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Dmitri Zaykin, Ph.D.

Biostatistics & Computational Biology Branch

Dmitri Zaykin, Ph.D.
Dmitri V. Zaykin, Ph.D.
Principal Investigator
Tel (919) 541-0096
Fax (919) 541-4311
P.O. Box 12233
Mail Drop A3-03
Research Triangle Park, NC 27709

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Dmitri Zaykin joined NIEHS in October 2004, and holds a secondary appointment in the NIEHS Genome Integrity and Structural Biology Laboratory. His previous positions in statistical and population genetics were at the Institute of Marine Biology in Vladivostok, Russia, North Carolina State University’s Statistics Department and at GlaxoSmithKline Inc. His scientific interests are in the areas of statistical, population genetics and genetic epidemiology with applications to genetics of human diseases and pharmacogenetics. His research focus is on:

  • Models for predicting the balance between spurious and real findings among top hits of large scale genetic studies.
  • Development of methods that are applicable for analysis of multidimensional genomic data.
  • Approaches for detection of local genetic associations with health-related outcomes.


The following links send you to new web pages where files are available for downloading. Once you arrive at the new web pages, to download a file, either RIGHT CLICK (on a PC) or CONTROL CLICK (on a Mac) and pick Download Link To Disk (sometimes listed as Save Link to Disk). Additional downloads at the Biostatistics software page ("/Rhythmyx/assembler/render?sys_contentid=56373&sys_revision=6&sys_variantid=639&sys_context=0&sys_authtype=0&sys_siteid=&sys_folderid=" sys_dependentvariantid="639" sys_dependentid="56373" inlinetype="rxhyperlink" rxinlineslot="103" sys_dependentid="56373" sys_siteid="" sys_folderid="").

  • Analysis of Genetic Associations for Shared Controls Design
    ("/Rhythmyx/assembler/render?sys_contentid=35154&sys_revision=8&sys_variantid=639&sys_context=0&sys_authtype=0&sys_siteid=&sys_folderid=" sys_dependentvariantid="639" sys_dependentid="35154" inlinetype="rxhyperlink" rxinlineslot="103" sys_dependentid="35154" sys_siteid="" sys_folderid="")P-value based analysis for shared controls design in genome-wide association studies.
  • Correlation-Based Tests
    ("/Rhythmyx/assembler/render?sys_contentid=35146&sys_revision=5&sys_variantid=639&sys_context=0&sys_authtype=0&sys_siteid=&sys_folderid=" sys_dependentvariantid="639" sys_dependentid="35146" inlinetype="rxhyperlink" rxinlineslot="103" sys_dependentid="35146" sys_siteid="" sys_folderid="")Correlation-based inference for linkage disequilibrium with multiple alleles.
  • "The program "Haplotype Trend Regression""The program "Haplotype Trend Regression"
    Developed while at North Carolina State University.
  • Rankings of causal loci in GWAS
    ("/Rhythmyx/assembler/render?sys_contentid=35144&sys_revision=4&sys_variantid=639&sys_context=0&sys_authtype=0&sys_siteid=&sys_folderid=" sys_dependentvariantid="639" sys_dependentid="35144" inlinetype="rxhyperlink" rxinlineslot="103" sys_dependentid="35144" sys_siteid="" sys_folderid="")Novel rank-based approaches for discovery and replication in genome wide association studies.

Relevance to NIEHS Mission

Behavior, environmental exposures, and genetic differences between individuals are among major factors that determine risk of disease. Inherited and life-accumulated genetic mutations can be seen as unpreventable parts of that risk, but uncovering genetic components of disease is a key part of the process toward understanding disease progression and mechanisms. The relative contributions of genetic and environmental components to disease are difficult to quantify and interpret, and identification of genetic susceptibility factors is a challenging statistical task. Development of new statistical approaches helps to understand mechanisms of disease, empowers translational research, and can lead to interventions that turn inherited and seemingly unavoidable predispositions into preventable ones through life style modifications or therapeutic interventions.

Selected Publications

  1. Dong J, Wyss, Yang J, Price R, Nicolas A, Nalls M, Tranah G, Franceschini N, Xu Z, Schulte C, Alonso A, Cummings SR, Fornage M, Zaykin D, Li L, Huang X, Kritchevsky S, Liu Y, Gasser T, Wilson RS, De Jager PL, Singleton AB, Pinto JM, Harris T, Mosley Jr. TH, Bennett DA, London S, Yu L, Chen H. Genome-wide association analysis of the sense of smell in U.S. older adults: Identification of novel risk loci in African-Americans and European-Americans. 2017; Molecular Neurobiology, doi:10.1007/s12035-016-0282-8. [Abstract] 
  2. Shi M, O'Brien K, Sandler DP, Taylor JA, Zaykin DV, Weinberg CR. 2017. Previous GWAS hits in relation to young-onset breast cancer. Breast Cancer Research and Treatment 161: 333–344. [Abstract] 
  3. Vsevolozhskaya OA, Zaykin DV, Barondess DA, Tong X, Jadhav J, Lu Q. 2016. Uncovering local trends in genetic effects of multiple phenotypes via functional linear models. Gen. Epi. 40:210–221. [Abstract]
  4. O'Brien KM, Shi M, Sandler DP, Taylor JA, Zaykin DV, Keller J, Wise AS, Weinberg CR. 2016. A family-based, genome-wide association study of young-onset breast cancer: inherited variants and maternally mediated effects. European journal of human genetics: EJHG 24(9):1316-1323. [Abstract]
  5. Kuo CL, Vsevolozhskaya OA, Zaykin DV. 2015. Assessing the probability that a finding is genuine for large-scale genetic association studies. PLOS ONE 10:e0124107. [Abstract]
  6. Weinberg CR, Zaykin DV. 2015. Is bad luck the main cause of cancer? Journal of the National Cancer Institute 107:djv125
  7. Cinghu S*, Yellaboina S*, Freudenberg JM, Ghosh S, Zheng X, Oldfield AJ, Lackford BL, Zaykin DV, Hu G, Jothi R . (2014) Integrative framework for identification of key cell identity genes uncovers determinants of ES cell identity and homeostasis. Proc Natl Acad Sci 111(16):E1581-E1590. (*Co-first authors) [Abstract]
  8. Shi M, London SJ, Chiu GY, Hancock DB, Zaykin D, Weinberg CR. 2011. Using imputed genotypes for relative risk estimation in case-parent studies. American Journal of Epidemiology 173(5): 553-559. [Abstract]  
  9. Kuo C-L, Zaykin DV. 2011. Novel rank-based approaches for discovery and replication in genome wide association studies. Genetics [Epub ahead of print]. [Abstract]  
  10. Zaykin DV, Young SS. 2005. Large recursive partitioning analysis of complex disease pharmacogenetic studies. II. Statistical considerations. Pharmacogenomics 6: 77-89. [Abstract]  
  11. Yellaboina S, Tasneem A, Zaykin DV, Raghavachari B, Jothi R. 2011. DOMINE: a comprehensive collection of known and predicted domain-domain interactions. Nucleic Acids Res 39: 730-735. [Abstract]  
  12. Zaykin DV, Kozbur DO. 2010. P-value based analysis for shared controls design in genome-wide association studies. Genet Epidemiol 34: 725-738. [Abstract]  
  13. Costigan M, Belfer I, Griffin RS, Dai F, Barrett LB, Coppola G, Wu T, Kiselycznyk C, Poddar M, Lu Y, Diatchenko L, Smith S, Cobos EJ, Zaykin D, et al. 2010. Multiple chronic pain states are associated with a common amino acid changing allele in KCNS1. Brain 133: 2519-2527. [Abstract]  
  14. Reimann F, Cox JJ, Belfer I, Diatchenko L, Zaykin D, McHale DP, Drenth JPH et al. 2010. Pain perception is altered by a nucleotide polymorphism in SCN9A. PNAS 107: 5148-5153. [Abstract]  
  15. Shabalina SA, Zaykin DV, Gris P, Ogurtsov AY, Gauthier J, Shibata K, Tchivileva IE, Belfer I, Mishra B, Kiselycznyk C, Wallace MR, Staud R, Spiridonov NA, Max MB, Goldman D, Fillingim RB, Maixner W, Diatchenko L. 2009. Expansion of the human mu-opioid receptor gene architecture: novel functional variants. Hum Mol Genet 18: 1037-1051. [Abstract]  
  16. Zheng G, Joo J, Zaykin DV, Wu CO, Geller NL. 2009. Robust tests in genome-wide scans under incomplete linkage disequilibrium. Statistical Science 24: 503-516. [Abstract]  
  17. Sayenko EM, Bogatov VV, Zaykin DV. 2009. On the systematic position of the Far Eastern Kunashiria and Arsenievinaia genera (Bivalvia, Unionidae). Russian Journal of Zoology 88: 1298-1310. [Abstract]  
  18. Zaykin DV, Pudovkin AI, Weir BS. 2008. Correlation-based inference for linkage disequilibrium with multiple alleles. Genetics 180: 533-545. [Abstract]  
  19. Shibata K, Diatchenko L, Zaykin DV. 2008. Haplotype associations with quantitative traits in the presence of complex multilocus and heterogeneous effects. Genet Epidemiol 33: 63-78. [Abstract]  
  20. Zaykin DV, Shibata K. 2008. Genetic flip-flop without an accompanying change in linkage disequilibrium. Am J Hum Genet 82: 794-796.  
  21. Menzorov AG, Matveeva NM, Larkin DM, Zaykin DV, Serov OL. 2008. Fate of parental mitochondria in embryonic stem hybrid cells. Cell and Tissue Biology 2: 393-399.  
  22. Zaykin DV, Zhivotovsky LA, Czika W, Shao S, Wolfinger RD. 2007. Combining p-values in large scale genetics experiments. Pharmaceutical Statistics 6(3): 217-226. [Abstract]  
  23. Warren LL, Hughes AR, Lai EH, Zaykin DV, Haneline SA, Bansal AT, Wooster AW, Spreen WR, Hernandez JE, Scott TR, Roses AD, Mosteller M. 2006. Use of pairwise marker combination and recursive partitioning in a pharmacogenetic genome-wide scan. Pharmacogenomics J. Sep 12 [Abstract]  
  24. Zaykin DV, Meng Z, Ehm MG. 2006. Contrasting  linkage disequilibrium patterns between cases and controls as a novel association mapping method. Am J Hum Genet 78: 737-746. [Abstract]  
  25. Zaykin DV, Zhivotovsky L. 2005. Ranks of genuine associations in whole genome scans. Genetics 171: 813-823. [Abstract]  
  26. Zaykin DV, Young SS. 2005. Large recursive partitioning analysis of complex disease pharmacogenetic studies. II. Statistical considerations. Pharmacogenomics 6: 77-89. [Abstract]  
  27. Nielsen DM, Ehm MG, Zaykin DV, Weir BS. 2004. Effect of two- and three-locus linkage disequilibrium on the power to detect marker/phenotype associations. Genetics 168: 1029-1040. [Abstract]  
  28. Zaykin DV. 2004. Bounds and normalization of the composite linkage disequilibrium coefficient. Genetic Epidemiology 27: 252-257. [Abstract]  
  29. Zaykin DV, Meng Z, Ghosh SK. 2004. Interval estimation of genetic susceptibility for retrospective case-control studies. BMC Genetics May 11; 5(1): 9. [Abstract]  
  30. Meng Z, Zaykin DV, Xu C-F, Wagner M, Ehm M. 2003. Selection of genetic markers for association analyses, using linkage disequilibrium and haplotypes. Am J of Hum Genet 73: 115-130. [Abstract]  
  31. Zaykin DV, Westfall PH, Young SS, Karnoub MC, Wagner MJ, Ehm MG. 2002. Testing association of statistically inferred haplotypes with discrete and continuous traits in samples of unrelated individuals. Human Heredity 53: 79–91. [Abstract]  
  32. Zaykin DV, Zhivotovsky LA, Westfall PH, and Weir BS. 2002. Truncated product method for combining p-values. Genetic Epidemiology 22: 170-185. [Abstract]  
  33. Xu C-F, Lewis K, Cantone CL, Khan P, Donnelly C, White N, Crocker N, Boyd PR, Zaykin DV, Purvis IJ. 2002. Effectiveness of computational methods in haplotype prediction. Hum Genet 110: 148-156. [Abstract]  
  34. Westfall PH, Zaykin DV, and Young SS. 2001. Multiple tests for genetic effects in association studies.  In "Biostatistics Methods", series "Methods in Molecular Biology, Biotechnology and Medicine", Stephen Looney, Ed., The Humana Press, Inc.  
  35. Nielsen DM, Zaykin DV. 2001. Association mapping: where we’ve been, where we’re going. Expert Reviews in Molecular Diagnostics 1: 334-42. [Abstract]  
  36. Meng Z, Zaykin DV, Karnoub MC, Sreekumar GP, St Jean PL, Ehm MG. 2001. Identifying susceptibility genes using linkage and linkage disequilibrium analysis in large pedigrees. Genetic Epidemiology 21S: 453-458. [Abstract]  
  37. Almasy L, Terwilliger JD, Nielsen D, Dyer TD, Zaykin D, Blangero J. 2001. GAW12: Simulated genome scan, sequence, and family data for a common disease. Genetic Epidemiology 21S: 332-338. [Abstract]  
  38. Thomas DC, Borecki IB, Thomson G, Weiss K, Terwilliger JD, Nielsen D, Zaykin D, Blangero J, Almasy L, Macluer J. 2001. Abstract. Evolution of the simulated data problem. Genetic Epidemiology 21S: 325-331. [Abstract]  
  39. Zaykin DV, Young SS, and Westfall PH. 2000. Using false discovery rate approach in the genetic dissection of complex traits: a response to Weller et al. Genetics 154: 1917-1918. [Abstract]  
  40. Zaykin D and Pudovkin A. 2000. The variance effective population size for mitochondrial genes. Russian Journal of Genetics 36: 965-967.  
  41. Nielsen D, Zaykin D. 1999. Novel tests for marker-disease association using the Collaborative Study on the Genetics of Alcoholism data. Genetic Epidemiology S265-S270. [Abstract]
  42. Pudovkin AI, Zaykin D, and Hedgecock D. 1996. On the potential for estimating the effective number of breeders from heterozygote-excess in progeny. Genetics 144: 383-387. [Abstract]  
  43. Zaykin D, Zhivotovsky LA, and Weir BS, 1995. Exact test for association between alleles at arbitrary number of loci. Genetica 96: 169-178. [Abstract]