This application is intended to provide training in genomic research, especially the genetic linkage analysis of complex traits. It will also provide an opportunity for the applicant to experience laboratory work related to human genetics. The applicant's long-term career goal is to become an independent investigator in genetic research. The long-term research goal of this project is to establish a mathematical framework for the analysis of complex traits, with a near-term research goal of establishing and implementing a faster algorithm (in mathematical terms: a linear algorithm) for multipoint linkage analysis. Another proposed research project is to introduce concepts and methodology in the study of complex systems (in physics) to the study of complex traits (in genetics). Various smaller projects in different areas related to linkage analysis are also planned. Two well-known experts in their fields, Dr. Jurg Ott (Rockefeller University) and Dr. Conrad Gilliam (Columbia University) have been chosen as sponsors. This choice will guarantee a broad exposure of the candidate to problems in statistical and molecular genetics. Dr. Gilliam at Columbia University has a unique experience in mapping human disease genes not found at Rockefeller University.

National Institute of Health (NIH)
National Human Genome Research Institute (NHGRI)
Research Scientist Development Award - Research & Training (K01)
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Ethical, Legal, Social Implications Review Committee (GNOM)
Program Officer
Brooks, Lisa
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Rockefeller University
Biostatistics & Other Math Sci
Other Domestic Higher Education
New York
United States
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Li, Wentian; Yang, Yaning (2002) Zipf's law in importance of genes for cancer classification using microarray data. J Theor Biol 219:539-51
Fang, Li Juan; Li, Wentian; Chalhoub, Nader et al. (2002) Linkage disequilibrium and founder effect analysis of the NF1 gene in French Canadians from the Quebec population. Ann Genet 45:39-44
Li, Wentian; Bernaola-Galvan, Pedro; Haghighi, Fatameh et al. (2002) Applications of recursive segmentation to the analysis of DNA sequences. Comput Chem 26:491-510
Fang, L; Chalhoub, N; Li, W et al. (2001) Genotype analysis of the NF1 gene in the French Canadians from the Quebec population. Am J Med Genet 104:189-98
Li, W; Nyholt, D R (2001) Marker selection by Akaike information criterion and Bayesian information criterion. Genet Epidemiol 21 Suppl 1:S272-7
Li, W (2001) Delineating relative homogeneous G+C domains in DNA sequences. Gene 276:57-72
Li, W; Reich, J (2000) A complete enumeration and classification of two-locus disease models. Hum Hered 50:334-49
Li, W (1999) Statistical properties of open reading frames in complete genome sequences. Comput Chem 23:283-301
Li, W; Haghighi, F; Falk, C T (1999) Design of artificial neural network and its applications to the analysis of alcoholism data. Genet Epidemiol 17 Suppl 1:S223-8
Li, W; Stolovitzky, G; Bernaola-Galvan, P et al. (1998) Compositional heterogeneity within, and uniformity between, DNA sequences of yeast chromosomes. Genome Res 8:916-28

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