Literature DB >> 1639245

An analytical method for assessing patterns of familial aggregation in case-control studies.

L P Zhao1, L Le Marchand.   

Abstract

This paper describes an analytical method that is used to assess patterns of disease aggregation within family based on family history information collected in case-control studies. In such a study, cases and controls are thought of as probands whose relatives are identified, and relatives' phenotypes and other covariates such as age, sex, and genealogical relationship with the probands are recorded. By modeling the dependence of relatives' phenotypes on case-control status and other covariates, this method yields adjusted odds ratios that quantify familial aggregation. The estimated standard errors are obtained for statistical inference since the method acknowledges the potential correlations between relatives' phenotypes by using the estimating equations technique. In population-based case-control studies, the estimates and statistical inferences are generalizable to the general population. To illustrate this method, we analyzed a case-control study of colorectal cancer involving 5,190 relatives of 792 cases and 4,478 relatives of 680 population-based controls conducted in Hawaii. Although detailed results will be presented elsewhere, the colorectal cancer was found to aggregate within family with an odds ratio of 2.74 (95% confidence interval (CI): 1.78-4.21). Among parents, the odds ratio for familial aggregation was 2.38 (95% CI: 1.25-4.54). The corresponding value for siblings was 3.09 (95% CI: 1.87-5.11). It was also found that the odds ratio increases from about 2.00 for relatives of the probands who were 50 years or older to 7.66 and 12.84 for relatives of the probands who were between 40 and 50 years and under 40 years, respectively, suggesting that the familial aggregation of colorectal cancer decreases as probands' age increases.

Entities:  

Mesh:

Year:  1992        PMID: 1639245     DOI: 10.1002/gepi.1370090206

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  7 in total

1.  Assessing familial aggregation of age at onset, by using estimating equations, with application to breast cancer.

Authors:  L Hsu; L P Zhao
Journal:  Am J Hum Genet       Date:  1996-05       Impact factor: 11.025

2.  A parametric copula model for analysis of familial binary data.

Authors:  D A Trégou t; P Ducimetière; V Bocquet; S Visvikis; F Soubrier; L Tiret
Journal:  Am J Hum Genet       Date:  1999-03       Impact factor: 11.025

3.  Recursive organizer (ROR): an analytic framework for sequence-based association analysis.

Authors:  Lue Ping Zhao; Xin Huang
Journal:  Hum Genet       Date:  2013-03-14       Impact factor: 4.132

4.  The detection of K-ras mutations in colorectal cancer using the amplification-refractory mutation system.

Authors:  J C Fox; J England; P White; G Ellison; K Callaghan; N R Charlesworth; J Hehir; T L McCarthy; J Smith-Ravin; I C Talbot; D Snary; J M Northover; C R Newton; S Little
Journal:  Br J Cancer       Date:  1998-04       Impact factor: 7.640

5.  Gene Environment Interactions and Predictors of Colorectal Cancer in Family-Based, Multi-Ethnic Groups.

Authors:  S Pamela K Shiao; James Grayson; Chong Ho Yu; Brandi Wasek; Teodoro Bottiglieri
Journal:  J Pers Med       Date:  2018-02-16

6.  Personalized Nutrition-Genes, Diet, and Related Interactive Parameters as Predictors of Cancer in Multiethnic Colorectal Cancer Families.

Authors:  S Pamela K Shiao; James Grayson; Amanda Lie; Chong Ho Yu
Journal:  Nutrients       Date:  2018-06-20       Impact factor: 5.717

7.  Familial aggregation of lung cancer in a high incidence area in China.

Authors:  Y T Jin; Y C Xu; R D Yang; C F Huang; C W Xu; X Z He
Journal:  Br J Cancer       Date:  2005-04-11       Impact factor: 7.640

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.