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VIELAND LABORATORY
My focus is on the statistical and computational techniques that underlie human gene-mapping (localization of genes on the human genome), gene identification, and characterization of the genetic architecture of complex clinical phenotypes. My group has developed a novel class of quasi-Bayesian models, and much of our attention is devoted to ongoing expansion of the set of genetic features handled by the underlying likelihoods, together with evaluation of the efficacy of the models in the context of typical human data sets; the other arm of this work is the development of the high-performance computational approaches required for application of our statistical methods. I also collaborate actively on a number of clinical genetic studies. I have several funded projects focused on the genetics of autism, including, in addition to our own basic research, two projects in which our Center serves as the data coordinating site for large, international collaborations. Other projects in which I’ m currently involved are studying the genetics of cleft lip and palate, schizophrenia, autoimmune thyroid disease, systemic lupus erythematosus, and congenital heart defects.
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| Education |
| 1990 |
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Post-Doctoral Fellowship |
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Child Psychiatry |
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Columbia University, New York, NY |
| 1988 |
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M.S. |
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Biostatistics |
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Columbia University, New York, NY |
| 1986 |
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Ph.D. |
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Philosophy |
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Columbia University, New York, NY |
| 1979 |
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B.A. |
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Philosophy |
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Barnard College, NY |
| Professional Experience |
| 2007- PRES |
Director, Battelle Center for Mathematical Medicine (formerly known as the Center for Quantitative and Computational Biology), The Research Institute at Nationwide Children's Hospital |
| 2007- PRES |
Battelle Chair in Quantitative and Computational Biology, The Research Institute at Nationwide Children's Hospital |
| 2007- PRES |
Professor, Department of Statistics (Secondary), The Ohio State University |
| 2006- PRES |
Professor of Pediatrics, The Ohio State University |
| 2007- 2010 |
Adjunct Professor, Department of Genetics, Rutgers University |
| 2006- 2007 |
Dwight E. Peters and Juanita R. Curran Professor of Pediatric Research, The Research Institute at Nationwide Children's Hospital |
| 2006- 2007 |
Director, Center for Quantitative and Computational Biology, The Research Institute at Nationwide Children's Hospital |
| 2003- 2006 |
Professor and Head, Department of Public Health Genetics; Professor of Psychiatry and Genetics, The University of Iowa |
| 2000- 2006 |
Director, Center for Statistical Genetics Research, The University of Iowa |
| 2000- 2003 |
Director, Division of Statistical Genetics, Department of Biostatistics, The University of Iowa |
| 1995- 1999 |
Associate Professor of Biostatistics, Psychiatry, and Genetics, The University of Iowa |
| 1990- 1995 |
Assistant Professor, Departments of Psychiatry and Biostatistics, Columbia University |
Research Interests
My focus is on the statistical and computational techniques that underlie human gene-mapping (localization of genes on the human genome), gene identification, and characterization of the genetic architecture of complex clinical phenotypes. My group has developed a novel class of quasi-Bayesian models, and much of our attention is devoted to ongoing expansion of the set of genetic features handled by the underlying likelihoods, together with evaluation of the efficacy of the models in the context of typical human data sets; the other arm of this work is the development of the high-performance computational approaches required for application of our statistical methods. I also collaborate actively on a number of clinical genetic studies. I have several funded projects focused on the genetics of autism, including, in addition to our own basic research, two projects in which our Center serves as the data coordinating site for large, international collaborations. Other projects in which I'm currently involved are studying the genetics of cleft lip and palate, schizophrenia, autoimmune thyroid disease, systemic lupus erythematosus, and congenital heart defects.
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| Selected Publications |
| Seok S, Evans M, Vieland VJ. Fast and accurate calculation of a computationally intensive statistic for mapping disease genes. J Comput Biol 16(5):659-676, 2009. PubMed ID: 19432537 |
| Wratten NS, Memoli H, Huang Y, Dulencin AM, Matteson PG, Cornacchia MA, Azaro MA, Messenger J, Hayter JE, Bassett AS, Buyske S, Millonig JH, Vieland VJ, Brzustowicz LM. Identification of a schizophrenia associated functional non-coding variant in NOS1AP, Amer J Psychiatry, Mar 2, 2009. PubMed ID: 19255043 |
| Govil M, Vieland VJ. Practical considerations for dividing data into subsets prior to PPL analysis, Hum Hered 66:223-237, 2008. PubMed ID: 18612207 |
| Vieland VJ, Huang Y, Bartlett CW, Davies TF, Tomer Y. A multilocus model of the genetic architecture of autoimmune thyroid disorder with clinical implications. Am J Hum Genet 82:1349-1356, 2008. (Featured Article) PubMed ID: 18485327 |
| Wassink TH, Vieland VJ, Sheffield VC, Bartlett CW, Goedken R, Childress D, Piven J. Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16. Psychiatric Genet 18:85-91, 2008. PubMed ID: 18349700 |
| Govil M, Vieland VJ. MLIP: Using multiple processors to compute the posterior probability of linkage. BMC Bioinformatics 9(Suppl 6):S2, 2008. PubMed ID: 18541055 |
| Bartlett CW and Vieland VJ. Accumulating quantitative trait linkage evidence across multiple datasets using the posterior probability of linkage. Genet Epidemiol 31(2)91-102. 2007. PubMed ID: 17123305 |
| Autism Genome Project. Mapping autism risk loci using genetic linkage and chromosomal rearrangements. Nature Genet 39(3):319-328. 2007. PubMed ID: 17322880 |
| Vieland VJ. Thermometers: Something for statistical geneticists to think about. Human Hered 61:144-156. 2006. PubMed ID: 16770079 |
| Park JW, Cremer JF, Segre AM, Logue MW and Vieland VJ. Visual exploration of genetic likelihood space. Proceedings of the ACM Symposium on Applied Computing. 2006. |
| Logue MW, Brzustowicz LM, Bassett AS, Chow EW and Vieland VJ. A posterior probability of linkage-based re-analysis of schizophrenia data yields evidence of linkage to chromosomes 1 and 17. Hum Hered 62(1):47-54. 2006. PubMed ID: 17019084 |
| Segre AM, Wildenberg A, Vieland VJ and Zhang Y. Privacy-preserving data set union. In Privacy in Statistical Databases. Domingo-Ferrer J, Franconi L (eds.). Springer-Verlag: Berlin, 266-276. 2006. |
| Logue MW, Vieland VJ. The incorporation of prior genomic information does not necessarily improve the performance of Bayesian linkage methods: An example involving sex-specific recombination and the two-point PPL. Human Hered 60:196-205. 2005 PubMed ID: 16397399 |
| Bartlett CW, Vieland VJ. Two novel quantitative trait linkage analysis statistics based on the posterior probability of linkage: Application to the COGA families. BMC Genetics 6(Suppl 1):S121. 2005. PubMed ID: 16451579 |
| Yang X, Huang J, Logue MW, Vieland VJ. The posterior probability of linkage allowing for linkage disequilibrium and a new estimate of disequilibrium between a trait and a marker. Human Hered 59:210-219. 2005. PubMed ID: 16015031 |
| Vieland VJ. Heterogeneity: GAW Group 15. Genet Epidem Supp S110-S115. 2005. |
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