Evidence map›Paper›PMID 40827852›Full record

ArticleeLife2025

Benchmarking and optimization of methods for the detection of identity-by-descent in high-recombining

Bing Guo, Shannon Takala-Harrison, Timothy D O'Connor

Abstract read
In one paragraph

Article in eLife, 2025. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Toward an Open Analysis Ecosystem for Plasmodium Genomic Epidemiology.The American journal of tropical medicine and hygiene · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Bing GuoCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, United States.ORCID https://orcid.org/0000-0002-3998-5981
Shannon Takala-Harrison *Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, United States.ORCID https://orcid.org/0000-0003-4674-8500
Timothy D O'Connor *Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, United States.ORCID https://orcid.org/0000-0002-0276-1896

Funding

Genomic and geospatial analyses of malaria parasite migration to inform eliminationR01AI145852 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI HARRISON, SHANNON TAKALA, O'CONNOR, TIMOTHY DAVID · 2020 to 2024
$3.7M
NIAID NIH HHS R01 AI145852NIH HHS 1R01AI145852Wellcome Trust
6 · The paper itself

Abstract

Genomic surveillance is crucial for identifying at-risk populations for targeted malaria control and elimination. Identity-by-descent (IBD) is increasingly being used in

Indexed as

Genome, ProtozoanPlasmodium falciparumDatasets as TopicHumansMalaria, FalciparumPolymorphism, Single NucleotideRecombination, Geneticbenchmarkinggeneticsgenomicsidentity-by-descentinfectious diseasemarker densitymicrobiologyoptimizationP. falciparumrecombination rate

Identifiers

PMID40827852
PMCPMC12364482

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.