151
|
Ghosh S, Watanabe RM, Valle TT, Hauser ER, Magnuson VL, Langefeld CD, Ally DS, Mohlke KL, Silander K, Kohtamäki K, Chines P, Balow, Jr. J, Birznieks G, Chang J, Eldridge W, Erdos MR, Karanjawala ZE, Knapp JI, Kudelko K, Martin C, Morales-Mena A, Musick A, Musick T, Pfahl C, Porter R, Rayman JB, Rha D, Segal L, Shapiro S, Sharaf R, Shurtleff B, So A, Tannenbaum J, Te C, Tovar J, Unni A, Welch C, Whiten R, Witt A, Blaschak-Harvan J, Douglas JA, Duren WL, Epstein MP, Fingerlin TE, Kaleta HS, Lange EM, Li C, McEachin RC, Stringham HM, Trager E, White PP, Eriksson J, Toivanen L, Vidgren G, Nylund SJ, Tuomilehto-Wolf E, Ross EH, Demirchyan E, Hagopian WA, Buchanan TA, Tuomilehto J, Bergman RN, Collins FS, Boehnke M. The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. I. An autosomal genome scan for genes that predispose to type 2 diabetes. Am J Hum Genet 2000; 67:1174-85. [PMID: 11032783 PMCID: PMC1288560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2000] [Accepted: 08/17/2000] [Indexed: 02/17/2023] Open
Abstract
We performed a genome scan at an average resolution of 8 cM in 719 Finnish sib pairs with type 2 diabetes. Our strongest results are for chromosome 20, where we observe a weighted maximum LOD score (MLS) of 2.15 at map position 69.5 cM from pter and secondary weighted LOD-score peaks of 2.04 at 56.5 cM and 1.99 at 17.5 cM. Our next largest MLS is for chromosome 11 (MLS = 1.75 at 84.0 cM), followed by chromosomes 2 (MLS = 0.87 at 5.5 cM), 10 (MLS = 0.77 at 75.0 cM), and 6 (MLS = 0.61 at 112.5 cM), all under an additive model. When we condition on chromosome 2 at 8.5 cM, the MLS for chromosome 20 increases to 5.50 at 69.0 cM (P=.0014). An ordered-subsets analysis based on families with high or low diabetes-related quantitative traits yielded results that support the possible existence of disease-predisposing genes on chromosomes 6 and 10. Genomewide linkage-disequilibrium analysis using microsatellite marker data revealed strong evidence of association for D22S423 (P=.00007). Further analyses are being carried out to confirm and to refine the location of these putative diabetes-predisposing genes.
Collapse
Affiliation(s)
- Soumitra Ghosh
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Richard M. Watanabe
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Timo T. Valle
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Elizabeth R. Hauser
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Victoria L. Magnuson
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Carl D. Langefeld
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Delphine S. Ally
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Karen L. Mohlke
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Kaisa Silander
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Kimmo Kohtamäki
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Peter Chines
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - James Balow, Jr.
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Gunther Birznieks
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Jennie Chang
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - William Eldridge
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Michael R. Erdos
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Zarir E. Karanjawala
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Julie I. Knapp
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Kristina Kudelko
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Colin Martin
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Anabelle Morales-Mena
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Anjene Musick
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Tiffany Musick
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Carrie Pfahl
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Rachel Porter
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Joseph B. Rayman
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - David Rha
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Leonid Segal
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Shane Shapiro
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Ravi Sharaf
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Ben Shurtleff
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Alistair So
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Joyce Tannenbaum
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Catherine Te
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Jason Tovar
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Arun Unni
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Christian Welch
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Ray Whiten
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Alyson Witt
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Jillian Blaschak-Harvan
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Julie A. Douglas
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - William L. Duren
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Michael P. Epstein
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Tasha E. Fingerlin
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Hong Shi Kaleta
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Ethan M. Lange
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Chun Li
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Richard C. McEachin
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Heather M. Stringham
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Edward Trager
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Peggy P. White
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Johan Eriksson
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Liisa Toivanen
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Gabriele Vidgren
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Stella J. Nylund
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Eva Tuomilehto-Wolf
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Edna H. Ross
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Elza Demirchyan
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - William A. Hagopian
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Thomas A. Buchanan
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Jaakko Tuomilehto
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Richard N. Bergman
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Francis S. Collins
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Michael Boehnke
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| |
Collapse
|
152
|
The Finland–United States Investigation of Non–Insulin-Dependent Diabetes Mellitus Genetics (FUSION) Study. II. An Autosomal Genome Scan for Diabetes-Related Quantitative-Trait Loci. Am J Hum Genet 2000. [DOI: 10.1016/s0002-9297(07)62949-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
|
153
|
Watanabe RM, Ghosh S, Langefeld CD, Valle TT, Hauser ER, Magnuson VL, Mohlke KL, Silander K, Ally DS, Chines P, Blaschak-Harvan J, Douglas JA, Duren WL, Epstein MP, Fingerlin TE, Kaleta HS, Lange EM, Li C, McEachin RC, Stringham HM, Trager E, White PP, Balow, Jr. J, Birznieks G, Chang J, Eldridge W, Erdos MR, Karanjawala ZE, Knapp JI, Kudelko K, Martin C, Morales-Mena A, Musick A, Musick T, Pfahl C, Porter R, Rayman JB, Rha D, Segal L, Shapiro S, Sharaf R, Shurtleff B, So A, Tannenbaum J, Te C, Tovar J, Unni A, Welch C, Whiten R, Witt A, Kohtamäki K, Ehnholm C, Eriksson J, Toivanen L, Vidgren G, Nylund SJ, Tuomilehto-Wolf E, Ross EH, Demirchyan E, Hagopian WA, Buchanan TA, Tuomilehto J, Bergman RN, Collins FS, Boehnke M. The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. II. An autosomal genome scan for diabetes-related quantitative-trait loci. Am J Hum Genet 2000; 67:1186-200. [PMID: 11032784 PMCID: PMC1288561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2000] [Accepted: 08/17/2000] [Indexed: 02/17/2023] Open
Abstract
Type 2 diabetes mellitus is a complex disorder encompassing multiple metabolic defects. We report results from an autosomal genome scan for type 2 diabetes-related quantitative traits in 580 Finnish families ascertained for an affected sibling pair and analyzed by the variance components-based quantitative-trait locus (QTL) linkage approach. We analyzed diabetic and nondiabetic subjects separately, because of the possible impact of disease on the traits of interest. In diabetic individuals, our strongest results were observed on chromosomes 3 (fasting C-peptide/glucose: maximum LOD score [MLS] = 3.13 at 53.0 cM) and 13 (body-mass index: MLS = 3.28 at 5.0 cM). In nondiabetic individuals, the strongest results were observed on chromosomes 10 (acute insulin response: MLS = 3.11 at 21.0 cM), 13 (2-h insulin: MLS = 2.86 at 65.5 cM), and 17 (fasting insulin/glucose ratio: MLS = 3.20 at 9.0 cM). In several cases, there was evidence for overlapping signals between diabetic and nondiabetic individuals; therefore we performed joint analyses. In these joint analyses, we observed strong signals for chromosomes 3 (body-mass index: MLS = 3.43 at 59.5 cM), 17 (empirical insulin-resistance index: MLS = 3.61 at 0.0 cM), and 19 (empirical insulin-resistance index: MLS = 2.80 at 74.5 cM). Integrating genome-scan results from the companion article by Ghosh et al., we identify several regions that may harbor susceptibility genes for type 2 diabetes in the Finnish population.
Collapse
Affiliation(s)
- Richard M. Watanabe
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Soumitra Ghosh
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Carl D. Langefeld
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Timo T. Valle
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Elizabeth R. Hauser
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Victoria L. Magnuson
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Karen L. Mohlke
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Kaisa Silander
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Delphine S. Ally
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Peter Chines
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Jillian Blaschak-Harvan
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Julie A. Douglas
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - William L. Duren
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Michael P. Epstein
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Tasha E. Fingerlin
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Hong Shi Kaleta
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Ethan M. Lange
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Chun Li
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Richard C. McEachin
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Heather M. Stringham
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Edward Trager
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Peggy P. White
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - James Balow, Jr.
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Gunther Birznieks
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Jennie Chang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - William Eldridge
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Michael R. Erdos
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Zarir E. Karanjawala
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Julie I. Knapp
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Kristina Kudelko
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Colin Martin
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Anabelle Morales-Mena
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Anjene Musick
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Tiffany Musick
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Carrie Pfahl
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Rachel Porter
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Joseph B. Rayman
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - David Rha
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Leonid Segal
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Shane Shapiro
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Ravi Sharaf
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Ben Shurtleff
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Alistair So
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Joyce Tannenbaum
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Catherine Te
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Jason Tovar
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Arun Unni
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Christian Welch
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Ray Whiten
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Alyson Witt
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Kimmo Kohtamäki
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Christian Ehnholm
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Johan Eriksson
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Liisa Toivanen
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Gabriele Vidgren
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Stella J. Nylund
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Eva Tuomilehto-Wolf
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Edna H. Ross
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Elza Demirchyan
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - William A. Hagopian
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Thomas A. Buchanan
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Jaakko Tuomilehto
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Richard N. Bergman
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Francis S. Collins
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| | - Michael Boehnke
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor; Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda; Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Department of Physiology and Biophysics and Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles; and Department of Medicine, University of Washington, Seattle
| |
Collapse
|
154
|
Evans D, Minouchehr S, Hagemann G, Mann WA, Wendt D, Wolf A, Beisiegel U. Frequency of and interaction between polymorphisms in the beta3-adrenergic receptor and in uncoupling proteins 1 and 2 and obesity in Germans. Int J Obes (Lond) 2000; 24:1239-45. [PMID: 11093283 DOI: 10.1038/sj.ijo.0801402] [Citation(s) in RCA: 56] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To determine the role of polymorphisms in the genes for beta3-adrenergic receptor (beta3-AR) and in uncoupling proteins 1 and 2 (UCP-1, UCP-2) in obesity. DESIGN Association study with three polymorphisms and obesity. SUBJECTS Two hundred and thirty-six morbidly obese patients who underwent gastric banding surgery, 381 patients from the medical clinic and 198 healthy blood donors. MEASUREMENTS The frequencies of the W64R in beta3-AR, the 3826A-->G in UCP-1 and the 45bp insertion in the 3 untranslated region of exon 8 in UCP-2 polymorphisms were determined. RESULTS There were no significant differences in the frequencies of the beta3-AR and UCP-1 polymorphisms between obese (body mass index, BMI > 30 kg/m2) and lean subjects. Lean, but not obese, carriers of the R allele of beta3-AR had a significantly higher BMI. The mean age of obese subjects (excluding diabetics) who were carriers of the G allele of the UCP-1 polymorphism, 36y, was significantly younger than wild-type, 40y (P= 0.007). This effect was not seen in lean subjects. The effect of the G allele on the mean age of obese subjects was more apparent in subjects who were also carriers of the R allele of the beta3-AR polymorphism. The frequency of the ins allele of UCP-2 was significantly higher in obese subjects, 0.31, than in lean, 0.24 (P= 0.002) and carriers of the ins allele had a significantly higher BMI, 38 vs 35 (P= 0.005). There was no association between any of the polymorphisms and type II diabetes. CONCLUSION In a German population, there was no association between the W64R in beta3-AR or the 3826A-->G in UCP-1 polymorphisms and obesity. However, they act synergistically to accelerate the development of obesity. The 45bp insertion in the 3 untranslated region of exon 8 in UCP-2 polymorphism is associated with obesity.
Collapse
Affiliation(s)
- D Evans
- Medizinische Klinik, Universitätskrankenhaus Eppendorf, Hamburg, Germany.
| | | | | | | | | | | | | |
Collapse
|
155
|
Baier LJ, Permana PA, Yang X, Pratley RE, Hanson RL, Shen GQ, Mott D, Knowler WC, Cox NJ, Horikawa Y, Oda N, Bell GI, Bogardus C. A calpain-10 gene polymorphism is associated with reduced muscle mRNA levels and insulin resistance. J Clin Invest 2000; 106:R69-73. [PMID: 11018080 PMCID: PMC387246 DOI: 10.1172/jci10665] [Citation(s) in RCA: 204] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Previous linkage studies in Mexican-Americans localized a major susceptibility locus for type 2 diabetes, NIDDM1, to chromosome 2q. This evidence for linkage to type 2 diabetes was recently found to be associated with a common G-->A polymorphism (UCSNP-43) within the CAPN10 gene. The at-risk genotype was homozygous for the UCSNP-43 G allele. In the present study among Pima Indians, the UCSNP-43 G/G genotype was not associated with an increased prevalence of type 2 diabetes. However, Pima Indians with normal glucose tolerance, who have a G/G genotype at UCSNP-43, were found to have decreased rates of postabsorptive and insulin-stimulated glucose turnover that appear to result from decreased rates of glucose oxidation. In addition, G/G homozygotes were found to have reduced CAPN10 mRNA expression in their skeletal muscle. A decreased rate of insulin-mediated glucose turnover, or insulin resistance, is one mechanism by which the polymorphism in CAPN10 may increase susceptibility to type 2 diabetes mellitus in older persons.
Collapse
Affiliation(s)
- L J Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, Arizona 85016, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
156
|
Delépine M, Nicolino M, Barrett T, Golamaully M, Lathrop GM, Julier C. EIF2AK3, encoding translation initiation factor 2-alpha kinase 3, is mutated in patients with Wolcott-Rallison syndrome. Nat Genet 2000; 25:406-9. [PMID: 10932183 DOI: 10.1038/78085] [Citation(s) in RCA: 589] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Wolcott-Rallison syndrome (WRS) is a rare, autosomal recessive disorder characterized by permanent neonatal or early infancy insulin-dependent diabetes. Epiphyseal dysplasia, osteoporosis and growth retardation occur at a later age. Other frequent multisystemic manifestations include hepatic and renal dysfunction, mental retardation and cardiovascular abnormalities. On the basis of two consanguineous families, we mapped WRS to a region of less than 3 cM on chromosome 2p12, with maximal evidence of linkage and homozygosity at 4 microsatellite markers within an interval of approximately 1 cM. The gene encoding the eukaryotic translation initiation factor 2-alpha kinase 3 (EIF2AK3) resides in this interval; thus we explored it as a candidate. We identified distinct mutations of EIF2AK3 that segregated with the disorder in each of the families. The first mutation produces a truncated protein in which the entire catalytic domain is missing. The other changes an amino acid, located in the catalytic domain of the protein, that is highly conserved among kinases from the same subfamily. Our results provide evidence for the role of EIF2AK3 in WRS. The identification of this gene may provide insight into the understanding of the more common forms of diabetes and other pathologic manifestations of WRS.
Collapse
Affiliation(s)
- M Delépine
- Centre National de Génotypage, Evry, France
| | | | | | | | | | | |
Collapse
|
157
|
Yanovski JA, Diament AL, Sovik KN, Nguyen TT, Li H, Sebring NG, Warden CH. Associations between uncoupling protein 2, body composition, and resting energy expenditure in lean and obese African American, white, and Asian children. Am J Clin Nutr 2000; 71:1405-20. [PMID: 10837279 PMCID: PMC4495659 DOI: 10.1093/ajcn/71.6.1405] [Citation(s) in RCA: 69] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Little is known about genes that affect childhood body weight. OBJECTIVE The objective of this study was to examine the association between alleles of the mitochondrial uncoupling protein 2 (UCP2) gene and obesity because UCP2 may influence energy expenditure. DESIGN We related UCP2 genotype to body composition and resting energy expenditure in 105 children aged 6-10 y. Overweight children and nonoverweight children of overweight parents were genotyped for a 45-base pair deletion/insertion (del/ins) in 3'-untranslated region of exon 8 and for an exon 4 C to T transition. RESULTS Eighty-nine children were genotyped for the exon 8 allele: 50 children had del/del, 33 had del/ins, and 6 had ins/ins. Mean (+/-SD) body mass index (BMI; in kg/m(2)) was greater for children with del/ins (24.1 +/- 5.9) than for children with del/del (20.4 +/- 4.8; P < 0.001). BMI of ins/ins children (23.7 +/- 7.8) was not significantly different from that of del/ins children. A greater BMI in del/ins children was independent of race and sex. Body composition was also different according to UCP2 genotype. All body circumferences and skinfold thicknesses examined were significantly greater in del/ins than in del/del children. Body fat mass as determined by dual-energy X-ray absorptiometry was also greater in del/ins than in del/del children (P < 0.005). For 104 children genotyped at exon 4, no significant differences in BMI or body composition were found among the 3 exon 4 genotypes. Neither resting energy expenditure nor respiratory quotient were different according to UCP2 exon 4 or exon 8 genotype. CONCLUSIONS The exon 8 ins/del polymorphism of UCP2 appears to be associated with childhood-onset obesity. The UCP2/UCP3 genetic locus may play a role in childhood body weight.
Collapse
Affiliation(s)
- J A Yanovski
- Unit on Growth and Obesity, Developmental Endocrinology Branch, National Institute of Child Health and Human Development, NIH, Bethesda, MD 20892-1862, USA.
| | | | | | | | | | | | | |
Collapse
|
158
|
Hong Y, Després JP, Rice T, Nadeau A, Province MA, Gagnon J, Leon AS, Skinner JS, Wilmore JH, Bouchard C, Rao DC. Evidence of pleiotropic loci for fasting insulin, total fat mass, and abdominal visceral fat in a sedentary population: the HERITAGE family study. OBESITY RESEARCH 2000; 8:151-9. [PMID: 10757201 DOI: 10.1038/oby.2000.16] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To examine whether there is a major gene effect on fasting insulin and pleiotropic loci for fasting insulin, total fat mass (FM), and abdominal visceral fat (AVF). RESEARCH METHODS AND PROCEDURES A major gene hypothesis for fasting plasma insulin levels was assessed using segregation analyses of data on 495 members in 98 normolipidemic sedentary families of white descent who participated in the HERITAGE Family Study. RESULTS Segregation analyses were performed on insulin adjusted for age, on insulin adjusted for age and FM, and on insulin adjusted for age and AVF. Before adjustment for AVF and FM, a major gene effect on fasting insulin levels was indicated. The putative locus accounted for 54% of the variance under a recessive inheritance pattern, affecting 11% of the sample (i.e., allele frequency = 0.33). However, after adjusting for the effects of AVF or FM, neither a major effect alone nor a multifactorial component alone could be rejected, and support for a major gene was equivocal, i.e., neither the hypothesis of Mendelian tau values or that of the equal tau(s) were rejected and the equal tau model fit the data better than the Mendelian tau model. This pattern (i.e., major gene evidence for insulin before but not after adjustment for AVF or FM) suggests that there is a putative locus with pleiotropic effects on both insulin and FM and another pleiotropic locus for both insulin and AVF. DISCUSSION Although these data do not directly support an additional major gene for insulin independent of AVF and FM, such support cannot be ruled out because there is still a significant major effect on FM- or AVF-adjusted insulin (albeit the Mendelian nature of this effect is ambiguous).
Collapse
Affiliation(s)
- Y Hong
- Division of Biostatistics, Washington University School of Medicine, St Louis, Missouri 63110, USA.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
159
|
Chagnon YC, Borecki IB, Pérusse L, Roy S, Lacaille M, Chagnon M, Ho-Kim MA, Rice T, Province MA, Rao DC, Bouchard C. Genome-wide search for genes related to the fat-free body mass in the Québec family study. Metabolism 2000; 49:203-7. [PMID: 10690945 DOI: 10.1016/s0026-0495(00)91299-x] [Citation(s) in RCA: 91] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Fat-free mass (FFM) consists mostly of skeletal muscle and bone tissues, and identification of the genes and molecular mechanisms involved in the control of FFM would have implications for the understanding of sarcopenia and potentially osteoporesis associated with aging, as well as the response to starvation, refeeding, anorexia, and any other conditions in which lean body mass is important. A genome-wide search for genes related to body leanness has been completed in the Quebec Family Study (QFS). Microsatellite markers (N = 292) from the 22 autosomal chromosomes were typed. The mean spacing of the markers was 11.9 centimorgans (cM) (range, <0.1 to 41). FFM was calculated from percent body fat, derived from underwater weighing, and body weight and was adjusted by regression for age and sex effects before analysis. A maximum of 336 sib pairs or 609 pairs of extended relatives were analyzed using single-point Haseman-Elston regression (SIBPAL and RELPAL) and multipoint variance component (SEGPATH) linkage analyses. Significant linkages were observed on chromosomes 15q25-q26 for a CA repeat within the insulin-like growth factor 1 receptor (IGF1R) gene (Lod score = 3.56) and at 18q12 with D18S877 (Lod score = 3.53) and D18S535 (Lod score = 3.58), 2 markers located 10 cM apart. A moderately significant linkage was also observed on chromosome 7p15.3 with the marker D7S1808 (Lod score = 2.72). The most obvious candidate genes within the regions identified by these linkages include the IGF1R on 15q and neuropeptide Y (NPY) and growth hormone-releasing hormone (GHRH) receptor on 7p. On 18q, the melanocortin receptor 4 (MC4R) is not likely the candidate gene for the observed linkage. This study represents the first genome-wide search for genes that may be involved in the regulation of the lean component of body mass in humans.
Collapse
Affiliation(s)
- Y C Chagnon
- Department of Social and Preventive Medicine, Faculty of Medicine, Laval University, Ste-Foy, Quebec, Canada
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
160
|
Esterbauer H, Oberkofler H, Krempler F, Patsch W. Human peroxisome proliferator activated receptor gamma coactivator 1 (PPARGC1) gene: cDNA sequence, genomic organization, chromosomal localization, and tissue expression. Genomics 1999; 62:98-102. [PMID: 10585775 DOI: 10.1006/geno.1999.5977] [Citation(s) in RCA: 160] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Brown adipose and muscle tissues can increase energy expenditure via adaptive thermogenesis, thereby protecting against obesity. Mouse peroxisome proliferator activated receptor gamma coactivator 1 (Pgc1) has been reported to enhance the expression of uncoupling protein-1, a key mediator of thermogenesis in brown adipose tissue (Puigserver et al., 1998, Cell 92, 829-839). We report here the characterization of the human PPARGC1 gene. PPARGC1 spans a genomic region of approximately 67 kb, is composed of 13 exons, and encodes a 91-kDa protein that exhibits 94% amino acid identity with the mouse ortholog. mRNA species, transcribed from the TATA-less promoter, are 6.4 and 5.3 kb in length due to utilization of two polyadenylation signals. Northern blotting revealed expression of both transcripts in heart, skeletal muscle, and kidney and to a lesser extent in liver, brain, and pancreas as well as in the perirenal adipose tissue of a pheochromocytoma patient. PPARGC1 was mapped to chromosome 4p15.1, a region that has been associated with basal insulin levels in Pima Indians. Hence, PPARGC1 expression might influence insulin sensitivity as well as energy expenditure, thereby contributing to the development and pathophysiology of human obesity.
Collapse
Affiliation(s)
- H Esterbauer
- Department of Laboratory Medicine, Landeskliniken Salzburg, Salzburg, Austria
| | | | | | | |
Collapse
|
161
|
Hani EH, Stoffers DA, Chèvre JC, Durand E, Stanojevic V, Dina C, Habener JF, Froguel P. Defective mutations in the insulin promoter factor-1 (IPF-1) gene in late-onset type 2 diabetes mellitus. J Clin Invest 1999; 104:R41-8. [PMID: 10545531 PMCID: PMC409821 DOI: 10.1172/jci7469] [Citation(s) in RCA: 209] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Type 2 diabetes mellitus is a common disabling disease with onset in middle-aged individuals, caused by an imbalance between insulin production and action. Genetic studies point to major genetic components, but, with the exception of maturity-onset diabetes of the young (MODY), specific diabetes susceptibility genes remain to be identified. Recent studies showed that a dominant negative mutation in the insulin promoter factor-1 (IPF-1), a pancreatic beta-cell specific transcription factor, causes pancreatic agenesis and MODY. Thus, we investigated 192 French, non-MODY type 2 diabetic families for mutations in IPF-1. We identified 3 novel IPF-1 mutations, including 2 substitutions (Q59L and D76N) and an in-frame proline insertion (InsCCG243). Functional transactivation assays of these IPF-1 mutant isoforms in a beta-pancreatic tumor cell line transfected with a transcriptional reporter and IPF-1 expression plasmids demonstrate a significant inhibition of basal insulin promoter activity (stronger with the InsCCG243 mutant). We find that the InsCCG243 mutation is linked, in 2 families, to an autosomal dominant-like late-onset form of type 2 diabetes, in which insulin secretion becomes progressively impaired. The lower penetrance D76N and Q59L mutations were more prevalent and were associated with a relative risk of 12.6 for diabetes and with decreased glucose-stimulated insulin-secretion in nondiabetic subjects. We propose that IPF-1 mutations can cause MODY or apparently monogenic late-onset diabetes and that they represent a significant risk factor for type 2 diabetes in humans.
Collapse
Affiliation(s)
- E H Hani
- Institute of Biology of Lille-CNRS UPRES A8090, Pasteur Institute, 59000 Lille, France
| | | | | | | | | | | | | | | |
Collapse
|
162
|
Allison DB, Neale MC, Zannolli R, Schork NJ, Amos CI, Blangero J. Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure. Am J Hum Genet 1999; 65:531-44. [PMID: 10417295 PMCID: PMC1377951 DOI: 10.1086/302487] [Citation(s) in RCA: 242] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Detection of linkage to genes for quantitative traits remains a challenging task. Recently, variance components (VC) techniques have emerged as among the more powerful of available methods. As often implemented, such techniques require assumptions about the phenotypic distribution. Usually, multivariate normality is assumed. However, several factors may lead to markedly nonnormal phenotypic data, including (a) the presence of a major gene (not necessarily linked to the markers under study), (b) some types of gene x environment interaction, (c) use of a dichotomous phenotype (i.e., affected vs. unaffected), (d) nonnormality of the population within-genotype (residual) distribution, and (e) selective (extreme) sampling. Using simulation, we have investigated, for sib-pair studies, the robustness of the likelihood-ratio test for a VC quantitative-trait locus-detection procedure to violations of normality that are due to these factors. Results showed (a) that some types of nonnormality, such as leptokurtosis, produced type I error rates in excess of the nominal, or alpha, levels whereas others did not; and (b) that the degree of type I error-rate inflation appears to be directly related to the residual sibling correlation. Potential solutions to this problem are discussed. Investigators contemplating use of this VC procedure are encouraged to provide evidence that their trait data are normally distributed, to employ a procedure that allows for nonnormal data, or to consider implementation of permutation tests.
Collapse
Affiliation(s)
- D B Allison
- Obesity Research Center, St. Luke's/Roosevelt Hospital, Columbia University College of Physicians & Surgeons, New York, NY, USA.
| | | | | | | | | | | |
Collapse
|
163
|
Permana PA, Luczy-Bachman G, Bogardus C. Protein targeting to glycogen/PPP1R5: screening of coding and flanking genomic regions for polymorphisms and association analysis with insulin action in Pima Indians. Biochem Biophys Res Commun 1999; 258:184-6. [PMID: 10222257 DOI: 10.1006/bbrc.1999.0614] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Insulin resistance, a major predictor of type 2 diabetes mellitus, is genetically inherited in Pima Indians, a population with a high prevalence of the metabolically complex disease. Protein targeting to glycogen/PPP1R5 has recently been identified as a potential regulator of glycogen synthase, the rate-limiting enzyme of the insulin-induced glycogenesis. The gene is located on chromosome 10q23-24, where there is a suggestive linkage to insulin action in this population, establishing it as a functional and positional candidate gene. In this study, we discovered 2 novel polymorphisms upstream of the 5'UTR of the gene, with only one found in Pima Indians, but no polymorphism in the coding sequence. The genotype frequencies of the polymorphism and transcript levels of the gene in skeletal muscle do not correlate with insulin action in the subjects. These results exclude any significant role of protein targeting to glycogen/PPP1R5 in insulin resistance in Pima Indians.
Collapse
Affiliation(s)
- P A Permana
- Phoenix Epidemiology and Clinical Research Branch, National Institutes of Health, Phoenix, Arizona, 85016, USA.
| | | | | |
Collapse
|
164
|
Abstract
Diagnosing diabetes mellitus by well-defined, objectively established, laboratory criteria is a relatively recent occurrence. Diabetes was not defined by any laboratory criteria until urine glucose could be measured last century. The use of blood tests for glucose did not develop until well into this century. The discovery of insulin, the wider use of the hypodermic syringe for venesection and the development of micro methods for laboratory analysis permitted the development of blood tests in diagnosing diabetes. The use of insulin to keep young diabetic subjects alive, albeit with elevated glucose levels, lead to the discovery of the association of retinopathy and elevated plasma glucose. This lead to efforts to diagnose diabetes in as mild a form as possible using the oral glucose tolerance test, to prevent such complications occurring. Determining what glucose levels were normal or abnormal then became an issue. Studies of the Pima Indians of Arizona eventually lead to objective definitions of diabetes that have been further refined in the past few years. We also now understand how retinopathy and other diabetes complications may develop. It is the glucose itself 'sticking' to proteins (advanced glycosylation end products) that does the damage. The future holds the promise that genetic diagnoses for diabetes and its complications may lead to the total prevention of diabetes and its effects.
Collapse
Affiliation(s)
- Stephen Lillioja
- Diabetes Centre, Liverpool Health Service and The Unviersity of New South Wales, PO Box 103, Liverpool, New South Wales, 2170, Australia
| |
Collapse
|
165
|
Inoue H, Tanizawa Y, Wasson J, Behn P, Kalidas K, Bernal-Mizrachi E, Mueckler M, Marshall H, Donis-Keller H, Crock P, Rogers D, Mikuni M, Kumashiro H, Higashi K, Sobue G, Oka Y, Permutt MA. A gene encoding a transmembrane protein is mutated in patients with diabetes mellitus and optic atrophy (Wolfram syndrome). Nat Genet 1998; 20:143-8. [PMID: 9771706 DOI: 10.1038/2441] [Citation(s) in RCA: 525] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Wolfram syndrome (WFS; OMIM 222300) is an autosomal recessive neurodegenerative disorder defined by young-onset non-immune insulin-dependent diabetes mellitus and progressive optic atrophy. Linkage to markers on chromosome 4p was confirmed in five families. On the basis of meiotic recombinants and disease-associated haplotypes, the WFS gene was localized to a BAC/P1 contig of less than 250 kb. Mutations in a novel gene (WFS1) encoding a putative transmembrane protein were found in all affected individuals in six WFS families, and these mutations were associated with the disease phenotype. WFS1 appears to function in survival of islet beta-cells and neurons.
Collapse
Affiliation(s)
- H Inoue
- Third Department of Internal Medicine, Yamaguchi University School of Medicine, Ube, Japan
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
166
|
Hanson RL, Ehm MG, Pettitt DJ, Prochazka M, Thompson DB, Timberlake D, Foroud T, Kobes S, Baier L, Burns DK, Almasy L, Blangero J, Garvey WT, Bennett PH, Knowler WC. An autosomal genomic scan for loci linked to type II diabetes mellitus and body-mass index in Pima Indians. Am J Hum Genet 1998; 63:1130-8. [PMID: 9758619 PMCID: PMC1377493 DOI: 10.1086/302061] [Citation(s) in RCA: 382] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Genetic factors influence the development of type II diabetes mellitus, but genetic loci for the most common forms of diabetes have not been identified. A genomic scan was conducted to identify loci linked to diabetes and body-mass index (BMI) in Pima Indians, a Native American population with a high prevalence of type II diabetes. Among 264 nuclear families containing 966 siblings, 516 autosomal markers with a median distance between adjacent markers of 6.4 cM were genotyped. Variance-components methods were used to test for linkage with an age-adjusted diabetes score and with BMI. In multipoint analyses, the strongest evidence for linkage with age-adjusted diabetes (LOD = 1.7) was on chromosome 11q, in the region that was also linked most strongly with BMI (LOD = 3.6). Bivariate linkage analyses strongly rejected both the null hypothesis of no linkage with either trait and the null hypothesis of no contribution of the locus to the covariation among the two traits. Sib-pair analyses suggest additional potential diabetes-susceptibility loci on chromosomes 1q and 7q.
Collapse
Affiliation(s)
- R L Hanson
- Phoenix epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|