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A comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma

BACKGROUND: Osteosarcoma (OS) is a bone malignancy which occurs primarily in adolescents. Since it occurs during a period of rapid growth, genes important in bone formation and growth are plausible modifiers of risk. Genes involved in DNA repair and ribosomal function may contribute to OS pathogenes...

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Autores principales: Mirabello, Lisa, Yu, Kai, Berndt, Sonja I, Burdett, Laurie, Wang, Zhaoming, Chowdhury, Salma, Teshome, Kedest, Uzoka, Arinze, Hutchinson, Amy, Grotmol, Tom, Douglass, Chester, Hayes, Richard B, Hoover, Robert N, Savage, Sharon A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3138419/
https://www.ncbi.nlm.nih.gov/pubmed/21619704
http://dx.doi.org/10.1186/1471-2407-11-209
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author Mirabello, Lisa
Yu, Kai
Berndt, Sonja I
Burdett, Laurie
Wang, Zhaoming
Chowdhury, Salma
Teshome, Kedest
Uzoka, Arinze
Hutchinson, Amy
Grotmol, Tom
Douglass, Chester
Hayes, Richard B
Hoover, Robert N
Savage, Sharon A
author_facet Mirabello, Lisa
Yu, Kai
Berndt, Sonja I
Burdett, Laurie
Wang, Zhaoming
Chowdhury, Salma
Teshome, Kedest
Uzoka, Arinze
Hutchinson, Amy
Grotmol, Tom
Douglass, Chester
Hayes, Richard B
Hoover, Robert N
Savage, Sharon A
author_sort Mirabello, Lisa
collection PubMed
description BACKGROUND: Osteosarcoma (OS) is a bone malignancy which occurs primarily in adolescents. Since it occurs during a period of rapid growth, genes important in bone formation and growth are plausible modifiers of risk. Genes involved in DNA repair and ribosomal function may contribute to OS pathogenesis, because they maintain the integrity of critical cellular processes. We evaluated these hypotheses in an OS association study of genes from growth/hormone, bone formation, DNA repair, and ribosomal pathways. METHODS: We evaluated 4836 tag-SNPs across 255 candidate genes in 96 OS cases and 1426 controls. Logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CI). RESULTS: Twelve SNPs in growth or DNA repair genes were significantly associated with OS after Bonferroni correction. Four SNPs in the DNA repair gene FANCM (ORs 1.9-2.0, P = 0.003-0.004) and 2 SNPs downstream of the growth hormone gene GH1 (OR 1.6, P = 0.002; OR 0.5, P = 0.0009) were significantly associated with OS. One SNP in the region of each of the following genes was significant: MDM2, MPG, FGF2, FGFR3, GNRH2, and IGF1. CONCLUSIONS: Our results suggest that several SNPs in biologically plausible pathways are associated with OS. Larger studies are required to confirm our findings.
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spelling pubmed-31384192011-07-19 A comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma Mirabello, Lisa Yu, Kai Berndt, Sonja I Burdett, Laurie Wang, Zhaoming Chowdhury, Salma Teshome, Kedest Uzoka, Arinze Hutchinson, Amy Grotmol, Tom Douglass, Chester Hayes, Richard B Hoover, Robert N Savage, Sharon A BMC Cancer Research Article BACKGROUND: Osteosarcoma (OS) is a bone malignancy which occurs primarily in adolescents. Since it occurs during a period of rapid growth, genes important in bone formation and growth are plausible modifiers of risk. Genes involved in DNA repair and ribosomal function may contribute to OS pathogenesis, because they maintain the integrity of critical cellular processes. We evaluated these hypotheses in an OS association study of genes from growth/hormone, bone formation, DNA repair, and ribosomal pathways. METHODS: We evaluated 4836 tag-SNPs across 255 candidate genes in 96 OS cases and 1426 controls. Logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CI). RESULTS: Twelve SNPs in growth or DNA repair genes were significantly associated with OS after Bonferroni correction. Four SNPs in the DNA repair gene FANCM (ORs 1.9-2.0, P = 0.003-0.004) and 2 SNPs downstream of the growth hormone gene GH1 (OR 1.6, P = 0.002; OR 0.5, P = 0.0009) were significantly associated with OS. One SNP in the region of each of the following genes was significant: MDM2, MPG, FGF2, FGFR3, GNRH2, and IGF1. CONCLUSIONS: Our results suggest that several SNPs in biologically plausible pathways are associated with OS. Larger studies are required to confirm our findings. BioMed Central 2011-05-29 /pmc/articles/PMC3138419/ /pubmed/21619704 http://dx.doi.org/10.1186/1471-2407-11-209 Text en Copyright ©2011 Mirabello et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mirabello, Lisa
Yu, Kai
Berndt, Sonja I
Burdett, Laurie
Wang, Zhaoming
Chowdhury, Salma
Teshome, Kedest
Uzoka, Arinze
Hutchinson, Amy
Grotmol, Tom
Douglass, Chester
Hayes, Richard B
Hoover, Robert N
Savage, Sharon A
A comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma
title A comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma
title_full A comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma
title_fullStr A comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma
title_full_unstemmed A comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma
title_short A comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma
title_sort comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3138419/
https://www.ncbi.nlm.nih.gov/pubmed/21619704
http://dx.doi.org/10.1186/1471-2407-11-209
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