Evidence map›Paper›PMID 31209105›Full record

ArticleGenetics2019

Estimating Relatedness Between Malaria Parasites.

Aimee R Taylor, Pierre E Jacob, Daniel E Neafsey, Caroline O Buckee

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
10.2field-weighted citation impact, top 1% 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

57 citing papers in PubMed, 96 citations in OpenAlex.

  1. Trial
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  6. Temporal trends inmedRxiv : the preprint server for health sciences · 2026
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  17. Sensitive and modular amplicon sequencing ofbioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. Population genetics ofFrontiers in genetics · 2025
    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

4 authors at 1 institution in 1 country.

Aimee R TaylorDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115 ataylor@hsph.harvard.edu.ORCID 0000-0002-2337-8992
Pierre E JacobDepartment of Statistics, Harvard University, Cambridge, Massachusetts 02138.ORCID 0000-0002-3126-6966
Daniel E NeafseyBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142.ORCID 0000-0002-1665-9323
Caroline O BuckeeDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115.ORCID 0000-0002-8386-5899
Harvard University · US

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI EARL, ASHLEE MIRIAM · 2014 to 2024
$66.5M
New approaches to measuring and containing the spatial spread of human pathogensR35GM124715 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BUCKEE, CAROLINE O'FLAHERTY · 2017 to 2021
$2.0M
NIAID NIH HHS U19 AI110818NIGMS NIH HHS R35 GM124715
6 · The paper itself

Abstract

Understanding the relatedness of individuals within or between populations is a common goal in biology. Increasingly, relatedness features in genetic epidemiology studies of pathogens. These studies are relatively new compared to those in humans and other organisms, but are important for designing interventions and understanding pathogen transmission. Only recently have researchers begun to routinely apply relatedness to apicomplexan eukaryotic malaria parasites, and to date have used a range of different approaches on an

Indexed as

PhylogenyGenome, ProtozoanModels, GeneticPedigreePlasmodium falciparumPlasmodium vivaxPolymorphism, Single Nucleotidegenetic epidemiologyhidden Markov modelidentity-by-descentidentity-by-stateindependence modelmalariaPlasmodium falciparumPlasmodium vivaxrelatedness

Identifiers

PMID31209105
PMCPMC6707449
OpenAlexW2951407752

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.