Evidence map›Paper›PMID 38814915›Full record

ArticlePLOS global public health2024

Analytic optimization of Plasmodium falciparum marker gene haplotype recovery from amplicon deep sequencing of complex mixtures.

Zena Lapp, Elizabeth Freedman, Kathie Huang, Christine F Markwalter, Andrew A Obala, Wendy Prudhomme-O'Meara, Steve M Taylor

Abstract read
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Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Zena LappDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.
Elizabeth FreedmanDivision of Infectious Diseases, School of Medicine, Duke University, Durham, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-7093-535X
Kathie HuangDivision of Infectious Diseases, School of Medicine, Duke University, Durham, North Carolina, United States of America.
Christine F MarkwalterDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.
Andrew A ObalaSchool of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya.ORCID https://orcid.org/0000-0003-3730-5484
Wendy Prudhomme-O'MearaDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.
Steve M TaylorDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-2783-0990

Funding

Once bitten: A longitudinal, observational study of successful malaria parasite transmission events between humans and mosquitosR01AI146849 · NIAID · DUKE UNIVERSITY · PI PRUDHOMMEOMEARA, WENDY, TAYLOR, STEVE MYER · 2019 to 2023
$3.0M
Synthesizing immunoinformatics and genetic epidemiology to identify signatures of natural functional immunity to malaria parasitesK01AI175527 · NIAID · DUKE UNIVERSITY · PI Christine Markwalter · 2023 to 2026
$486k
NIAID NIH HHS K01 AI175527NIAID NIH HHS R01 AI146849
6 · The paper itself

Abstract

Molecular epidemiologic studies of malaria parasites and other pathogens commonly employ amplicon deep sequencing (AmpSeq) of marker genes derived from dried blood spots (DBS) to answer public health questions related to topics such as transmission and drug resistance. As these methods are increasingly employed to inform direct public health action, it is important to rigorously evaluate the risk of false positive and false negative haplotypes derived from clinically-relevant sample types. We performed a control experiment evaluating haplotype recovery from AmpSeq of 5 marker genes (ama1, csp, msp7, sera2, and trap) from DBS containing mixtures of DNA from 1 to 10 known P. falciparum reference strains across 3 parasite densities in triplicate (n = 270 samples). While false positive haplotypes were present across all parasite densities and mixtures, we optimized censoring criteria to remove 83% (148/179) of false positives while removing only 8% (67/859) of true positives. Post-censoring, the median pairwise Jaccard distance between replicates was 0.83. We failed to recover 35% (477/1365) of haplotypes expected to be present in the sample. Haplotypes were more likely to be missed in low-density samples with <1.5 genomes/μL (OR: 3.88, CI: 1.82-8.27, vs. high-density samples with ≥75 genomes/μL) and in samples with lower read depth (OR per 10,000 reads: 0.61, CI: 0.54-0.69). Furthermore, minority haplotypes within a sample were more likely to be missed than dominant haplotypes (OR per 0.01 increase in proportion: 0.96, CI: 0.96-0.97). Finally, in clinical samples the percent concordance across markers for multiplicity of infection ranged from 40%-80%. Taken together, our observations indicate that, with sufficient read depth, the majority of haplotypes can be successfully recovered from DBS while limiting the false positive rate.

Identifiers

PMID38814915
PMCPMC11139333

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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.