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Genetic epidemiology of glioma

Genetic epidemiology of glioma
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 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 chi(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.
familial, glioma, astrocytoma, segregation analyses, hereditary, autosomal recessive
0007-0920
429-434
Malmer, B.
0d98a470-26e4-4298-940b-ae17d0021bc9
Iselius, L.
2804ea92-73fb-4a6d-9631-b656e29c7ed5
Holmberg, E.
2fcf863e-171d-49c2-a721-d16c9912119b
Collins, A.
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Henriksson, R.
191f9bf2-f488-47c1-a580-7c3df81dd911
Grönberg, H.
a339716d-d866-4547-95f4-f240f1be138b
Malmer, B.
0d98a470-26e4-4298-940b-ae17d0021bc9
Iselius, L.
2804ea92-73fb-4a6d-9631-b656e29c7ed5
Holmberg, E.
2fcf863e-171d-49c2-a721-d16c9912119b
Collins, A.
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Henriksson, R.
191f9bf2-f488-47c1-a580-7c3df81dd911
Grönberg, H.
a339716d-d866-4547-95f4-f240f1be138b

Malmer, B., Iselius, L., Holmberg, E., Collins, A., Henriksson, R. and Grönberg, H. (2001) Genetic epidemiology of glioma. British Journal of Cancer, 84 (3), 429-434. (doi:10.1054/bjoc.2000.1612).

Record type: Article

Abstract

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 chi(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.

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Published date: 30 January 2001
Keywords: familial, glioma, astrocytoma, segregation analyses, hereditary, autosomal recessive

Identifiers

Local EPrints ID: 60014
URI: http://eprints.soton.ac.uk/id/eprint/60014
ISSN: 0007-0920
PURE UUID: fb4ef31a-ac0c-4efa-88d0-ec581323547a
ORCID for A. Collins: ORCID iD orcid.org/0000-0001-7108-0771

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Date deposited: 03 Sep 2008
Last modified: 16 Mar 2024 02:42

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Contributors

Author: B. Malmer
Author: L. Iselius
Author: E. Holmberg
Author: A. Collins ORCID iD
Author: R. Henriksson
Author: H. Grönberg

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