Literature DB >> 35131881

Genetic Analysis in African American Children Supports Ancestry-Specific Neuroblastoma Susceptibility.

Alessandro Testori1,2,3, Zalman Vaksman4,5, Sharon J Diskin4,5, Hakon Hakonarson3,5, Mario Capasso1,2, Achille Iolascon1,2, John M Maris4,5, Marcella Devoto3,5,6,7.   

Abstract

BACKGROUND: Neuroblastoma is rarer in African American (AA) children compared with American children of European descent. AA children affected with neuroblastoma, however, more frequently develop the high-risk form of the disease.
METHODS: We have genotyped an AA cohort of 629 neuroblastoma cases (254 high-risk) and 2,990 controls to investigate genetic susceptibility to neuroblastoma in AAs.
RESULTS: We confirmed the known neuroblastoma susceptibility gene BARD1 at genome-wide significance in the subset of high-risk cases. We also estimated local admixture across the autosomal genome in the AA cases and controls and detected a signal at 4q31.22 where cases show an increase in European ancestry. A region at 17p13.1 showed increased African ancestry in the subgroup of high-risk cases with respect to intermediate- and low-risk cases. Using results from our published European American (EA) genome-wide association study (GWAS), we found that a polygenic score that included all independent SNPs showed a highly significant association (P value = 1.8 × 10-73) and explained 19% of disease risk variance in an independent EA cohort. In contrast, the best fit polygenic score (P value = 3.2 × 10-11) in AAs included only 22 independent SNPs with association P value < 2.75 × 10-6 in the EA GWAS, and explained 2% of neuroblastoma risk variance. The significance of the polygenic score dropped rapidly with inclusion of additional SNPs.
CONCLUSIONS: These findings suggest that several common variants contribute to risk of neuroblastoma in an ancestry-specific fashion. IMPACT: This work supports the need for GWAS to be performed in populations of all races and ethnicities. ©2022 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2022        PMID: 35131881      PMCID: PMC8983590          DOI: 10.1158/1055-9965.EPI-21-0782

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  42 in total

1.  The beauty of admixture.

Authors:  Ariel Darvasi; Sagiv Shifman
Journal:  Nat Genet       Date:  2005-02       Impact factor: 38.330

2.  A new multipoint method for genome-wide association studies by imputation of genotypes.

Authors:  Jonathan Marchini; Bryan Howie; Simon Myers; Gil McVean; Peter Donnelly
Journal:  Nat Genet       Date:  2007-06-17       Impact factor: 38.330

3.  RFMix: a discriminative modeling approach for rapid and robust local-ancestry inference.

Authors:  Brian K Maples; Simon Gravel; Eimear E Kenny; Carlos D Bustamante
Journal:  Am J Hum Genet       Date:  2013-08-01       Impact factor: 11.025

4.  Data quality control in genetic case-control association studies.

Authors:  Carl A Anderson; Fredrik H Pettersson; Geraldine M Clarke; Lon R Cardon; Andrew P Morris; Krina T Zondervan
Journal:  Nat Protoc       Date:  2010-08-26       Impact factor: 13.491

Review 5.  Genetic susceptibility to neuroblastoma.

Authors:  Vanessa P Tolbert; Grace E Coggins; John M Maris
Journal:  Curr Opin Genet Dev       Date:  2017-04-28       Impact factor: 5.578

6.  International variations in the incidence of neuroblastoma.

Authors:  C A Stiller; D M Parkin
Journal:  Int J Cancer       Date:  1992-10-21       Impact factor: 7.396

7.  PRSice: Polygenic Risk Score software.

Authors:  Jack Euesden; Cathryn M Lewis; Paul F O'Reilly
Journal:  Bioinformatics       Date:  2014-12-29       Impact factor: 6.937

8.  Neuroblastoma in Africa: A Survey by the Franco-African Pediatric Oncology Group.

Authors:  Fousseyni Traoré; Francis Eshun; Boubacar Togo; Jean Jacques Atteby Yao; Mbuli Robert Lukamba
Journal:  J Glob Oncol       Date:  2016-03-02

9.  A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog.

Authors:  Joannella Morales; Danielle Welter; Emily H Bowler; Maria Cerezo; Laura W Harris; Aoife C McMahon; Peggy Hall; Heather A Junkins; Annalisa Milano; Emma Hastings; Cinzia Malangone; Annalisa Buniello; Tony Burdett; Paul Flicek; Helen Parkinson; Fiona Cunningham; Lucia A Hindorff; Jacqueline A L MacArthur
Journal:  Genome Biol       Date:  2018-02-15       Impact factor: 13.583

10.  Common variation at 6q16 within HACE1 and LIN28B influences susceptibility to neuroblastoma.

Authors:  Sharon J Diskin; Mario Capasso; Robert W Schnepp; Kristina A Cole; Edward F Attiyeh; Cuiping Hou; Maura Diamond; Erica L Carpenter; Cynthia Winter; Hanna Lee; Jayanti Jagannathan; Valeria Latorre; Achille Iolascon; Hakon Hakonarson; Marcella Devoto; John M Maris
Journal:  Nat Genet       Date:  2012-09-02       Impact factor: 38.330

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.