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Glioma risk associated with extent of estimated European genetic ancestry in African Americans and Hispanics
Author(s) -
Ostrom Quinn T.,
Egan Kathleen M.,
Nabors L. Burt,
Gerke Travis,
Thompson Reid C.,
Olson Jeffrey J.,
LaRocca Renato,
Chowdhary Sajeel,
EckelPassow Jeanette E.,
Armstrong Georgina,
Wiencke John K.,
Bernstein Jonine L.,
Claus Elizabeth B.,
Il'yasova Dora,
Johansen Christoffer,
Lachance Daniel H.,
Lai Rose K.,
Merrell Ryan T.,
Olson Sara H.,
Sadetzki Siegal,
Schildkraut Joellen M.,
Shete Sanjay,
Houlston Richard S.,
Jenkins Robert B.,
Wrensch Margaret R.,
Melin Beatrice,
Amos Christopher I.,
Huse Jason T.,
BarnholtzSloan Jill S.,
Bondy Melissa L.
Publication year - 2019
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.32318
Subject(s) - glioma , genome wide association study , genetic genealogy , incidence (geometry) , 1000 genomes project , medicine , genetic association , logistic regression , demography , genetics , biology , oncology , single nucleotide polymorphism , genotype , population , gene , environmental health , physics , sociology , optics
Glioma incidence is highest in non‐Hispanic Whites, and to date, glioma genome‐wide association studies (GWAS) to date have only included European ancestry (EA) populations. African Americans and Hispanics in the US have varying proportions of EA, African (AA) and Native American ancestries (NAA). It is unknown if identified GWAS loci or increased EA is associated with increased glioma risk. We assessed whether EA was associated with glioma in African Americans and Hispanics. Data were obtained for 832 cases and 675 controls from the Glioma International Case–Control Study and GliomaSE Case–Control Study previously estimated to have <80% EA, or self‐identify as non‐White. We estimated global and local ancestry using fastStructure and RFMix, respectively, using 1,000 genomes project reference populations. Within groups with ≥40% AA (AFR ≥0.4 ), and ≥15% NAA (AMR ≥0.15 ), genome‐wide association between local EA and glioma was evaluated using logistic regression conditioned on global EA for all gliomas. We identified two regions (7q21.11, p = 6.36 × 10 −4 ; 11p11.12, p = 7.0 × 10 −4 ) associated with increased EA, and one associated with decreased EA (20p12.13, p = 0.0026) in AFR ≥0.4 . In addition, we identified a peak at rs1620291 ( p = 4.36 × 10 −6 ) in 7q21.3. Among AMR ≥0.15 , we found an association between increased EA in one region (12q24.21, p = 8.38 × 10 −4 ), and decreased EA in two regions (8q24.21, p = 0. 0010; 20q13.33, p = 6.36 × 10 −4 ). No other significant associations were identified. This analysis identified an association between glioma and two regions previously identified in EA populations (8q24.21, 20q13.33) and four novel regions (7q21.11, 11p11.12, 12q24.21 and 20p12.13). The identifications of novel association with EA suggest regions to target for future genetic association studies.