The proposed research aims at: a) Improving the curent knowledge about the linkage map, by testing for new markers, blood samples from 2,000 families extensively typed for other genetic markers under previous NIH grants. Large numbers of posssible linkages will then be available for testing with comparatively little new laboratory work and expense. b) Improving the understanding of the genetics of inherited diseases with unclear mode of transmission by using as markers alleles at well-defined loci. This will be done by formal mathematical analysis of genetic patterns taking into consideration information about biases incurred in the selection of families studied, associations between marker alleles and the disease in question and compatibility of data with particular genetic models of disease. The possibility of, and reasons for, heterogeneity in these diseases will be explored in an attempt to separate genetic from non-genetic causes. Data on insulin dependent diabetes mellitus (IDDM), from our own studies and those of others in the literature, will be used as the empirical control of the models to be developed. We shall continue to devise appropriate methods for defining linkage in the presence of population association between a disease and specific alleles at a (possibly)linked locus. We shall continue to clarify the characteristics of the """"""""haplotype relative risk"""""""" (HRR) statistic, proposed by us to replace the """"""""relative risk"""""""" (RR) of Woolf in order to eliminate the effect of heterogeneity between samples of patients and controls. As a result of the advances expected from this work, we should be able to define the linkage relationships of several """"""""new"""""""" polymorphic traits with the 25 """"""""old"""""""" ones already defined in our sample and among themselves. We also expect to use the new mathematical tools to be developed for the study of diseases of complex genetics, such as IDDM, with a view to increasing the precision of genetic counselling and, more importantly, to suggesting approaches for the study of the mechanisms involved.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM029177-10
Application #
3276696
Study Section
Mammalian Genetics Study Section (MGN)
Project Start
1981-04-01
Project End
1992-07-31
Budget Start
1990-08-01
Budget End
1991-07-31
Support Year
10
Fiscal Year
1990
Total Cost
Indirect Cost
Name
New York Blood Center
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10065
Falk, Catherine T (2005) Diagnosis of alcoholism based on neural network analysis of phenotypic risk factors. BMC Genet 6 Suppl 1:S131
Costello, Tracy J; Falk, Catherine T; Ye, Kenny Q (2003) Data mining and computationally intensive methods: summary of Group 7 contributions to Genetic Analysis Workshop 13. Genet Epidemiol 25 Suppl 1:S57-63
Falk, Catherine T (2003) Risk factors for coronary artery disease and the use of neural networks to predict the presence or absence of high blood pressure. BMC Genet 4 Suppl 1:S67
Falk, C T (2001) Locus ordering based on crossover information in family haplotypes: application of a ""minimum break"" algorithm. Genet Epidemiol 21 Suppl 1:S565-70
Falk, C T (2001) Introduction: halotype analysis of simulated Genetic Analysis Workshop12 data. Genet Epidemiol 21 Suppl 1:S552-3
Reynolds, D M; Falk, C T; Li, A et al. (2000) Identification of a locus for autosomal dominant polycystic liver disease, on chromosome 19p13.2-13.1. Am J Hum Genet 67:1598-604
Li, W; Haghighi, F; Falk, C T (1999) Design of artificial neural network and its applications to the analysis of alcoholism data. Genet Epidemiol 17 Suppl 1:S223-8
Falk, C T (1999) Systematic search for disease loci for complex genetic traits: a study based on simulated population data. Genet Epidemiol 17 Suppl 1:S551-6
Falk, C T; Gilchrist, J M; Pericak-Vance, M A et al. (1998) Using neural networks as an aid in the determination of disease status: comparison of clinical diagnosis to neural-network predictions in a pedigree with autosomal dominant limb-girdle muscular dystrophy. Am J Hum Genet 62:941-9
Falk, C T (1997) Effect of genetic heterogeneity and assortative mating on linkage analysis: a simulation study. Am J Hum Genet 61:1169-78

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