Evidence map›Paper›PMID 31722398›Full record

ArticleNucleic acids research2020

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools.

Faviel F Gonzalez-Galarza, Antony McCabe, Eduardo J Melo Dos Santos, James Jones, Louise Takeshita, Nestor D Ortega-Rivera, Glenda M Del Cid-Pavon, Kerry Ramsbottom, Gurpreet Ghattaoraya, Ana Alfirevic and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 493 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
493citing papers in PubMed, 1 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

493 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Investigation of the Prevalence of theHealth science reports · 2026
    Article
  15. Article
  16. High-coverage ancient genomes reveal divergent population histories and prehistoric starch-related genetic variation in Japan.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

433 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

12 authors.

Faviel F Gonzalez-GalarzaCenter for Biomedical Research, Faculty of Medicine, Autonomous University of Coahuila, Torreon, Mexico.
Antony McCabeComputational Biology Facility, University of Liverpool, Biosciences building, Crown Street, Liverpool, L69 7ZB, UK.
Eduardo J Melo Dos SantosHuman and Medical Genetics, Institute of Biological Sciences, Federal University of Pará, Brazil.
James JonesInstitute of Integrative Biology, University of Liverpool, Biosciences building, Crown Street, Liverpool, L69 7ZB, UK.
Louise TakeshitaComputational Biology Facility, University of Liverpool, Biosciences building, Crown Street, Liverpool, L69 7ZB, UK.
Nestor D Ortega-RiveraCenter for Biomedical Research, Faculty of Medicine, Autonomous University of Coahuila, Torreon, Mexico.
Glenda M Del Cid-PavonCenter for Biomedical Research, Faculty of Medicine, Autonomous University of Coahuila, Torreon, Mexico.
Kerry RamsbottomInstitute of Integrative Biology, University of Liverpool, Biosciences building, Crown Street, Liverpool, L69 7ZB, UK.
Gurpreet GhattaorayaDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Ana AlfirevicDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Derek MiddletonInstitute of Integrative Biology, University of Liverpool, Biosciences building, Crown Street, Liverpool, L69 7ZB, UK.
Andrew R JonesInstitute of Integrative Biology, University of Liverpool, Biosciences building, Crown Street, Liverpool, L69 7ZB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Allele Frequency Net Database (AFND, www.allelefrequencies.net) provides the scientific community with a freely available repository for the storage of frequency data (alleles, genes, haplotypes and genotypes) related to human leukocyte antigens (HLA), killer-cell immunoglobulin-like receptors (KIR), major histocompatibility complex Class I chain related genes (MIC) and a number of cytokine gene polymorphisms in worldwide populations. In the last five years, AFND has become more popular in terms of clinical and scientific usage, with a recent increase in genotyping data as a necessary component of Short Population Report article submissions to another scientific journal. In addition, we have developed a user-friendly desktop application for HLA and KIR genotype/population data submissions. We have also focused on classification of existing and new data into 'gold-silver-bronze' criteria, allowing users to filter and query depending on their needs. Moreover, we have also continued to expand other features, for example focussed on HLA associations with adverse drug reactions. At present, AFND contains >1600 populations from >10 million healthy individuals, making AFND a valuable resource for the analysis of some of the most polymorphic regions in the human genome.

Indexed as

Databases, GeneticCytokinesGene FrequencyGenome, HumanHistocompatibility Antigens Class IHLA AntigensHumansPolymorphism, GeneticReceptors, KIRUser-Computer InterfaceCytokinesHistocompatibility Antigens Class IHLA AntigensReceptors, KIR

Identifiers

PMID31722398
PMCPMC7145554

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.