Donate Help Contact The AHA Sign In Home
American Heart Association
Hypertension
Search: search_blue_button Advanced Search
Hypertension. 2005;46:751-757
Published online before print September 19, 2005, doi: 10.1161/01.HYP.0000184249.20016.bb
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Data Supplement
Right arrow All Versions of this Article:
46/4/751    most recent
01.HYP.0000184249.20016.bbv1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kraja, A. T.
Right arrow Articles by Province, M. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kraja, A. T.
Right arrow Articles by Province, M. A.
Right arrowPubmed/NCBI databases
*UniSTS
*Compound via MeSH
*Substance via MeSH
Medline Plus Health Information
*Metabolic Syndrome
Related Collections
Right arrow ACE/Angiotension receptors
Right arrow Other hypertension

(Hypertension. 2005;46:751.)
© 2005 American Heart Association, Inc.


Original Articles

Two Major QTLs and Several Others Relate to Factors of Metabolic Syndrome in the Family Blood Pressure Program

Aldi T. Kraja; Dabeeru C. Rao; Alan B. Weder; Richard Cooper; J. David Curb; Craig L. Hanis; Stephen T. Turner; Mariza de Andrade; Chao Agnes Hsiung; Thomas Quertermous; Xiaofeng Zhu; Michael A. Province

From the Division of Biostatistics (A.T.K., D.C.R., M.A.P.), Washington University School of Medicine, St. Louis, Mo; University of Michigan Hospitals (A.B.W.), Ann Arbor, Mich; Loyola University Medical Center (R.C., X.Z.), Maywood, Ill; Pacific Health Research Institute (J.D.C.), Honolulu, Hi; Human Genetics Center (C.L.H.), University of Texas-Houston Health Science Center, Houston, Tex; Mayo Clinic (S.T.T.), College of Medicine, Rochester, Minn; Mayo Clinic (M.d.A.), Division of Biostatistics, Rochester, Minn; National Health Research Institutes (C.A.H.), Division of Biostatistics, Taipei, Taiwan; Stanford University School of Medicine (T.Q.), Stanford, Calif.

Correspondence to Aldi Kraja, DSc, PhD, Division of Biostatistics, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63123. E-mail aldi{at}wustl.edu

Genome-wide variance components linkage analysis was performed on 4 latent factors underlying metabolic syndrome derived from 10 risk factors. The latent factors represent obesity and insulin, blood pressure, lipids and insulin, and central obesity. The metabolic syndrome factor scores were derived in 4 ethnic groups recruited in 3 Networks of the Family Blood Pressure Program: GENOA (blacks, Hispanics, and whites), HyperGEN (blacks and whites), SAPPHIRe (Asians). Heritabilities of metabolic syndrome factors ranged from 66% for obesity and insulin to 11% for blood pressure factor. We observed higher heritabilities for obesity and insulin, and lipids and insulin, whereas those for blood pressure and central obesity were smaller. Linkage analysis detected two major quantitative trait loci. One of them linked to the obesity and insulin factor with a lod score of 3.94 (P=0.00001, marker GATA11A06, D18S53, 41.24 cM) at marker positions linkage (lod 4.71, at 46.84 cM at 1-cM-apart distances linkage), located on chromosome 18p11.21 in GENOA black. The other linked to the blood pressure factor with a lod score of 3.22 (P=0.000059, marker GATA49C09, D17S1290, 82 cM) at marker positions linkage (lod 3.56, at 84.63 cM for 1 cM apart distances linkage) located on chromosome 17q23.1 in Hispanics. These quantitative trait loci, together with 4 additional ones with lod scores >2.5, and 30 additional ones with lod score >1.7, offer hope for dissecting the genetic architecture of metabolic syndrome with beneficial implications for molecular diagnosis, prognosis, and in potential medical intervention.


Key Words: blood pressure • insulin • lipids • metabolic syndrome • obesity




This article has been cited by other articles:


Home page
DiabetesHome page
M. Falchi, S. G. Wilson, D. Paximadas, R. Swaminathan, and T. D. Spector
Quantitative Linkage Analysis for Pancreatic B-cell Function and Insulin Resistance in a Large Twin Cohort
Diabetes, April 1, 2008; 57(4): 1120 - 1124.
[Abstract] [Full Text] [PDF]


Home page
J. Med. Genet.Home page
Y Yamada, S Ichihara, K Kato, T Yoshida, K Yokoi, H Matsuo, S Watanabe, N Metoki, H Yoshida, K Satoh, et al.
Genetic risk for metabolic syndrome: examination of candidate gene polymorphisms related to lipid metabolism in Japanese people
J. Med. Genet., January 1, 2008; 45(1): 22 - 28.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
N. Franceschini, J. W. MacCluer, H. H.H. Goring, S. A. Cole, K. M. Rose, L. Almasy, V. Diego, S. Laston, E. T. Lee, B. V. Howard, et al.
A Quantitative Trait Loci-Specific Gene-by-Sex Interaction on Systolic Blood Pressure Among American Indians: The Strong Heart Family Study
Hypertension, August 1, 2006; 48(2): 266 - 270.
[Abstract] [Full Text] [PDF]