Evidence map›Paper›PMID 37495620›Full record

ArticleScientific reports2023

High throughput human genotyping for variants associated with malarial disease outcomes using custom targeted amplicon sequencing.

Ashley Osborne, Jody E Phelan, Leen N Vanheer, Alphaxard Manjurano, Jesse Gitaka, Christopher J Drakeley, Akira Kaneko, Kiyoshi Kita, Susana Campino, Taane G Clark

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

10 authors at 6 institutions in 5 countries.

Ashley OsborneFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Jody E PhelanFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Leen N VanheerFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Alphaxard ManjuranoMwanza Medical Research Centre, National Institute for Medical Research, Mwanza, Tanzania.
Jesse GitakaDirectorate of Research and Innovation, Mount Kenya University, Thika, Kenya.
Christopher J DrakeleyFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Akira KanekoDepartment of Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Kiyoshi KitaSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Susana CampinoFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK. susana.campino@lshtm.ac.uk.
Taane G ClarkFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK. taane.clark@lshtm.ac.uk.
London School of Hygiene & Tropical Medicine · GBKarolinska Institutet · SEMount Kenya University · KENagasaki University · JPNational Institute for Medical Research · TZUniversity of London · GB

Funding

Medical Research Council MR/M01360X/1Medical Research Council MR/N010469/1Medical Research Council MR/R020973/1Medical Research Council MR/X005895/1
6 · The paper itself

Abstract

Malaria has exhibited the strongest known selective pressure on the human genome in recent history and is the evolutionary driving force behind genetic conditions, such as sickle-cell disease, glucose-6-phosphatase deficiency, and some other erythrocyte defects. Genomic studies (e.g., The 1000 Genomes project) have provided an invaluable baseline for human genetics, but with an estimated two thousand ethno-linguistic groups thought to exist across the African continent, our understanding of the genetic differences between indigenous populations and their implications on disease is still limited. Low-cost sequencing-based approaches make it possible to target specific molecular markers and genes of interest, leading to potential insights into genetic diversity. Here we demonstrate the versatility of custom dual-indexing technology and Illumina next generation sequencing to generate a genetic profile of human polymorphisms associated with malaria pathology. For 100 individuals diagnosed with severe malaria in Northeast Tanzania, variants were successfully characterised on the haemoglobin subunit beta (HBB), glucose-6-phosphate dehydrogenase (G6PD), atypical chemokine receptor 1 (ACKR1) genes, and the intergenic Dantu genetic blood variant, then validated using pre-existing genotyping data. High sequencing coverage was observed across all amplicon targets in HBB, G6PD, ACKR1, and the Dantu blood group, with variants identified at frequencies previously observed within this region of Tanzania. Sequencing data exhibited high concordance rates to pre-existing genotyping data (> 99.5%). Our work demonstrates the potential utility of amplicon sequencing for applications in human genetics, including to personalise medicine and understand the genetic diversity of loci linked to important host phenotypes, such as malaria susceptibility.

Indexed as

MalariaABO Blood-Group SystemDuffy Blood-Group SystemFemaleGenotypeHumansMalePolymorphism, Single NucleotideReceptors, Cell SurfaceTanzaniaABO Blood-Group SystemACKR1 protein, humanDuffy Blood-Group SystemReceptors, Cell Surface

Identifiers

PMID37495620
PMCPMC10371994
OpenAlexW4385276916

What OpenQuestion holds

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LicenceCC BY
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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.