Genetic epidemiology of ovarian cancer: segregation analysis
Genetic epidemiology of ovarian cancer: segregation analysis
The genetic epidemiology of ovarian cancer has been investigated by complex segregation analysis of 462 pedigrees ascertained through a normal consultand. The observed pattern of ovarian cancer is compatible with an autosomal dominant gene. The gene frequency of the abnormal allele is 0.0015-0.0026 with a lifetime penetrance of 0.74-0.79. The gene frequency accounts for a significant proportion of ovarian cancer in young women. By age 70 the majority of affected women are phenocopies. The results from this analysis should enable the risks of ovarian cancer to be more accurately estimated than by empiric methods for relatives of affected women, and can maximize the usefulness of screening programmes and future linkage studies.
291-299
Houlston, RS
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Collins, A
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Slack, J
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Campbell, S
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Collins, WP
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Whitehead, MI
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Morton, NE
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October 1991
Houlston, RS
513f47bc-c527-47d5-847d-20482ab5d583
Collins, A
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Slack, J
ecb80405-9ad4-46b2-b2a8-813a82dc2981
Campbell, S
5e15ce08-4817-4878-8c1d-c6267ed29ed5
Collins, WP
f28220f8-52b9-4ceb-84f5-5fa805a99e05
Whitehead, MI
7ac05d23-4491-4f6c-903e-92cc047c706c
Morton, NE
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
Houlston, RS, Collins, A, Slack, J, Campbell, S, Collins, WP, Whitehead, MI and Morton, NE
(1991)
Genetic epidemiology of ovarian cancer: segregation analysis.
Annals of Human Genetics, 55 (4), .
(doi:10.1111/j.1469-1809.1991.tb00856.x).
Abstract
The genetic epidemiology of ovarian cancer has been investigated by complex segregation analysis of 462 pedigrees ascertained through a normal consultand. The observed pattern of ovarian cancer is compatible with an autosomal dominant gene. The gene frequency of the abnormal allele is 0.0015-0.0026 with a lifetime penetrance of 0.74-0.79. The gene frequency accounts for a significant proportion of ovarian cancer in young women. By age 70 the majority of affected women are phenocopies. The results from this analysis should enable the risks of ovarian cancer to be more accurately estimated than by empiric methods for relatives of affected women, and can maximize the usefulness of screening programmes and future linkage studies.
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Published date: October 1991
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Local EPrints ID: 469631
URI: http://eprints.soton.ac.uk/id/eprint/469631
ISSN: 0003-4800
PURE UUID: 524a37f7-2df4-4201-a4b8-1f0dc6eec2d8
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Date deposited: 21 Sep 2022 16:53
Last modified: 17 Mar 2024 02:37
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Author:
RS Houlston
Author:
J Slack
Author:
S Campbell
Author:
WP Collins
Author:
MI Whitehead
Author:
NE Morton
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