Evidence map›Paper›PMID 34140649›Full record

ArticleEuropean journal of human genetics : EJHG2021

A comparison of genotyping arrays.

Joost A M Verlouw, Eva Clemens, Jard H de Vries, Oliver Zolk, Annemieke J M H Verkerk, Antoinette Am Zehnhoff-Dinnesen, Carolina Medina-Gomez, Claudia Lanvers-Kaminsky, Fernando Rivadeneira, Thorsten Langer and 4 more

Abstract readComparative Study
In one paragraph

Article in European journal of human genetics : EJHG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
–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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  8. Review
  9. Article
  10. Article
  11. Multi-omics Data Integration.Advances in experimental medicine and biology · 2026
    Review
  12. Article
  13. Review
  14. Genetics of Common Obesity in Children and Adolescents.Annals of the New York Academy of Sciences · 2025
    Review
  15. Regulatory polymorphisms ofJournal for immunotherapy of cancer · 2025
    Article
  16. Article
  17. Article
  18. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    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

14 authors.

Joost A M Verlouw *Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0003-2373-0981
Eva Clemens *Department of Pediatric Oncology, Erasmus MC, Rotterdam, The Netherlands.
Jard H de VriesDepartment of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.
Oliver ZolkInstitute of Clinical Pharmacology, Brandenburg Medical School, Immanuel Klinik Rüdersdorf, Rüdersdorf, Germany.ORCID 0000-0002-8220-3834
Annemieke J M H VerkerkDepartment of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-7523-3656
Antoinette Am Zehnhoff-DinnesenClinic of Phoniatrics and Pedaudiology, University Hospital Münster, Münster, Germany.
Carolina Medina-GomezDepartment of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0001-7999-5538
Claudia Lanvers-KaminskyDepartment of Pediatric Hematology and Oncology, University Children's Hospital, Muenster, Germany.
Fernando RivadeneiraDepartment of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0001-9435-9441
Thorsten LangerDepartment of Pediatric Oncology and Hematology, University Hospital for Children and Adolescents Lübeck, Lübeck, Germany.
Joyce B J van MeursDepartment of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.
Marry M van den Heuvel-EibrinkDepartment of Pediatric Oncology, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-7760-879X
André G UitterlindenDepartment of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-7276-3387
Linda BroerDepartment of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands. l.broer@erasmusmc.nl.ORCID 0000-0003-0011-123X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Array technology to genotype single-nucleotide variants (SNVs) is widely used in genome-wide association studies (GWAS), clinical diagnostics, and linkage studies. Arrays have undergone a tremendous growth in both number and content over recent years making a comprehensive comparison all the more important. We have compared 28 genotyping arrays on their overall content, genome-wide coverage, imputation quality, presence of known GWAS loci, mtDNA variants and clinically relevant genes (i.e., American College of Medical Genetics (ACMG) actionable genes, pharmacogenetic genes, human leukocyte antigen (HLA) genes and SNV density). Our comparison shows that genome-wide coverage is highly correlated with the number of SNVs on the array but does not correlate with imputation quality, which is the main determinant of GWAS usability. Average imputation quality for all tested arrays was similar for European and African populations, indicating that this is not a good criterion for choosing a genotyping array. Rather, the additional content on the array, such as pharmacogenetics or HLA variants, should be the deciding factor. As the research question of a study will in large part determine which class of genes are of interest, there is not just one perfect array for all different research questions. This study can thus help as a guideline to determine which array best suits a study's requirements.

Indexed as

Genetic TestingGenome-Wide Association StudyGenotyping TechniquesHumansOligonucleotide Array Sequence AnalysisReagent Kits, DiagnosticSensitivity and SpecificityReagent Kits, Diagnostic

Identifiers

PMID34140649
PMCPMC8560858

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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.