Genome Wide Association Study of Fetal Hemoglobin in Sickle Cell Anemia in Tanzania
Author(s) -
Siakya,
Tarjinder Singh,
Helen Rooks,
Josephine Mgaya,
Harvest Mariki,
Deogratius Soka,
Bruno P. Mmbando,
Evarist Msaki,
I. Kolder,
Swee Lay Thein,
Stephan Menzel,
Sharon E. Cox,
Julie Makani,
Jeffrey C. Barrett
Publication year - 2014
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0111464
Subject(s) - genome wide association study , fetal hemoglobin , genotyping , biology , imputation (statistics) , genetics , genetic association , population , sickle cell anemia , genotype , single nucleotide polymorphism , medicine , gene , fetus , pregnancy , cell , environmental health , machine learning , missing data , computer science
Background Fetal hemoglobin (HbF) is an important modulator of sickle cell disease (SCD). HbF has previously been shown to be affected by variants at three loci on chromosomes 2, 6 and 11, but it is likely that additional loci remain to be discovered. Methods and Findings We conducted a genome-wide association study (GWAS) in 1,213 SCA (HbSS/HbSβ 0 ) patients in Tanzania. Genotyping was done with Illumina Omni2.5 array and imputation using 1000 Genomes Phase I release data. Association with HbF was analysed using a linear mixed model to control for complex population structure within our study. We successfully replicated known associations for HbF near BCL11A and the HBS1L - MYB intergenic polymorphisms (HMIP), including multiple independent effects near BCL11A , consistent with previous reports. We observed eight additional associations with P<10 −6 . These associations could not be replicated in a SCA population in the UK. Conclusions This is the largest GWAS study in SCA in Africa. We have confirmed known associations and identified new genetic associations with HbF that require further replication in SCA populations in Africa.
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