A Genome wide linkage search for breast cancer susceptibility genes
Smith, Paula , McGuffog, Lesley, Easton, Douglas F. , Mann, Graham J., Pupo, Gulietta M., Newman, Beth M., Chenevix-Trench, Georgia, Szabo, Csilla, Southey, Melissa , Renard, Helene, Odefrey, Fabrice, Lynch, Henry, Stoppa-Lyonnet, Dominique, Couch, Fergus, Hopper, John L. , Giles, Graham G. , McCredie, Margaret R. E. , Buys, Saundra, Andrulis, Irene, Senie, Ruby, Goldgar, David E., Oldenburg, Rogier, Kroeze-Jansema, Karin, Kraan, Jaennelle, Meijers-Heijboer, Hanne, Klijn, Jan G. M., van Asperen, Christi, van Leeuwen, Inge, Vasen, Hans F. A., Cornelisse, Cees J., Devilee, Peter, Baskcomb, Linda, Seal, Sheila, Barfoot, Rita, Mangion, Jon, Hall, Anita, Edkins, Sarah, Rapley, Elizabeth, Wooster, Richard, Chang-Claude, Jenny, Eccles, Diana, Evans, D. Gareth, Futreal, P. Andrew, Nathanson, Katherine L., Weber, Barbara L., Rahman, Nazneen, & Stratton, Michael R. (2006) A Genome wide linkage search for breast cancer susceptibility genes. Genes, Chromosomes and Cancer, 45(7), pp. 646-655.
Mutations in known breast cancer susceptibility genes account for a minority of the familial aggregation of the disease. To search for further breast cancer susceptibility genes, we performed a combined analysis of four genome-wide linkage screens, which included a total of 149 multiple case breast cancer families. All families included at least three cases of breast cancer diagnosed below age 60 years, at least one of whom had been tested and found not to carry a BRCA1 or BRCA2 mutation. Evidence for linkage was assessed using parametric linkage analysis, assuming both a dominant and a recessive mode of inheritance, and using nonparametric methods. The highest LOD score obtained in any analysis of the combined data was 1.80 under the dominant model, in a region on chromosome 4 close to marker D4S392. Three further LOD scores over 1 were identified in the parametric analyses and two in the nonparametric analyses. A maximum LOD score of 2.40 was found on chromosome arm 2p in families with four or more cases of breast cancer diagnosed below age 50 years. The number of linkage peaks did not differ from the number expected by chance. These results suggest regions that may harbor novel breast cancer susceptibility genes. They also indicate that no single gene is likely to account for a large fraction of the familial aggregation of breast cancer that is not due to mutations in BRCA1 or BRCA2.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Additional Information:||For more information, please refer to the journal's website (see hypertext link) or contact the author.|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > PURE MATHEMATICS (010100) > Mathematical Logic Set Theory Lattices and Universal Algebra (010107)|
|Divisions:||Current > Research Centres > Centre for Health Research|
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2006 John Wiley & Sons|
|Deposited On:||09 Nov 2007|
|Last Modified:||29 Feb 2012 23:30|
Repository Staff Only: item control page