Evidence map›Paper›PMID 36645165›Full record

ArticleMolecular ecology2023

Implementing landscape genetics in molecular epidemiology to determine drivers of vector-borne disease: A malaria case study.

Alfred Hubbard, Elizabeth Hemming-Schroeder, Maxwell Gesuge Machani, Yaw Afrane, Guiyun Yan, Eugenia Lo, Daniel Janies

Abstract read
In one paragraph

Article in Molecular ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Alfred HubbardDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, North Carolina, Charlotte, USA.ORCID 0000-0003-4917-7272
Elizabeth Hemming-SchroederDepartment of Microbiology, Center for Vector-borne Infectious Diseases (CVID), Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0003-2569-5059
Maxwell Gesuge MachaniCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0002-2640-130X
Yaw AfraneDepartment of Medical Microbiology, University of Ghana Medical School, Accra, Ghana.ORCID 0000-0001-5653-5993
Guiyun YanProgram in Public Health, University of California, Irvine, California, USA.ORCID 0000-0001-8760-2925
Eugenia LoCenter for Computational Intelligence to Predict Health and Environmental Risks (CIPHER), University of North Carolina at Charlotte, Charlotte, North Carolina, USA.ORCID 0000-0002-5631-4709
Daniel JaniesDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, North Carolina, Charlotte, USA.ORCID 0000-0002-7890-9906

Funding

Vector Biology of Invasive Anopheles stephensi in Rural to Urban Landscapes in EthiopiaU19AI129326 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Delenasaw Yewhalaw · 2017 to 2026
$19.9M
Ecology of African Highland MalariaR01AI050243 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI YAN, GUIYUN · 2001 to 2018
$8.8M
Research Training in Mosquito Genomics and Bioinformat*D43TW001505 · FIC · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2000 to 2026
$6.0M
Plasmodium vivax Erythrocyte Invasion Mechanisms and Humoral Immune Response in Duffy Negative AfricansR01AI162947 · NIAID · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI Eugenia Lo · 2022 to 2026
$3.4M
FIC NIH HHS D43 TW001505NIAID NIH HHS R01 AI050243NIAID NIH HHS R01 AI162947NIAID NIH HHS U19 AI129326NIH HHS D43 TW001505NIH HHS R01 AI050243NIH HHS U19 AI129326
6 · The paper itself

Abstract

This study employs landscape genetics to investigate the environmental drivers of a deadly vector-borne disease, malaria caused by Plasmodium falciparum, in a more spatially comprehensive manner than any previous work. With 1804 samples from 44 sites collected in western Kenya in 2012 and 2013, we performed resistance surface analysis to show that Lake Victoria acts as a barrier to transmission between areas north and south of the Winam Gulf. In addition, Mantel correlograms clearly showed significant correlations between genetic and geographic distance over short distances (less than 70 km). In both cases, we used an identity-by-state measure of relatedness tailored to find highly related individual parasites in order to focus on recent gene flow that is more relevant to disease transmission. To supplement these results, we performed conventional population genetics analyses, including Bayesian clustering methods and spatial ordination techniques. These analyses revealed some differentiation on the basis of geography and elevation and a cluster of genetic similarity in the lowlands north of the Winam Gulf of Lake Victoria. Taken as a whole, these results indicate low overall genetic differentiation in the Lake Victoria region, but with some separation of parasite populations north and south of the Winam Gulf that is explained by the presence of the lake as a geographic barrier to gene flow. We recommend similar landscape genetics analyses in future molecular epidemiology studies of vector-borne diseases to extend and contextualize the results of traditional population genetics.

Indexed as

MalariaMalaria, FalciparumBayes TheoremHumansMicrosatellite RepeatsMolecular EpidemiologyPlasmodium falciparumlandscape geneticsmolecular epidemiologyPlasmodium falciparumrelatednessresistance surfacevector-borne disease

Identifiers

PMID36645165
PMCPMC10694861

What Socratic holds

Textmetadata
LicenceCC BY
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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.