Af1.4#

The Af1.4: Anopheles gambiae data resource contains single nucleotide polymorphism (SNP) calls, copy number variant (CNV) calls and SNP haplotypes from whole-genome sequencing of 733 mosquitoes.

More information about this release can be found in the data resource website.

This page provides an introduction to open data resources released as part of Af1.4.

If you have any questions about this guide or how to use the data, please start a new discussion on the malariagen/vector-open-data repo on GitHub. If you find any bugs, please raise an issue.

Terms of use#

Data from this project will be made publicly available before journal publication. Unless otherwise stated, analyses of project data are ongoing and publications are in preparation by project partners, and it is not permitted to use project data for publication (including any type of communication with the general public) without prior permission from the originating partner studies.

Although malaria is generally an endemic rather than an epidemic disease, and the focus of this project is on surveillance of disease vectors rather than pathogens, our data terms of use build on MalariaGEN’s approach to data sharing, and adopt norms which have been established for rapid sharing of pathogen genomic data during disease outbreaks. The primary rationale for this approach is that malaria remains a public health emergency, where ethically appropriate and rapid sharing of genomic surveillance data can help to detect and respond to biological threats such as new forms of insecticide resistance, and to adapt malaria vector control strategies to different settings and changing circumstances.

The publication embargo for all data on this release will expire on the 16th of August 2026.

If you have any questions about the terms of use, please email support@malariagen.net

Partner studies#

1188-VO-SN-NIANG - Anopheles gambiae vector surveillance in Senegal.
1330-VO-GN-LAMA - Anopheles gambiae vector surveillance in Guinea.
1354-VO-KE-DONNELLY - Anopheles vector surveillance in Kenya.

Whole-genome sequencing and variant calling#

All samples in Af1.4 have been sequenced individually to high coverage using Illumina technology at the Wellcome Sanger Institute. These sequence data have then been analysed to identify genetic variants such as single nucleotide polymorphisms (SNPs). After variant calling, both the samples and the variants have been through a range of quality control analyses, to ensure the data are of high quality. Both the raw sequence data and the curated variant calls are openly available for download and analysis.

Data hosting#

Data from Af1.4 are hosted by several different services.

The SNP data have also been uploaded to Google Cloud, and can be analysed directly within the cloud without having to download or copy any data, including via free interactive computing services such as Google Colab. Further information about analysing these data in the cloud is provided in the cloud data access guide.

Sample sets#

The samples included in Af1.4 have been organised into 3 sample sets.

Each sample set corresponds to a set of mosquito specimens from a contributing study. Study details can be found in the partner studies webpages listed above.

	sample_set	sample_count
study_id
1188-VO-SN-NIANG	1188-VO-NIANG-NIEL-SN-2304-VMF00259	71
1330-VO-GN-LAMA	1330-VO-GN-LAMA-VMF00250	196
1354-VO-KE-DONNELLY	1354-VO-KE-DONNELLY-VMF00281	466

Here is a more detailed breakdown of the samples contained within this sample set, summarised by country, year of collection, and species:

			taxon	funestus
study_id	sample_set	country	year
1188-VO-SN-NIANG	1188-VO-NIANG-NIEL-SN-2304-VMF00259	Senegal	2020	11
			2021	16
			2022	44
1330-VO-GN-LAMA	1330-VO-GN-LAMA-VMF00250	Guinea	2022	196
1354-VO-KE-DONNELLY	1354-VO-KE-DONNELLY-VMF00281	Kenya	2023	466

Note that there can be multiple sampling sites represented within the same sample set.

MalariaGEN vector data user guide

Af1.4

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