Design considerations for association studies of candidate genes in families

Genetic Epidemiology

Volumn 20, Issue 2, 2001, Pages 149-174

  Bull, S B ^a,b   Darlington, G A ^b,c   Greenwood, C M T ^d   Shin, J ^a  

^a MOUNT SINAI HOSPITAL   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d MONTREAL GENERAL HOSPITAL   (Canada)

Author keywords

Clustered data; Cohort studies; Correlated data; Design effect; Estimating equations; Familial correlation; Generalized linear models; Genetic epidemiology; Sample size

Indexed keywords

ARTICLE; CLUSTER ANALYSIS; COHORT ANALYSIS; ENVIRONMENTAL EXPOSURE; FAMILY; GENETIC EPIDEMIOLOGY; SAMPLE; SIBLING; STATISTICAL MODEL;

ADOLESCENT; ADULT; COMPUTER SIMULATION; EPIDEMIOLOGIC STUDIES; FAMILY; FEMALE; GENETICS, MEDICAL; GENETICS, POPULATION; HUMANS; MALE; MIDDLE AGED; PHENOTYPE; RESEARCH DESIGN; SAMPLING STUDIES; STATISTICS;

EID: 0035138341     PISSN: 07410395     EISSN: None     Source Type: Journal    
DOI: 10.1002/1098-2272(200102)20:2<149::AID-GEPI1>3.0.CO;2-A     Document Type: Article

References (39)

1. Genetic analysis of a common oligogenic trait with quantitative correlates: Summary of GAW9 results
2. Evaluation of genetic and environmental effects using GEE and APM methods
3. Linear regression analysis with repeated measurements
4. A comparison of statistical methods for clustered data analysis with Gaussian error
5. A caveat concerning independence estimating equations with multivariate binary data
6. Designing studies to estimate the penetrance of an identified autosomal dominant mutation: Cohort, case-control, and genotyped-proband designs
7. Assessing familial aggregation of age at onset, by using estimating equations, with application to breast cancer
8. Measuring familial aggregation using odds ratio regression models
9. Longitudinal data analysis using generalized linear models
10. Jackknife estimators of variance for parameter estimates from estimating equations with applications to clustered survival data
11. Simulation of a common oligogenic disease with quantitative risk factors. GAW9 problem 2: The answers
12. Estimation efficiency and tests of covariate effects with clustered binary data
13. The effect of retrospective sampling on binary regression models for clustered data
14. Between- and within-cluster covariate effects in the analysis of clustered data
15. A comparison of cluster-specific and population-averaged approaches for analyzing correlated binary data
16. Design effects for binary regression models fitted to dependent data
17. Robust estimation of gene frequency and association parameters
18. On case-control sampling of clustered data
19. Extreme discordant sib pairs for mapping quantitative trait loci in humans
20. General score tests for associations of genetic markers with disease using cases and their parents
21. Sample size requirements in cohort and case-control studies of disease
22. The effect of two-stage sampling on ordinary least squares methods
23. A comparison between bootstrap methods and generalized estimating equa-tions for correlated outcomes in generalized linear models
24. New techniques for the analysis of cohort studies
25. Testing association between candidate-gene markers and phenotype in related individuals, by use of estimating equations
26. Bivariate familial correlation analysis of quantitative traits by use of estimating equations: Application to a familial analysis of the insulin resistance syndrome
27. Multi-stage sampling in genetic epidemiology
28. Asymptotic bias and efficiency in case-control studies of candidate genes and gene-environment interactions: Basic family designs
29. Models for longitudinal data: A generalised estimating equation approach
30. Population-based family study designs: An interdisciplinary research framework for genetic epidemiology
31. A method for assessing patterns of familial resemblance in complex human pedigrees