Evidence map›Paper›PMID 39071294›Full record

ArticlebioRxiv : the preprint server for biology2024

MalKinID: A Likelihood-Based Model for Identifying Malaria Parasite Genealogical Relationships Using Identity-by-Descent.

Wesley Wong, Lea Wang, Stephen S Schaffner, Xue Li, Ian Cheeseman, Timothy J C Anderson, Ashley Vaughan, Michael Ferdig, Sarah K Volkman, Daniel L Hartl and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Wesley WongDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-5664-7143
Lea WangHarvard College, Harvard University, Cambridge, MA, USA.
Stephen S SchaffnerInfectious Disease and Microbiome Program, The Broad Institute, Cambridge, MA, USA.
Xue LiProgram in Disease Intervention and Prevention, Texas Biomedical Research Institute, San Antonio, TX, United States.
Ian CheesemanProgram in Host Pathogen Interactions, Texas Biomedical Research Institute, San Antonio, TX, United States.
Timothy J C AndersonProgram in Disease Intervention and Prevention, Texas Biomedical Research Institute, San Antonio, TX, United States.ORCID 0000-0002-0191-0204
Ashley VaughanCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, United States.
Michael FerdigDepartment of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America.
Sarah K VolkmanDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Daniel L HartlDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge MA USA.
Dyann F WirthDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA.

Funding

Systems genetics of artemisinin resistanceP01AI127338 · NIAID · UNIVERSITY OF NOTRE DAME · PI Michael T Ferdig, Ashley M Vaughan · 2017 to 2026
$21.3M
MAPPING DRUG RESISTANCE GENES IN PLASMODIUM FALCIPARUMR01AI048071 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Tim J Anderson · 2000 to 2026
$8.4M
Malaria Genomic Epidemiology for Identifying Sources of Malaria Infection and TransmissionR21AI141843 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI VOLKMAN, SARAH KAY · 2019 to 2020
$439k
MOLECULAR AND BIOCHEMICAL GENETICS LABORATORY RENOVATIONC06RR013556 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 1998 to 1998
–
NCRR NIH HHS C06 RR013556NIAID NIH HHS P01 AI127338NIAID NIH HHS R01 AI048071NIAID NIH HHS R21 AI141843
6 · The paper itself

Abstract

Pathogen genomics is a powerful tool for tracking infectious disease transmission. In malaria, identity-by-descent (IBD) is used to assess the genetic relatedness between parasites and has been used to study transmission and importation. In theory, IBD can be used to distinguish genealogical relationships to reconstruct transmission history or identify parasites for genotype-to-phenotype quantitative-trait-locus experiments.

Identifiers

PMID39071294
PMCPMC11275886

What OpenQuestion holds

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LicenceCC BY-NC
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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.