Replication Data for: Characterizing Plasmodium falciparum genetic diversity and complexity of infections in clinical malaria infections in Western and Coastal Kenya using the poly-alpha microsatellite marker (doi:10.7910/DVN/DAHYSD)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Replication Data for: Characterizing Plasmodium falciparum genetic diversity and complexity of infections in clinical malaria infections in Western and Coastal Kenya using the poly-alpha microsatellite marker

Identification Number:

doi:10.7910/DVN/DAHYSD

Distributor:

Harvard Dataverse

Date of Distribution:

2025-03-17

Version:

2

Bibliographic Citation:

Achieng, Nicole; Kimenyi, K. Muteru; Mgawe, Cavin; Ndwiga, Leonard; Ochola-Oyier, Lynette Isabella, 2025, "Replication Data for: Characterizing Plasmodium falciparum genetic diversity and complexity of infections in clinical malaria infections in Western and Coastal Kenya using the poly-alpha microsatellite marker", https://doi.org/10.7910/DVN/DAHYSD, Harvard Dataverse, V2, UNF:6:1X4CWOSdFdKC1T6kemZecQ== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Characterizing Plasmodium falciparum genetic diversity and complexity of infections in clinical malaria infections in Western and Coastal Kenya using the poly-alpha microsatellite marker

Identification Number:

doi:10.7910/DVN/DAHYSD

Authoring Entity:

Achieng, Nicole (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Kimenyi, K. Muteru (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Mgawe, Cavin (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Ndwiga, Leonard (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Ochola-Oyier, Lynette Isabella (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Distributor:

Harvard Dataverse

Access Authority:

Achieng, Nicole

Access Authority:

Kimenyi, K. Muteru

Access Authority:

The Data Governance Committee

Depositor:

Achieng, Nicole

Date of Deposit:

2025-03-17

Holdings Information:

https://doi.org/10.7910/DVN/DAHYSD

Study Scope

Keywords:

Medicine, Health and Life Sciences, Genotyping, poly-alpha

Abstract:

<p>This is a replication dataset for the manuscript titled: “<i><strong>Characterizing Plasmodium falciparum genetic diversity and complexity of infections in clinical malaria infections in Western and Coastal Kenya using the poly-alpha microsatellite marker</strong></i>.”</p> <p>Poly-alpha microsatellite marker was genotyped from the isolates by PCR, fragment sizes determined by capillary electrophoresis and fragment data analyzed, per sample, using the GeneMarker software. The data shared comprises of fragment sizes from both the major and minor genotypes, per isolate, that were used to determine polyclonality. Only the major genotype was used to determine the expected heterozygosity (He). The parasitemia and age information for each isolate, where applicable, are also provided.</p>

Kind of Data:

Open Access

Methodology and Processing

Sources Statement

Data Access

Notes:

The files will be publicly available once the manuscript is published.

Other Study Description Materials

File Description--f10989488

File: COI_combined_data.tab

  • Number of cases: 170

  • No. of variables per record: 3

  • Type of File: text/tab-separated-values

Notes:

UNF:6:cIvhZZ0tpAGcP66tErs/gQ==

This file contains information about the COI per study participants in the two study locations

File Description--f10989486

File: Combined_genotypes.tab

  • Number of cases: 84

  • No. of variables per record: 4

  • Type of File: text/tab-separated-values

Notes:

UNF:6:2x3xglQ7rX9EVvnFgcotRQ==

This file contains information about the genotypes and their frequencies per study location

File Description--f10989489

File: Combined_major_genotypes.tab

  • Number of cases: 170

  • No. of variables per record: 3

  • Type of File: text/tab-separated-values

Notes:

UNF:6:cZtXAGgpzK6x61sI5NhIPg==

This file contains information about the major genotypes per sample per study location that was used for genetic analyses

File Description--f10989487

File: Combined_metadata.tab

  • Number of cases: 157

  • No. of variables per record: 4

  • Type of File: text/tab-separated-values

Notes:

UNF:6:DQ3ivo63Lif4l2PfU1M9Lw==

This file contains age, parasitemia and gender information for the samples from the both study locations.

Other Study-Related Materials

Label:

Achieng_et_al_Data Dictionary.pdf

Notes:

application/pdf

Other Study-Related Materials

Label:

Readme_Achieng_et_al.txt

Notes:

text/plain