Fasting Insulin and Obesity-Related Phenotypes Are Linked to Chromosome 2p
The Strong Heart Family Study
Vincent P. Diego1, Harald H.H. Göring1, Shelley A. Cole1, Laura Almasy1, Thomas D. Dyer1, John Blangero1, Ravindranath Duggirala1, Sandra Laston1, Charlotte Wenger1, Teresa Cantu1, Bennett Dyke1, Kari North2, Theodore Schurr3, Lyle G. Best4, Richard B. Devereux5, Richard R. Fabsitz6, Barbara V. Howard7, and Jean W. MacCluer1
1 Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas
2 Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
3 Department of Anthropology, University of Pennsylvania, Philadelphia, Pennsylvania
4 Missouri Breaks Industries Research, Timber Lake, South Dakota
5 Cornell University Medical Center, New York, New York
6 National Heart, Lung, and Blood Institute, Bethesda, Maryland
7 MedStar Research Institute, Hyattsville, Maryland
Address correspondence and reprint requests to Vincent P. Diego, PhD, Southwest Foundation for Biomedical Research, Department of Genetics, PO Box 760549, San Antonio, TX 78245-0549. E-mail: vdiego@darwin.sfbr.org
LOD, logarithm of odds; QTL, quantitative trait locus; SHFS, Strong Heart Family Study; SHS, Strong Heart Study
To localize quantitative trait loci for insulin metabolism and obesity, genome scans/linkage analyses were performed on >900 members of 32 extended families participating in phase 3 of the Strong Heart Study, an investigation of the genetic and environmental determinants of cardiovascular disease in American-Indian populations from Arizona, Oklahoma, and North and South Dakota. Linkage analyses of fasting insulin and two obesity-related phenotypes, BMI and percent fat mass, were performed independently in each of the three populations. For log fasting insulin, we found a genome-wide maximum, robust logarithm of odds (LOD) score of 3.42 at 51 cM on chromosome 2p in the Dakotas. Bivariate linkage analyses of log fasting insulin with both BMI and fat mass indicate a situation of incomplete pleiotropy, as well as several significant bivariate LOD scores in the Dakotas.
2006-09-20 06:34:18
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answer #2
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answered by Taylor 3
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