Family pedigrees of Oklahoma Indian women with a history of breast cancer were developed with special reference to age at onset, cancer pathology (if known), age of death, cause of death, and blood quantum as recorded by the Bureau of Indian Affairs (BIA) Certificate of Degree of Indian Blood (CDIB)
Genetic epidemiology of breast cancer: Segregation analysis of 389 Icelandic pedigrees
✍ Scribed by Agnes B. Baffoe-Bonnie; Terri H. Beaty; Joan E. Bailey-Wilson; Lambertus A.L.M. Kiemeney; Helgi Sigvaldason; Gud̄rid̄ur Ólafsdóttir; Laufey Tryggvadóttir; Hrafn Tulinius
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 96 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
✦ Synopsis
A genetic epidemiologic investigation of breast cancer involving 389 breast cancer pedigrees including information on 14,721 individuals from the Icelandic population-based cancer registry is presented. Probands were women born in or after 1920 and reported to have breast cancer in the cancer registry. The average age of the 389 probands was 45.5 years (SD 8.92). Segregation analyses was performed evaluating residual maternal effects, a dichotomous cohort effect, and assuming the age at diagnosis followed a logistic distribution after log-transformation. Familial aggregation could be best explained by the inheritance of a high-risk allele leading to early onset breast cancer among the homozygotes, which represent approximately 2.6% of the population. A Mendelian codominant model was selected as the best fitting model, with an estimated age at diagnosis of 51.8 years among these high-risk homozygotes, 64.0 years for heterozygotes and 76.3 years for the low-risk genotype.
📜 SIMILAR VOLUMES
Systematic errors, or bias, can arise at several stages of a study, including selection of subjects, measurement of exposure and disease, and data analysis. Little attention appears to have been paid to potential sources of bias in genetic epidemiologic studies, despite the fact that the study of un
Although many segregation analyses of breast cancer have been published, few have included risk factor covariates. Maximum likelihood segregation analyses examining age-at-onset (model 1) and susceptibility (model 2) models of breast cancer were performed on 426 four-generation families originally a