Evidence map›Paper›PMID 39579070›Full record

ArticleGenetics2025

MalKinID: A classification model for identifying malaria parasite genealogical relationships using identity-by-descent.

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

Abstract read
In one paragraph

Article in Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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, Harvard University, Boston, MA 02115, USA.ORCID 0000-0001-5664-7143
Lea WangHarvard College, Harvard University, Cambridge, MA 02138, USA.
Stephen F SchaffnerInfectious Disease and Microbiome Program, Broad Institute, Cambridge, MA 02142, USA.ORCID 0000-0001-6699-3568
Xue LiProgram in Disease Intervention and Prevention, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Ian CheesemanProgram in Host Pathogen Interactions, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Timothy J C AndersonProgram in Disease Intervention and Prevention, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Ashley VaughanCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA 98105, USA.
Michael FerdigDepartment of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN 46556, USA.
Sarah K VolkmanDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.
Daniel L HartlDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.
Dyann F WirthDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.ORCID 0000-0002-8604-4455

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
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
–
Bill and Melinda Gates Foundation OPP1156051NCRR NIH HHS C06 RR013556NIAID NIH HHS P01 AI127338NIAID NIH HHS R01 AI048071NIAID NIH HHS R21 AI141843NIH HHS 5P01AI127338-07NIH HHS P51 OD011133
6 · The paper itself

Abstract

Pathogen genomics is a powerful tool for tracking infectious disease transmission. In malaria, identity-by-descent is used to assess the genetic relatedness between parasites and has been used to study transmission and importation. In theory, identity-by-descent can be used to distinguish genealogical relationships to reconstruct transmission history or identify parasites for QTL experiments. MalKinID (Malaria Kinship Identifier) is a new classification model designed to identify genealogical relationships among malaria parasites based on genome-wide identity-by-descent proportions and identity-by-descent segment distributions. MalKinID was calibrated to the genomic data from 3 laboratory-based genetic crosses (yielding 440 parent-child and 9060 full-sibling comparisons). MalKinID identified lab-generated F1 progeny with >80% sensitivity and showed that 0.39 (95% CI 0.28, 0.49) of the second-generation progeny of a NF54 and NHP4026 cross were F1s and 0.56 (0.45, 0.67) were backcrosses of an F1 with the parental NF54 strain. In simulated outcrossed importations, MalKinID reconstructs genealogy history with high precision and sensitivity, with F1-scores exceeding 0.84. However, when importation involves inbreeding, such as during serial co-transmission, the precision and sensitivity of MalKinID declined, with F1-scores (the harmonic mean of precision and sensitivity) of 0.76 (0.56, 0.92) and 0.23 (0.0, 0.4) for parent-child and full-sibling and <0.05 for second-degree and third-degree relatives. Disentangling inbred relationships required adapting MalKinID to perform multisample comparisons. Genealogical inference is most powered when (1) outcrossing is the norm or (2) multisample comparisons based on a predefined pedigree are used. MalKinID lays the foundations for using identity-by-descent to track parasite transmission history and for separating progeny for quantitative-trait-locus experiments.

Indexed as

MalariaModels, GeneticAnimalsCrosses, GeneticHumansPedigreegenealogygenetic relatednessidentity-by-descentinferencemalaria

Identifiers

PMID39579070
PMCPMC11796457

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.