@article{zaykin_zhivotovsky_westfall_weir_2002, title={Truncated product method for combining P-values}, volume={22}, ISSN={["0741-0395"]}, DOI={10.1002/gepi.0042}, abstractNote={Abstract}, number={2}, journal={GENETIC EPIDEMIOLOGY}, author={Zaykin, DV and Zhivotovsky, LA and Westfall, PH and Weir, BS}, year={2002}, month={Feb}, pages={170–185} }
 @article{zaykin_ehm_weir_2001, title={Determining success of haplotyping algorithms using densely mapped genomic regions.}, volume={69}, number={4}, journal={American Journal of Human Genetics}, author={Zaykin, D. V. and Ehm, M. G. and Weir, B. S.}, year={2001}, pages={116} }
 @article{thomas_borecki_thomson_weiss_almasy_blangero_nielsen_terwilliger_zaykin_maccluer_2001, title={Evolution of the Simulated Data Problem}, volume={21}, ISSN={0741-0395}, url={http://dx.doi.org/10.1002/gepi.2001.21.s1.s325}, DOI={10.1002/gepi.2001.21.s1.s325}, abstractNote={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. © 2001 Wiley‐Liss, Inc.}, number={S1}, journal={Genetic Epidemiology}, publisher={Wiley}, author={Thomas, Duncan C. and Borecki, Ingrid B. and Thomson, Glenys and Weiss, Ken and Almasy, Laura and Blangero, John and Nielsen, Dahlia and Terwilliger, Joseph and Zaykin, Dmitri and MacCluer, Jean}, year={2001}, pages={S325–S331} }
 @article{almasy_terwilliger_nielsen_dyer_zaykin_blangero_2001, title={GAW12: Simulated Genome Scan, Sequence, and Family Data for a Common Disease}, volume={21}, ISSN={0741-0395}, url={http://dx.doi.org/10.1002/gepi.2001.21.s1.s332}, DOI={10.1002/gepi.2001.21.s1.s332}, abstractNote={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 indiviudals 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. © 2001 Wiley‐Liss, Inc.}, number={S1}, journal={Genetic Epidemiology}, publisher={Wiley}, author={Almasy, Laura and Terwilliger, Joseph D. and Nielsen, Dahlia and Dyer, Thomas D. and Zaykin, Dmitri and Blangero, John}, year={2001}, pages={S332–S338} }
 @article{meng_zaykin_karnoub_sreekumar_st jean_ehm_2001, title={Identifying susceptibility genes using linkage and linkage disequilibrium analysis in large pedigrees}, volume={21}, ISSN={["0741-0395"]}, DOI={10.1002/gepi.2001.21.s1.s453}, abstractNote={Linkage and linkage disequilibrium tests are powerful tools for mapping complex disease genes. We investigated two approaches to identifying markers associated with disease. One method applied linkage analysis and then linkage disequilibrium tests to markers within linked regions. The other method looked for linkage disequilibrium with disease using all markers. Additionally, we investigated using Simes’ test to combine p‐values from linkage disequilibrium tests for nearby markers. We applied both approaches to all replicates of the Genetic Analysis Workshop 12 problem 2 isolated population data set. We reported results from the 25th replicate as if it were a real problem and assessed the power of our methods using all replicates. Using all replicates, we found that testing all markers for linkage disequilibrium with disease was more powerful than identifying markers that were in linkage with disease and then testing markers within those regions for linkage disequilibrium with the implementations that we chose. Using Simes’ test to combine p‐values for linkage disequilibrium tests on correlated markers seemed to be of marginal value. © 2001 Wiley‐Liss, Inc.}, journal={GENETIC EPIDEMIOLOGY}, author={Meng, ZL and Zaykin, DV and Karnoub, MC and Sreekumar, GP and St Jean, PL and Ehm, MG}, year={2001}, pages={S453–S458} }
 @article{meng_zaykin_ehm_weir_2001, title={Testing the association of quantitative traits and haplotypes considering treatment effects.}, volume={69}, number={4}, journal={American Journal of Human Genetics}, author={Meng, Z. and Zaykin, D. V. and Ehm, M. G. and Weir, B. S.}, year={2001}, pages={1286} }
 @misc{zaykin_young_westfall_2000, title={Using the false discovery rate approach in the genetic dissection of complex traits: A response to Weller et al.}, volume={154}, number={4}, journal={Genetics}, author={Zaykin, D. V. and Young, S. S. and Westfall, P. H.}, year={2000}, pages={1917–1918} }
 @article{zaykin_pudovkin_2000, title={Variance effective population size for mitochondrial genes}, volume={36}, number={8}, journal={Russian Journal of Genetics}, author={Zaykin, D. V. and Pudovkin, A. I.}, year={2000}, pages={965–967} }
 @article{nielsen_zaykin_1999, title={Novel tests for marker-disease association using the collaborative study on the genetics of alcoholism data}, volume={17}, number={Suppl.1}, journal={Genetic Epidemiology}, author={Nielsen, D. and Zaykin, D.}, year={1999}, pages={S265–270} }
 @article{pudovkin_zaykin_dolganov_1998, title={Interlocus association of allozyme genotypes in settlements of scallop Mizuhopecten (Patinopecten) in coastal waters of Primorye}, volume={34}, number={3}, journal={Genetika}, author={Pudovkin, A. I. and Zaykin, D. V. and Dolganov, S. M.}, year={1998}, pages={385–392} }