Evidence map›Paper›PMID 38907888›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Allele Frequency Net Database.

Faviel F Gonzalez-Galarza, Antony McCabe, Eduardo J Melo Dos Santos, Gurpreet Ghattaoraya, Andrew R Jones, Derek Middleton

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Faviel F Gonzalez-GalarzaDepartment of Molecular Immunobiology, Center for Biomedical Research, Faculty of Medicine, Autonomous University of Coahuila, Torreon, Coahuila, Mexico. faviel.gonzalez@uadec.edu.mx.
Antony McCabeComputational Biology Facility, University of Liverpool, Liverpool, UK.
Eduardo J Melo Dos SantosGenetic of Complex Diseases, Institute of Biological Sciences, Federal University of Para, Belém, Brazil.
Gurpreet GhattaorayaDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Andrew R JonesInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Derek MiddletonInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The allele frequency net database (AFND, http://www.allelefrequencies.net ) is an online web-based repository that contains information on the frequencies of immune-related genes and their corresponding alleles in worldwide human populations. At present, the website contains data from 1784 population samples in more than 14 million individuals from 129 countries on the frequency of genes from different polymorphic regions including data for the human leukocyte antigen (HLA) system. In addition, over the last four years, AFND has also incorporated genotype raw data from 85,000 individuals comprising 215 population samples from 39 countries. Moreover, more population data sets containing next generation sequencing data spanning >3 million individuals have been added. This resource has been widely used in a variety of contexts such as histocompatibility, immunology, epidemiology, pharmacogenetics, epitope prediction algorithms for population coverage in vaccine development, population genetics, among many others. In this chapter, we present an update of the most used searching mechanisms as described in a previous volume and some of the latest developments included in AFND.

Indexed as

Databases, GeneticGene FrequencyGenetics, PopulationAllelesComputational BiologyGenotypeHigh-Throughput Nucleotide SequencingHLA AntigensHumansInternetWeb BrowserHLA AntigensFrequenciesHLAImmunogeneticsPolymorphismsPopulation genetics

Identifiers

PMID38907888

What OpenQuestion holds

Textmetadata
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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.