Evidence map›Paper›PMID 34868193›Full record

ArticleFrontiers in genetics2021

Insilico Functional Analysis of Genome-Wide Dataset From 17,000 Individuals Identifies Candidate Malaria Resistance Genes Enriched in Malaria Pathogenic Pathways.

Delesa Damena, Francis E Agamah, Peter O Kimathi, Ntumba E Kabongo, Hundaol Girma, Wonderful T Choga, Lemu Golassa, Emile R Chimusa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A novel locus inFrontiers in genetics · 2024
    Article
  6. 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

8 authors at 2 institutions in 2 countries.

Delesa DamenaDivision of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Francis E AgamahDivision of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Peter O KimathiDivision of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Ntumba E KabongoDivision of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Hundaol GirmaDivision of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Wonderful T ChogaDivision of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Lemu GolassaAklilu Lema Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Emile R ChimusaDivision of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZAAddis Ababa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent genome-wide association studies (GWASs) of severe malaria have identified several association variants. However, much about the underlying biological functions are yet to be discovered. Here, we systematically predicted plausible candidate genes and pathways from functional analysis of severe malaria resistance GWAS summary statistics (

Indexed as

functional analysisgenesgenome-wide association studypathwayssevere malaria

Identifiers

PMID34868193
PMCPMC8639191
OpenAlexW3212874332

What Socratic 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 Socratic graph.