AN ANALYTICAL METHOD FOR ASSESSING PATTERNS OF FAMILIAL AGGREGATION IN CASE-CONTROL STUDIES

被引:33
作者
ZHAO, LP [1 ]
LEMARCHAND, L [1 ]
机构
[1] UNIV HAWAII, SCH PUBL HLTH, BIOSTAT PROGRAM, HONOLULU, HI 96822 USA
关键词
CASE-CONTROL STUDIES; GENETIC EPIDEMIOLOGY; REGRESSION ANALYSIS; RISK; STATISTICS;
D O I
10.1002/gepi.1370090206
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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.
引用
收藏
页码:141 / 154
页数:14
相关论文
共 50 条
  • [21] Methodology Series Module 2: Case-control Studies
    Setia, Maninder Singh
    INDIAN JOURNAL OF DERMATOLOGY, 2016, 61 (02) : 146 - 151
  • [22] A method for meta-analysis of case-control genetic association studies using logistic regression
    Bagos, Pantelis G.
    Nikolopoulos, Georgios K.
    STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 2007, 6
  • [23] Assessing Incremental Value of Biomarkers with Multi-Phase Nested Case-Control Studies
    Zhou, Qian M.
    Zheng, Yingye
    Chibnik, Lori B.
    Karlson, Elizabeth W.
    Cai, Tianxi
    BIOMETRICS, 2015, 71 (04) : 1139 - 1149
  • [24] Factors influencing the optimal control-to-case ratio in matched case-control studies
    Hennessy, S
    Bilker, WB
    Berlin, JA
    Strom, BL
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 1999, 149 (02) : 195 - 197
  • [25] Assessing risk prediction models in case-control studies using semiparametric and nonparametric methods
    Huang, Ying
    Pepe, Margaret Sullivan
    STATISTICS IN MEDICINE, 2010, 29 (13) : 1391 - 1410
  • [26] Transmission disequilibrium test (TDT) for case-control studies
    Ruiz-Narváez, EA
    Campos, H
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2004, 12 (02) : 105 - 114
  • [27] CHOICE OF CONTROLS IN CASE-CONTROL STUDIES
    PERILLO, MG
    JOURNAL OF MANIPULATIVE AND PHYSIOLOGICAL THERAPEUTICS, 1993, 16 (09) : 578 - 585
  • [28] Mammographic screening: case-control studies
    Walter, SD
    ANNALS OF ONCOLOGY, 2003, 14 (08) : 1190 - 1192
  • [29] Reporting participation in case-control studies
    Olson, SH
    Voigt, LF
    Begg, CB
    Weiss, NS
    EPIDEMIOLOGY, 2002, 13 (02) : 123 - 126
  • [30] Heritability estimation in case-control studies
    Bonnet, Anna
    ELECTRONIC JOURNAL OF STATISTICS, 2018, 12 (01): : 1662 - 1716