Qiandong Zeng, Erik Garrison, Shilpa Garg, Arkarachai Fungtammasan, Mikko Rautiainen, Sergey Aganezov, Melanie Kirsche, Samantha Zarate and 16 more

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A complete diploid human genome benchmark for personalized genomics.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

26 authors.

Chen-Shan ChinDNAnexus, Inc, 1975 W El Camino Real, Suite 204, Mountain View, CA, 94040, USA.
Justin WagnerMaterial Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr, MS8312, Gaithersburg, MD, 20899, USA.
Qiandong ZengLaboratory Corporation of America Holdings, 3400 Computer Drive, Westborough, MA, 01581, USA.
Erik GarrisonUniversity of California, Santa Cruz, 1156 High St, Santa Cruz, CA, 95064, USA.
Shilpa GargDepartment of Genetics, Harvard Medical School, Boston, MA, USA.
Arkarachai FungtammasanDNAnexus, Inc, 1975 W El Camino Real, Suite 204, Mountain View, CA, 94040, USA.
Mikko RautiainenCenter for Bioinformatics, Saarland University, Saarland Informatics Campus E2.1, 66123, Saarbrücken, Germany.
Sergey AganezovDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID http://orcid.org/0000-0003-2458-8323
Melanie KirscheDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID http://orcid.org/0000-0002-6631-4761
Samantha ZarateDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
Michael C SchatzDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
Chunlin XiaoNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD, 20894, USA.ORCID http://orcid.org/0000-0001-8702-4889
William J RowellPacific Biosciences, Menlo Park, CA, 94025, USA.ORCID http://orcid.org/0000-0002-7422-1194
Charles MarkelloUniversity of California, Santa Cruz, 1156 High St, Santa Cruz, CA, 95064, USA.
Jesse FarekHuman Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA.
Fritz J SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0001-6040-2691
Vikas BansalDepartment of Pediatrics, University of California San Diego, La Jolla, CA, 92093, USA.
Byunggil YooGenomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO, 64108, USA.ORCID http://orcid.org/0000-0002-7912-1862
Neil MillerGenomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO, 64108, USA.ORCID http://orcid.org/0000-0002-6151-4780
Xin ZhouDepartment of Computer Science, Stanford University, Stanford, CA, 94305, USA.
Andrew CarrollGoogle Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, 94043, USA.
Alvaro Martinez Barrio10x Genomics, Pleasanton, CA, 94588, USA.ORCID http://orcid.org/0000-0001-5064-2093
Marc SalitJoint Initiative for Metrology in Biology, Stanford, CA, 94305, USA.
Tobias MarschallInstitute of Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.ORCID http://orcid.org/0000-0002-9376-1030
Alexander T DiltheyInstitute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.ORCID http://orcid.org/0000-0002-6394-4581
Justin M ZookMaterial Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr, MS8312, Gaithersburg, MD, 20899, USA. jzook@nist.gov.ORCID http://orcid.org/0000-0003-2309-8402

Funding

Insights Into Immune-Related Diseases Born from Population GenomicsU01AI090905 · NIAID · UNIVERSITY OF COLORADO DENVER · PI Paul John Norman · 2010 to 2026
$10.9M
Refining Mendelian disease analysis via detection of clinically relevant repeat variantsR01HG010149 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna, Vikas Bansal · 2018 to 2026
$4.5M
NHGRI NIH HHS R01 HG010149NIAID NIH HHS U01 AI090905
6 · The paper itself

Abstract

Most human genomes are characterized by aligning individual reads to the reference genome, but accurate long reads and linked reads now enable us to construct accurate, phased de novo assemblies. We focus on a medically important, highly variable, 5 million base-pair (bp) region where diploid assembly is particularly useful - the Major Histocompatibility Complex (MHC). Here, we develop a human genome benchmark derived from a diploid assembly for the openly-consented Genome in a Bottle sample HG002. We assemble a single contig for each haplotype, align them to the reference, call phased small and structural variants, and define a small variant benchmark for the MHC, covering 94% of the MHC and 22368 variants smaller than 50 bp, 49% more variants than a mapping-based benchmark. This benchmark reliably identifies errors in mapping-based callsets, and enables performance assessment in regions with much denser, complex variation than regions covered by previous benchmarks.

Indexed as

DiploidyBenchmarkingCell LineGenetic VariationGenome, HumanHaplotypesHumansMajor Histocompatibility Complex

Identifiers

PMID32963235
PMCPMC7508831

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.