Evidence map›Paper›PMID 36167596›Full record

ArticleGenome biology2022

Widespread false gene gains caused by duplication errors in genome assemblies.

Byung June Ko, Chul Lee, Juwan Kim, Arang Rhie, Dong Ahn Yoo, Kerstin Howe, Jonathan Wood, Seoae Cho, Samara Brown, Giulio Formenti and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 62 citations in OpenAlex.

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  7. Epigenomic methylome landscape of promoters in vertebrate genomes.bioRxiv : the preprint server for biology · 2026
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  14. The complete genome of a songbird.bioRxiv : the preprint server for biology · 2025
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  15. Linking phenotype to genotype using comprehensive genomic comparisons.Current opinion in genetics & development · 2025
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  18. Genomic Insights into Post-Domestication Expansion and Selection of Body Size in Ponies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

12 authors at 6 institutions in 4 countries.

Byung June Ko *Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Chul Lee *Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Juwan KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Arang RhieGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, USA.
Dong Ahn YooInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Kerstin HoweWellcome Sanger Institute, Cambridge, UK.
Jonathan WoodWellcome Sanger Institute, Cambridge, UK.
Seoae ChoeGnome, Inc, Seoul, Republic of Korea.
Samara BrownLaboratory of the Neurogenetics of Language, The Rockefeller University, New York, NY, USA.
Giulio FormentiLaboratory of the Neurogenetics of Language, The Rockefeller University, New York, NY, USA.
Erich D JarvisLaboratory of the Neurogenetics of Language, The Rockefeller University, New York, NY, USA. ejarvis@mail.rockefeller.edu.ORCID 0000-0001-8931-5049
Heebal KimDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea. heebal@snu.ac.kr.
Seoul National University · KRHoward Hughes Medical Institute · USWellcome Sanger Institute · GBNational Institutes of Health · USNational University College · PRRockefeller University · US

Funding

Single-molecule sequence assembly and analysisZIAHG200398 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PHILLIPPY, ADAM · 2016 to 2025
$15.9M
Intramural NIH HHS ZIA HG200398
6 · The paper itself

Abstract

backgroundFalse duplications in genome assemblies lead to false biological conclusions. We quantified false duplications in popularly used previous genome assemblies for platypus, zebra finch, and Anna's Hummingbird, and their new counterparts of the same species generated by the Vertebrate Genomes Project, of which the Vertebrate Genomes Project pipeline attempted to eliminate false duplications through haplotype phasing and purging. These assemblies are among the first generated by the Vertebrate Genomes Project where there was a prior chromosomal level reference assembly to compare with.

resultsWhole genome alignments revealed that 4 to 16% of the sequences are falsely duplicated in the previous assemblies, impacting hundreds to thousands of genes. These lead to overestimated gene family expansions. The main source of the false duplications is heterotype duplications, where the haplotype sequences were relatively more divergent than other parts of the genome leading the assembly algorithms to classify them as separate genes or genomic regions. A minor source is sequencing errors. Ancient ATP nucleotide binding gene families have a higher prevalence of false duplications compared to other gene families. Although present in a smaller proportion, we observe false duplications remaining in the Vertebrate Genomes Project assemblies that can be identified and purged.

conclusionsThis study highlights the need for more advanced assembly methods that better separate haplotypes and sequence errors, and the need for cautious analyses on gene gains.

Indexed as

GenomeGenomicsAdenosine TriphosphateAnimalsGene DuplicationNucleotidesSequence Analysis, DNAVertebratesAdenosine TriphosphateNucleotidesAssembly errorDe novo assemblyFalse duplicationPhasing errorVertebrate genome project

Identifiers

PMID36167596
PMCPMC9516828
OpenAlexW4297387550

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.