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


     


Published online March 15, 2007
Diabetes 56:1577-1585, 2007
DOI: 10.2337/db06-1154
© 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:
db06-1154v1
56/6/1577    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 Iyengar, S. K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Iyengar, S. K.
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Genome-Wide Scans for Diabetic Nephropathy and Albuminuria in Multiethnic Populations

The Family Investigation of Nephropathy and Diabetes (FIND)

Sudha K. Iyengar1, Hanna E. Abboud2, Katrina A.B. Goddard1, Mohammed F. Saad3, Sharon G. Adler4, Nedal H. Arar2, Donald W. Bowden5, Ravi Duggirala2, Robert C. Elston1, Robert L. Hanson6, Eli Ipp4, W.H. Linda Kao7, Paul L. Kimmel8, Michael J. Klag7, William C. Knowler6, Lucy A. Meoni7, Robert G. Nelson6, Susanne B. Nicholas3, Madeleine V. Pahl3, Rulan S. Parekh7, Shannon R.E. Quade1, Stephen S. Rich5, Jerome I. Rotter3, Marina Scavini9, Jeffrey R. Schelling10, John R. Sedor10, Ashwini R. Sehgal10, Vallabh O. Shah9, Michael W. Smith11, Kent D. Taylor3, Cheryl A. Winkler11, Philip G. Zager9, Barry I. Freedman5 on behalf of the Family Investigation of Nephropathy and Diabetes Research Group*

1 FIND-Genetic Analysis and Data Coordinating Center, Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio
2 University of Texas Health Science Center at San Antonio, San Antonio, Texas
3 University of California, Los Angeles, California
4 Harbor-University of California Los Angeles Medical Center, Los Angeles, California
5 Wake Forest University, Winston-Salem, North Carolina
6 National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
7 Johns Hopkins University, Baltimore, Maryland
8 National Institute of Diabetes and Digestive and Kidney Diseases program office, Bethesda, Maryland
9 University of New Mexico, Albuquerque, New Mexico
10 Case Western Reserve University, Cleveland, Ohio
11 Laboratory of Genomic Diversity, National Cancer Institute, Frederick, Maryland

Address correspondence and reprint requests to Dr. Sudha Iyengar, Department of Epidemiology and Biostatistics, Case Western Reserve University, Wolstein Research Building, Room no. 1315, 10900 Euclid Ave., Cleveland, OH 44106-7281. E-mail: ski{at}case.edu

Abbreviations: ACR, albumin-to-creatinine ratio; ESRD, end-stage renal disease; GFR, glomerular filtration rate; IBD, identity-by-descent

The Family Investigation of Nephropathy and Diabetes (FIND) was initiated to map genes underlying susceptibility to diabetic nephropathy. A total of 11 centers participated under a single collection protocol to recruit large numbers of diabetic sibling pairs concordant and discordant for diabetic nephropathy. We report the findings from the first-phase genetic analyses in 1,227 participants from 378 pedigrees of European-American, African-American, Mexican-American, and American Indian descent recruited from eight centers. Model-free linkage analyses, using a dichotomous definition for diabetic nephropathy in 397 sibling pairs, as well as the quantitative trait urinary albumin-to-creatinine ratio (ACR), were performed using the Haseman-Elston linkage test on 404 microsatellite markers. The strongest evidence of linkage to the diabetic nephropathy trait was on chromosomes 7q21.3, 10p15.3, 14q23.1, and 18q22.3. In ACR (883 diabetic sibling pairs), the strongest linkage signals were on chromosomes 2q14.1, 7q21.1, and 15q26.3. These results confirm regions of linkage to diabetic nephropathy on chromosomes 7q, 10p, and 18q from prior reports, making it important that genes underlying these peaks be evaluated for their contribution to nephropathy susceptibility. Large family collections consisting of multiple members with diabetes and advanced nephropathy are likely to accelerate the identification of genes causing diabetic nephropathy, a life-threatening complication of diabetes.


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
H. Kato, H. Si, T. Hostetter, and K. Susztak
Smad1 as a Biomarker for Diabetic Nephropathy
Diabetes, June 1, 2008; 57(6): 1459 - 1460.
[Full Text] [PDF]


Home page
CJASNHome page
B. I. Freedman, M. Bostrom, P. Daeihagh, and D. W. Bowden
Genetic Factors in Diabetic Nephropathy
Clin. J. Am. Soc. Nephrol., November 1, 2007; 2(6): 1306 - 1316.
[Abstract] [Full Text] [PDF]


Home page
DiabetesHome page
S. Puppala, R. Arya, F. Thameem, N. H. Arar, K. Bhandari, D. M. Lehman, J. Schneider, S. Fowler, V. S. Farook, V. P. Diego, et al.
Genotype by Diabetes Interaction Effects on the Detection of Linkage of Glomerular Filtration Rate to a Region on Chromosome 2q in Mexican Americans
Diabetes, November 1, 2007; 56(11): 2818 - 2828.
[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.