| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Human Genomics Laboratory, Pennington Biomedical Research Center (R.J.F.L., T.R., C.B.), Baton Rouge, Louisiana 70808; School of Physical and Health Education and Department of Community Health and Epidemiology, Queens University (P.T.K.), Kingston, Ontario, Canada; Division of Biostatistics (D.C.R., T.R.), and Departments of Genetics and Psychiatry (D.C.R.), Washington University School of Medicine, St. Louis, Missouri 63110; School of Kinesiology University of Minnesota (A.S.L.), Minneapolis, Minnesota 55455; Department of Kinesiology, Indiana University (J.S.S.), Bloomington, Indiana 47405; and Department of Health and Kinesiology, Texas A&M University (J.H.W.), College Station, Texas 77845
Address all correspondence and requests for reprints to: Claude Bouchard, Ph.D., Pennington Biomedical Research Center, Human Genomics Laboratory, 6400 Perkins Road, Baton Rouge, Louisiana 70808. E-mail: bouchac{at}pbrc.edu.
The metabolic syndrome involves multiple and interactive effects of genes and environmental factors. To identify chromosomal regions encoding genes possibly predisposing to the metabolic syndrome, we performed a genome-wide scan with 456 white and 217 black participants from 204 nuclear families of the HERITAGE Family Study, using regression-based, single- and multipoint linkage analyses on 509 markers. A principal component analysis was performed on 7 metabolic syndrome-related phenotypes. Two principal components, PC1 and PC2 (55% of the variance), were used as metabolic syndrome phenotypes. ANOVA was used to quantify the familial aggregation of PC1 and PC2. Family membership contributed significantly (P < 0.0023) to the variance in PC1 (r2 = 0.38 in whites; r2 = 0.55 in blacks) and PC2 (r2 = 0.51; r2 = 0.48). In whites, promising evidence for linkage (P < 0.0023) was found for PC1 (2 markers on 10p11.2) and PC2 (a marker on 19q13.4). Suggestive evidence of linkage (0.01 > P > 0.0023) appeared for PC1 (1q41 and 9p13.1) and PC2 (2p22.3). In blacks, promising linkage was found for PC2 on 1p34.1, and suggestive linkage was found on 7q31.3 and 9q21.1. The genome-wide scan revealed evidence for quantitative trait loci on chromosomal regions that have been previously linked with individual cardiovascular disease and type 2 diabetes risk factors. Some of these chromosomal regions harbor promising potential candidate genes.
The HERITAGE Family Study is supported by the NHLBI through Grants HL-45670 (to C.B.), HL-47323 (to A.S.L.), HL-47317 (to D.C.R.), HL-47327 (to J.S.S.), and HL-47321 (to J.H.W.). A.S.L. is partially supported by the Henry L. Taylor Endowed Professorship in Exercise and Health Enhancement. C.B. is partially supported by the George A. Bray Chair in Nutrition. R.J.S.L. is supported by a postdoctoral fellowship from the American Heart Association, Southeast affiliate (no. 0325355B). Blood drawing for lipids and iv glucose tolerance tests performed at the Clinical Center of the University of Minnesota were supported by NIH Grant MO1-RR-000400. The results of this paper were obtained using the program package S.A.G.E., which is supported by USPHS Resource Grant 1P41-RR-03655 from the National Center for Research Resources.
Abbreviations: AVF, Abdominal visceral fat; %BF, percent body fat; BMI, body mass index; HDL-C, high density lipoprotein cholesterol; IBD, identical by descent; LDL-C, low density lipoprotein cholesterol; MAP, mean arterial blood pressure; PC1, first principal component; PC2, second principal component; POMC, proopiomelanocortin; QTL, quantitative trait locus; TG, triglycerides.
This article has been cited by other articles:
![]() |
K. D. DuBose, J. C. Eisenmann, and J. E. Donnelly Aerobic Fitness Attenuates the Metabolic Syndrome Score in Normal-Weight, at-Risk-for-Overweight, and Overweight Children Pediatrics, November 1, 2007; 120(5): e1262 - e1268. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Sookoian and C. J. Pirola Review: Genetics of the cardiometabolic syndrome: new insights and therapeutic implications Therapeutic Advances in Cardiovascular Disease, October 1, 2007; 1(1): 37 - 47. [Abstract] [PDF] |
||||
![]() |
A. L. T. Uusitalo, E. Vanninen, E. Levalahti, M. C. Battie, T. Videman, and J. Kaprio Role of genetic and environmental influences on heart rate variability in middle-aged men Am J Physiol Heart Circ Physiol, August 1, 2007; 293(2): H1013 - H1022. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Prudente, E. Flex, E. Morini, F. Turchi, D. Capponi, S. De Cosmo, V. Tassi, V. Guida, A. Avogaro, F. Folli, et al. A Functional Variant of the Adipocyte Glycerol Channel Aquaporin 7 Gene Is Associated With Obesity and Related Metabolic Abnormalities Diabetes, May 1, 2007; 56(5): 1468 - 1474. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. M. Clee and A. D. Attie The Genetic Landscape of Type 2 Diabetes in Mice Endocr. Rev., February 1, 2007; 28(1): 48 - 83. [Abstract] [Full Text] [PDF] |
||||
![]() |
O. Seda, F. Liska, D. Krenova, L. Kazdova, L. Sedova, T. Zima, J. Peng, K. Pelinkova, J. Tremblay, P. Hamet, et al. Dynamic genetic architecture of metabolic syndrome attributes in the rat Physiol Genomics, April 14, 2005; 21(2): 243 - 252. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. An, B. I. Freedman, C. L. Hanis, Y.-D. I. Chen, A. B. Weder, N. J. Schork, E. Boerwinkle, M. A. Province, C. A. Hsiung, X. Wu, et al. Genome-wide Linkage Scans for Fasting Glucose, Insulin, and Insulin Resistance in the National Heart, Lung, and Blood Institute Family Blood Pressure Program: Evidence of Linkages to Chromosome 7q36 and 19q13 From Meta-Analysis Diabetes, March 1, 2005; 54(3): 909 - 914. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. B. Seidelmann, C. De Luca, R. L. Leibel, J. L. Breslow, A. R. Tall, and C. L. Welch Quantitative Trait Locus Mapping of Genetic Modifiers of Metabolic Syndrome and Atherosclerosis in Low-Density Lipoprotein Receptor-Deficient Mice: Identification of a Locus for Metabolic Syndrome and Increased Atherosclerosis on Chromosome 4 Arterioscler. Thromb. Vasc. Biol., January 1, 2005; 25(1): 204 - 210. [Abstract] [Full Text] [PDF] |
||||
![]() |
U. Salmenniemi, E. Ruotsalainen, J. Pihlajamaki, I. Vauhkonen, S. Kainulainen, K. Punnonen, E. Vanninen, and M. Laakso Multiple Abnormalities in Glucose and Energy Metabolism and Coordinated Changes in Levels of Adiponectin, Cytokines, and Adhesion Molecules in Subjects With Metabolic Syndrome Circulation, December 21, 2004; 110(25): 3842 - 3848. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. Cai, S. A Cole, R. A Bastarrachea-Sosa, J. W MacCluer, J. Blangero, and A. G Comuzzie Quantitative trait locus determining dietary macronutrient intakes is located on human chromosome 2p22 Am. J. Clinical Nutrition, November 1, 2004; 80(5): 1410 - 1414. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. C.Y. Ng, W.-Y. So, V. K.L. Lam, C. S. Cockram, G. I. Bell, N. J. Cox, and J. C.N. Chan Genome-wide Scan for Metabolic Syndrome and Related Quantitative Traits in Hong Kong Chinese and Confirmation of a Susceptibility Locus on Chromosome 1q21-q25 Diabetes, October 1, 2004; 53(10): 2676 - 2683. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Endocrinology | Endocrine Reviews | J. Clin. End. & Metab. |
| Molecular Endocrinology | Recent Prog. Horm. Res. | All Endocrine Journals |