D Zaykin

Publications (5)17.33 Total impact

• Source

  Available from: ncsu.edu

  Article: Association mapping: where we've been, where we're going.

  D M Nielsen, D Zaykin
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  ABSTRACT: This paper provides a review of recent work in the area of marker-phenotype association studies, specifically as used for localizing--or mapping--genes affecting a trait of interest. We describe the basis of association mapping and discuss a number of the commonly used techniques. We have also included references to various papers that have evaluated the use of these methods.
  Expert Review of Molecular Diagnostics 10/2001; 1(3):334-42. · 4.86 Impact Factor
• Article: GAW12: simulated genome scan, sequence, and family data for a common disease.

  L Almasy, J D Terwilliger, D Nielsen, T D Dyer, D Zaykin, J Blangero
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  ABSTRACT: The Genetic Analysis Workshop (GAW) 12 simulated data involves a common disease defined by imposing a threshold on a quantitative liability distribution. Associated with the disease are five quantitative risk factors, a quantitative environmental exposure, and a dichotomous environmental variable. Age at disease onset and household membership were also simulated. Genotype data, including 2,855 microsatellites on 22 autosomes, were simulated for 1,497 individuals in 23 families. Phenotype data and sequence data for seven candidate genes were provided for 1,000 of these individuals who were "living" and available for study. Data were simulated for 50 replicate samples in each of two populations, a general population and a population isolate formed from a small group of founders.
  Genetic Epidemiology 02/2001; 21 Suppl 1:S332-8. · 3.44 Impact Factor
• Source

  Available from: John Blangero

  Article: Evolution of the simulated data problem.

  D C Thomas, I B Borecki, G Thomson, K Weiss, L Almasy, J Blangero, D Nielsen, J Terwilliger, D Zaykin, J MacCluer
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  ABSTRACT: The simulated data problem was designed via an interactive process by the Simulation Problem Organizing Committee and the selected data simulators. Based on discussions at the previous Genetic Analysis Workshop, many of the features of previous simulation problems, such as a complex disease, genome scan, and replication, were retained and in addition, a population genetics model was used to generate the simulated genes. We describe the process that was used to structure the problem and summarize the discussions about many of the scientific issues that were considered.
  Genetic Epidemiology 02/2001; 21 Suppl 1:S325-31. · 3.44 Impact Factor
• Article: Novel tests for marker-disease association using the Collaborative Study on the Genetics of Alcoholism data.

  D Nielsen, D Zaykin
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  ABSTRACT: We applied several novel tests for association and linkage in the presence of association to the Genetic Analysis Workshop 11 Problem 1 data set. Our analyses included a Hardy-Weinberg test for association between a marker and a disease susceptibility locus, a Bayesian transmission/disequilibrium test, and a Bayesian case-control test. Positive results for each of these methods require the presence of population association between the marker and a disease susceptibility locus.
  Genetic Epidemiology 02/1999; 17 Suppl 1:S265-70. · 3.44 Impact Factor
• Source

  Available from: ncsu.edu

  Article: Exact tests for association between alleles at arbitrary numbers of loci.

  D Zaykin, L Zhivotovsky, B S Weir
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  ABSTRACT: Associations between allelic frequencies, within and between loci, can be tested for with an exact test. The probability of the set of multi-locus genotypes in a sample, conditional on the allelic counts, is calculated from multinomial theory under the hypothesis of no association. Alleles are then permuted and the conditional probability calculated for the permuted genotypic array. The proportion of arrays no more probable than the original sample provides the significance level for the test. An algorithm is provided for counting genotypes efficiently in the arrays, and the powers of the test presented for various kinds of association. The powers for the case when associations are generated by admixture of several populations suggest that exact tests are capable of detecting levels of association that would affect forensic calculations to a significant extent.
  Genetica 02/1995; 96(1-2):169-78. · 2.15 Impact Factor