Abstract

Population genetic theory will be developed to predict levels of variation and degrees of association for genetic markers in a variety of models of population structure, mating system and mutation regime. Particular attention will be paid to restriction fragment length polymorphisms and to DNA sequences. Statistical methodologies for making inferences from these kinds of data will be developed. Work will proceed in four principal directions. The first will be concerned with linkage disequilibrium for restriction sites. Expected values for squared disequilibria will be found for segregating sites and a numerical study made of the temporal behavior of these quantities. Testing hypotheses about disequilibria will take account of lower-order disequilibria and departures from random mating. The second area will be concerned with the statistical properties of populaton genetic parameter estimates, with emphasis on resampling methods. Jackknifing and bootstrapping will be compared for quantities such as average heterozgosity. Diagnostic procedure will be explored to identify features of data that can lead to negative variance components in hierarchical analyses of gene frequencies. As a third topic, a suite of trigenic and quadrigenic identity coefficients will be evaluated for loci undergoing gene conversion. Such quantities will allow variance for digneic measures of identity or disequilibrium to be predicted. Both inter- and intra- chromosomal gene conversion will be incorporated into this theory, as well as drift, mutation and recombination. The fourth major area will be concerned with measures of distance between DNA sequences. The availability of several sequences for a population or species requires that the effects of drift be included in theories for the variance of distance measures. The amalgamation of within- and between-population variance is made complicated by lack of knowledge of properties of founding populations, and the necessity to allow mutation to be among four bases.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM032518-05
Application #
3281434
Study Section
Genetics Study Section (GEN)
Project Start
1984-07-01
Project End
1992-06-30
Budget Start
1988-07-01
Budget End
1989-06-30
Support Year
5
Fiscal Year
1988
Total Cost
Indirect Cost

  Institution

Name
North Carolina State University Raleigh
Department
Type
Schools of Arts and Sciences
DUNS #
City
Raleigh
State
NC
Country
United States
Zip Code
27695

  Publications

Atchley, W R; Zhu, J (1997) Developmental quantitative genetics, conditional epigenetic variability and growth in mice. Genetics 147:765-76
Wilcox, P L; Amerson, H V; Kuhlman, E G et al. (1996) Detection of a major gene for resistance to fusiform rust disease in loblolly pine by genomic mapping. Proc Natl Acad Sci U S A 93:3859-64
Zhu, J; Weir, B S (1996) Mixed model approaches for diallel analysis based on a bio-model. Genet Res 68:233-40
Maiste, P J; Weir, B S (1995) A comparison of tests for independence in the FBI RFLP data bases. Genetica 96:125-38
Zhu, J (1995) Analysis of conditional genetic effects and variance components in developmental genetics. Genetics 141:1633-9
Doerge, R W (1995) Testing for linkage: phase known/unknown. J Hered 86:61-2
Muse, S V; Gaut, B S (1994) A likelihood approach for comparing synonymous and nonsynonymous nucleotide substitution rates, with application to the chloroplast genome. Mol Biol Evol 11:715-24
Weir, B S (1993) Analysis of DNA sequences. Stat Methods Med Res 2:225-39
Muse, S V; Weir, B S (1992) Testing for equality of evolutionary rates. Genetics 132:269-76
Maiste, P J; Weir, B S (1992) Estimating linkage disequilibrium from conditional data. Am J Hum Genet 50:1139-40

Showing the most recent 10 out of 26 publications