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National Cancer Institute - Population Structure and Natural Selection in the Epidemiology of Burkitt Lymphoma in East African Chi...
National Cancer Institute - Population Structure and Natural Selection in the Epidemiology of Burkitt Lymphoma in East African Children and Minors (EMBLEM) study in Uganda
Data Resource:
dbGaP
Point of Contact:
Sam M. Mbulaiteye, MD
,
mbulaits@mail.nih.gov
Project
About This Dataset
A genome-wide analysis of genetic structure, gene flow, and natural selection was conducted in populations in the endemic Burkitt lymphoma (eBL) belt in Ghana and Northern Uganda, both subject to a high incidence of falciparum malaria and eBL. These populations have different ethnolinguistic ancestries and are located 2400 miles apart in sub-Saharan Africa. We characterized genetic composition of these populations in the context of 22 additional African populations and present evidence for gene flow events that occurred in the last 3000 years, possibly related to regional migrations in Western Africa and major migrations involving Nilotic, Cushitic, and Bantu groups. The Ugandan population was comprised of 758 children (mean age ~7 years) from 17 Western Nilo-Saharan tribes. The current dataset includes 561 healthy children and 197 children with eBL from northern Uganda.
Core Data Elements
Number of Cases
568
Case Sex
Female (243); Male (320); Not Reported (5)
Case Age At Diagnosis
0 to 4 years (108); 5 to 9 years (369); 10 to 14 years (91)
Case Race
Black or African American (568)
Case Ethnicity
Not Hispanic or Latino (568)
Case Disease Diagnosis
Burkitt Lymphoma (568)
Number of Samples
568
Sample Anatomic Site
Mouth (48); Peripheral Blood (520)
Additional Data Elements
DBGAP STUDY IDENTIFIER
phs001705
GEO STUDY IDENTIFIER
GSE35163
GSE35163
Grant Information
HHSN261201100007I
Intramural Research Program of the Division of Cancer Epidemiology and Genetics, NCI
HHSN261201100063C
Intramural Research Program of the Division of Cancer Epidemiology and Genetics, NCI
Published In
https://doi.org/10.1002/ijc.23800
https://doi.org/10.1016/j.ebiom.2017.09.037
https://doi.org/10.1038/nature11378
https://doi.org/10.1016/j.ebiom.2017.09.037;https://doi.org/10.1038/nature11378;https://doi.org/10.1002/ijc.23800
Charts
case sex
Male (320);
Female (243);
Not Reported (5)
320
Male