Genome-Wide Linkage Scan for Genes Influencing Plasma Triglyceride Levels in the Veterans Administration Genetic Epidemiology Study
Genome-Wide Linkage Scan for Genes Influencing Plasma Triglyceride Levels in the Veterans Administration Genetic Epidemiology Study Dawn K. Coletta 1 , Jennifer Schneider 2 , Shirley L. Hu 1 , Thomas D. Dyer 2 , Sobha Puppala 2 , Vidya S. Farook 2 , Rector Arya 3 , Donna M. Lehman 3 , John Blangero...
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Published in | Diabetes (New York, N.Y.) Vol. 58; no. 1; pp. 279 - 284 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Alexandria, VA
American Diabetes Association
01.01.2009
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Subjects | |
Online Access | Get full text |
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Summary: | Genome-Wide Linkage Scan for Genes Influencing Plasma Triglyceride Levels in the Veterans Administration Genetic Epidemiology
Study
Dawn K. Coletta 1 ,
Jennifer Schneider 2 ,
Shirley L. Hu 1 ,
Thomas D. Dyer 2 ,
Sobha Puppala 2 ,
Vidya S. Farook 2 ,
Rector Arya 3 ,
Donna M. Lehman 3 ,
John Blangero 2 ,
Ralph A. DeFronzo 1 4 ,
Ravindranath Duggirala 2 and
Christopher P. Jenkinson 1 2 4
1 Division of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas
2 Southwest Foundation for Biomedical Research, San Antonio, Texas
3 Division of Clinical Epidemiology, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio,
Texas
4 South Texas Veterans Health Care System, San Antonio, Texas
Corresponding author: Dawn K. Coletta, dawn.coletta{at}asu.edu
Abstract
OBJECTIVE— Elevated plasma triglyceride concentration is a component of the insulin resistance syndrome and is commonly associated with
type 2 diabetes, obesity, and coronary heart disease. The goal of our study was to perform a genome-wide linkage scan to identify
genetic regions that influence variation in plasma triglyceride levels in families that are enriched with individuals with
type 2 diabetes.
RESEARCH DESIGN AND METHODS— We used phenotypic and genotypic data from 1,026 individuals distributed across 294 Mexican-American families, who were ascertained
for type 2 diabetes, from the Veterans Administration Genetic Epidemiology Study (VAGES). Plasma triglyceride values were
transformed, and a variance-components technique was used to conduct multipoint linkage analysis.
RESULTS— After adjusting for the significant effects of sex and BMI, heritability for plasma triglycerides was estimated as 46 ± 7%
( P < 0.0001). Multipoint linkage analysis yielded the strongest evidence for linkage of plasma triglycerides near marker D12S391
on chromosome 12p (logarithm of odds [LOD] = 2.4). Our linkage signal on chromosome 12p provides independent replication of
a similar finding in another Mexican-American sample from the San Antonio Family Diabetes Study (SAFDS). Combined multipoint
linkage analysis of the VAGES and SAFDS data yielded significant evidence for linkage of plasma triglycerides to a genetic
location between markers GATA49D12 and D12S391 on 12p (LOD = 3.8, empirical P value = 2.0 × 10 −5 ). This region on 12p harbors the gene-encoding adiponectin receptor 2 ( AdipoR2 ), where we previously have shown that multiple single nucleotide polymorphisms are associated with plasma triglyceride concentrations
in the SAFDS. In the present study, we provided suggestive evidence in favor of association for rs929434 with triglyceride
concentrations in the VAGES.
CONCLUSIONS— Collectively, these results provide strong evidence for a major locus on chromosome 12p that influences plasma triglyceride
levels in Mexican Americans.
Footnotes
Published ahead of print at http://diabetes.diabetesjournals.org on 17 October 2008.
D.K.C. is currently affiliated with the Center for Metabolic Biology, College of Liberal Arts and Sciences, Arizona State
University, Tempe, Arizona.
Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work
is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore
be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Accepted October 7, 2008.
Received April 10, 2008.
DIABETES |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Published ahead of print at http://diabetes.diabetesjournals.org on 17 October 2008. Corresponding author: Dawn K. Coletta, dawn.coletta@asu.edu D.K.C. is currently affiliated with the Center for Metabolic Biology, College of Liberal Arts and Sciences, Arizona State University, Tempe, Arizona. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. |
ISSN: | 0012-1797 1939-327X |
DOI: | 10.2337/db08-0491 |