Genetics of Atherosclerosis in Mexican Americans
Primary Purpose
Cardiovascular Diseases, Coronary Disease, Obesity
Status
Completed
Phase
Locations
Study Type
Observational
Intervention
Sponsored by
About this trial
This is an observational trial for Cardiovascular Diseases
Eligibility Criteria
No eligibility criteria
Sites / Locations
Outcomes
Primary Outcome Measures
Secondary Outcome Measures
Full Information
NCT ID
NCT00005462
First Posted
May 25, 2000
Last Updated
July 11, 2016
Sponsor
National Heart, Lung, and Blood Institute (NHLBI)
1. Study Identification
Unique Protocol Identification Number
NCT00005462
Brief Title
Genetics of Atherosclerosis in Mexican Americans
Study Type
Observational
2. Study Status
Record Verification Date
July 2008
Overall Recruitment Status
Completed
Study Start Date
September 1991 (undefined)
Primary Completion Date
May 2008 (Actual)
Study Completion Date
May 2008 (Actual)
3. Sponsor/Collaborators
Name of the Sponsor
National Heart, Lung, and Blood Institute (NHLBI)
4. Oversight
5. Study Description
Brief Summary
To identify individual genes that contribute to variation in susceptibility to coronary heart disease (CHD) in Mexican Americans. The program project grant supports the San Antonio Family Heart Study, the first comprehensive genetic epidemiological study of atherosclerosis and its correlates in Mexican Americans.
Detailed Description
DESIGN NARRATIVE:
The study, which began in 1991, focuses on genes that influence the lipoprotein profile in members of randomly ascertained Mexican-American families, with particular emphasis on genetic effects on reverse cholesterol transport. An overall objective is to investigate the pleiotropic effects of these "lipoprotein genes" and their interactions with genes that affect non-insulin dependent diabetes mellitus (NIDDM) antecedents and body fat distribution. The interactions of lipoprotein genes with sex hormonal status and with environmental risk factors such as diet, exercise, and smoking are investigated. Genetic effects on standard lipoprotein variables are examined, e.g. plasma concentrations of lipoproteins and apolipoproteins. Several novel lipoprotein phenotypes also are analyzed, e.g. amounts of esterified and unesterified cholesterol and of specific apolipoproteins in lipoprotein subclasses. Molecular, biochemical, and statistical genetic approaches are used to detect, localize and characterize genes that influence quantitative phenotypes associated with lipoproteins, NIDDM, and obesity, and to quantify the effects of known candidate loci on these phenotypes.
The study was renewed in 1997. The subprojects as described in the summary statement are as follows.
In Project 1, gene mapping is performed on genes that influence quantitative phenotypes related to the development of atherosclerosis in Mexican American families in the San Antonio Family Heart Study. A genomic search using a 10 centimorgan map of 3 91 short tandem report markers distributed throughout the genome is used to determine the chromosomal location of six major genes influencing HDL cholesterol, LDL cholesterol, apo A1, apob, SHBC, and DHEAS. Evidence for major gene effects is sought for lipoprotein phenotypes for which no major genes have yet been detected. Genetic effects on carotid and fibrinolysis phenotypes are quantified using data from a recall of 750 family members. Full pedigree variance component analysis as well as penetrance-based methods are used in a genomic search to determine the chromosomal locations of genes that influence these phenotypes. To improve genetic models, strengthen evidence for linkage, and reduce the number of false positives, GxE interactions and pleiotropic and epistatic effects of major genes are quantified.
In Project 2, a genome-wide search is carried out to localize genes that contribute to quantitative variation in traits related to atherosclerosis, NIDDM, and obesity. The first, primary task is the genotyping of some 1,400 pedigree members for 391 short tandem repeat (STR) markers using semi-automated, fluorescence based genotyping on an ABI automatic sequencer. When statistical evidence of linkage has been evaluated in Projects 1 and 3 and confirmed, "additional STRs" will be typed in the region to further localize the gene. The initial map will have a 10 centimorgan resolution. Multipoint linkage analysis and gametic disequilibrium analysis will be used to further localize the region containing the gene of interest. The human gene map will then be consulted to identify candidate genes in the region, and these genes will be subjected to a more detailed molecular analysis to identify structural or functional differences that underlie the observed allelic effects.
In Project 3, genetic determinants of NIDDM and obesity are determined and the effects of these genes are specified on lipoproteins, carotid wall thickness, and other phenotypes pertaining to cardiovascular risk.
Core A, Field and Clinical Operations has five aims. The first is to reexamine 750 of the original study participants near the sixth anniversary of their baseline exam. The second is to update demographic information, medical history, physical activity and dietary habits. The third aim is to perform an oral glucose tolerance test with insulin measurement and to obtain fasting blood specimens for other projects and labs. The fourth is to perform B-mode ultrasonography exams of the internal carotid artery. The fifth is to construct a computerized data file containing these data.
Core B, Computing and Data Management, provides database management for genotypic/phenotypic data, for clinical and interview data, and for pedigrees based on these data.
Core C, Clinical Phenotypes and Resources, performs analyses to measure LDL particle sizes in the frozen samples from the original 1,588 samples, measures LP(A) concentrations and performs apo(a) phenotyping in the recall samples, measures plasma lipids and HDL cholesterol in the recall samples, and contracts for measurement of fibrinolytic endpoints in the recall sample.
Core D is the Administation Core.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Cardiovascular Diseases, Coronary Disease, Obesity, Atherosclerosis, Diabetes Mellitus, Non-insulin Dependent, Diabetes Mellitus
7. Study Design
10. Eligibility
Sex
Male
Maximum Age & Unit of Time
100 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
No eligibility criteria
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Jean MacCluer
Organizational Affiliation
Southwest Foundation for Biomedical Research
12. IPD Sharing Statement
Citations:
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Blangero J, Williams JT, Almasy L. Variance component methods for detecting complex trait loci. Adv Genet. 2001;42:151-81. doi: 10.1016/s0065-2660(01)42021-9.
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10868977
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Mitchell BD, Cole SA, Hsueh WC, Comuzzie AG, Blangero J, MacCluer JW, Hixson JE. Linkage of serum insulin concentrations to chromosome 3p in Mexican Americans. Diabetes. 2000 Mar;49(3):513-6. doi: 10.2337/diabetes.49.3.513.
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11255245
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Atwood LD, Samollow PB, Hixson JE, Stern MP, MacCluer JW. Genome-wide linkage analysis of blood pressure in Mexican Americans. Genet Epidemiol. 2001 Apr;20(3):373-82. doi: 10.1002/gepi.7.
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11230312
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Atwood LD, Samollow PB, Hixson JE, Stern MP, MacCluer JW. Genome-wide linkage analysis of pulse pressure in Mexican Americans. Hypertension. 2001 Feb;37(2 Pt 2):425-8. doi: 10.1161/01.hyp.37.2.425.
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11118932
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Hsueh WC, Mitchell BD, Hixson JE, Rainwater DL. Effects of the ApoE polymorphism on plasma lipoproteins in Mexican Americans. Ann Epidemiol. 2000 Nov;10(8):524-31. doi: 10.1016/s1047-2797(00)00074-0.
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10951548
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Comuzzie AG, Almasy L, Cole SA, Boss O, Giacobino JP, Muzzin P, Stern MP, MacCluer JW, Blangero J, Hixson JE. Linkage exclusion analysis of the chromosome 11 region containing UCP2 and UCP3 with obesity-related phenotypes in Mexican Americans. Int J Obes Relat Metab Disord. 2000 Aug;24(8):1065-8. doi: 10.1038/sj.ijo.0801257.
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PubMed Identifier
11327104
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Comuzzie AG, Williams JT, Martin LJ, Blangero J. Searching for genes underlying normal variation in human adiposity. J Mol Med (Berl). 2001;79(1):57-70. doi: 10.1007/s001090100202.
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PubMed Identifier
11315829
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Hsueh WC, Cole SA, Shuldiner AR, Beamer BA, Blangero J, Hixson JE, MacCluer JW, Mitchell BD. Interactions between variants in the beta3-adrenergic receptor and peroxisome proliferator-activated receptor-gamma2 genes and obesity. Diabetes Care. 2001 Apr;24(4):672-7. doi: 10.2337/diacare.24.4.672.
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PubMed Identifier
11793786
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Almasy L, Towne B, Peterson C, Blangero J. Detecting genotype x age interaction. Genet Epidemiol. 2001;21 Suppl 1:S819-24. doi: 10.1002/gepi.2001.21.s1.s819.
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11793785
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Almasy L. Introduction: methods for detecting genotype X environment interaction. Genet Epidemiol. 2001;21 Suppl 1:S817-8. doi: 10.1002/gepi.2001.21.s1.s817. No abstract available.
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11793782
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Williams JT, North KE, Martin LJ, Comuzzie AG, Goring HH, Blangero J. Distribution of lod scores in oligogenic linkage analysis. Genet Epidemiol. 2001;21 Suppl 1:S805-10. doi: 10.1002/gepi.2001.21.s1.s805.
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11793779
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Martin LJ, Comuzzie AG, North KE, Williams JT, Blangero J. The utility of Bayesian model averaging for detecting known oligogenic effects. Genet Epidemiol. 2001;21 Suppl 1:S789-93. doi: 10.1002/gepi.2001.21.s1.s789.
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11793778
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Goring HH, Williams JT, Blangero J. Linkage analysis of quantitative traits in randomly ascertained pedigrees: comparison of penetrance-based and variance component analysis. Genet Epidemiol. 2001;21 Suppl 1:S783-8. doi: 10.1002/gepi.2001.21.s1.s783.
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PubMed Identifier
11793777
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Czerwinski SA, Williams JT, Demerath EW, Towne B, Siervogel RM, Blangero J. Does accounting for mitochondrial genetic variation improve the fit of genetic models? Genet Epidemiol. 2001;21 Suppl 1:S779-82. doi: 10.1002/gepi.2001.21.s1.s779.
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11793776
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Arya R, Duggirala R, Williams JT, Almasy L, Blangero J. Power to localize the major gene for disease liability is increased after accounting for the effects of related quantitative phenotypes. Genet Epidemiol. 2001;21 Suppl 1:S774-8. doi: 10.1002/gepi.2001.21.s1.s774.
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PubMed Identifier
11793675
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Dyer TD, Blangero J, Williams JT, Goring HH, Mahaney MC. The effect of pedigree complexity on quantitative trait linkage analysis. Genet Epidemiol. 2001;21 Suppl 1:S236-43. doi: 10.1002/gepi.2001.21.s1.s236.
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PubMed Identifier
11793693
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Almasy L, Terwilliger JD, Nielsen D, Dyer TD, Zaykin D, Blangero J. GAW12: simulated genome scan, sequence, and family data for a common disease. Genet Epidemiol. 2001;21 Suppl 1:S332-8. doi: 10.1002/gepi.2001.21.s1.s332.
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PubMed Identifier
11793664
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Bethony J, Williams JT, Almasy L, Correa-Oliveira R, Blangero JC, Williams-Blangero S. Genetic analysis of quantitative traits in highly ascertained samples: total serum IgE in families with asthma. Genet Epidemiol. 2001;21 Suppl 1:S174-9. doi: 10.1002/gepi.2001.21.s1.s174.
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PubMed Identifier
11793721
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Hsueh WC, Goring HH, Blangero J, Mitchell BD. Replication of linkage to quantitative trait loci: variation in location and magnitude of the lod score. Genet Epidemiol. 2001;21 Suppl 1:S473-8. doi: 10.1002/gepi.2001.21.s1.s473.
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11793697
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Mitchell BD, Hsueh WC, Schneider JL, Blangero J. Using step-wise linear regression to detect "functional" sequence variants: application to simulated data. Genet Epidemiol. 2001;21 Suppl 1:S353-7. doi: 10.1002/gepi.2001.21.s1.s353.
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11793694
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Mitchell BD. Introduction: association and TDT analyses of quantitative traits. Genet Epidemiol. 2001;21 Suppl 1:S339-40. doi: 10.1002/gepi.2001.21.s1.s339. No abstract available.
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PubMed Identifier
11788957
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Martin LJ, Cole SA, Hixson JE, Mahaney MC, Czerwinski SA, Almasy L, Blangero J, Comuzzie AG. Genotype by smoking interaction for leptin levels in the San Antonio Family Heart Study. Genet Epidemiol. 2002 Feb;22(2):105-15. doi: 10.1002/gepi.0135.
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PubMed Identifier
11593451
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Goring HH, Terwilliger JD, Blangero J. Large upward bias in estimation of locus-specific effects from genomewide scans. Am J Hum Genet. 2001 Dec;69(6):1357-69. doi: 10.1086/324471. Epub 2001 Oct 9.
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12117713
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Almasy L, MacCluer JW. Association studies of vascular phenotypes: how and why? Arterioscler Thromb Vasc Biol. 2002 Jul 1;22(7):1055-7. doi: 10.1161/01.atv.0000024686.49995.41. No abstract available.
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PubMed Identifier
12105281
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Martin LJ, Mahaney MC, Almasy L, Hixson JE, Cole SA, MacCluer JW, Jaquish CE, Blangero J, Comuzzie AG. A quantitative trait locus on chromosome 22 for serum leptin levels adjusted for serum testosterone. Obes Res. 2002 Jul;10(7):602-7. doi: 10.1038/oby.2002.82.
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PubMed Identifier
12588781
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Mahaney MC, Almasy L, Rainwater DL, VandeBerg JL, Cole SA, Hixson JE, Blangero J, MacCluer JW. A quantitative trait locus on chromosome 16q influences variation in plasma HDL-C levels in Mexican Americans. Arterioscler Thromb Vasc Biol. 2003 Feb 1;23(2):339-45. doi: 10.1161/01.atv.0000051406.14162.6a.
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PubMed Identifier
12468769
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Hunt KJ, Duggirala R, Goring HH, Williams JT, Almasy L, Blangero J, O'Leary DH, Stern MP. Genetic basis of variation in carotid artery plaque in the San Antonio Family Heart Study. Stroke. 2002 Dec;33(12):2775-80. doi: 10.1161/01.str.0000043827.03966.ef.
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12433588
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Terwilliger JD, Haghighi F, Hiekkalinna TS, Goring HH. A bias-ed assessment of the use of SNPs in human complex traits. Curr Opin Genet Dev. 2002 Dec;12(6):726-34. doi: 10.1016/s0959-437x(02)00357-x.
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12468410
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Comuzzie AG. The emerging pattern of the genetic contribution to human obesity. Best Pract Res Clin Endocrinol Metab. 2002 Dec;16(4):611-21. doi: 10.1053/beem.2002.0224.
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14763601
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Comuzzie AG, Mitchell BD, Cole S, Martin LJ, Hsueh WC, Rainwater DL, Almasy L, Stern MP, Hixson J, MacCluer JW, Blangero J. The genetics of obesity in Mexican Americans: the evidence from genome scanning efforts in the San Antonio family heart study. Hum Biol. 2003 Oct;75(5):635-46. doi: 10.1353/hub.2003.0073.
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15172664
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Blangero J. Localization and identification of human quantitative trait loci: king harvest has surely come. Curr Opin Genet Dev. 2004 Jun;14(3):233-40. doi: 10.1016/j.gde.2004.04.009.
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15154942
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Wang XL, Rainwater DL, Leone A, Mahaney MC. Effects of diabetes on plasma nitrotyrosine levels. Diabet Med. 2004 Jun;21(6):577-80. doi: 10.1111/j.1464-5491.2004.01211.x.
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15090635
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Martin LJ, Cianflone K, Zakarian R, Nagrani G, Almasy L, Rainwater DL, Cole S, Hixson JE, MacCluer JW, Blangero J, Comuzzie AG. Bivariate linkage between acylation-stimulating protein and BMI and high-density lipoproteins. Obes Res. 2004 Apr;12(4):669-78. doi: 10.1038/oby.2004.77.
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15598220
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Williams JT, Blangero J. Power of variance component linkage analysis-II. Discrete traits. Ann Hum Genet. 2004 Nov;68(Pt 6):620-32. doi: 10.1046/j.1529-8817.2004.00128.x.
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15380462
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Rainwater DL, Mahaney MC, VandeBerg JL, Brush G, Almasy L, Blangero J, Dyke B, Hixson JE, Cole SA, MacCluer JW. A quantitative trait locus influences coordinated variation in measures of ApoB-containing lipoproteins. Atherosclerosis. 2004 Oct;176(2):379-86. doi: 10.1016/j.atherosclerosis.2004.06.004.
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15054840
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Marks DL, Boucher N, Lanouette CM, Perusse L, Brookhart G, Comuzzie AG, Chagnon YC, Cone RD. Ala67Thr polymorphism in the Agouti-related peptide gene is associated with inherited leanness in humans. Am J Med Genet A. 2004 Apr 30;126A(3):267-71. doi: 10.1002/ajmg.a.20600.
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Genetics of Atherosclerosis in Mexican Americans
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