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Genetic epidemiology of glioma

The present study performed a segregation analysis of a cohort of first-degree relatives (FDR) of glioma patients. The families with two or more gliomas were also expanded to determine if any more gliomas could be detected, and if any other types of cancers were associated. These glioma-prone famili...

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Autores principales: Malmer, B, Iselius, L, Holmberg, E, Collins, A, Henriksson, R, Grönberg, H
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2001
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2363745/
https://www.ncbi.nlm.nih.gov/pubmed/11161412
http://dx.doi.org/10.1054/bjoc.2000.1612
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author Malmer, B
Iselius, L
Holmberg, E
Collins, A
Henriksson, R
Grönberg, H
author_facet Malmer, B
Iselius, L
Holmberg, E
Collins, A
Henriksson, R
Grönberg, H
author_sort Malmer, B
collection PubMed
description The present study performed a segregation analysis of a cohort of first-degree relatives (FDR) of glioma patients. The families with two or more gliomas were also expanded to determine if any more gliomas could be detected, and if any other types of cancers were associated. These glioma-prone families (n = 24/432) were extended to include first-, second- and third-degree relatives (n = 807) and a cohort was assembled, the standardized incidence risk for other types of cancer calculated and the pedigrees investigated for a possible mode of inheritance. A segregation analysis of the 2141 FDR in 297 families, performed using the Pointer software, did not clearly reject a multifactorial model χ(2) (3) = 6.13,P< 0.2. However, when letting all parameters be free, the recessive model provided the best fit. In the extended families, no increased risk of other types of cancer was found. This population-based study proposes that familial glioma occurs in about 5% of all glioma cases and that 1% have a possible autosomal dominant inheritance. This first segregation analysis performed in familial glioma must be cautiously interpreted, but an autosomal recessive gene provided the best fit, which could possibly explain 2% of all glioma cases. © 2001 Cancer Research Campaign http://www.bjcancer.com
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spelling pubmed-23637452009-09-10 Genetic epidemiology of glioma Malmer, B Iselius, L Holmberg, E Collins, A Henriksson, R Grönberg, H Br J Cancer Regular Article The present study performed a segregation analysis of a cohort of first-degree relatives (FDR) of glioma patients. The families with two or more gliomas were also expanded to determine if any more gliomas could be detected, and if any other types of cancers were associated. These glioma-prone families (n = 24/432) were extended to include first-, second- and third-degree relatives (n = 807) and a cohort was assembled, the standardized incidence risk for other types of cancer calculated and the pedigrees investigated for a possible mode of inheritance. A segregation analysis of the 2141 FDR in 297 families, performed using the Pointer software, did not clearly reject a multifactorial model χ(2) (3) = 6.13,P< 0.2. However, when letting all parameters be free, the recessive model provided the best fit. In the extended families, no increased risk of other types of cancer was found. This population-based study proposes that familial glioma occurs in about 5% of all glioma cases and that 1% have a possible autosomal dominant inheritance. This first segregation analysis performed in familial glioma must be cautiously interpreted, but an autosomal recessive gene provided the best fit, which could possibly explain 2% of all glioma cases. © 2001 Cancer Research Campaign http://www.bjcancer.com Nature Publishing Group 2001-02 /pmc/articles/PMC2363745/ /pubmed/11161412 http://dx.doi.org/10.1054/bjoc.2000.1612 Text en Copyright © 2001 Cancer Research Campaign https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Regular Article
Malmer, B
Iselius, L
Holmberg, E
Collins, A
Henriksson, R
Grönberg, H
Genetic epidemiology of glioma
title Genetic epidemiology of glioma
title_full Genetic epidemiology of glioma
title_fullStr Genetic epidemiology of glioma
title_full_unstemmed Genetic epidemiology of glioma
title_short Genetic epidemiology of glioma
title_sort genetic epidemiology of glioma
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2363745/
https://www.ncbi.nlm.nih.gov/pubmed/11161412
http://dx.doi.org/10.1054/bjoc.2000.1612
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