๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Polygenic inheritance of breast cancer: Implications for design of association studies

โœ 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

No coin nor oath required. For personal study only.

โœฆ 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 caseโ€control 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 firstโ€degree relative were selected, and by more than fourfold if cases with two affected firstโ€degree 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 (firstโ€degree) family history. Bilateral cases may offer a similar gain in power to cases with two affected firstโ€degree relatives. In contrast to the strong effect of family history, varying the ages at diagnosis of the cases across the range of 35โ€“65 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 populationโ€based studies. Genet Epidemiol 25: 190โ€“202, 2003. ยฉ 2003 Wileyโ€Liss, Inc.


๐Ÿ“œ SIMILAR VOLUMES


Genetic analysis of human breast cancer:
โœ Nadine Andrieu; Dr. Florence Demenais; Maria Martinez; D. C. Rao ๐Ÿ“‚ Article ๐Ÿ“… 1988 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 640 KB

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

Evaluation of polygenic risk scores for
โœ Mitchell J. Machiela; Chia-Yen Chen; Constance Chen; Stephen J. Chanock; David J ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 134 KB ๐Ÿ‘ 1 views

Recently, polygenic risk scores (PRS) have been shown to be associated with certain complex diseases. The approach has been based on the contribution of counting multiple alleles associated with disease across independent loci, without requiring compelling evidence that every locus had already achie

Multiple primary cancers of the colon, b
โœ Chuanhui Dong; Kari Hemminki ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› John Wiley and Sons ๐ŸŒ French โš– 79 KB

To assess the role of family history in the development of multiple primary cancer, the Swedish Family-Cancer Database was used to analyze second primary cancer in patients born in 1935 to 1996 with an initial primary cancer of the colon, breast and skin (melanoma) by familial cancer in first-degree