BACKGROUND: Genome-wide association studies focusing on European-ancestry populations have identified ALL risk loci on IKZF1, ARID5B, and CEBPE. To capture the impacts of these genes on ALL risk in the California Hispanic population, we comprehensively assessed the variation within the genes and further assessed the joint effects between the genetic variation and surrogates for early-life infections (the presence of older siblings, daycare attendance, and ear infections). METHODS: Genotypic data for 323 Hispanic ALL cases and 454 controls from the California Childhood Leukemia Study were generated using Illumina OmniExpress v1 platform. Logistic regression assuming a log-additive model estimated odds ratios (OR) associated with each SNP, adjusted for age, sex, and the first five principal components. In addition, we examined potential interactions between six ALL risk alleles and surrogates for early-life infections using logistic regression models that included an interaction term. RESULTS: Significant associations between genotypes at IKZF1, ARID5B, and CEBPE and ALL risk were identified: rs7780012, OR 0.50, 95% confidence interval (CI) 0.35-0.71 (p = 0.004); rs7089424, OR 2.12, 95% CI 1.70-2.65 (p = 1.16 × 10(-9)); rs4982731, OR 1.69, 95% CI 1.37-2.08 (p = 2.35 × 10(-6)), respectively. Evidence for multiplicative interactions between genetic variants and surrogates for early-life infections with ALL risk was not observed. CONCLUSIONS: Consistent with findings in non-Hispanic White population, our study showed that variants within IKZF1, ARID5B, and CEBPE were associated with increased ALL risk, and the effects for ARID5B and CEBPE were most prominent in the high-hyperdiploid ALL subtype in the California Hispanic population. Results implicate the ARID5B, CEBPE, and IKZF1 genes in the pathogenesis of childhood ALL.
BACKGROUND: Genome-wide association studies focusing on European-ancestry populations have identified ALL risk loci on IKZF1, ARID5B, and CEBPE. To capture the impacts of these genes on ALL risk in the California Hispanic population, we comprehensively assessed the variation within the genes and further assessed the joint effects between the genetic variation and surrogates for early-life infections (the presence of older siblings, daycare attendance, and ear infections). METHODS: Genotypic data for 323 Hispanic ALL cases and 454 controls from the California Childhood Leukemia Study were generated using Illumina OmniExpress v1 platform. Logistic regression assuming a log-additive model estimated odds ratios (OR) associated with each SNP, adjusted for age, sex, and the first five principal components. In addition, we examined potential interactions between six ALL risk alleles and surrogates for early-life infections using logistic regression models that included an interaction term. RESULTS: Significant associations between genotypes at IKZF1, ARID5B, and CEBPE and ALL risk were identified: rs7780012, OR 0.50, 95% confidence interval (CI) 0.35-0.71 (p = 0.004); rs7089424, OR 2.12, 95% CI 1.70-2.65 (p = 1.16 × 10(-9)); rs4982731, OR 1.69, 95% CI 1.37-2.08 (p = 2.35 × 10(-6)), respectively. Evidence for multiplicative interactions between genetic variants and surrogates for early-life infections with ALL risk was not observed. CONCLUSIONS: Consistent with findings in non-Hispanic White population, our study showed that variants within IKZF1, ARID5B, and CEBPE were associated with increased ALL risk, and the effects for ARID5B and CEBPE were most prominent in the high-hyperdiploid ALL subtype in the California Hispanic population. Results implicate the ARID5B, CEBPE, and IKZF1 genes in the pathogenesis of childhood ALL.
Authors: L Orsi; J Rudant; A Bonaventure; S Goujon-Bellec; E Corda; T-J Evans; A Petit; Y Bertrand; B Nelken; A Robert; G Michel; N Sirvent; P Chastagner; S Ducassou; X Rialland; D Hémon; E Milne; R J Scott; A Baruchel; J Clavel Journal: Leukemia Date: 2012-06-04 Impact factor: 11.528
Authors: Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich Journal: Nat Genet Date: 2006-07-23 Impact factor: 38.330
Authors: Andrew D Johnson; Robert E Handsaker; Sara L Pulit; Marcia M Nizzari; Christopher J O'Donnell; Paul I W de Bakker Journal: Bioinformatics Date: 2008-10-30 Impact factor: 6.937
Authors: R P Kuiper; E Waanders; V H J van der Velden; S V van Reijmersdal; R Venkatachalam; B Scheijen; E Sonneveld; J J M van Dongen; A J P Veerman; F N van Leeuwen; A Geurts van Kessel; P M Hoogerbrugge Journal: Leukemia Date: 2010-05-06 Impact factor: 11.528
Authors: C Virely; S Moulin; C Cobaleda; C Lasgi; A Alberdi; J Soulier; F Sigaux; S Chan; P Kastner; J Ghysdael Journal: Leukemia Date: 2010-04-15 Impact factor: 11.528
Authors: Xiaomei Ma; Patricia A Buffler; Joseph L Wiemels; Steve Selvin; Catherine Metayer; Mignon Loh; Monique B Does; John K Wiencke Journal: Cancer Epidemiol Biomarkers Prev Date: 2005-08 Impact factor: 4.254
Authors: Melinda C Aldrich; Luoping Zhang; Joseph L Wiemels; Xiaomei Ma; Mignon L Loh; Catherine Metayer; Steve Selvin; James Feusner; Martyn T Smith; Patricia A Buffler Journal: Cancer Epidemiol Biomarkers Prev Date: 2006-03 Impact factor: 4.254
Authors: Elli Papaemmanuil; Fay J Hosking; Jayaram Vijayakrishnan; Amy Price; Bianca Olver; Eammon Sheridan; Sally E Kinsey; Tracy Lightfoot; Eve Roman; Julie A E Irving; James M Allan; Ian P Tomlinson; Malcolm Taylor; Mel Greaves; Richard S Houlston Journal: Nat Genet Date: 2009-08-16 Impact factor: 38.330
Authors: Ling-I Hsu; Farren Briggs; Xiaorong Shao; Catherine Metayer; Joseph L Wiemels; Anand P Chokkalingam; Lisa F Barcellos Journal: Cancer Epidemiol Biomarkers Prev Date: 2016-03-03 Impact factor: 4.254