Evidence map›Paper›PMID 36626386›Full record

ArticlePloS one2023

Population-specific positive selection on low CR1 expression in malaria-endemic regions.

Paolo Alberto Lorenzini, Elena S Gusareva, Amit Gourav Ghosh, Nurul Adilah Binte Ramli, Peter Rainer Preiser, Hie Lim Kim

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
0.6field-weighted citation impact, top 33% 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, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Human genetic variations conferring resistance to malaria.Journal of translational medicine · 2025
    Review
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 at 1 institution in 1 country.

Paolo Alberto LorenziniAsian School of the Environment, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-9322-3358
Elena S GusarevaAsian School of the Environment, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-9019-8097
Amit Gourav GhoshAsian School of the Environment, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-5991-8110
Nurul Adilah Binte RamliAsian School of the Environment, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-0341-8624
Peter Rainer PreiserSchool of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
Hie Lim KimAsian School of the Environment, Nanyang Technological University, Singapore, Singapore.
Nanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complement Receptor Type 1 (CR1) is a malaria-associated gene that encodes a transmembrane receptor of erythrocytes and is crucial for malaria parasite invasion. The expression of CR1 contributes to the rosetting of erythrocytes in the brain bloodstream, causing cerebral malaria, the most severe form of the disease. Here, we study the history of adaptation against malaria by analyzing selection signals in the CR1 gene. We used whole-genome sequencing datasets of 907 healthy individuals from malaria-endemic and non-endemic populations. We detected robust positive selection in populations from the hyperendemic regions of East India and Papua New Guinea. Importantly, we identified a new adaptive variant, rs12034598, which is associated with a slower rate of erythrocyte sedimentation and is linked with a variant associated with low levels of CR1 expression. The combination of the variants likely drives natural selection. In addition, we identified a variant rs3886100 under positive selection in West Africans, which is also related to a low level of CR1 expression in the brain. Our study shows the fine-resolution history of positive selection in the CR1 gene and suggests a population-specific history of CR1 adaptation to malaria. Notably, our novel approach using population genomic analyses allows the identification of protective variants that reduce the risk of malaria infection without the need for patient samples or malaria individual medical records. Our findings contribute to understanding of human adaptation against cerebral malaria.

Indexed as

Malaria, CerebralReceptors, Complement 3bErythrocytesGenetics, PopulationHumansIndiaPapua New GuineaSelection, GeneticCR1 protein, humanReceptors, Complement 3b

Identifiers

PMID36626386
PMCPMC9831336
OpenAlexW4315436886

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.