Diabetes
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online September 10, 2007
Diabetes 56:3045-3052, 2007
DOI: 10.2337/db07-0462
© 2007 by the American Diabetes Association
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Online-Only Appendix
Right arrow All Versions of this Article:
db07-0462v1
56/12/3045    most recent
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hanson, R. L.
Right arrow Articles by Knowler, W. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hanson, R. L.
Right arrow Articles by Knowler, W. C.
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

A Search for Variants Associated With Young-Onset Type 2 Diabetes in American Indians in a 100K Genotyping Array

Robert L. Hanson1, Clifton Bogardus1, David Duggan2, Sayuko Kobes1, Michele Knowlton2, Aniello M. Infante1, Leslie Marovich2, Deb Benitez2, Leslie J. Baier1, and William C. Knowler1

1 Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
2 Translational Genomics Research Institute, Phoenix, Arizona

Address correspondence and reprint requests to Robert L. Hanson, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 550 E. Indian School Rd., Phoenix, AZ 85014. E-mail: rhanson{at}phx.niddk.nih.gov

Abbreviations: HRR, hazard rate ratio; PAR, population-attributable risk; SNP, single nucleotide polymorphism

OBJECTIVE— To identify genetic variants in linkage disequilibrium with those conferring diabetes susceptibility, a genome-wide association study for young-onset diabetes was conducted in an American-Indian population.

RESEARCH DESIGN AND METHODS— Data come from 300 case subjects with type 2 diabetes with age of onset <25 years and 334 nondiabetic control subjects aged ≥45 years. To provide for tests of within-family association, 121 nondiabetic siblings of case subjects were included along with 140 diabetic siblings of control subjects (172 sibships). Individuals were genotyped on the Affymetrix 100K array, resulting in 80,044 usable single nucleotide polymorphisms (SNPs). SNPs were analyzed for within-family association and for general association in case and control subjects, and these tests were combined by Fisher's method, with priority given to the within-family test.

RESULTS— There were more SNPs with low P values than expected theoretically under the global null hypothesis of no association, and 128 SNPs had evidence for association at P < 0.001. The association of these SNPs with diabetes was further investigated in 1,207 diabetic and 1,627 nondiabetic individuals from the population study who were not included in the genome-wide study. SNPs from 10 genomic regions showed evidence for replication at P < 0.05. These included SNPs on chromosome 3 near ZNF659, chromosome 11 near FANCF, chromosome 11 near ZBTB15, and chromosome 12 near SENP1.

CONCLUSIONS— These studies suggest several regions where marker alleles are potentially in linkage disequilibrium with variants that confer susceptibility to young-onset type 2 diabetes in American Indians.


Add to CiteULike CiteULike   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
DiabetesHome page
K. D. Taylor, J. M. Norris, and J. I. Rotter
Genome-Wide Association: Which Do You Want First: the Good News, the Bad News, or the Good News?
Diabetes, December 1, 2007; 56(12): 2844 - 2848.
[Full Text] [PDF]


Home page
DiabetesHome page
E. Rampersaud, C. M. Damcott, M. Fu, H. Shen, P. McArdle, X. Shi, J. Shelton, J. Yin, Y.-P. C. Chang, S. H. Ott, et al.
Identification of Novel Candidate Genes for Type 2 Diabetes From a Genome-Wide Association Scan in the Old Order Amish: Evidence for Replication From Diabetes-Related Quantitative Traits and From Independent Populations
Diabetes, December 1, 2007; 56(12): 3053 - 3062.
[Abstract] [Full Text] [PDF]


Home page
DiabetesHome page
M. G. Hayes, A. Pluzhnikov, K. Miyake, Y. Sun, M. C.Y. Ng, C. A. Roe, J. E. Below, R. I. Nicolae, A. Konkashbaev, G. I. Bell, et al.
Identification of Type 2 Diabetes Genes in Mexican Americans Through Genome-Wide Association Studies
Diabetes, December 1, 2007; 56(12): 3033 - 3044.
[Abstract] [Full Text] [PDF]


Home page
DiabetesHome page
J. C. Florez, A. K. Manning, J. Dupuis, J. McAteer, K. Irenze, L. Gianniny, D. B. Mirel, C. S. Fox, L. A. Cupples, and J. B. Meigs
A 100K Genome-Wide Association Scan for Diabetes and Related Traits in the Framingham Heart Study: Replication and Integration With Other Genome-Wide Datasets
Diabetes, December 1, 2007; 56(12): 3063 - 3074.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Diabetes Diabetes Care Clinical Diabetes Diabetes Spectrum
Copyright © 2007 by the American Diabetes Association.