Open Access Research article

Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance

Orsolya Lautner-Csorba1, András Gézsi1, Ágnes F Semsei1, Péter Antal2, Dániel J Erdélyi3, Géza Schermann1, Nóra Kutszegi1, Katalin Csordás3, Márta Hegyi3, Gábor Kovács3, András Falus1 and Csaba Szalai145*

Author Affiliations

1 Department of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Nagyvárad tér 4, H-1089, Hungary

2 Department of Measurement and Information Systems, University of Technology and Economics, Budapest, Hungary

3 2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary

4 Heim Pal Children Hospital, Budapest, Hungary

5 Csertex Research Laboratory, Budapest, Hungary

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BMC Medical Genomics 2012, 5:42  doi:10.1186/1755-8794-5-42

Published: 28 September 2012

Additional files

Additional file 1:

Minor allele and genotype frequencies (%) in pediatric ALL (n =543) and control (n = 529) patients.

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Additional file 2:

Results of the statistical analysis of all genotyping data.

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Additional file 3:

Linkage disequilibrium between some SNP pairs.

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Additional file 4:

Haplotypes in the IKZF1 gene, which significantly influenced the risk of ALL.

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Additional file 5:

Survival rates in the different genotype groups according to rs11667351 in the BAX gene.

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Additional file 6:

Results of the statistical evaluations of the influence of some SNPs on the overall survival time.

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Additional file 7:

The a posteriori probabilities of the different association types in ALL susceptibility.

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Additional file 8:

The a posteriori probabilities of the different association types in event-free and overall survival.

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