Genomics

Dataset Information

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APCDR AGV Project: Whole genome sequencing of 3 African populations (curated data)

ABSTRACT: The African Genome Variation Project (AGVP) provides a resource to help design, implement and interpret genomic studies in sub-Saharan Africa (SSA) and worldwide. The AGVP represents dense genotypes from 1,481 and whole genome sequences (WGS) from 320 individuals across SSA. As part of the AGVP we sequenced 3 African populations; Baganda from Uganda (4x), Zulu from South Africa (4x), Gumuz, Wolayta, Oromo, Somali and Amhara from Ethiopia (8x).

PROVIDER: EGAS00001000960 | EGA |

REPOSITORIES: EGA

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The African Genome Variation Project shapes medical genetics in Africa.

Gurdasani Deepti D   Carstensen Tommy T   Tekola-Ayele Fasil F   Pagani Luca L   Tachmazidou Ioanna I   Hatzikotoulas Konstantinos K   Karthikeyan Savita S   Iles Louise L   Pollard Martin O MO   Choudhury Ananyo A   Ritchie Graham R S GR   Xue Yali Y   Asimit Jennifer J   Nsubuga Rebecca N RN   Young Elizabeth H EH   Pomilla Cristina C   Kivinen Katja K   Rockett Kirk K   Kamali Anatoli A   Doumatey Ayo P AP   Asiki Gershim G   Seeley Janet J   Sisay-Joof Fatoumatta F   Jallow Muminatou M   Tollman Stephen S   Mekonnen Ephrem E   Ekong Rosemary R   Oljira Tamiru T   Bradman Neil N   Bojang Kalifa K   Ramsay Michele M   Adeyemo Adebowale A   Bekele Endashaw E   Motala Ayesha A   Norris Shane A SA   Pirie Fraser F   Kaleebu Pontiano P   Kwiatkowski Dominic D   Tyler-Smith Chris C   Rotimi Charles C   Zeggini Eleftheria E   Sandhu Manjinder S MS  

Nature 20141203 7534

Given the importance of Africa to studies of human origins and disease susceptibility, detailed characterization of African genetic diversity is needed. The African Genome Variation Project provides a resource with which to design, implement and interpret genomic studies in sub-Saharan Africa and worldwide. The African Genome Variation Project represents dense genotypes from 1,481 individuals and whole-genome sequences from 320 individuals across sub-Saharan Africa. Using this resource, we find  ...[more]

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