faculty research interests  

 
Pomp
2115B Michael Hooker Research Center
CB# 7461
(919) 966-0013 (office)
(919) 966-0091 (lab)
(919) 843-8555 (fax)
dpomp@unc.edu
 
 
Center & Program Memberships:
Carolina Center for Genome Sciences
Inter-Disciplinary Obesity Center

 



 

 

 

 

 

 

 

 

 

 

 

 

 

Daniel Pomp, PhD
Professor
Joint appointment in the Department of Nutrition and the Carolina Center for Genome Sciences

Education:

BS, Hebrew University of Jerusalem, 1983
MS, University of Wisconsin-Madison, 1986
PhD, North Carolina State University, 1989

The Genetics of Growth, Obesity and Body Weight Regulation in Animal Models

Dr. Pomp studies the genetic architecture of complex traits, with an emphasis on obesity and body weight regulation. Using polygenic mouse models and high throughput approaches integrating
 
Figure 1
 
   
genomics and physiology, he identifies genes that control predisposition to obesity and studies how these genes interact with each other and with nutritional interventions. Most recently, Dr. Pomp has also begun to investigate polygenic and dietary obesity as risk factors for mammary and colon cancer susceptibility. Dr. Pomp's research has been funded by the National Institute of Health, the National Science Foundation, the United States Department of Agriculture, and by a variety of sources in the biomedical and agricultural industries.

 

 

Recent Publications
(link to all PubMed publications)

Allan MF, Eisen EJ, Pomp D. (2005) Genomic mapping of direct and correlated responses to long-term selection for rapid weight gain in mice. Genetics (In Press).

Allan MF, Eisen EJ, Pomp D. (2004) The M16 Mouse: An outbred animal model of polygenic obesity and obesity induced diabetes (diabesity). Obesity Research 12:1397-1407.

Caetano AC, JB Edeal, K Burns, RK Johnson, C Tuggle, D Pomp. (2005) Physical mapping of the differentially expressed porcine ovarian transcriptome. Animal Genetics 36:322-30.

Caetano A, J Ford, RK Johnson, D Pomp. (2004) Microarray profiling for differential gene expression in ovaries and ovarian follicles of pigs selected for increased ovulation rate. Genetics 168:1529-37.

Churchill GA (D Pomp among many other authors). (2004) The Collaborative Cross: A community resource for the genetic analysis of complex traits. Nature Genetics 36:1133-1137.

Demeure O, Pomp D, Rothschild MF, Milan D, Tuggle C. (2005) Large-scale EST mapping refines the comparative maps for SSC1 and SSC7 with the human genome. Animal Genetics (In Press).

Holl JW, JP Cassady, D Pomp, RK Johnson. (2004) A genome scan for QTL and imprinted regions affecting reproduction in pigs. J Anim Sci 82:3421-3429.

Jerez-Timaure NC, Eisen EJ, Pomp D. (2004) Characterization of quantitative trait loci with major effects on fatness and growth on mouse chromosome 2. Obesity Research 12:1408-1420.

Jerez-Timaure NC, Eisen EJ, Pomp D. (2005) Fine mapping of QTL with major effect on weight and fat on distal mouse chromosome 2. Physiological Genomics 21(3):411-22.

Leamy LJ, Elo K, Nielsen MK, Van Vleck LD, Pomp D. (2005) Genetic variance and covariance patterns for body weight and energy balance traits in an advanced intercross population of mice. Genetics-Selection-Evolution 37:151-173.

Moller M, Berg F, Riquet J, Pomp D, et al. (2004) High-resolution comparative mapping across pig chromosome 4 (SSC4), emphasizing the FAT1 region. Mammalian Genome 15:771-31.

Pomp D, Allan MF, Wesolowski S. (2004) Quantitative Genomics: Exploring the genetic architecture of complex trait predisposition. J Anim Sci 82:E300–E312.

Rocha J, Eisen EJ, Van Vleck DL, Pomp D. (2004) A large sample QTL study in mice. I: Growth. Mamm Genome 15:83-99.

Rocha J, Eisen EJ, Van Vleck DL, Pomp D. (2004) A large sample QTL study in mice. II: Body Composition. Mamm Genome 15:100-115.

Rocha J, Eisen EJ, Van Vleck DL, Siewerdt F, Pomp D. (2004) A large sample QTL study in mice. III: Reproduction. Mamm Genome 15:878-886.

Yi N, Yandell B, Churchill GA, Allison DB, Eisen EJ and Pomp D. (2005) Bayesian model selection for genome-wide interacting QTL analysis. Genetics 170(3):1333-44.

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