Getting biological about the genetics of diabetes.
Publication
, Journal Article
Newgard, CB; Attie, AD
Published in: Nat Med
April 2010
New technology has provided methods for collecting large amounts of data reflecting gene expression, metabolite and protein abundance, and post-translational modification of proteins. Integration of these various data sets enable the genetic mapping of many new phenotypes and facilitates the creation of network models that link genetic variation with intermediate traits leading to human disease. The first round of genome-wide association studies has not accounted for common human diseases to the extent that was expected. New phenotyping approaches and methods of data integration should bring these studies closer to their promised goals.
Duke Scholars
Published In
Nat Med
DOI
EISSN
1546-170X
Publication Date
April 2010
Volume
16
Issue
4
Start / End Page
388 / 391
Location
United States
Related Subject Headings
- Phenotype
- Oligonucleotide Array Sequence Analysis
- Mice
- Metabolomics
- Immunology
- Humans
- Genotype
- Genome-Wide Association Study
- Genetic Predisposition to Disease
- Disease Models, Animal
Citation
APA
Chicago
ICMJE
MLA
NLM
Newgard, C. B., & Attie, A. D. (2010). Getting biological about the genetics of diabetes. Nat Med, 16(4), 388–391. https://doi.org/10.1038/nm0410-388
Newgard, Christopher B., and Alan D. Attie. “Getting biological about the genetics of diabetes.” Nat Med 16, no. 4 (April 2010): 388–91. https://doi.org/10.1038/nm0410-388.
Newgard CB, Attie AD. Getting biological about the genetics of diabetes. Nat Med. 2010 Apr;16(4):388–91.
Newgard, Christopher B., and Alan D. Attie. “Getting biological about the genetics of diabetes.” Nat Med, vol. 16, no. 4, Apr. 2010, pp. 388–91. Pubmed, doi:10.1038/nm0410-388.
Newgard CB, Attie AD. Getting biological about the genetics of diabetes. Nat Med. 2010 Apr;16(4):388–391.
Published In
Nat Med
DOI
EISSN
1546-170X
Publication Date
April 2010
Volume
16
Issue
4
Start / End Page
388 / 391
Location
United States
Related Subject Headings
- Phenotype
- Oligonucleotide Array Sequence Analysis
- Mice
- Metabolomics
- Immunology
- Humans
- Genotype
- Genome-Wide Association Study
- Genetic Predisposition to Disease
- Disease Models, Animal