The statistical examination of familial disease, and human traits associated with diseases, considers whether the phenotype under study is familial and, if so, whether some genetic mechanism (e.g. segregation of a major gene and linkage to a known marker) is relevant. Such an analysis should realistically account for less specific sources of familial covariation such as common environment, cultural transmission and other factors with separately indistinguishable effects. Regressive models offer a practical approach to derive the necessary comprehensive models for family data. Details and extensions of the regressive models to be worked out include parsimonious covariate adjustment; multiple logistic models for qualitative traits with more than two categories; association of genotypes of mates; ascertainment corrections; missing data; linkage and other bivariate problems; and variance component and path analytic models. The statistical properties (bias, consistency, diagnostics, likelihood surfaces, and robustness of likelihood ratio tests) will also be studied.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
5R29GM039573-05
Application #
3466846
Study Section
Special Emphasis Panel (SSS)
Project Start
1987-05-01
Project End
1992-04-30
Budget Start
1991-05-01
Budget End
1992-04-30
Support Year
5
Fiscal Year
1991
Total Cost
Indirect Cost
Name
Howard University
Department
Type
Schools of Medicine
DUNS #
056282296
City
Washington
State
DC
Country
United States
Zip Code
20059
Amfoh, K K; Shaw, R F; Bonney, G E (1994) The use of logistic models for the analysis of codon frequencies of DNA sequences in terms of explanatory variables. Biometrics 50:1054-63
Bonney, G E (1992) Compound regressive models for family data. Hum Hered 42:28-41
Demenais, F M; Laing, A E; Bonney, G E (1992) Numerical comparisons of two formulations of the logistic regressive models with the mixed model in segregation analysis of discrete traits. Genet Epidemiol 9:419-35
Bonney, G E (1990) Interactions of genes, environment, and life-style in lung cancer development. J Natl Cancer Inst 82:1236-7
Demenais, F M; Murigande, C; Bonney, G E (1990) Search for faster methods of fitting the regressive models to quantitative traits. Genet Epidemiol 7:319-34
Abel, L; Bonney, G E (1990) A time-dependent logistic hazard function for modeling variable age of onset in analysis of familial diseases. Genet Epidemiol 7:391-407
Amos, C I; Dawson, D V; Elston, R C (1990) The probabilistic determination of identity-by-descent sharing for pairs of relatives from pedigrees. Am J Hum Genet 47:842-53
Borecki, I B; Lathrop, G M; Bonney, G E et al. (1990) Combined segregation and linkage analysis of genetic hemochromatosis using affection status, serum iron, and HLA. Am J Hum Genet 47:542-50
Bonney, G E; Dunston, G M; Wilson, J (1989) Regressive logistic models for ordered and unordered polychotomous traits: application to affective disorders. Genet Epidemiol 6:211-5
Amos, C I; Elston, R C; Wilson, A F et al. (1989) A more powerful robust sib-pair test of linkage for quantitative traits. Genet Epidemiol 6:435-49

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