DAC Accession Contact Person Email Access Information
EGAC00000000002 malariagen-idac@ethox.ox.ac.uk http://www.malariagen.net/science/howtoapplyfordataaccess

This DAC controls 9 datasets:

Dataset Accession Technology Samplessort descending Description
EGAD00000000019 0 840 families where both parents have been genotyped together with the child with severe malaria
EGAD00000000020 0 685 families where both parents have been genotyped together with the child with severe malaria
EGAD00000000017 0 Cord blood control samples from Gambia
EGAD00000000018 0 Severe malaria cases from Gambia
EGAD00010000572 2870 Imputation-based meta-analysis of severe malaria in Gambia.
EGAD00010000570 3343 Imputation-based meta-analysis of severe malaria in Kenya.
EGAD00010000904 Illumina Omni 2.5M 3865 Genome-wide study of resistance to severe malaria in eleven worldwide populations:Kenya
EGAD00010000902 Illumina Omni 2.5M 5594 Genome-wide study of resistance to severe malaria in eleven worldwide populations:Gambia
EGAD00010001081 Illumina Omni 2.5M 11657 Summary statistics for Malaria Genomic Epidemiology Network, "A novel locus of resistance to severe malaria in a region of ancient balancing selection", Nature (2015)

DAC description

Access to individual-level genotype data is available by application to the MalariaGEN Independent Data Access Committee. Access to data will be granted to qualified investigators for appropriate use. For further information information on data release policy and data access application form, please follow the link below.