Genomics

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MalariaGEN data access committee

ABSTRACT: 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.

PROVIDER: EGAC00000000002 | EGA |

REPOSITORIES: EGA

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Publications

Genome-wide and fine-resolution association analysis of malaria in West Africa.

Jallow Muminatou M   Teo Yik Ying YY   Small Kerrin S KS   Rockett Kirk A KA   Deloukas Panos P   Clark Taane G TG   Kivinen Katja K   Bojang Kalifa A KA   Conway David J DJ   Pinder Margaret M   Sirugo Giorgio G   Sisay-Joof Fatou F   Usen Stanley S   Auburn Sarah S   Bumpstead Suzannah J SJ   Campino Susana S   Coffey Alison A   Dunham Andrew A   Fry Andrew E AE   Green Angela A   Gwilliam Rhian R   Hunt Sarah E SE   Inouye Michael M   Jeffreys Anna E AE   Mendy Alieu A   Palotie Aarno A   Potter Simon S   Ragoussis Jiannis J   Rogers Jane J   Rowlands Kate K   Somaskantharajah Elilan E   Whittaker Pamela P   Widden Claire C   Donnelly Peter P   Howie Bryan B   Marchini Jonathan J   Morris Andrew A   SanJoaquin Miguel M   Achidi Eric Akum EA   Agbenyega Tsiri T   Allen Angela A   Amodu Olukemi O   Corran Patrick P   Djimde Abdoulaye A   Dolo Amagana A   Doumbo Ogobara K OK   Drakeley Chris C   Dunstan Sarah S   Evans Jennifer J   Farrar Jeremy J   Fernando Deepika D   Hien Tran Tinh TT   Horstmann Rolf D RD   Ibrahim Muntaser M   Karunaweera Nadira N   Kokwaro Gilbert G   Koram Kwadwo A KA   Lemnge Martha M   Makani Julie J   Marsh Kevin K   Michon Pascal P   Modiano David D   Molyneux Malcolm E ME   Mueller Ivo I   Parker Michael M   Peshu Norbert N   Plowe Christopher V CV   Puijalon Odile O   Reeder John J   Reyburn Hugh H   Riley Eleanor M EM   Sakuntabhai Anavaj A   Singhasivanon Pratap P   Sirima Sodiomon S   Tall Adama A   Taylor Terrie E TE   Thera Mahamadou M   Troye-Blomberg Marita M   Williams Thomas N TN   Wilson Michael M   Kwiatkowski Dominic P DP  

Nature genetics 20090524 6

We report a genome-wide association (GWA) study of severe malaria in The Gambia. The initial GWA scan included 2,500 children genotyped on the Affymetrix 500K GeneChip, and a replication study included 3,400 children. We used this to examine the performance of GWA methods in Africa. We found considerable population stratification, and also that signals of association at known malaria resistance loci were greatly attenuated owing to weak linkage disequilibrium (LD). To investigate possible soluti  ...[more]

PMID: 19465909

Publication: 1/2

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