Ochola-Oyier, LI, Okombo, J, Wagatua, N, Ochieng, J, Tetteh, KK, Fegan, G, Bejon, P and Marsh, K. 2016. MOESM4 of Comparison of allele frequencies of Plasmodium falciparum merozoite antigens in malaria infections sampled in different years in a Kenyan population. [Online]. Figshare. Available from: https://doi.org/10.6084/m9.figshare.c.3603686_D5.v1
Ochola-Oyier, LI, Okombo, J, Wagatua, N, Ochieng, J, Tetteh, KK, Fegan, G, Bejon, P and Marsh, K. MOESM4 of Comparison of allele frequencies of Plasmodium falciparum merozoite antigens in malaria infections sampled in different years in a Kenyan population [Internet]. Figshare; 2016. Available from: https://doi.org/10.6084/m9.figshare.c.3603686_D5.v1
Ochola-Oyier, LI, Okombo, J, Wagatua, N, Ochieng, J, Tetteh, KK, Fegan, G, Bejon, P and Marsh, K (2016). MOESM4 of Comparison of allele frequencies of Plasmodium falciparum merozoite antigens in malaria infections sampled in different years in a Kenyan population. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3603686_D5.v1
Description
Linkage disequilibrium (LD) analysis of all high frequency (>5%) SNPs in all 15 merozoite genes, except eba181 due to limited SNP data. The analysis was performed by conducting all possible pair-wise comparisons between all the SNPs across 14 merozoite genes using a pair-wise correlation analysis and a Bonferroni correction for multiple comparisons. The red boxes represent significant correlations between SNPs and thus SNPs in LD, orange represents correlations between SNPs that are not significant, white indicates the SNPs that are not correlated and therefore they are not in LD and grey represents cases where the SNP data is missing in one or both of the paired SNPs.
Keywords
Data capture method | Experiment | ||||||||
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Data Collection Period |
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Date (Date published in a 3rd party system) | 6 May 2016 | ||||||||
Geographical area covered (offline during plugin upgrade) |
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Language(s) of written materials | English |
Data Creators | Ochola-Oyier, LI, Okombo, J, Wagatua, N, Ochieng, J, Tetteh, KK, Fegan, G, Bejon, P and Marsh, K |
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LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Immunology and Infection (-2019) |
Participating Institutions | KEMRI-Wellcome Trust Collaborative Programme, London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 18 May 2016 11:34 |
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Last Modified | 04 Oct 2024 09:27 |
Publisher | Figshare |
Downloads
Data / Code
Filename: File1-PCRconditions_and_PrimerSequences.xlsx
Description: PCR conditions and primer sequences for the gene regions analysed in the 15 merozoite genes
Content type: Dataset
File size: 17kB
Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Filename: File2-Merozoite_gene.docx
Description: Merozoite gene allele frequencies in the uncomplicated malaria infections between 2007 and 2008
Content type: Dataset
File size: 21kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: File3-genotypeParasitePairs.docx
Description: The proportion of same and different genotype parasite pairs in vivo and in vitro
Content type: Dataset
File size: 21kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: File4-LD_analysis.xlsx
Description: Linkage disequilibrium (LD) analysis of all high frequency (>5%) SNPs in all 15 merozoite genes, except eba181 due to limited SNP data
Content type: Dataset
File size: 347kB
Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Filename: File5-SNPs_RepeatRegionFrequencies.xlsx
Description: SNPs and repeat region frequencies within the 15 merozoite genes from the uncomplicated malaria infections in 2007 and 2008 to identify significant SNPs
Content type: Dataset
File size: 47kB
Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Filename: File6_Rh5_SNPs.docx
Description: Rh5 SNPs in 11 geographically distinct laboratory isolates
Content type: Dataset
File size: 12kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document