Genetic analysis of human breast cancer, as with many common diseases, raises several problems including sampling strategies, genetic heterogeneity, and geneenvironment interactions. A reanalysis of 200 Danish breast cancer pedigrees, under the unified mixed model, was conducted to investigate more
Polygenic inheritance of breast cancer: Implications for design of association studies
โ Scribed by Antonis C. Antoniou; Douglas F. Easton
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 271 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0741-0395
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โฆ Synopsis
Abstract
Susceptibility to breast cancer is likely to be the result of susceptibility alleles in many different genes. In particular, one segregation analysis of breast cancer suggested that disease susceptibility in noncarriers of BRCA1/2 mutations may be explicable in terms of a polygenic model, with large numbers of susceptibility polymorphisms acting multiplicatively on risk. We considered the implications for such a model on the design of association studies to detect susceptibility polymorphisms, in particular the efficacy of utilizing cases with a family history of the disease, together with unrelated controls. Relative to a standard caseโcontrol association study with cases unselected for family history, the sample size required to detect a common disease susceptibility allele was typically reduced by more than twofold if cases with an affected firstโdegree relative were selected, and by more than fourfold if cases with two affected firstโdegree relatives were utilized. The relative efficiency obtained by using familial cases was greater for rarer alleles. Analysis of extended families indicated that the power was most dependent on the immediate (firstโdegree) family history. Bilateral cases may offer a similar gain in power to cases with two affected firstโdegree relatives. In contrast to the strong effect of family history, varying the ages at diagnosis of the cases across the range of 35โ65 years did not strongly affect the power to detect association. These results indicate that association studies based on cases with a strong family history, identified for example through cancer genetics clinics, may be substantially more efficient than populationโbased studies. Genet Epidemiol 25: 190โ202, 2003. ยฉ 2003 WileyโLiss, Inc.
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