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Genetic epidemiology of early onset breast cancer

Genetic epidemiology of early onset breast cancer
Genetic epidemiology of early onset breast cancer
Risks for breast cancer when there is a family history of the disease are usually calculated using data from segregation analyses which favour a single dominant gene with high penetrance. There are, however, at least three loci known to be associated with familial breast cancer (p53, BRCA1, and an as yet unpublished locus) and the frequencies and penetrances of these genes are not likely to be the same. We have attempted to address the problem of which genetic parameters should be used to calculate risks for different patterns of familial breast cancer. Data from 384 nuclear families ascertained through a proband selected for early onset breast cancer were subjected to complex segregation analysis, correcting for ascertainment bias resulting from selection for severe phenotype. Age of onset of breast cancer, incorporated as severity, provides additional information to the segregation model over and above that given by assigning liability classes on the basis of age at observation. The use of this additional parameter in the analysis is described. There is fair agreement between estimates from this sample and previous predictions from consecutive probands and consultands. The differences suggest more than one rare dominant gene for susceptibility to breast cancer, with different penetrances. Although refinements of segregation analysis will help to delineate these different genes, perfect resolution will require identification of the mutant alleles. Methods to estimate genetic parameters under genotype specific mortality need to be developed. Meanwhile, we suggest that high and low estimates of penetrance be used in risk estimation for genetic counselling, and as a guide to candidates for entry into clinical trials of screening and chemoprevention in breast cancer
0022-2593
944-949
ECCLES, D
5b59bc73-11c9-4cf0-a9d5-7a8e523eee23
MARLOW, A
8a38f45b-d3bd-4629-8086-197e54363b52
ROYLE, G
1fdbdd22-5cfe-4b4b-815a-12a229debe36
COLLINS, A
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
MORTON, NE
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
ECCLES, D
5b59bc73-11c9-4cf0-a9d5-7a8e523eee23
MARLOW, A
8a38f45b-d3bd-4629-8086-197e54363b52
ROYLE, G
1fdbdd22-5cfe-4b4b-815a-12a229debe36
COLLINS, A
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
MORTON, NE
c668e2be-074a-4a0a-a2ca-e8f51830ebb7

ECCLES, D, MARLOW, A, ROYLE, G, COLLINS, A and MORTON, NE (1994) Genetic epidemiology of early onset breast cancer. Journal of Medical Genetics, 31 (12), 944-949. (doi:10.1136/jmg.31.12.944).

Record type: Article

Abstract

Risks for breast cancer when there is a family history of the disease are usually calculated using data from segregation analyses which favour a single dominant gene with high penetrance. There are, however, at least three loci known to be associated with familial breast cancer (p53, BRCA1, and an as yet unpublished locus) and the frequencies and penetrances of these genes are not likely to be the same. We have attempted to address the problem of which genetic parameters should be used to calculate risks for different patterns of familial breast cancer. Data from 384 nuclear families ascertained through a proband selected for early onset breast cancer were subjected to complex segregation analysis, correcting for ascertainment bias resulting from selection for severe phenotype. Age of onset of breast cancer, incorporated as severity, provides additional information to the segregation model over and above that given by assigning liability classes on the basis of age at observation. The use of this additional parameter in the analysis is described. There is fair agreement between estimates from this sample and previous predictions from consecutive probands and consultands. The differences suggest more than one rare dominant gene for susceptibility to breast cancer, with different penetrances. Although refinements of segregation analysis will help to delineate these different genes, perfect resolution will require identification of the mutant alleles. Methods to estimate genetic parameters under genotype specific mortality need to be developed. Meanwhile, we suggest that high and low estimates of penetrance be used in risk estimation for genetic counselling, and as a guide to candidates for entry into clinical trials of screening and chemoprevention in breast cancer

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Published date: 1 December 1994

Identifiers

Local EPrints ID: 470608
URI: http://eprints.soton.ac.uk/id/eprint/470608
ISSN: 0022-2593
PURE UUID: 408a8fce-5033-4140-a4a8-69b34ab3fb85
ORCID for D ECCLES: ORCID iD orcid.org/0000-0002-9935-3169
ORCID for A COLLINS: ORCID iD orcid.org/0000-0001-7108-0771

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Date deposited: 14 Oct 2022 16:37
Last modified: 17 Mar 2024 02:37

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Contributors

Author: D ECCLES ORCID iD
Author: A MARLOW
Author: G ROYLE
Author: A COLLINS ORCID iD
Author: NE MORTON

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