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Gamma-aminolevulinic acid dehydratase polymorphism and risk of brain tumors in adults.

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Title: Gamma-aminolevulinic acid dehydratase polymorphism and risk of brain tumors in adults.
Authors: Rajaraman P (AUTHOR), Schwartz BS (AUTHOR), Rothman N (AUTHOR), Yeager M (AUTHOR), Fine HA (AUTHOR), Shapiro WR (AUTHOR), Selker RG (AUTHOR), Black PM (AUTHOR), Inskip PD (AUTHOR)
Source: Environmental Health Perspectives. Sep2005, Vol. 113 Issue 9, p1209-1211. 3p.
Abstract: The enzyme delta-aminolevulinic acid dehydratase (ALAD) , which catalyzes the second step of heme synthesis, can be inhibited by several chemicals, including lead, a potential risk factor for brain tumors, particularly meningioma. In this study we examined whether the ALAD G177C polymorphism in the gene coding for ALAD is associated with risk of intracranial tumors of the brain and nervous system. We use data from a case-control study with 782 incident brain tumor cases and 799 controls frequency matched on hospital, age, sex, race/ethnicity, and residential proximity to the hospital. Blood samples were drawn and DNA subsequently sent for genotyping for 73% of subjects. ALAD genotype was determined for 94% of these samples (355 glioma, 151 meningioma, 67 acoustic neuroma, and 505 controls) . Having one or more copy of the ALAD2 allele was associated with increased risk for meningioma [odds ratio (OR) = 1.6 ; 95% confidence interval (CI) , 1.0-2.6], with the association appearing stronger in males (OR = 3.5 ; 95% CI, 1.3-9.2) than in females (OR = 1.2 ; 95% CI, 0.7-2.2) . No increased risk associated with the ALAD2 variant was observed for glioma or acoustic neuroma. These findings suggest that the ALAD2 allele may increase genetic susceptibility to meningioma. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
URL: 18103554
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  Data: Gamma-aminolevulinic acid dehydratase polymorphism and risk of brain tumors in adults.
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. Sep2005, Vol. 113 Issue 9, p1209-1211. 3p.
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  Data: The enzyme delta-aminolevulinic acid dehydratase (ALAD) , which catalyzes the second step of heme synthesis, can be inhibited by several chemicals, including lead, a potential risk factor for brain tumors, particularly meningioma. In this study we examined whether the ALAD G177C polymorphism in the gene coding for ALAD is associated with risk of intracranial tumors of the brain and nervous system. We use data from a case-control study with 782 incident brain tumor cases and 799 controls frequency matched on hospital, age, sex, race/ethnicity, and residential proximity to the hospital. Blood samples were drawn and DNA subsequently sent for genotyping for 73% of subjects. ALAD genotype was determined for 94% of these samples (355 glioma, 151 meningioma, 67 acoustic neuroma, and 505 controls) . Having one or more copy of the ALAD2 allele was associated with increased risk for meningioma [odds ratio (OR) = 1.6 ; 95% confidence interval (CI) , 1.0-2.6], with the association appearing stronger in males (OR = 3.5 ; 95% CI, 1.3-9.2) than in females (OR = 1.2 ; 95% CI, 0.7-2.2) . No increased risk associated with the ALAD2 variant was observed for glioma or acoustic neuroma. These findings suggest that the ALAD2 allele may increase genetic susceptibility to meningioma. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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